technological evolution essay

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The Evolution of Technology

Categories: Dependence on Technology Evolution

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Published: Dec 18, 2018

Words: 640 | Page: 1 | 4 min read

Technology Essay: Hook Examples

The Digital Revolution: In the 21st century, technology has reshaped every facet of our lives. This essay delves into the profound impact of the digital revolution, from smartphones to artificial intelligence, and how it continues to shape our world.
From Stone Tools to Silicon Chips: Human history is marked by technological advancements. Join us as we journey through time, exploring the milestones that have propelled humanity from the Stone Age to the Information Age.
The Ethical Crossroads: Advancements in technology bring forth ethical dilemmas. This essay examines the ethical challenges posed by emerging technologies, from genetic engineering to surveillance, and the need for responsible innovation.
Technology in Education: Education is undergoing a digital transformation. Explore how technology is revolutionizing classrooms, expanding access to knowledge, and reshaping the way we learn.
The Future Unveiled: What does the future hold in the realm of technology? In this essay, we’ll peer into the crystal ball of tech trends, from quantum computing to space exploration, and envision the world that awaits us.

Works Cited

Feeney, A. (2019). Overcoming Fear: Finding the Courage to Face Your Fears and Embrace Change. John Wiley & Sons.
Seligman, M. E. (2006). Learned optimism: How to change your mind and your life. Vintage.
Adams, S. K. (2019). How to Overcome Fear and Find Your Courage: Overcoming Fear, Gaining Confidence, Building Trust, and Improving Self Esteem. Independently Published.
Brown, B. (2012). Daring Greatly: How the Courage to Be Vulnerable Transforms the Way We Live, Love, Parent, and Lead. Avery.
Knaus, W. J. (2006). Fearless: Imagine Your Life Without Fear. American Management Association.
Chansky, T. E. (2014). Freeing your child from anxiety: Powerful, practical solutions to overcome your child’s fears, worries, and phobias. Harmony.
Lerner, H. G. (2015). Fear and other uninvited guests: Tackling the anxiety, fear, and shame that keep us from optimal living and loving. HarperCollins.
Rappaport, J. (2017). The Courage Habit: How to Accept Your Fears, Release the Past, and Live Your Courageous Life. New Harbinger Publications.
McGrath, C. (2018). The Psychology of Fear in Organizations: How to Transform Anxiety into Well-being, Productivity and Innovation. Kogan Page.
Gilbert, E. (2019). Big Magic: Creative Living Beyond Fear. Riverhead Books.

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Technology over the long run: zoom out to see how dramatically the world can change within a lifetime

It is easy to underestimate how much the world can change within a lifetime. considering how dramatically the world has changed can help us see how different the world could be in a few years or decades..

Technology can change the world in ways that are unimaginable until they happen. Switching on an electric light would have been unimaginable for our medieval ancestors. In their childhood, our grandparents would have struggled to imagine a world connected by smartphones and the Internet.

Similarly, it is hard for us to imagine the arrival of all those technologies that will fundamentally change the world we are used to.

We can remind ourselves that our own future might look very different from the world today by looking back at how rapidly technology has changed our world in the past. That’s what this article is about.

One insight I take away from this long-term perspective is how unusual our time is. Technological change was extremely slow in the past – the technologies that our ancestors got used to in their childhood were still central to their lives in their old age. In stark contrast to those days, we live in a time of extraordinarily fast technological change. For recent generations, it was common for technologies that were unimaginable in their youth to become common later in life.

The long-run perspective on technological change

The big visualization offers a long-term perspective on the history of technology. 1

The timeline begins at the center of the spiral. The first use of stone tools, 3.4 million years ago, marks the beginning of this history of technology. 2 Each turn of the spiral represents 200,000 years of history. It took 2.4 million years – 12 turns of the spiral – for our ancestors to control fire and use it for cooking. 3

To be able to visualize the inventions in the more recent past – the last 12,000 years – I had to unroll the spiral. I needed more space to be able to show when agriculture, writing, and the wheel were invented. During this period, technological change was faster, but it was still relatively slow: several thousand years passed between each of these three inventions.

From 1800 onwards, I stretched out the timeline even further to show the many major inventions that rapidly followed one after the other.

The long-term perspective that this chart provides makes it clear just how unusually fast technological change is in our time.

You can use this visualization to see how technology developed in particular domains. Follow, for example, the history of communication: from writing to paper, to the printing press, to the telegraph, the telephone, the radio, all the way to the Internet and smartphones.

Or follow the rapid development of human flight. In 1903, the Wright brothers took the first flight in human history (they were in the air for less than a minute), and just 66 years later, we landed on the moon. Many people saw both within their lifetimes: the first plane and the moon landing.

This large visualization also highlights the wide range of technology’s impact on our lives. It includes extraordinarily beneficial innovations, such as the vaccine that allowed humanity to eradicate smallpox , and it includes terrible innovations, like the nuclear bombs that endanger the lives of all of us .

What will the next decades bring?

The red timeline reaches up to the present and then continues in green into the future. Many children born today, even without further increases in life expectancy, will live well into the 22nd century.

New vaccines, progress in clean, low-carbon energy, better cancer treatments – a range of future innovations could very much improve our living conditions and the environment around us. But, as I argue in a series of articles , there is one technology that could even more profoundly change our world: artificial intelligence (AI).

One reason why artificial intelligence is such an important innovation is that intelligence is the main driver of innovation itself. This fast-paced technological change could speed up even more if it’s driven not only by humanity’s intelligence but also by artificial intelligence. If this happens, the change currently stretched out over decades might happen within a very brief time span of just a year. Possibly even faster. 4

I think AI technology could have a fundamentally transformative impact on our world. In many ways, it is already changing our world, as I documented in this companion article . As this technology becomes more capable in the years and decades to come, it can give immense power to those who control it (and it poses the risk that it could escape our control entirely).

Such systems might seem hard to imagine today, but AI technology is advancing quickly. Many AI experts believe there is a real chance that human-level artificial intelligence will be developed within the next decades, as I documented in this article .

Technology will continue to change the world – we should all make sure that it changes it for the better

What is familiar to us today – photography, the radio, antibiotics, the Internet, or the International Space Station circling our planet – was unimaginable to our ancestors just a few generations ago. If your great-great-great grandparents could spend a week with you, they would be blown away by your everyday life.

What I take away from this history is that I will likely see technologies in my lifetime that appear unimaginable to me today.

In addition to this trend towards increasingly rapid innovation, there is a second long-run trend. Technology has become increasingly powerful. While our ancestors wielded stone tools, we are building globe-spanning AI systems and technologies that can edit our genes.

Because of the immense power that technology gives those who control it, there is little that is as important as the question of which technologies get developed during our lifetimes. Therefore, I think it is a mistake to leave the question about the future of technology to the technologists. Which technologies are controlled by whom is one of the most important political questions of our time because of the enormous power these technologies convey to those who control them.

We all should strive to gain the knowledge we need to contribute to an intelligent debate about the world we want to live in. To a large part, this means gaining knowledge and wisdom on the question of which technologies we want.

Acknowledgments: I would like to thank my colleagues Hannah Ritchie, Bastian Herre, Natasha Ahuja, Edouard Mathieu, Daniel Bachler, Charlie Giattino, and Pablo Rosado for their helpful comments on drafts of this essay and the visualization. Thanks also to Lizka Vaintrob and Ben Clifford for the conversation that initiated this visualization.

Appendix: About the choice of visualization in this article

The recent speed of technological change makes it difficult to picture the history of technology in one visualization. When you visualize this development on a linear timeline, then most of the timeline is almost empty, while all the action is crammed into the right corner:

In my large visualization here, I tried to avoid this problem and instead show the long history of technology in a way that lets you see when each technological breakthrough happened and how, within the last millennia, there was a continuous acceleration of technological change.

The recent speed of technological change makes it difficult to picture the history of technology in one visualization. In the appendix, I show how this would look if it were linear.

It is, of course, difficult to assess when exactly the first stone tools were used.

The research by McPherron et al. (2010) suggested that it was at least 3.39 million years ago. This is based on two fossilized bones found in Dikika in Ethiopia, which showed “stone-tool cut marks for flesh removal and percussion marks for marrow access”. These marks were interpreted as being caused by meat consumption and provide the first evidence that one of our ancestors, Australopithecus afarensis, used stone tools.

The research by Harmand et al. (2015) provided evidence for stone tool use in today’s Kenya 3.3 million years ago.

References:

McPherron et al. (2010) – Evidence for stone-tool-assisted consumption of animal tissues before 3.39 million years ago at Dikika, Ethiopia . Published in Nature.

Harmand et al. (2015) – 3.3-million-year-old stone tools from Lomekwi 3, West Turkana, Kenya . Published in Nature.

Evidence for controlled fire use approximately 1 million years ago is provided by Berna et al. (2012) Microstratigraphic evidence of in situ fire in the Acheulean strata of Wonderwerk Cave, Northern Cape province, South Africa , published in PNAS.

The authors write: “The ability to control fire was a crucial turning point in human evolution, but the question of when hominins first developed this ability still remains. Here we show that micromorphological and Fourier transform infrared microspectroscopy (mFTIR) analyses of intact sediments at the site of Wonderwerk Cave, Northern Cape province, South Africa, provide unambiguous evidence—in the form of burned bone and ashed plant remains—that burning took place in the cave during the early Acheulean occupation, approximately 1.0 Ma. To the best of our knowledge, this is the earliest secure evidence for burning in an archaeological context.”

This is what authors like Holden Karnofsky called ‘Process for Automating Scientific and Technological Advancement’ or PASTA. Some recent developments go in this direction: DeepMind’s AlphaFold helped to make progress on one of the large problems in biology, and they have also developed an AI system that finds new algorithms that are relevant to building a more powerful AI.

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Industrial Revolution and Technology

Whether it was mechanical inventions or new ways of doing old things, innovations powered the Industrial Revolution.

Social Studies, World History

Steam Engine Queens Mill

The use of steam-powered machines in cotton production pushed Britain’s economic development from 1750 to 1850. Built more than 100 years ago, this steam engine still powers the Queens Mill textile factory in Burnley, England, United Kingdom.

Photograph by Ashley Cooper

It has been said that the Industrial Revolution was the most profound revolution in human history, because of its sweeping impact on people’s daily lives. The term “industrial revolution” is a succinct catchphrase to describe a historical period, starting in 18th-century Great Britain, where the pace of change appeared to speed up. This acceleration in the processes of technical innovation brought about an array of new tools and machines. It also involved more subtle practical improvements in various fields affecting labor, production, and resource use. The word “technology” (which derives from the Greek word techne , meaning art or craft) encompasses both of these dimensions of innovation. The technological revolution, and that sense of ever-quickening change, began much earlier than the 18th century and has continued all the way to the present day. Perhaps what was most unique about the Industrial Revolution was its merger of technology with industry. Key inventions and innovations served to shape virtually every existing sector of human activity along industrial lines, while also creating many new industries. The following are some key examples of the forces driving change. Agriculture Western European farming methods had been improving gradually over the centuries. Several factors came together in 18th-century Britain to bring about a substantial increase in agricultural productivity. These included new types of equipment, such as the seed drill developed by Jethro Tull around 1701. Progress was also made in crop rotation and land use, soil health, development of new crop varieties, and animal husbandry . The result was a sustained increase in yields, capable of feeding a rapidly growing population with improved nutrition. The combination of factors also brought about a shift toward large-scale commercial farming, a trend that continued into the 19th century and later. Poorer peasants had a harder time making ends meet through traditional subsistence farming. The enclosure movement, which converted common-use pasture land into private property, contributed to this trend toward market-oriented agriculture. A great many rural workers and families were forced by circumstance to migrate to the cities to become industrial laborers. Energy Deforestation in England had led to a shortage of wood for lumber and fuel starting in the 16th century. The country’s transition to coal as a principal energy source was more or less complete by the end of the 17th century. The mining and distribution of coal set in motion some of the dynamics that led to Britain’s industrialization. The coal-fired steam engine was in many respects the decisive technology of the Industrial Revolution. Steam power was first applied to pump water out of coal mines. For centuries, windmills had been employed in the Netherlands for the roughly similar operation of draining low-lying flood plains. Wind was, and is, a readily available and renewable energy source, but its irregularity was considered a drawback. Water power was a more popular energy source for grinding grain and other types of mill work in most of preindustrial Europe. By the last quarter of the 18th century, however, thanks to the work of the Scottish engineer James Watt and his business partner Matthew Boulton, steam engines achieved a high level of efficiency and versatility in their design. They swiftly became the standard power supply for British, and, later, European industry. The steam engine turned the wheels of mechanized factory production. Its emergence freed manufacturers from the need to locate their factories on or near sources of water power. Large enterprises began to concentrate in rapidly growing industrial cities. Metallurgy In this time-honored craft, Britain’s wood shortage necessitated a switch from wood charcoal to coke, a coal product, in the smelting process. The substitute fuel eventually proved highly beneficial for iron production. Experimentation led to some other advances in metallurgical methods during the 18th century. For example, a certain type of furnace that separated the coal and kept it from contaminating the metal, and a process of “puddling” or stirring the molten iron, both made it possible to produce larger amounts of wrought iron. Wrought iron is more malleable than cast iron and therefore more suitable for fabricating machinery and other heavy industrial applications. Textiles The production of fabrics, especially cotton, was fundamental to Britain’s economic development between 1750 and 1850. Those are the years historians commonly use to bracket the Industrial Revolution. In this period, the organization of cotton production shifted from a small-scale cottage industry, in which rural families performed spinning and weaving tasks in their homes, to a large, mechanized, factory-based industry. The boom in productivity began with a few technical devices, including the spinning jenny, spinning mule, and power loom. First human, then water, and finally steam power were applied to operate power looms, carding machines, and other specialized equipment. Another well-known innovation was the cotton gin, invented in the United States in 1793. This device spurred an increase in cotton cultivation and export from U.S. slave states, a key British supplier. Chemicals This industry arose partly in response to the demand for improved bleaching solutions for cotton and other manufactured textiles. Other chemical research was motivated by the quest for artificial dyes, explosives, solvents , fertilizers, and medicines, including pharmaceuticals. In the second half of the 19th century, Germany became the world’s leader in industrial chemistry. Transportation Concurrent with the increased output of agricultural produce and manufactured goods arose the need for more efficient means of delivering these products to market. The first efforts toward this end in Europe involved constructing improved overland roads. Canals were dug in both Europe and North America to create maritime corridors between existing waterways. Steam engines were recognized as useful in locomotion, resulting in the emergence of the steamboat in the early 19th century. High-pressure steam engines also powered railroad locomotives, which operated in Britain after 1825. Railways spread rapidly across Europe and North America, extending to Asia in the latter half of the 19th century. Railroads became one of the world’s leading industries as they expanded the frontiers of industrial society.

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Introductory essay

Written by the educator who created What Makes Us Human?, a brief look at the key facts, tough questions and big ideas in his field. Begin this TED Study with a fascinating read that gives context and clarity to the material.

As a biological anthropologist, I never liked drawing sharp distinctions between human and non-human. Such boundaries make little evolutionary sense, as they ignore or grossly underestimate what we humans have in common with our ancestors and other primates. What's more, it's impossible to make sharp distinctions between human and non-human in the paleoanthropological record. Even with a time machine, we couldn't go back to identify one generation of humans and say that the previous generation contained none: one's biological parents, by definition, must be in the same species as their offspring. This notion of continuity is inherent to most evolutionary perspectives and it's reflected in the similarities (homologies) shared among very different species. As a result, I've always been more interested in what makes us similar to, not different from, non-humans.

Evolutionary research has clearly revealed that we share great biological continuity with others in the animal kingdom. Yet humans are truly unique in ways that have not only shaped our own evolution, but have altered the entire planet. Despite great continuity and similarity with our fellow primates, our biocultural evolution has produced significant, profound discontinuities in how we interact with each other and in our environment, where no precedent exists in other animals. Although we share similar underlying evolved traits with other species, we also display uses of those traits that are so novel and extraordinary that they often make us forget about our commonalities. Preparing a twig to fish for termites may seem comparable to preparing a stone to produce a sharp flake—but landing on the moon and being able to return to tell the story is truly out of this non-human world.

Humans are the sole hominin species in existence today. Thus, it's easier than it would have been in the ancient past to distinguish ourselves from our closest living relatives in the animal kingdom. Primatologists such as Jane Goodall and Frans de Waal, however, continue to clarify why the lines dividing human from non-human aren't as distinct as we might think. Goodall's classic observations of chimpanzee behaviors like tool use, warfare and even cannibalism demolished once-cherished views of what separates us from other primates. de Waal has done exceptional work illustrating some continuity in reciprocity and fairness, and in empathy and compassion, with other species. With evolution, it seems, we are always standing on the shoulders of others, our common ancestors.

Primatology—the study of living primates—is only one of several approaches that biological anthropologists use to understand what makes us human. Two others, paleoanthropology (which studies human origins through the fossil record) and molecular anthropology (which studies human origins through genetic analysis), also yield some surprising insights about our hominin relatives. For example, Zeresenay Alemsegad's painstaking field work and analysis of Selam, a 3.3 million-year old fossil of a 3-year-old australopithecine infant from Ethiopia, exemplifies how paleoanthropologists can blur boundaries between living humans and apes.

Selam, if alive today, would not be confused with a three-year-old human—but neither would we mistake her for a living ape. Selam's chimpanzee-like hyoid bone suggests a more ape-like form of vocal communication, rather than human language capability. Overall, she would look chimp-like in many respects—until she walked past you on two feet. In addition, based on Selam's brain development, Alemseged theorizes that Selam and her contemporaries experienced a human-like extended childhood with a complex social organization.

Fast-forward to the time when Neanderthals lived, about 130,000 – 30,000 years ago, and most paleoanthropologists would agree that language capacity among the Neanderthals was far more human-like than ape-like; in the Neanderthal fossil record, hyoids and other possible evidence of language can be found. Moreover, paleogeneticist Svante Pääbo's groundbreaking research in molecular anthropology strongly suggests that Neanderthals interbred with modern humans. Paabo's work informs our genetic understanding of relationships to ancient hominins in ways that one could hardly imagine not long ago—by extracting and comparing DNA from fossils comprised largely of rock in the shape of bones and teeth—and emphasizes the great biological continuity we see, not only within our own species, but with other hominins sometimes classified as different species.

Though genetics has made truly astounding and vital contributions toward biological anthropology by this work, it's important to acknowledge the equally pivotal role paleoanthropology continues to play in its tandem effort to flesh out humanity's roots. Paleoanthropologists like Alemsegad draw on every available source of information to both physically reconstruct hominin bodies and, perhaps more importantly, develop our understanding of how they may have lived, communicated, sustained themselves, and interacted with their environment and with each other. The work of Pääbo and others in his field offers powerful affirmations of paleoanthropological studies that have long investigated the contributions of Neanderthals and other hominins to the lineage of modern humans. Importantly, without paleoanthropology, the continued discovery and recovery of fossil specimens to later undergo genetic analysis would be greatly diminished.

Molecular anthropology and paleoanthropology, though often at odds with each other in the past regarding modern human evolution, now seem to be working together to chip away at theories that portray Neanderthals as inferior offshoots of humanity. Molecular anthropologists and paleoanthropologists also concur that that human evolution did not occur in ladder-like form, with one species leading to the next. Instead, the fossil evidence clearly reveals an evolutionary bush, with numerous hominin species existing at the same time and interacting through migration, some leading to modern humans and others going extinct.

Molecular anthropologist Spencer Wells uses DNA analysis to understand how our biological diversity correlates with ancient migration patterns from Africa into other continents. The study of our genetic evolution reveals that as humans migrated from Africa to all continents of the globe, they developed biological and cultural adaptations that allowed for survival in a variety of new environments. One example is skin color. Biological anthropologist Nina Jablonski uses satellite data to investigate the evolution of skin color, an aspect of human biological variation carrying tremendous social consequences. Jablonski underscores the importance of trying to understand skin color as a single trait affected by natural selection with its own evolutionary history and pressures, not as a tool to grouping humans into artificial races.

For Pääbo, Wells, Jablonski and others, technology affords the chance to investigate our origins in exciting new ways, adding pieces into the human puzzle at a record pace. At the same time, our technologies may well be changing who we are as a species and propelling us into an era of "neo-evolution."

Increasingly over time, human adaptations have been less related to predators, resources, or natural disasters, and more related to environmental and social pressures produced by other humans. Indeed, biological anthropologists have no choice but to consider the cultural components related to human evolutionary changes over time. Hominins have been constructing their own niches for a very long time, and when we make significant changes (such as agricultural subsistence), we must adapt to those changes. Classic examples of this include increases in sickle-cell anemia in new malarial environments, and greater lactose tolerance in regions with a long history of dairy farming.

Today we can, in some ways, evolve ourselves. We can enact biological change through genetic engineering, which operates at an astonishing pace in comparison to natural selection. Medical ethicist Harvey Fineberg calls this "neo-evolution". Fineberg goes beyond asking who we are as a species, to ask who we want to become and what genes we want our offspring to inherit. Depending on one's point of view, the future he envisions is both tantalizing and frightening: to some, it shows the promise of science to eradicate genetic abnormalities, while for others it raises the specter of eugenics. It's also worth remembering that while we may have the potential to influence certain genetic predispositions, changes in genotypes do not guarantee the desired results. Environmental and social pressures like pollution, nutrition or discrimination can trigger "epigenetic" changes which can turn genes on or off, or make them less or more active. This is important to factor in as we consider possible medical benefits from efforts in self-directed evolution. We must also ask: In an era of human-engineered, rapid-rate neo-evolution, who decides what the new human blueprints should be?

Technology figures in our evolutionary future in other ways as well. According to anthropologist Amber Case, many of our modern technologies are changing us into cyborgs: our smart phones, tablets and other tools are "exogenous components" that afford us astonishing and unsettling capabilities. They allow us to travel instantly through time and space and to create second, "digital selves" that represent our "analog selves" and interact with others in virtual environments. This has psychological implications for our analog selves that worry Case: a loss of mental reflection, the "ambient intimacy" of knowing that we can connect to anyone we want to at any time, and the "panic architecture" of managing endless information across multiple devices in virtual and real-world environments.

Despite her concerns, Case believes that our technological future is essentially positive. She suggests that at a fundamental level, much of this technology is focused on the basic concerns all humans share: who am I, where and how do I fit in, what do others think of me, who can I trust, who should I fear? Indeed, I would argue that we've evolved to be obsessed with what other humans are thinking—to be mind-readers in a sense—in a way that most would agree is uniquely human. For even though a baboon can assess those baboons it fears and those it can dominate, it cannot say something to a second baboon about a third baboon in order to trick that baboon into telling a fourth baboon to gang up on a fifth baboon. I think Facebook is a brilliant example of tapping into our evolved human psychology. We can have friends we've never met and let them know who we think we are—while we hope they like us and we try to assess what they're actually thinking and if they can be trusted. It's as if technology has provided an online supply of an addictive drug for a social mind evolved to crave that specific stimulant!

Yet our heightened concern for fairness in reciprocal relationships, in combination with our elevated sense of empathy and compassion, have led to something far greater than online chats: humanism itself. As Jane Goodall notes, chimps and baboons cannot rally together to save themselves from extinction; instead, they must rely on what she references as the "indomitable human spirit" to lessen harm done to the planet and all the living things that share it. As Goodall and other TED speakers in this course ask: will we use our highly evolved capabilities to secure a better future for ourselves and other species?

I hope those reading this essay, watching the TED Talks, and further exploring evolutionary perspectives on what makes us human, will view the continuities and discontinuities of our species as cause for celebration and less discrimination. Our social dependency and our prosocial need to identify ourselves, our friends, and our foes make us human. As a species, we clearly have major relationship problems, ranging from personal to global scales. Yet whenever we expand our levels of compassion and understanding, whenever we increase our feelings of empathy across cultural and even species boundaries, we benefit individually and as a species.

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Zeresenay Alemseged

The search for humanity's roots, relevant talks.

Spencer Wells

A family tree for humanity.

Svante Pääbo

Dna clues to our inner neanderthal.

Nina Jablonski

Skin color is an illusion.

We are all cyborgs now

Harvey Fineberg

Are we ready for neo-evolution.

Frans de Waal

Moral behavior in animals.

Jane Goodall

What separates us from chimpanzees.

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Social Interaction Vs Electronic Media Use

Karunaratne, Indika & Atukorale, Ajantha & Perera, Hemamali. (2011). Surveillance of human- computer interactions: A way forward to detection of users' Psychological Distress. 2011 IEEE Colloquium on Humanities, Science and Engineering, CHUSER 2011. 10.1109/CHUSER.2011.6163779.

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The Digital Revolution: How Technology is Changing the Way We Communicate and Interact

This article examines the impact of technology on human interaction and explores the ever-evolving landscape of communication. With the rapid advancement of technology, the methods and modes of communication have undergone a significant transformation. This article investigates both the positive and negative implications of this digitalization. Technological innovations, such as smartphones, social media, and instant messaging apps, have provided unprecedented accessibility and convenience, allowing people to connect effortlessly across distances. However, concerns have arisen regarding the quality and authenticity of these interactions. The article explores the benefits of technology, including improved connectivity, enhanced information sharing, and expanded opportunities for collaboration. It also discusses potential negative effects including a decline in in-person interactions, a loss of empathy, and an increase in online anxiety. This article tries to expand our comprehension of the changing nature of communication in the digital age by exposing the many ways that technology has an impact on interpersonal interactions. It emphasizes the necessity of intentional and thoughtful communication techniques to preserve meaningful connections in a society that is becoming more and more reliant on technology.

Introduction:

Technology has significantly transformed our modes of communication and interaction, revolutionizing the way we connect with one another over the past few decades. However, the COVID-19 pandemic has acted as a catalyst, expediting this transformative process, and necessitating our exclusive reliance on digital tools for socializing, working, and learning. Platforms like social media and video conferencing have emerged in recent years, expanding our options for virtual communication. The impact of these changes on our lives cannot be ignored. In this article, we will delve into the ways in which technology has altered our communication and interaction patterns and explore the consequences of these changes for our relationships, mental well-being, and society.

To gain a deeper understanding of this topic, I have conducted interviews and surveys, allowing us to gather firsthand insights from individuals of various backgrounds. Additionally, we will compare this firsthand information with the perspectives shared by experts in the field. By drawing on both personal experiences and expert opinions, we seek to provide a comprehensive analysis of how technology influences our interpersonal connections. Through this research, we hope to get a deeper comprehension of the complex interactions between technology and people, enabling us to move mindfully and purposefully through the rapidly changing digital environment.

The Evolution of Communication: From Face-to-Face to Digital Connections:

In the realm of communication, we have various mediums at our disposal, such as face-to-face interactions, telephone conversations, and internet-based communication. According to Nancy Baym, an expert in the field of technology and human connections, face-to-face communication is often regarded as the most personal and intimate, while the phone provides a more personal touch than the internet. She explains this in her book Personal Connections in the Digital Age by stating, “Face-to-face is much more personal; phone is personal as well, but not as intimate as face-to-face… Internet would definitely be the least personal, followed by the phone (which at least has the vocal satisfaction) and the most personal would be face-to-face” (Baym 2015). These distinctions suggest that different communication mediums are perceived to have varying levels of effectiveness in conveying emotion and building relationships. This distinction raises thought-provoking questions about the impact of technology on our ability to forge meaningful connections. While the internet offers unparalleled convenience and connectivity, it is essential to recognize its limitations in reproducing the depth of personal interaction found in face-to-face encounters. These limitations may be attributed to the absence of nonverbal cues, such as facial expressions, body language, and tone of voice, which are vital elements in understanding and interpreting emotions accurately.

Traditionally, face-to-face interactions held a prominent role as the primary means of communication, facilitating personal and intimate connections. However, the rise of technology has brought about significant changes, making communication more convenient but potentially less personal. The rise of phones, instant messaging, and social media platforms has revolutionized how we connect with others. While these digital tools offer instant connectivity and enable us to bridge geographical distances, they introduce a layer of blockage that may impact the depth and quality of our interactions. It is worth noting that different communication mediums have their strengths and limitations. Phone conversations, for instance, retain a certain level of personal connection through vocal interactions, allowing for the conveyance of emotions and tones that text-based communication may lack. However, even with this advantage, phone conversations still fall short of the depth and richness found in face-to-face interactions, as they lack visual cues and physical presence.

Internet-based communication, on the other hand, is considered the least personal medium. Online interactions often rely on text-based exchanges, which may not fully capture the nuances of expression, tone, and body language. While the internet offers the ability to connect with a vast network of individuals and share information on a global scale, it may not facilitate the same depth and authenticity that in-person or phone conversations can provide. As a result, establishing meaningful connections and building genuine relationships in an online setting can be challenging. Research and observations support these ideas. Figure 1. titled “Social Interaction after Electronic Media Use,” shows the potential impact of electronic media on social interaction (source: ResearchGate). This research highlights the need to carefully consider the effects of technology on our interpersonal connections. While technology offers convenience and connectivity, it is essential to strike a balance, ensuring that we do not sacrifice the benefits of face-to-face interactions for the sake of digital convenience.

Figure 1: Increased reliance on electronic media has led to a noticeable decrease in social interaction.

The Limitations and Effects of Digital Communication

In today’s digital age, the limitations and effects of digital communication are becoming increasingly evident. While the phone and internet offer undeniable benefits such as convenience and the ability to connect with people regardless of geographical distance, they fall short in capturing the depth and richness of a face-to-face conversation. The ability to be in the same physical space as the person we’re communicating with, observing their facial expressions, body language, and truly feeling their presence, is something unique and irreplaceable.

Ulrike Schultze, in her thought-provoking TED Talk titled “How Social Media Shapes Identity,” delves further into the impact of digital communication on our lives by stating, “we construct the technology, but the technology also constructs us. We become what technology allows us to become” (Schultze 2015). This concept highlights how our reliance on digital media for interaction has led to a transformation in how we express ourselves and relate to others.

The influence of social media has been profound in shaping our communication patterns and interpersonal dynamics. Research conducted by Kalpathy Subramanian (2017) examined the influence of social media on interpersonal communication, highlighting the changes it brings to the way we interact and express ourselves (Subramanian 2017). The study found that online communication often involves the use of abbreviations, emoticons, and hashtags, which have become embedded in our online discourse. These digital communication shortcuts prioritize speed and efficiency, but they also contribute to a shift away from the physical action of face-to-face conversation, where nonverbal cues and deeper emotional connections can be fostered.

Additionally, the study emphasizes the impact of social media on self-presentation and identity construction. With the rise of platforms like Facebook, Instagram, and Twitter, individuals have a platform to curate and present themselves to the world. This online self-presentation can influence how we perceive ourselves and how others perceive us, potentially shaping our identities in the process. The study further suggests that the emphasis on self-presentation and the pressure to maintain a certain image on social media can lead to increased stress and anxiety among users.

Interviews:

I conducted interviews with individuals from different age groups to gain diverse perspectives on how technology and social media have transformed the way we connect with others. By exploring the experiences of a 21-year-old student and an individual in their 40s, we can better understand the evolving dynamics of interpersonal communication in the digital age. These interviews shed light on the prevalence of digital communication among younger generations, their preference for convenience, and the concerns raised by individuals from older age groups regarding the potential loss of deeper emotional connections.

When I asked the 21-year-old classmate about how technology has changed the way they interact with people in person, they expressed, “To be honest, I spend more time texting, messaging, or posting on social media than actually talking face-to-face with others. It’s just so much more convenient.” This response highlights the prevalence of digital communication among younger generations and their preference for convenience over traditional face-to-face interactions. It suggests that technology has significantly transformed the way young people engage with others, with a greater reliance on virtual interactions rather than in-person conversations. Additionally, the mention of convenience as a driving factor raises questions about the potential trade-offs in terms of depth and quality of interpersonal connections.

To gain insight from an individual in their 40s, I conducted another interview. When asked about their experiences with technology and social media, they shared valuable perspectives. They mentioned that while they appreciate the convenience and accessibility offered by technology, they also expressed concerns about its impact on interpersonal connections. They emphasized the importance of face-to-face interactions in building genuine relationships and expressed reservations about the potential loss of deeper emotional connections in digital communication. Additionally, they discussed the challenges of adapting to rapid technological advancements and the potential generational divide in communication preferences.

Comparing the responses from both interviews, it is evident that there are generational differences in the perception and use of technology for communication. While the 21-year-old classmate emphasized convenience as a primary factor in favor of digital communication, the individual in their 40s highlighted the importance of face-to-face interactions and expressed concerns about the potential loss of meaningful connections in the digital realm. This comparison raises questions about the potential impact of technology on the depth and quality of interpersonal relationships across different age groups. It also invites further exploration into how societal norms and technological advancements shape individuals’ preferences and experiences.

Overall, the interviews revealed a shift towards digital communication among both younger and older individuals, with varying perspectives. While convenience and connectivity are valued, concerns were raised regarding the potential drawbacks, including the pressure to maintain an idealized online presence and the potential loss of genuine connections. It is evident that technology and social media have transformed the way we communicate and interact with others, but the interviews also highlighted the importance of maintaining a balance and recognizing the value of face-to-face interactions in fostering meaningful relationships.

I have recently conducted a survey with my classmates to gather insights on how technology and social media have influenced communication and interaction among students in their daily lives. Although the number of responses is relatively small, the collected data allows us to gain a glimpse into individual experiences and perspectives on this matter.

One of the questions asked in the survey was how often students rely on digital communication methods, such as texting, messaging, or social media, in comparison to engaging in face-to-face conversations. The responses indicated a clear trend towards increased reliance on digital communication, with 85% of participants stating that they frequently use digital platforms as their primary means of communication. This suggests a significant shift away from traditional face-to-face interactions, highlighting the pervasive influence of technology in shaping our communication habits.

Furthermore, the survey explored changes in the quality of interactions and relationships due to the increased use of technology and social media. Interestingly, 63% of respondents reported that they had noticed a decrease in the depth and intimacy of their connections since incorporating more digital communication into their lives. Many participants expressed concerns about the difficulty of conveying emotions effectively through digital channels and the lack of non-verbal cues that are present in face-to-face interactions. It is important to note that while the survey results provide valuable insights into individual experiences, they are not representative of the entire student population. The small sample size limits the generalizability of the findings. However, the data collected does shed light on the potential impact of technology and social media on communication and interaction patterns among students.

Expanding on the topic, I found an insightful figure from Business Insider that sheds light on how people utilize their smartphones (Business Insider). Figure 2. illustrates the average smartphone owner’s daily time spent on various activities. Notably, communication activities such as texting, talking, and social networking account for a significant portion, comprising 59% of phone usage. This data reinforces the impact of digital communication on our daily lives, indicating the substantial role it plays in shaping our interactions with others. Upon comparing this research with the data, I have gathered, a clear trend emerges, highlighting that an increasing number of individuals primarily utilize their smartphones for communication and interaction purposes.

Figure 2: The breakdown of daily smartphone usage among average users clearly demonstrates that the phone is primarily used for interactions.

The Digital Make Over:

In today’s digital age, the impact of technology on communication and interaction is evident, particularly in educational settings. As a college student, I have witnessed the transformation firsthand, especially with the onset of the COVID-19 pandemic. The convenience of online submissions for assignments has led to a growing trend of students opting to skip physical classes, relying on the ability to submit their work remotely. Unfortunately, this shift has resulted in a decline in face-to-face interactions and communication among classmates and instructors.

The decrease in physical attendance raises concerns about the potential consequences for both learning and social connections within the academic community. Classroom discussions, collaborative projects, and networking opportunities are often fostered through in-person interactions. By limiting these experiences, students may miss out on valuable learning moments, diverse perspectives, and the chance to establish meaningful connections with their peers and instructors.

Simon Lindgren, in his thought-provoking Ted Talk , “Media Are Not Social, but People Are,” delves deeper into the effects of technology and social media on our interactions. Lindgren highlights a significant point by suggesting that while technology may have the potential to make us better individuals, we must also recognize its potential pitfalls. Social media, for instance, can create filter bubbles that limit our exposure to diverse viewpoints, making us less in touch with reality and more narrow-minded. This cautionary reminder emphasizes the need to approach social media thoughtfully, seeking out diverse perspectives and avoiding the pitfalls of echo chambers. Furthermore, it is crucial to strike a balance between utilizing technology for educational purposes and embracing the benefits of in-person interactions. While technology undoubtedly facilitates certain aspects of education, such as online learning platforms and digital resources, we must not overlook the importance of face-to-face communication. In-person interactions allow for nuanced non-verbal cues, deeper emotional connections, and real-time engagement that contribute to a more comprehensive learning experience.

A study conducted by Times Higher Education delved into this topic, providing valuable insights. Figure 3. from the study illustrates a significant drop in attendance levels after the pandemic’s onset. Undeniably, technology played a crucial role in facilitating the transition to online learning. However, it is important to acknowledge that this shift has also led to a decline in face-to-face interactions, which have long been regarded as essential for effective communication and relationship-building. While technology continues to evolve and reshape the educational landscape, it is imperative that we remain mindful of its impact on communication and interaction. Striking a balance between digital tools and in-person engagement can help ensure that we leverage the benefits of technology while preserving the richness of face-to-face interactions. By doing so, we can foster a holistic educational experience that encompasses the best of both worlds and cultivates meaningful connections among students, instructors, and the academic community.

University class attendance plummets post-Covid | Times Higher Education (THE)

Figure 3: This graph offers convincing proof that the COVID-19 pandemic and the extensive use of online submission techniques are to blame for the sharp reduction in in-person student attendance.

When asked about the impact of online submissions for assignments on physical attendance in classes, the survey revealed mixed responses. While 73% of participants admitted that the convenience of online submissions has led them to skip classes occasionally, 27% emphasized the importance of in-person attendance for better learning outcomes and social interactions. This finding suggests that while technology offers convenience, it also poses challenges in maintaining regular face-to-face interactions, potentially hindering educational and social development, and especially damaging the way we communicate and interact with one another. Students are doing this from a young age, and it comes into huge effect once they are trying to enter the work force and interact with others. When examining the survey data alongside the findings from Times Higher Education, striking similarities become apparent regarding how students approach attending classes in person with the overall conclusion being a massive decrease in students attending class which hinders the chance for real life interaction and communication. the convenience and instant gratification provided by technology can create a sense of detachment and impatience in interpersonal interactions. Online platforms allow for quick and immediate responses, and individuals can easily disconnect or switch between conversations. This can result in a lack of attentiveness and reduced focus on the person with whom one is communicating, leading to a superficial engagement that may hinder the establishment of genuine connections.

Conclusion:

Ultimately, the digital revolution has profoundly transformed the way we communicate and interact with one another. The COVID-19 pandemic has accelerated this transformation, leading to increased reliance on digital tools for socializing, working, and learning. While technology offers convenience and connectivity, it also introduces limitations and potential drawbacks. The shift towards digital communication raises concerns about the depth and quality of our connections, as well as the potential loss of face-to-face interactions. However, it is essential to strike a balance between digital and in-person engagement, recognizing the unique value of physical presence, non-verbal cues, and deeper emotional connections that face-to-face interactions provide. By navigating the digital landscape with mindfulness and intentionality, we can harness the transformative power of technology while preserving and nurturing the essential elements of human connection.

Moving forward, it is crucial to consider the impact of technology on our relationships, mental well-being, and society. As technology continues to evolve, we must be cautious of its potential pitfalls, such as the emphasis on self-presentation, the potential for increased stress and anxiety, and the risk of forgetting how to interact in person. Striking a balance between digital and face-to-face interactions can help ensure that technology enhances, rather than replaces, genuine human connections. By prioritizing meaningful engagement, valuing personal interactions, and leveraging the benefits of technology without compromising the depth and quality of our relationships, we can navigate the digital revolution in a way that enriches our lives and fosters authentic connections.

References:

Ballve, M. (2013, June 5). How much time do we really spend on our smartphones every day? Business Insider. Retrieved April 27, 2023. https://www.businessinsider.com/how-much-time-do-we-spend-on-smartphones-2013-6

Baym, N. (2015). Personal Connections in the Digital Age (2nd ed.). Polity.

Karunaratne, Indika & Atukorale, Ajantha & Perera, Hemamali. (2011). Surveillance of human- computer interactions: A way forward to detection of users’ Psychological Distress. 2011 IEEE Colloquium on Humanities, Science and Engineering, CHUSER 2011. 10.1109/CHUSER.2011.6163779. https://www.researchgate.net/figure/Social-interaction-vs-electronic-media-use-Hours-per-day-of-face-to-face-social_fig1_254056654

Lindgren, S. (2015, May 20). Media are not social, but people are | Simon Lindgren | TEDxUmeå . YouTube. Retrieved April 27, 2023, from https://www.youtube.com/watch?v=nQ5S7VIWE6k

Ross, J., McKie, A., Havergal, C., Lem, P., & Basken, P. (2022, October 24). Class attendance plummets post-Covid . Times Higher Education (THE). Retrieved April 27, 2023, from https://www.timeshighereducation.com/news/class-attendance-plummets-post-covid

Schultze, U. (2015, April 23). How social media shapes identity | Ulrike Schultze | TEDxSMU . YouTube. Retrieved April 27, 2023, from https://www.youtube.com/watch?v=CSpyZor-Byk

Subramanian, Dr. K .R. “Influence of Social Media in Interpersonal Communication – Researchgate.” ResearchGate.Net , www.researchgate.net/profile/Kalpathy-Subramanian/publication/319422885_Influence_of_Social_Media_in_Interpersonal_Communication/links/59a96d950f7e9b2790120fea/Influence-of-Social-Media-in-Interpersonal-Communication.pdf. Accessed 12 May 2023 .

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Essay on Evolution Of Technology

Students are often asked to write an essay on Evolution Of Technology in their schools and colleges. And if you’re also looking for the same, we have created 100-word, 250-word, and 500-word essays on the topic.

Let’s take a look…

100 Words Essay on Evolution Of Technology

The start of technology.

Long ago, humans made tools from stone and sticks. These simple tools helped them survive. Over time, they learned to use metals, leading to stronger tools and weapons. This was the beginning of technology, the use of knowledge to make practical things.

From Steam to Electricity

Years later, the steam engine was invented. It powered trains and factories, changing how people worked and traveled. Then, electricity was discovered. It brought light to homes and power to machines, making life easier and work faster.

Computers and the Internet

In the 20th century, computers were created. They could solve problems quickly. Later, the internet connected computers worldwide. This allowed people to share information and communicate instantly, no matter where they were.

Smart Technology

Now, we have smart technology. Phones, watches, and homes that can think and learn. They make decisions and perform tasks. This technology is always getting better, helping us in new and exciting ways every day.

Looking Ahead

Technology keeps changing. What’s next could be more amazing than we can imagine. Maybe robots that are friends or cars that fly. The future of technology is bright and full of possibilities.

250 Words Essay on Evolution Of Technology

What is technology evolution.

Technology evolution is the way in which technology changes and improves over time. Just like a seed grows into a tree, technology starts simple and becomes more complex. This growth helps us do things better, faster, and more easily.

The Early Days

Long ago, people made tools from stone and wood. These were the first pieces of technology. Over time, they learned to use metals, leading to new tools and machines. The wheel, for example, was a big step. It allowed people to move heavy things and travel long distances.

Hundreds of years later, the steam engine was invented. This was a big deal because it powered trains and factories, kicking off what we call the Industrial Revolution. After that, electricity was harnessed, lighting up our homes and powering all sorts of devices.

The next big leap was computers. At first, they were huge and used only by scientists. But they got smaller and stronger. Now, we have them in our homes, schools, and even in our pockets. The internet came next, connecting computers all over the world. This let people share information and talk to each other from far away.

Looking to the Future

Today, technology keeps changing fast. We have robots, smartwatches, and cars that can drive themselves. Every day, scientists and engineers work on new ideas to make life even better. The journey of technology is never-ending, and it’s exciting to think about what will come next.

500 Words Essay on Evolution Of Technology

What is technology.

Technology is the use of scientific knowledge to solve problems and make things easier or better for people. It includes tools, machines, and ways of doing things. From the first wheel to the latest smartphone, technology has been changing and getting better over time.

Early Technology

Long ago, people made tools from stone, wood, and bone. These were the first technologies. They helped people to hunt, cook, and build. Then, humans learned to use metals, leading to stronger tools and weapons. This was a big step forward.

The Industrial Revolution

A major change in technology came with the Industrial Revolution, which started in the 18th century. Machines were invented that could do the work of many people. Steam engines and factories changed the way things were made and how people worked and lived. Trains and telegraphs made travel and communication much faster.

In the 20th century, computers were invented. At first, they were very big and only used by businesses and governments. But they got smaller and more powerful. Personal computers entered homes, and the internet connected people across the world. This was a huge leap in technology.

Mobile Devices and Smart Tech

Now, most people have a smartphone. These are small computers that you can carry in your pocket. They let you talk to people, find information, take pictures, and do lots of other things. Smart technology also now includes watches, home devices, and even cars that can connect to the internet.

Technology in Everyday Life

Technology is part of everyday life. We use it to learn, work, play, and talk to each other. It makes many tasks easier and quicker to do. Without technology, life would be very different and much harder in many ways.

Technology will keep on changing. New inventions will come that we can’t even imagine now. These will solve problems we have today and will make life even easier and better in the future.

In conclusion, technology has come a long way from simple stone tools to complex computers and networks. It has changed the way we live and work. As technology keeps evolving, it will continue to shape our world and the way we live our lives.

That’s it! I hope the essay helped you.

If you’re looking for more, here are essays on other interesting topics:

Essay on Evolution Of Media
Essay on Evolution Of Man
Essay on Evolution Of Communication

Apart from these, you can look at all the essays by clicking here .

Happy studying!

Computer Technology: Evolution and Developments Essay

The development of computer technology is characterized by the change in the technology used in building the devices. The evolution of computer technology is divided into several generations, from mechanical devices, followed by analog devices, to the recent digital computers that now dominate the world. This paper examines the evolution of computers and their technology, their use in the early and modern periods, their merits and demerits, and future developments.

Evolution of Computers and their Technology

Mechanical age (1800s -1920s).

The development of the computer characterized this period to facilitate mathematical calculations that could not be done manually by individuals. The first notable computing device was the “analytical engine” designed by Charles Babbage in 1834, which used electromechanical relays to function (Zakari 1). The mechanical era saw improvements made to the first design by Babbage until the first generation era.

First Generation (the 1930s-1950s)

The first generation era is characterized by the development of three electronic computers that used vacuum tubes, unlike the previous devices that used electromechanical relays to perform their tasks (Enzo 4). In this period, the machines were capable of storing data in the form of instructions written manually by the programmers and installed into the device (Zakari 1). The devices developed in this period were primarily used in applied science and engineering to facilitate solving evaluations.

Second Generation (Mid-1950s-Early 1960s)

The second-generation period saw the development of many design areas; there was development in the technology used and the programming language used to write the commands. Unlike in the previous generations, the operations in this era were performed in the hardware (McAfee 141). The period saw the development of the index registers used for numerous operations.

Third Generation (the Early 1960s – Early1970s)

The era saw improvement in the technology used in designing the devices; integrated circuits in computer devices were introduced. The period saw the introduction of the microprogramming technique and the development of the operation system (Zakari, 1). The speed of functioning of the devices designed in this period was faster than in the previous eras, and the computers could perform more functions.

Fourth Generation (The early 1970s – Mid 1980s)

This Generation saw the development in the use of large-scale integration in the computers developed. The size of the microchips was the information for the computers was stored was reduced to allow for data to be stored in the same microchip (Zakari 1). The devices were installed with semiconductors memories to replace the core memories of the previous era. The processors were designed with high speed to allow faster processing speed of operations in the devices (McAfee 141).

Fifth Generation (the Mid 1980s- Early 1990s)

The machines/ devices designed had many processors that worked simultaneously on a single program (Zakari1). The semiconductors in the computers were improved to increase the scale of operation with the development of chips (Enzo 2). In this period, the computer devices developed were capable of performing parallel processing of commands. Which improved their functionality?

Sixth Generation (1990 to Date)

The era is characterized by improvements in all the areas of designing computers. There is a reduction in the size of the devices developed with increased portability of the machines. The era has seen the development of computers to interact more with people and facilitate human functions in society, with an increase in connection due to improved network development linking computers (Zachari 1).

Uses of Computers

The early computers were mainly used to accomplish mathematical functions in applied science and engineering. These machines were primarily used to solve mathematical calculation problems (Zakari 1). The second-generation devices improved on their functionality and were capable of processing information stored in them by the programmer (Zakari 1). Today, individuals use computers to perform various functions, including facilitating communication, storing data, and processing information for individuals. The use of computer technology is now in every section of the world; people in different areas are using computers to perform numerous functions (McAfee 141). The technology is directly applied in agriculture, health and medicine, education and transport, communication, and other regions.

Advantages of Computers and their Technology

Computer technology has enabled the development of devices like mobile phones that are easy to use and effective, allowing individuals to keep in contact with one another even when at different locations (Golosova and Romanovs 3). Computer technology has improved manufacturing; producing goods is now better and more efficient due to the development of technology that enhances individuals’ performance. Computer technology enhances the development of better healthcare operations by facilitating functions in health. Computer technology also enhances learning as individuals can get the required learning material (Golosova and Romanovs 6). Computers and computer technology improve teacher-student interaction during education by providing a medium that can facilitate lessons.

Disadvantages of Computers and Computer Technology

Computers are hazardous to human health; when used excessively, individuals suffer from health issues like eye problems resulting from extreme exposure to the screen light. Also, sitting for an extended period affects an individual’s health (Golosova and Romanovs 14). Computers and computer technology are artificial, making them susceptible to human manipulation; humans are exposed to risks from those that can harm them by manipulating information (Suma 133). Computers also impact the environment negatively due to the carbon footprint left in the environment when they become obsolete because people can no longer use them.

Trends in Computer Technology

There is an expected increase in the use of artificial intelligence among people with increased developments in computers and their technology (McAfee 141). Computer technology is expected to increase the automation of processes and functci0ons previously done by humans in society. Computer technology is expected to increase the virtual reality and augmented reality among individuals in society to improve the human experience.

Works Cited

Enzo, Albert, Charles O. Connors, and Walter Curtis. “The Evolution of Computer Science.” Computer Science, Murdoch University, Australia. Web.

McAfee, Andrew. “Mastering the Three Worlds of Information Technology.” Harvard Business Review. vol. 84, no. 11, 2006, p. 141. Web.

Suma. V. “Computer Vision for Humans-machines Interaction-review.” Journal of Trends in Computer Science and Smart Technology ( TCSST ), vol. 1, no. 2, 2019, pp. 131-139. Web.

Golosova, Julija, and Andrejs Romanovs. “The Advantages and Disadvantages of the Blockchain Technology.” 2018 IEEE 6th Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE) . Web.

Zakari, Ishaq “History of Computers and its Generations.” Umaru Musa Yar’adua University, Katsina State (2019). Web.

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From the world wide web to AI: 11 technology milestones that changed our lives

The world wide web is a key technological milestone in the past 40 years. Image: Unsplash/Ales Nesetril

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Stay up to date:, emerging technologies.

It’s been 40 years since the launch of the Apple Macintosh personal computer.
Since then, technological innovation has accelerated – here are some of the most notable tech milestones over the past four decades.
The World Economic Forum’s EDISON Alliance aims to digitally connect 1 billion people to essential services like healthcare, education and finance by 2025.

On 24 January 1984, Apple unveiled the Macintosh 128K and changed the face of personal computers forever.

Steve Jobs’ compact, user-friendly computer introduced the graphical user interface to the world, marking a pivotal moment in the evolution of personal technology.

Since that day, the rate of technological innovation has exploded, with developments in computing, communication, connectivity and machine learning expanding at an astonishing rate.

Here are some of the key technological milestones that have changed our lives over the past 40 years.

Have you read?

9 ways ai is helping tackle climate change, driving trust: paving the road for autonomous vehicles, these are the top 10 emerging technologies of 2023: here's how they can impact the world, 1993: the world wide web.

Although the internet’s official birthday is often debated, it was the invention of the world wide web that drove the democratization of information access and shaped the modern internet we use today.

Created by British scientist Tim Berners-Lee, the World Wide Web was launched to the public in 1993 and brought with it the dawn of online communication, e-commerce and the beginning of the digital economy.

Despite the enormous progress since its invention, 2.6 billion people still lack internet access and global digital inclusion is considered a priority. The World Economic Forum’s EDISON Alliance aims to bridge this gap and digitally connect 1 billion people to essential services like healthcare, education and finance by 2025.

1997: Wi-Fi

The emergence of publicly available Wi-Fi in 1997 changed the face of internet access – removing the need to tether to a network via a cable. Without Wi-Fi, the smartphone and the ever-present internet connection we’ve come to rely on, wouldn’t have been possible, and it has become an indispensable part of our modern, connected world.

1998: Google

The launch of Google’s search engine in 1998 marked the beginning of efficient web search, transforming how people across the globe accessed and navigated online information . Today, there are many others to choose from – Bing, Yahoo!, Baidu – but Google remains the world’s most-used search engine.

2004: Social media

Over the past two decades, the rise of social media and social networking has dominated our connected lives. In 2004, MySpace became the first social media site to reach one million monthly active users. Since then, platforms like Facebook, Instagram and TikTok have reshaped communication and social interaction , nurturing global connectivity and information sharing on an enormous scale, albeit not without controversy .

Most popular social networks worldwide as of January 2024, ranked by number of monthly active users

2007: The iPhone

More than a decade after the first smartphone had been introduced, the iPhone redefined mobile technology by combining a phone, music player, camera and internet communicator in one sleek device. It set new standards for smartphones and ultimately accelerated the explosion of smartphone usage we see across the planet today.

2009: Bitcoin

The foundations for modern digital payments were laid in the late 1950s with the introduction of the first credit and debit cards, but it was the invention of Bitcoin in 2009 that set the stage for a new era of secure digital transactions. The first decentralized cryptocurrency, Bitcoin introduced a new form of digital payment system that operates independently of traditional banking systems. Its underlying technology, blockchain, revolutionized the concept of digital transactions by providing a secure, transparent, and decentralized method for peer-to-peer payments. Bitcoin has not only influenced the development of other cryptocurrencies but has also sparked discussions about the future of money in the digital age.

2014: Virtual reality

2014 was a pivotal year in the development of virtual reality (VR) for commercial applications. Facebook acquired the Oculus VR company for $2 billion and kickstarted a drive for high-quality VR experiences to be made accessible to consumers. Samsung and Sony also announced VR products, and Google released the now discontinued Cardboard – a low-cost, do-it-yourself viewer for smartphones. The first batch of Oculus Rift headsets began shipping to consumers in 2016.

2015: Autonomous vehicles

Autonomous vehicles have gone from science fiction to science fact in the past two decades, and predictions suggest that almost two-thirds of registered passenger cars worldwide will feature partly-assisted driving and steering by 2025 . In 2015, the introduction of Tesla’s Autopilot brought autonomous features to consumer vehicles, contributing to the mainstream adoption of self-driving technology.

Cars Increasingly Ready for Autonomous Driving

2019: Quantum computing

A significant moment in the history of quantum computing was achieved in October 2019 when Google’s Sycamore processor demonstrated “quantum supremacy” by solving a complex problem faster than the world’s most powerful supercomputers. Quantum technologies can be used in a variety of applications and offer transformative impacts across industries. The World Economic Forum’s Quantum Economy Blueprint provides a framework for value-led, democratic access to quantum resources to help ensure an equitable global distribution and avoid a quantum divide.

2020: The COVID-19 pandemic

The COVID-19 pandemic accelerated digital transformation on an unprecedented scale . With almost every aspect of human life impacted by the spread of the virus – from communicating with loved ones to how and where we work – the rate of innovation and uptake of technology across the globe emphasized the importance of remote work, video conferencing, telemedicine and e-commerce in our daily lives.

In response to the uncertainties surrounding generative AI and the need for robust AI governance frameworks to ensure responsible and beneficial outcomes for all, the Forum’s Centre for the Fourth Industrial Revolution (C4IR) has launched the AI Governance Alliance .

The Alliance will unite industry leaders, governments, academic institutions, and civil society organizations to champion responsible global design and release of transparent and inclusive AI systems.

2022: Artificial intelligence

Artificial intelligence (AI) technology has been around for some time and AI-powered consumer electronics, from smart home devices to personalized assistants, have become commonplace. However, the emergence of mainstream applications of generative AI has dominated the sector in recent years.

In 2022, OpenAI unveiled its chatbot, ChatGPT. Within a week, it had gained over one million users and become the fastest-growing consumer app in history . In the same year, DALL-E 2, a text-to-image generative AI tool, also launched.

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A.I.’s Black Boxes Just Got a Little Less Mysterious

Researchers at the A.I. company Anthropic claim to have found clues about the inner workings of large language models, possibly helping to prevent their misuse and to curb their potential threats.

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A woman works into an office with the name Anthropic on a glass door.

By Kevin Roose

Reporting from San Francisco

One of the weirder, more unnerving things about today’s leading artificial intelligence systems is that nobody — not even the people who build them — really knows how the systems work.

That’s because large language models, the type of A.I. systems that power ChatGPT and other popular chatbots, are not programmed line by line by human engineers, as conventional computer programs are.

Instead, these systems essentially learn on their own, by ingesting vast amounts of data and identifying patterns and relationships in language, then using that knowledge to predict the next words in a sequence.

One consequence of building A.I. systems this way is that it’s difficult to reverse-engineer them or to fix problems by identifying specific bugs in the code. Right now, if a user types “Which American city has the best food?” and a chatbot responds with “Tokyo,” there’s no real way of understanding why the model made that error, or why the next person who asks may receive a different answer.

And when large language models do misbehave or go off the rails, nobody can really explain why. (I encountered this problem last year when a Bing chatbot acted in an unhinged way during an interaction with me. Not even top executives at Microsoft could tell me with any certainty what had gone wrong.)

The inscrutability of large language models is not just an annoyance but a major reason some researchers fear that powerful A.I. systems could eventually become a threat to humanity.

After all, if we can’t understand what’s happening inside these models, how will we know if they can be used to create novel bioweapons, spread political propaganda or write malicious computer code for cyberattacks? If powerful A.I. systems start to disobey or deceive us, how can we stop them if we can’t understand what’s causing that behavior in the first place?

To address these problems, a small subfield of A.I. research known as “mechanistic interpretability” has spent years trying to peer inside the guts of A.I. language models. The work has been slow going, and progress has been incremental.

There has also been growing resistance to the idea that A.I. systems pose much risk at all. Last week, two senior safety researchers at OpenAI, the maker of ChatGPT, left the company amid conflict with executives about whether the company was doing enough to make its products safe.

But this week, a team of researchers at the A.I. company Anthropic announced what they called a major breakthrough — one they hope will give us the ability to understand more about how A.I. language models actually work, and to possibly prevent them from becoming harmful.

The team summarized its findings in a blog post called “ Mapping the Mind of a Large Language Model .”

The researchers looked inside one of Anthropic’s A.I. models — Claude 3 Sonnet, a version of the company’s Claude 3 language model — and used a technique known as “dictionary learning” to uncover patterns in how combinations of neurons, the mathematical units inside the A.I. model, were activated when Claude was prompted to talk about certain topics. They identified roughly 10 million of these patterns, which they call “features.”

They found that one feature, for example, was active whenever Claude was asked to talk about San Francisco. Other features were active whenever topics like immunology or specific scientific terms, such as the chemical element lithium, were mentioned. And some features were linked to more abstract concepts, like deception or gender bias.

They also found that manually turning certain features on or off could change how the A.I. system behaved, or could get the system to even break its own rules.

For example, they discovered that if they forced a feature linked to the concept of sycophancy to activate more strongly, Claude would respond with flowery, over-the-top praise for the user, including in situations where flattery was inappropriate.

Chris Olah, who led the Anthropic interpretability research team, said in an interview that these findings could allow A.I. companies to control their models more effectively.

“We’re discovering features that may shed light on concerns about bias, safety risks and autonomy,” he said. “I’m feeling really excited that we might be able to turn these controversial questions that people argue about into things we can actually have more productive discourse on.”

Other researchers have found similar phenomena in small- and medium-size language models. But Anthropic’s team is among the first to apply these techniques to a full-size model.

Jacob Andreas, an associate professor of computer science at M.I.T., who reviewed a summary of Anthropic’s research, characterized it as a hopeful sign that large-scale interpretability might be possible.

“In the same way that understanding basic things about how people work has helped us cure diseases, understanding how these models work will both let us recognize when things are about to go wrong and let us build better tools for controlling them,” he said.

Mr. Olah, the Anthropic research leader, cautioned that while the new findings represented important progress, A.I. interpretability was still far from a solved problem.

For starters, he said, the largest A.I. models most likely contain billions of features representing distinct concepts — many more than the 10 million or so features that Anthropic’s team claims to have discovered. Finding them all would require enormous amounts of computing power and would be too costly for all but the richest A.I. companies to attempt.

Even if researchers were to identify every feature in a large A.I. model, they would still need more information to understand the full inner workings of the model. There is also no guarantee that A.I. companies would act to make their systems safer.

Still, Mr. Olah said, even prying open these A.I. black boxes a little bit could allow companies, regulators and the general public to feel more confident that these systems can be controlled.

“There are lots of other challenges ahead of us, but the thing that seemed scariest no longer seems like a roadblock,” he said.

Kevin Roose is a Times technology columnist and a host of the podcast " Hard Fork ." More about Kevin Roose

Explore Our Coverage of Artificial Intelligence

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The Silicon Valley company Nvidia was again lifted by sales of its A.I. chips , but it faces growing competition and heightened expectations.

Researchers at the A.I. company Anthropic claim to have found clues about the inner workings of large language models, possibly helping to prevent their misuse and to curb their potential threats.

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The Intriguing Evolution of Supercavitating Torpedo Technology

Posted: May 25, 2024 | Last updated: May 25, 2024

The emergence of supercavitating Torpedoes represents a significant breakthrough in naval warfare technology.

<p>These advanced torpedoes, leveraging the physics of supercavitation to attain unprecedented speeds, have been developed and claimed by several nations, notably Russia and Iran.</p>

These advanced torpedoes, leveraging the physics of supercavitation to attain unprecedented speeds, have been developed and claimed by several nations, notably Russia and Iran.

<p>This technological leap introduces new challenges in maneuverability and depth control while potentially shifting the dynamics of naval conflicts across the globe.</p>

This technological leap introduces new challenges in maneuverability and depth control while potentially shifting the dynamics of naval conflicts across the globe.

<p>First developed by the Soviet Navy during the Cold War, supercavitating torpedoes such as Russia's VA-111 Shkval have fascinated military engineers for decades.</p>

First developed by the Soviet Navy during the Cold War, supercavitating torpedoes such as Russia's VA-111 Shkval have fascinated military engineers for decades.

Due to their extraordinary submerged speeds, achieved through the manipulation of a cavitation bubble that significantly reduces drag.

<p>The VA-111 Shkval, which uses rocket propulsion and a gas-generating system to create and maintain the supercavitation effect, can reach speeds of up to 230 miles per hour.</p>

The VA-111 Shkval, which uses rocket propulsion and a gas-generating system to create and maintain the supercavitation effect, can reach speeds of up to 230 miles per hour.

Reports suggest developments may push future models beyond 350mph.

Despite their remarkable capabilities, supercavitating torpedoes do have their limitations.

<p>For example, their operational range remains significantly shorter than that of conventional torpedoes like the American Mark-48, which can travel as far as 24 miles.</p>

For example, their operational range remains significantly shorter than that of conventional torpedoes like the American Mark-48, which can travel as far as 24 miles.

Conversely, the VA-111 and other supercavitating models are generally limited to under 10 miles.

<p>With the 2023 announcement of a potential $91.9 million contract for the Lockheed Martin Corporation to build and repair components for the U.S. Navy’s MK 48 heavyweight torpedo, the focus on torpedo technology is more relevant than ever.</p>

With the 2023 announcement of a potential $91.9 million contract for the Lockheed Martin Corporation to build and repair components for the U.S. Navy’s MK 48 heavyweight torpedo, the focus on torpedo technology is more relevant than ever.

The MK 48, while not supercavitating, is a well-established and critical component of the U.S. Navy’s underwater arsenal.

<p>Its design allows for deep water operation and the latest versions, such as the MK 48 Mod 7 Common Broadband Advanced Sonar System (CBASS), are equipped with broadband sonar enhancements to counter the acoustic challenges presented by advanced enemy submarines.</p>

Its design allows for deep water operation and the latest versions, such as the MK 48 Mod 7 Common Broadband Advanced Sonar System (CBASS), are equipped with broadband sonar enhancements to counter the acoustic challenges presented by advanced enemy submarines.

While the U.S. continues to advance its torpedo capabilities, including sophisticated sonar systems and countermeasure technologies.V

<p>Supercavitating models such as Russia’s VA-111 Shkval and Iran’s Hoot, which is believed to be based on reverse-engineered VA-111 technology, pose a considerable threat due to their stealth and speed.</p> <p><b>Relevant articles: </b><br>- <a href="https://www.militaryaerospace.com/sensors/article/14290740/torpedo-submarine-sonar#:~:text=The%20much%2Dupgraded%20MK%2048,wires%20attached%20to%20the%20torpedo.">Lockheed Martin to maintain and upgrade Navy MK 48 sonar-equipped submarine-launched heavyweight torpedo</a>, militaryaerospace.com<br>- <a href="https://nationalinterest.org/blog/buzz/supercavitating-torpedoes-weapon-us-navy-doesnt-have-207559">Supercavitating Torpedoes: The Weapon the U.S. Navy Doesn't Have</a>, The National Interest, Nov 28, 2023<br>- <a href="https://www.naval-technology.com/features/featurethe-allure-of-supercavitating-torpedoes-5838643/">The allure of supercavitating torpedoes</a>, Naval Technology, Jun 19, 2017<br>- <a href="https://www.usni.org/magazines/proceedings/2022/may/autonomous-nuclear-torpedoes-usher-dangerous-future">Autonomous Nuclear Torpedoes Usher in a Dangerous Future</a>, U.S. Naval Institute</p>

Supercavitating models such as Russia’s VA-111 Shkval and Iran’s Hoot, which is believed to be based on reverse-engineered VA-111 technology, pose a considerable threat due to their stealth and speed.

Relevant articles: - Lockheed Martin to maintain and upgrade Navy MK 48 sonar-equipped submarine-launched heavyweight torpedo , militaryaerospace.com - Supercavitating Torpedoes: The Weapon the U.S. Navy Doesn't Have , The National Interest, Nov 28, 2023 - The allure of supercavitating torpedoes , Naval Technology, Jun 19, 2017 - Autonomous Nuclear Torpedoes Usher in a Dangerous Future , U.S. Naval Institute

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Mapping and comparing the technology evolution paths of scientific papers and patents: an integrated approach for forecasting technology trends

Published: 01 March 2024
Volume 129 , pages 1975–2005, ( 2024 )

Cite this article

Peng Liu 1 ,
Wei Zhou 1 ,
Lijie Feng 1 , 2 ,
Jinfeng Wang ORCID: orcid.org/0000-0002-3548-2674 2 ,
Kuo-Yi Lin 3 ,
Xuan Wu 1 &
Dingtang Zhang 4

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Exploring the key technology evolution paths in specific technological domains is essential to stimulate the technological innovation of enterprises. There have been many methods to identify the technology evolution path, but many of them still had some limitations. Firstly, many studies consider only a single type of data source without analyzing and comparing multiple data sources, which may lead to incomplete evolution paths. Secondly, the text mining methods ignore the semantic relationships between technical terms, making path tracing inaccurate. In this study, we develop an integrated approach for mapping the technology evolution paths of scientific papers and patents. To better forecast the technology development trends, the gap analysis between scientific papers and patents and the identification of potential topics are also applied. The all-solid-state lithium-ion battery technology is selected for the empirical study and the related technology evolution trends and the technology opportunities are focused on. The empirical case research results show the proposed method’s validity and feasibility. This method can be helpful for understanding and analyzing the specific technology, which provides clues for forecasting technology development trends in enterprises. Furthermore, it contributes to the coordination of research and development efforts, which provides a reference for enterprises to identify technology innovation opportunities.

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An integrated approach for detecting and quantifying the topic evolutions of patent technology: a case study on graphene field

Mapping the technology evolution path: a novel model for dynamic topic detection and tracking

Using Enhanced Patent Data for Future-Oriented Technology Analysis

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Acknowledgements

This research was supported by Henan Xing Culture Project Cultural Research Special Project (No. 2022XWH082); Henan Province universities key research project funding program(No.24A630033); Henan Province Soft Science Project supported by Department of Science and Technology of Henan Province; National Natural Science Foundation of China (No. 62173253).

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Peng Liu, Wei Zhou, Lijie Feng & Xuan Wu

China Institute of FTZ Supply Chain, Shanghai Maritime University, Shanghai, 201306, China

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Dingtang Zhang

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All authors contributed to the study conception and design. Related Work, refinement of the manuscript framework and post revision were completed by Lecturer Peng Liu. The first draft of the manuscript was written by Wei Zhou. Research methodology, and resources were performed by Prof. Lijie Feng. The supervision and funding acquisition were performed by Prof. Jinfeng Wang. The methodology and writing—review and Editing were written by Prof. Kuo-yi Lin. The algorithm design and optimization were completed by Xuan Wu. The Empirical data and results analysis were searched by Dingtang Zhang. All authors commented on previous versions of the manuscript and all authors read and approved the final manuscript.

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Liu, P., Zhou, W., Feng, L. et al. Mapping and comparing the technology evolution paths of scientific papers and patents: an integrated approach for forecasting technology trends. Scientometrics 129 , 1975–2005 (2024). https://doi.org/10.1007/s11192-024-04961-0

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