computer parts similar to the human body essay

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Computer Parts: Similar to the Human body

Has it ever crossed your mind the possibility of having your body compared to a machine? In this golden age of machinery and modernity, technical products such as mobile phones are being held dearly and being taken care of as if it was a new born baby. This new era of technology is creating a door for humanity to open and to explore almost every day. However, is it madness or beauty that we are going to discover if we put together the human body and parts of machinery?

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Background: The 'techno-human', which is the result of combining the human body with a machine or device which we have been made familiar with through science fiction movies, is frequently perceived as a distant and futuristic concept. However, when we examine history, we realize that the techno-human is not a phenomenon unique to the future or the present, but rather has a long and significant history dating all the way back to antiquity. Objective: This study aims to detail the progression of techno-humans from antiquity to the present, by focusing on the historical development of artificial limbs and organs. Methods: In this study, a literature review ranging from the earliest examples of the human body meeting technology to today's complex and functional artificial limb and organ technologies was conducted, and the information gathered through retrospective review of primary and secondary sources was evaluated. Results and Discussion: It is seen that people who lost their limbs as a result of amputation or disease have been using prostheses, albeit primitive, since ancient times. Today, advances in technology such as CAD/CAM and 3D printer technologies enable the production of prostheses from lighter materials and at a faster rate. Contrary to the long history of artificial limbs dating to antiquity, the development of artificial organs only began recently, during the 20th century. Artificial limbs and organs, with the use of more advanced technology, have the potential to be utilized for human enhancement in the future. Conclusion:While prostheses, implants, and complexly built artificial organs make the human body more technological and less biological, a new stage in the biography of the techno-human in which 'enhancement' rather than 'treatment' is at the forefront pushes the limits.

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Some posthumanists see the potential in forthcoming enhancement technologies to alter human beings so much that we would no longer recognize them as members of our species. One sort of enhancement technology are prosthetic devices that would replace or increase normal human functioning, for example computer chips implanted in the brain or robotic arms controlled with our minds. On account of neuroplasticity, our brains would gradually reconfigure themselves so that we may use the prosthesis as though it were biologically a part of us. And, if our bodily organs can be replaced by mechanical counterparts, then piece-by-piece, as our body ages and its malfunctioning parts are replaced, one might gradually become less a human and more a machine, and one with extraordinary non-human abilities. There are even developments in brain simulation that could allow a computer to handle the functioning of large parts of one’s brain, opening the possibility that one’s whole brain might be “uploaded” to continue performing its functions on a computer connected to a robotic body. If the process of body-part replacement were slow and gradual enough that our minds and bodies always have ample opportunity to adjust to the new prosthetic devices, is it not conceivable that we could make a complete and continuous transition from human to machine using these technologies? Andy Clark’s and David Chalmers’ “extended mind hypothesis” provides a theoretical account for our bodily and cognitive extension into external technologies, and Clark as well as therapeutic prosthetic researchers draw from Merleau-Ponty’s philosophy of the body to explain how such devices become a part of our body schemas. But, is Merleau-Ponty’s “organic” view of the body really the best theoretical framework to explain how our bodies are becoming more and more robotic? I will argue instead that Deleuze’s and Guattari’s “machinic” model is a more promising theoretical basis for the notion of posthuman enhancement and also for successful therapeutic prosthesis usage.

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Computer’s Body, Mind, and Soul: Which Parts?

Here are the body, mind, and soul of a computer.

Do you think there is such a thing as a computer mind?

Here’s the scoop.

Let’s get started!

• Computer’s Pros & Cons: Which?
• Heart and Brain of a Computer: Which Parts?

The Body, Mind, and Soul of a Computer

A computer is very much like a human body, and different parts can be compared quite easily.

Several referrals to the body and a computer are similar in the components that perform and control various tasks, and it can be laid out in a language that doesn’t need to be decoded.

Just as the human body comprises cells that make tissues that make organs that work as a system, they apply to a computer.

A computer is based on circuitry cells, working together to store, send, and receive information to and from other computers in much the same way. 

So when comparing a computer system to a human body , what exactly is the body, mind, and soul of a computer? 

The Body of the Computer

For argument’s sake, you can take this with a grain of salt, but the computer as a whole is akin to the human body.

Not one part of the human body can do everything on its own; there are signals from the brain to neurotransmitters that tell the muscles to move the joints, to think, to see; to do everything that a human does. 

The brain is a pretty powerful thing, arguably the most important part of a human, but without the muscles, the heart and lungs, kidneys, and all the other organs and innards, the brain would just be chilling on its own, with nothing to see but the four walls around it. 

What makes the body’s components so great is the body itself; the vessel that encapsulates all of the pieces in one place; the body. Without the bones and skin, the body would really be globes of dodgy organs and puddling goo. 

A computer’s body would be equally jumbled up if it didn’t have its hard outer casing and the computer screen to keep all things encapsulated.

And let’s not forget that you would see a lot of nothing if it wasn’t for the computer monitor .

How Does a Computer Monitor Work?

A computer monitor (or screen) is the visual output device attached to the computer tower.

Through it, you see pictures and images in real-time, which allows you to interact effectively with the computer or with others through it.

There are two main types of computer monitors, each with pros and cons. For example, a CRT monitor is cheaper, less space between colors, and more enduring.

The LCD monitor is much lighter and more compact, will be easier on your power bill, and most often has a higher resolution.

A laptop is another form of body for the computer to live in, with the added benefit of being portable.

In this newer, leaner body, the computer uses much less power than its counterpart the desktop model, and is smaller, requiring less energy to run. Since a laptop has a battery, you won’t need to worry about losing any information during a power outage, as the battery kicks in upon the power going out.

The hard drive, memory, and battery usually are the only components that can be upgraded with a laptop, so the other components are built-in, therefore, cannot be removed.

An upgrade that is needed in anything other than the memory, hard drive, and battery will commonly require a new laptop.

Cellular Phone

While a desktop computer or laptop is more powerful, smartphones have made it easy to incorporate office work and other technical tasks nearly everywhere we go.

Cell phones count as the body of a computer, wrapped up in a very convenient package. 

The big difference with cell phones is that they don’t have keyboards or touchpads. Instead, the whole screen is sensitive to touch.

Your cell phone is better in a way because you can do all of the same things with less bulk.

A smartphone is considered a computer in that any device that allows input from a user, interprets that information and provides output, is a computer.

What is the Mind of the Computer?

One could argue that the mind of the computer is the CPU (Central Processing Unit), RAM (Random-Access Memory), and hard drive.

The human mind contains all of the information you take daily, makes decisions (conscious), wanders, letting things float around (subconscious), and comes out in bizarre dreams. 

Our mind (or memory) is comparable to a computer in that information is stored for great lengths of time but in different ways. It’s safe to say that the computer has the advantage of retaining useful data and not garbling it in translation.

The thoughts and vague recollections of the human mind translate well to the computer CPU, RAM, and hard drive; here’s how:

Central Processing Unit

A central processing unit, or CPU, is in nearly all devices, whether a cell phone or computer, or a smartwatch. They have the task of processing and completing instructions, like your brain sends signals to your muscles to work. 

The CPU is the core of a computing device; a chip that is located in the circuit mainboard inside a device. It is not the memory or graphics card, it is a computer chip that is built by putting billions of microscopic transistors onto the one chip.

The transistors are so that the chip can make calculations in order to run programs that are stored in the system’s memory.

The CPU relies on the concept of interpreting binary signals (1’s and 0’s), and reading the instructions to create videos or spreadsheet data.

The transistors are becoming smaller and smaller as technology advances , but it doesn’t necessarily mean your computer will be any faster. 

What Does a CPU Really do?

In basic terms, a CPU interprets calculations for an application or program. This is broken down by the CPU fetching the instruction from the RAM, and decoding the instruction, then executing the instructions using pertinent parts of the CPU.

The completed instruction might involve arithmetic which compares numbers by putting them together or moving them around in the memory. Those tasks are what a CPU does, since everything a computing device does is represented by numbers; everything from a Windows program to a video online.

RAM (Random Access Memory)

RAM, otherwise known as random access memory (we’ll call this conscious thought), holds the files and instructions until they are forgotten. This lets the computer multitask like the brain’s conscious thought lets you do the same. 

More RAM means your computer (even the handheld smartphone type) can multitask quicker, and the computer will perform faster, much like your brain on a strong cup of coffee.

RAM is necessary for all devices, from game consoles to phones, because without it, everything would run at a snail’s pace, if at all.

You may notice that when a computer is running slow or a video game isn’t uploading quickly, or maybe a webpage is shown as loading for way too long; this all means that you need more RAM for things to run more smoothly.

So what exactly is RAM? 

It’s like a shot of espresso, or more technically, a high-speed component for your computer that stores information temporarily that a device needs for that moment.

When you access RAM data, it is much faster than through a hard drive, which tends to run like a broker on decaffeinated coffee; a lot slower.

The Hard Drive

The hard drive (let’s call this subconscious thought) stores all of our data and files long term, and separates it into various tasks, just like the mind saves long term memories and can recall specific pieces from our past. 

The hard drive doesn’t only save data and files. However, it saves every code required to run the operating system, the framework that the browsers use to access the internet, drivers for extras, and every other thing.

Whenever you want to retrieve a piece of information, no matter how long it’s been since you last retrieved it, it will be there waiting for you on the hard drive.

The difference between human memory and computer memory is that the computer is far more reliable.

Each hard drive only has so much space, some of which is automatically taken up by the operating system and the backup installations.

The rest can be used to download whatever your heart desires, whether it’s photos, movies, or anything else you want to keep on your computer.

Today, even though a hard drive can fill up, it’s not always necessary to worry when running out of space.

The “cloud” or cloud-based software does not need local storage.

Your hard drive can be kept free of many downloads by storing data in the cloud. 

What is the Soul of the Computer?

This is definitely up for debate, but at the essence of everything, relationships, tasks, and life itself is a soul, a person who is behind it all.

A person drives them, creates their meaning for existing, why they do what they do—their soul. By this logic, you could say that the soul of a computer is the programmer.

The same can be said about a computer; its soul drives them; what moves them forward?

A computer would be nothing without the ciphers programmed into it and the codes put into the games and applications that enable it to run.

A computer would be lonely without the network of friends that connects it from one computer to another, which is all accomplished by a person.

You could argue that the programmer’s experience and time put into the computer would be a heap of wires and metal, with a bit of glass tossed in, sitting like a wasteful lump, if it were not for the casing in which the wires and memory were contained.

The monitor’s metal or plastic holds in the computer’s essence, while the screen is the window into the soul. 

What is a Programmer?

A computer programmer makes up the code for operating systems and software applications.

Once the software developer creates a catalog, the programmer works on a code that turns that idea into a set of directions, and a computer can then follow.

The programmer will then run the application and test it to see if there are any mistakes and work to make it free of errors before running it.

The programmer’s obligation is to continue to evaluate the programs, modernizing them, and making improvements as needed.

There is no inner workings or knowledge of a computer, as there would be no internet or artificial intelligence without the know-how of the person who programmed it in the first place.

Tech entrepreneur and founder of Tech Medic, who has become a prominent advocate for the Right to Repair movement. She has testified before the US Federal Trade Commission and been featured on CBS Sunday Morning, helping influence change within the tech industry.

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Visual Display Terminals, 1980

To consider the history of computing through the lens of computer pain is to center bodies, users, and actions over and above hardware, software, and inventors

The DEC VT52 computer terminal. SUCH TERMINALS ALLOWED USERS TO ACCESS THE CENTRAL PROCESSING CAPACITIES OF NETWORKED MINICOMPUTER SYSTEMS; LACKING INDEPENDENT PROCESSING CAPACITIES, THEY WERE NOT “PERSONAL COMPUTERS” AS WE UNDERSTAND THEM TODAY. Image: Wikimedia Commons.

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The TRS-80, Apple II, and the Commodore PET. Images: Wikimedia Commons

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TABLE 8 FROM "AN INVESTIGATION OF HEALTH COMPLAINTS AND JOB STRESS IN VIDEO DISPLAY TERMINALS," DOCUMENTING THE REMARKABLE INCREASE IN HEALTH COMPLAINTS FROM CLERICAL WORKERS USING VDTs.

Figure 4.8 from Age of the Smart Machine, pg 145

Figure 4.12 from Age of the Smart Machine, pg 147

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Denise Austin's Tone up at the Terminals, late 1980s.

Ad for the Cummins KeyScan System. Prior to the personal computer, women were routinely depicted as the primary users of many business-facing computing systems. This reflects the influx of computing in the automation of clerical and administrative work. Datamation June 1976 pg 91

The Multitasking of Pain Management Today

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Parts Of A Computer And Their Functions (All Components)

Whether you need to know the essential parts of a computer and their functions for academic reasons or to begin immersing yourself in the world of computers, this is the right resource for you.

Some parts include the case, motherboard, CPU, RAM, graphics card, SSD, and HDD. Read on to discover more about the functions of all components.

The Various Parts Of A Computer And Their Functions

1. the computer case or chassis.

• Function : Protects and houses the computer’s internal components, including the motherboard, hard drives, and expansion cards.
• Design Importance : Cases come in various sizes and designs to accommodate different types of motherboards and cooling systems. Effective design is crucial for maintaining optimal airflow and cooling, which are essential for the reliable operation of internal components.

2. Motherboard

• Function : The main circuit board that connects all components, allowing them to communicate with each other. It provides the foundation for the CPU, RAM, and other peripherals to function harmoniously.
• Connectivity and Expansion : Features slots for RAM, CPU, GPUs, and other expansion cards. The quality and layout of a motherboard determine the system’s stability and expansion capabilities.

Motherboards come in the following sizes:

3. Central Processing Unit (CPU)

• Function : Acts as the brain of the computer, processing instructions and controlling the operations of other components.
• Complexity and Performance : Modern CPUs are complex microprocessors that perform millions of calculations per second. The number of cores and clock speed are critical determinants of how efficiently a computer can perform multiple tasks simultaneously.

4. Random Access Memory (RAM)

• Function : Serves as the computer’s short-term memory, temporarily storing data that the CPU needs quick access to while performing tasks.
• Impact on Performance : More RAM allows a computer to handle more applications simultaneously and improves overall system responsiveness. Speed and capacity impact how effectively applications run.

5. Graphics Card or Graphics Processing Unit (GPU)

• Function : Manages and enhances video and graphics performance, which is especially important in gaming, video editing, and other graphics-intensive applications.
• Types : Differentiates between integrated GPUs, which are suitable for basic tasks, and dedicated GPUs, which provide additional processing power for advanced visual computing.

6. Storage Devices: Hard Disk Drives (HDD) and Solid-State Drives (SSD)

• Function : Permanently store software, documents, and other files. HDDs use mechanical platters and a moving read/write head to access data, while SSDs use non-volatile flash memory.
• Comparison : SSDs are faster and more durable because they contain no moving parts, thus offering quicker boot times and data access rates, which significantly enhance computing speeds.

7. Power Supply Unit (PSU)

• Function : Converts the AC power from the wall outlet into the DC power that the computer components require.
• Considerations : Selecting a PSU with appropriate wattage is crucial for system stability and to prevent hardware damage. Efficiency ratings indicate how effectively the PSU uses the power from the outlet .

Supporting Components and Their Roles

Cooling systems.

• Function : Essential for preventing overheating, which can reduce efficiency and lifespan of components.
• Systems : Includes fans and liquid cooling solutions. Proper cooling is vital for maintaining performance, especially in high-load environments like gaming or graphic design.

Expansion Cards

• Function : Used to add new capabilities or enhance existing ones, such as better sound handling, additional video output, or improved network speeds.
• Examples : Common types include sound cards, network cards, and newer USB cards which provide additional ports.

Understanding each component’s role within a computer not only aids in troubleshooting and upgrades but also enhances one’s ability to make informed decisions about computer technology. Whether assembling a new PC or optimizing an existing one, this knowledge is invaluable.

A video summary of this article on YouTube

Marlo brings over 20 years of IT expertise to his role as the founder and driving force behind Computer Info Bits. With a lifelong passion for technology, he has dedicated his career to not only working within the IT industry but also sharing that knowledge extensively. Since 2019, Marlo has turned his focus to writing, aiming to demystify technology and make accessible, reliable information available to both tech novices and professionals.

Through his articles, Marlo covers everything from basic computer tips to complex hardware discussions, always with the aim of helping readers better understand and use their technology. He continues to stay at the forefront of the tech world, dedicating countless hours to researching and interacting with the latest developments.

How does the computer relate to the human body?

To help new users understand the computer components and their functions , we often make comparisons with parts of the human body. The following list refers to various human body parts and then gives an analogy of how they relate to computer parts.

The examples below are a great starting point to give new computer users a better understanding of the parts of a computer. However, this information only provides a basic overview. See the related information links at the bottom of this page to continue learning more about the computer and how it works.

Human brain

The brain is actually like three parts of the computer:

• The hard drive is like the brain because it's used to permanently store all ( non-volatile ) files and information on the computer.
• The RAM (random-access memory) is also like another part of the brain that handles conscious thought, temporarily ( volatile ) holding information that's later forgotten.
• The software on a hard drive has instructions the computer uses to know how to operate.

Nervous system

The human nervous system is what connects everything in your body. The computer also has a nervous system called a motherboard , which connects all computer parts and allows them to communicate. A computer motherboard makes these connections by being a big PCB (printed circuit board) and having different types of buses that transmit the data.

Spinal cord

The spinal cord helps the body move. Like the spinal cord, a CPU (central processing unit) takes instructions from the software and tells the computer what steps it should perform.

Many incorrectly believe the CPU is the "brain" of the computer. However, the CPU is only a complex calculator , and software is the component doing the "thinking."

A monitor or other display device is like a human face. It is the part you spend the most time looking at while working on the computer.

The human eyes are like a webcam or other camera connected to the computer. Once one of these input devices is connected, it can accept any visual input.

The ears are like a computer microphone . Once connected, a microphone is a peripheral device that accepts any audible input.

The human mouth could be one of many output devices used with a computer. However, we believe the speakers and printer are the most closely-related devices, which help the computer communicate with the user. Speakers and printers output information to computer users, like the mouth that speaks, or outputs, words and information to other people.

The human heart keeps the body and all its parts alive. Like the heart, the computer power supply keeps the computer powered on and running. If the computer were to lose power and does not have a battery backup , it would stop working. However, unlike humans, a computer can remain powered off for days, months, or years and continue working once the power is restored.

Just like you, the computer needs to moderate its temperature. Like the sweat glands in your skin, computers have case fans and heat sinks to help prevent them from overheating. If a computer or any of its sensitive parts get close to overheating , a computer turns itself off to help prevent damage.

The hands allow us to move and manipulate other objects. The computer uses input devices like the keyboard and mouse as its hands to interact with the user.

Skin and bones

The computer chassis (case) holds everything together and protects its sensitive equipment, much like the skin and bones do in a human body.

What are other computer terms that relate to the body?

The following are other computer-related terms containing human body terms.

Related information

• How to learn more about computers.
• Why should I learn about computers?
• How does a computer work?
• How to set up a new computer.
• How to use a computer.
• All computer learning and training-related pages.

Home Technology Trends & News Humans vs Computers: Similarities Loading Now Part I

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Humans vs Computers: Similarities Loading Now Part I

There is an invincible, indestructible, and co-dependent connection between humans and computers. And no. It is not wireless. The relationship represents a combination of organic thinking and machine calculation, one of which can hardly exist without the other. In many ways, this correlation shapes the present as we know it and promises the future we have all seen in expensive Hollywood productions. Quite often, it produces physically imagined forms of droids, robots, and cyborgs. Most importantly, however, this relationship is based on the differences and similarities between humans and computers and the ways in which what one of them lacks can be fulfilled by what the other one has.

What is the main connection between humans and computers?

Humans and computers inhabit one and the same world, in which they seem to exist in symbiosis. To present it in the most easy to comprehend way, computers need people in order to be created in the first place, while people need computers in order to evolve. The progress of media, banking, electricity, telecommunication, energy efficiency, railways, and other means of transportation depends on technology. The more advanced it is, the more advanced they are in return. 

Just think of modern-day cars, which are basically computers on wheels. Without innovative software projects and dozens of sensitive components that function like artificial neurons through electrical impulses in a nervous system (entertainment systems, brakes, infotainment systems, cockpits, and so on), the automotive sector wouldn’t have been as successful as it is now. But computers are not integrated into the structure of vehicles alone. They are integrated into the very process of making a vehicle, too. 

Car manufacturers have come a long way using high-tech tactics when building automobiles. And nowadays, there is a more effectively working generation of auto assembly lines that is composed of collaborative computerized robots that are part machines, part humans. Carmakers such as Kia, Ford, Haval, and BMW, for example, have all used and are using robotic machines for more cost-efficient and energy-efficient assembly lines. 

But it does not end with the automotive industry alone. Other industries, including Pharma, largely rely on computers for tasks ranging from filing and keeping records to monitoring and service-offshoring. And if science wouldn’t have been the same without computers, what is left for the IT sector itself? Without computers, IT would have been non-existent; a program would have remained just a TV show; and human memory would have been something that one lost with age and a hard drive—a long trip on the road – unlike computer memory.

Similarities between Humans and Computers

It is true that computers become smarter and more sophisticated as time passes through machine learning. Characteristics that are very close to those of human beings are ascribed to machines, and this is perceived as a potential threat. Think of The Terminator. Think of Chappie. Think of The Matrix. Think of all of those movies that depict worlds dominated by computers and artificial intelligence. People are no longer saying, “Oh, computers are really stupid. They can’t really think. They cannot really understand. They cannot really read Shakespeare.” 

Quite the contrary. Computers are clever, sometimes even cleverer than humans. The computer’s evolution never slows down and does not seem to be getting any closer to settling down. Even though they are not entirely operating on human levels, computers progressively improve their intellectual activities and capabilities. But what is the common thing between them and humans apart from the fact that both of them are most valuable when they are working and being productive?

Just like people, machines can learn too. They gain knowledge, and then they gain more knowledge on how to enhance what they already know. Some might argue that this is possible due to humans and the programming on computers, but think of students and their teachers. Isn’t this exactly what happens in the human-computer situation as well? One is the giver, who transmits information and knowledge to the receiver. The interaction between them and the outcome is what matters. 

And what is the outcome—computers being able to absorb new information and reproduce it proactively thanks to algorithms such as “deep learning”. Watson and Deep Blue are typical examples of computers being able to learn and outsmart humans. The formal one represents a chess-playing computer created by IBM, an American technology and consulting corporation. On February 10, 1996, Deep Blue played against the famous world chess champion Garry Kasparov and defeated him. Watson, then, demonstrated another set of artificial skillfulness and depth in the Jeopardy! show. It competed against two of the best contestants, Brad Rutter and Ken Jennings, and managed to outplay them. Without human interference, of course.

Understanding

Machine-learning based systems also enable computers to show some sort of understanding. This learning is based on pure data and not on manually programmed codes. Just like humans, then, computers do not understand by what they are told but by what they see and observe on their own. Companies and websites such as Netflix, Amazon, and eBay take advantage of such machine-learning abilities in order to suggest products to their users based on their preferences and previous choices. 

Another example is the Chinese website Baidu, which uses a leading edge image recognition system. The system can understand and search for pictures, for instance, that are similar in many ways (like position, facial expression, contours, shapes, color, etc.) to the picture one has uploaded before that. This proves that computers and computer-based systems can comprehend what they see, generate descriptions, and deliver results based on received data. It is not exactly human performance and understanding, but it has analogs.

Processing power and speed

Drawing parallels between human brains and computer databases brings up a variety of other similarities. Both of them have memory/storage capacity; both of them use electrical signals like nerve cells; both of them can retrieve and transmit data; both of them have partitions; and both of them connect data in order to reach logical and working conclusions. Being able to analyze and link scattered and proportionate data, computers, consequently, have the capabilities to create logical structures, allowing them to understand and learn.

Humans vs technology

There are also aspects of the world we live in where people and machines differ quite a bit. 

Problem solving and decision making

Problem-solving and decision-making processes involve complex cognitive tasks that can be performed by both humans and computers. Here are some key considerations regarding the comparison between humans and computers in problem-solving and decision-making:

Human Advantages:

• Contextual understanding: Humans possess the ability to understand complex contexts, nuances, and emotional aspects that may be challenging for computers to grasp.
• Intuition and creativity: Humans can rely on intuition, creativity, and divergent thinking to generate innovative solutions or make decisions based on non-linear patterns and subjective factors.
• Ethics and moral judgment: Humans can navigate ethical dilemmas and make decisions based on moral principles, empathy, and social considerations that go beyond logical analysis.

Computer Advantages:

• Speed and accuracy: Computers can process large amounts of data quickly and perform calculations accurately, enabling faster analysis and decision-making in certain scenarios.
• Data-driven insights: Computers can analyze vast datasets, identify patterns, and generate data-driven insights that may not be immediately apparent to humans, supporting evidence-based decision-making.
• Consistency and objectivity: Computers can make decisions consistently and objectively, avoiding biases and subjective influences that may affect human decision-making.
• Automation and scalability: Computers can automate repetitive tasks and scale their capabilities, allowing for efficient handling of large volumes of data or complex calculations.

Creativity and innovation

Humans possess unique qualities that contribute to creativity and innovation, such as intuitive thinking, contextual understanding, non-linear thinking, and the ability to incorporate emotional and aesthetic considerations into their work. On the other hand, computers excel in data-driven insights, algorithmic creativity, rapid processing and simulation capabilities, as well as automation and optimization. While humans bring subjective and nuanced perspectives, computers offer objective analysis, efficient processing, and the ability to handle vast amounts of data. Both humans and computers have distinct strengths that contribute to creativity and innovation, and leveraging these strengths can lead to powerful outcomes in various domains.

Interaction and communication

Human interaction and communication involve the use of natural language, including complex sentences, emotional expression, and conveying abstract concepts. Non-verbal cues such as facial expressions, body language, and gestures enhance communication, while empathy and social dynamics allow for understanding, adapting to social cues, building relationships, and navigating social complexities. In contrast, computer interaction relies on programmed languages and structured protocols to transmit and receive data, with limited understanding of natural language and the inability to interpret non-verbal cues. Computers provide prompt and predictable responses based on pre-programmed instructions or algorithms, ensuring consistent and reliable interactions.

Potential for bias and error

• Subjectivity and cognitive biases: Humans are susceptible to various biases and errors, including cognitive biases influenced by personal beliefs, experiences, and emotions. These biases can affect decision-making, judgment, and data interpretation.
• Limited capacity and fatigue: Humans have limitations in attention span, memory, and cognitive capacity, leading to potential errors due to information overload, multitasking, and fatigue.
• Unconscious biases: Humans can unknowingly harbor biases based on factors such as race, gender, or age, which can influence decision-making and actions.
• Algorithmic biases: Computers can be subject to bias if the algorithms used in their programming are flawed or biased. Biases present in training data or algorithmic design can lead to discriminatory outcomes or skewed results.
• Lack of contextual understanding: Computers lack the contextual understanding that humans possess, which can lead to errors in interpreting complex or ambiguous situations.
• Dependency on data quality: Computers heavily rely on data inputs, and if the data is incomplete, inaccurate, or biased, it can result in flawed outputs and erroneous conclusions.

Impact on society and the workforce

In terms of impact on society and the workforce, humans bring unique skills such as creativity, critical thinking, and interpersonal interactions, which contribute to innovation and complex decision-making. On the other hand, computers offer automation, efficiency, scalability, and consistency in tasks. While automation may lead to job displacement, it also creates new opportunities and roles. Finding a balance between human capabilities and technological advancements is crucial for maximizing productivity and ensuring a smooth transition in the workforce.

Drawing assumptions from all this, people come to realize that the human-like capabilities of computers grow exponentially and at rates faster than those of any person. There is no doubt that machines follow commands, but it is the way in which they follow those commands that amazes us. What is more, computers succeed in exhibiting that they can function as separate agents without the direct presence of a computer programmer or engineer. They learn, comprehend, and respond in the most profound ways. They come up with images based on descriptions, produce answers based on questions, and evoke meaning based on understanding. And just like people, computers adapt and evolve over time. But is this enough to make them superior once and for all? Let’s find out in our Humans vs Computers series, Part II !

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Is your brain a computer?

We asked experts for their best arguments in the long-standing debate over whether brains and computers process information the same way.

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It’s an analogy that goes back to the dawn of the computer era: ever since we discovered that machines could solve problems by manipulating symbols, we’ve wondered if the brain might work in a similar fashion. Alan Turing, for example, asked what it would take for a machine to “think” ; writing in 1950, he predicted that by the year 2000 “one will be able to speak of machines thinking without expecting to be contradicted.” If machines could think like human brains, it was only natural to wonder if brains might work like machines. Of course, no one would mistake the gooey material inside your brain for the CPU inside your laptop—but beyond the superficial differences, it was suggested, there might be important similarities. 

Today, all these years later, experts are divided. Although everyone agrees that our biological brains create our conscious minds , they’re split on the question of what role, if any, is played by information processing—the crucial similarity that brains and computers are alleged to share.

While the debate may sound a bit academic, it actually has real-world implications: the effort to build machines with human-like intelligence depends at least in part on understanding how our own brains actually work, and how similar—or not—they are to machines. If brains could be shown to function in a way that was radically different from a computer, it would call into question many traditional approaches to AI. 

The question may also shape our sense of who we are. As long as brains, and the minds they enable, are thought of as unique, humankind might imagine itself to be very special indeed. Seeing our brains as nothing more than sophisticated computational machinery could burst that bubble.

We asked the experts to tell us why they think we should—or shouldn’t—think of the brain as being “like a computer.”

AGAINST: The brain can’t be a computer because it’s biological.

Everyone agrees that the actual stuff inside a brain—“designed” over billions of years by evolution—is very different from what engineers at IBM and Google put inside your laptop or smartphone. For starters, brains are analog. The brain’s billions of neurons behave very differently from the digital switches and logic gates in a digital computer. “We’ve known since the 1920s that neurons don’t just turn on and off,” says biologist Matthew Cobb of the University of Manchester in the UK. “As the stimulus increases, the signal increases,” he says. “The way a neuron behaves when it’s stimulated is different from any computer that we’ve ever built.” 

Blake Richards, a neuroscientist and computer scientist at McGill University in Montreal, agrees: brains “process everything in parallel, in continuous time” rather than in discrete intervals, he says. In contrast, today’s digital computers employ a very specific design based on the original von Neumann architecture . They work largely by going step by step through a list of instructions encoded in a memory bank, while accessing information stored in discrete memory slots. 

“None of that has any resemblance to what goes on in your brain,” says Richards. (And yet, the brain keeps surprising us: in recent years, some neuroscientists have argued that even individual neurons can perform certain kinds of computations, comparable to what computer scientists call an XOR, or “exclusive or,” function.)

FOR: Sure it can! The actual structure is beside the point.

But perhaps what brains and computers do is fundamentally the same, even if the architecture is different. “What the brain seems to be doing is quite aptly described as information processing,” says Megan Peters, a cognitive scientist at the University of California, Irvine. “The brain takes spikes [brief bursts of activity that last about a tenth of a second] and sound waves and photons and converts it into neural activity—and that neural activity represents information.”

Richards, who agrees with Cobb that brains work very differently from today’s digital computers, nonetheless believes the brain is , in fact, a computer. “A computer, according to the usage of the word in computer science, is just any device which is capable of implementing many different computable functions,” says Richards. By that definition, “the brain is not simply like a computer. It is literally a computer.”

Michael Graziano, a neuroscientist at Princeton University, echoes that sentiment. “There’s a more broad concept of what a computer is, as a thing that takes in information and manipulates it and, on that basis, chooses outputs. And a ‘computer’ in this more general conception is what the brain is; that’s what it does.”

But Anthony Chemero, a cognitive scientist and philosopher at the University of Cincinnati, objects. “What seems to have happened is that over time, we’ve watered down the idea of ‘computation’ so that it no longer means anything,” he says. “Yes, your brain does stuff, and it helps you know things—but that’s not really computation anymore.”

FOR: Traditional computers might not be brain-like, but artificial neural networks are.

All of the biggest breakthroughs in artificial intelligence today have involved artificial neural networks , which use “layers” of mathematical processing to assess the information they’re fed. The connections between the layers are assigned weights (roughly, a number that corresponds to the importance of each connection relative to the others—think of how a professor might work out a final grade based on a series of quiz results but assign a greater weight to the final quiz). Those weights are adjusted as the network is exposed to more and more data, until the last layer produces an output. In recent years, neural networks have been able to recognize faces, translate languages , and even mimic human-written text in an uncanny way. 

“An artificial neural network is actually basically just an algorithmic-level model of a brain,” says Richards. “It is a way of trying to model the brain without reference to the specific biological details of how the brain works.” Richards points out that this was the explicit goal of neural-network pioneers like Frank Rosenblatt, David Rumelhart, and Geoffrey Hinton : “They were specifically interested in trying to understand the algorithms that the brain uses to implement the functions that brains successfully compute.”

Scientists have recently developed neural networks whose workings are said to more closely resemble those of actual human brains . One such approach, predictive coding, is based on the premise that the brain is constantly trying to predict what sensory inputs it’s going to receive next; the idea is that “keeping up” with the outside world in this way boosts its chances for survival—something that natural selection would have favored. It’s an idea that resonates with Graziano. “The purpose of having a brain is movement—being able to interact physically with the external world,” he says. “That’s what the brain does; that’s the heart of why you have a brain. It’s to make predictions.”

AGAINST: Even if brains work like neural networks, they’re still not information processors.

Not everyone thinks neural networks support the notion that our brains are like computers. One problem is that they are inscrutable : when a neural network solves a problem, it may not be at all clear how it solved the problem, making it harder to argue that its method was in any way brain-like. “The artificial neural networks that people like Hinton are working on now are so complicated that even if you try to analyze them to figure out what parts were storing information about what, and what counts as the manipulation of that information, you’re not going to be able to pull that out,” says Chemero. “The more complicated they get, the more intractable they become.”

But defenders of the brain-as-computer analogy say that doesn’t matter. “You can’t point to the 1 s and 0 s,” says Graziano. “It’s distributed in a pattern of connectivity that was learned among all those artificial neurons, so it’s hard to ‘talk shop’ about exactly what the information is, where it’s stored, and how it’s encoded—but you know it’s there.”

FOR: The brain has to be a computer; the alternative is magic. 

If you’re committed to the idea that the physical brain creates the mind, then computation is the only viable path, says Richards. “Computation just means physics,” he says. “The only other option is that you’re proposing some kind of magical ‘soul’ or ‘spirit’ or something like that ... There’s literally only two options: either you’re running an algorithm or you’re using magic.”

AGAINST: The brain-as-computer metaphor can’t explain how we derive meaning.

No matter how sophisticated a neural network may be, the information that flows through it doesn’t actually mean anything, says Romain Brette, a theoretical neuroscientist at the Vision Institute in Paris. A facial-recognition program, for example, might peg a particular face as being mine or yours—but ultimately it’s just tracking correlations between two sets of numbers. “You still need someone to make sense of it, to think, to perceive,” he says. 

Which doesn’t mean that the brain doesn’t process information—perhaps it does. “Computation is probably very important in the explanation of the mind and intelligence and consciousness,” says Lisa Miracchi, a philosopher at the University of Pennsylvania. Still, she emphasizes that what the brain does and what the mind does are not necessarily the same. And even if the brain is computer-like, the mind may not be: “Mental processes are not computational processes, because they’re inherently meaningful, whereas computational processes are not.”

So where does that leave us? The question of whether the brain is or is not like a computer appears to depend partly on what we mean by “computer.” But even if the experts could agree on a definition, the question seems unlikely to be resolved anytime soon—perhaps because it is so closely tied to thorny philosophical problems, like the so-called mind-body problem and the puzzle of consciousness. We argue about whether the brain is like a computer because we want to know how minds came to be; we want to understand what allows some arrangements of matter, but not others, not only to exist but to experience. 

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FREE K-12 standards-aligned STEM

curriculum for educators everywhere!

Find more at TeachEngineering.org .

• TeachEngineering
• Our Bodies Have Computers and Sensors

Unit Our Bodies Have Computers and Sensors

Engineering Connection

Comparing neuroscience and engineering shows us the functional similarities between the human brain and human-made computers, sensors and robots. Electrical, mechanical and biological engineers apply mathematical principles similar to those used in human brains and systems as they devise improved robots, computers and sensors. With the growing popularity of the biological engineering and systems neurobiology fields, engineers are becoming more involved in human body research involving efforts to replicate the functioning of many of human systems. For example, engineers are designing walking robots with artificial organs, such as heart and liver, and bio-sensors, such as for detecting sugar levels for diabetics.

Educational Standards Each TeachEngineering lesson or activity is correlated to one or more K-12 science, technology, engineering or math (STEM) educational standards. All 100,000+ K-12 STEM standards covered in TeachEngineering are collected, maintained and packaged by the Achievement Standards Network (ASN) , a project of D2L (www.achievementstandards.org). In the ASN, standards are hierarchically structured: first by source; e.g. , by state; within source by type; e.g. , science or mathematics; within type by subtype, then by grade, etc .

See individual lessons and activities for standards alignment.

Unit Schedule

Conduct the lessons and activities in the following order:

• Lesson 1: Brain is a Computer  --> Activity 1: That's Hot! Robot Brain Programming
• Lesson 2: Humans and Robot Sensors  --> Activity 2: Commanding a Robot Using Sound  --> Activity 3: Hearing: How Do Our Ears Work?  --> Activity 4: Sound from Left or Right?
• Lesson 3: Reflecting on Human Reflexes  --> Activity 5: Pupillary Response & Test Your Reaction Time

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Through six lesson/activity sets, students learn about the functioning of sensors, both human and robotic. The overall framework reinforces the theme of the human body as a system with sensors—that is, from an engineering perspective.

Students gain a rigorous background in the primary human "sensors," as preparation for comparing them to some electronic equivalents in the associated activity. Students learn the concept of "stimulus-sensor-coordinator-effector-response" to describe the human and electronic sensory processes.

Students learn about the similarities between the human brain and its engineering counterpart, the computer. Since students work with computers routinely, this comparison strengthens their understanding of both how the brain works and how it parallels that of a computer.

Students learn about human reflexes, how our bodies react to stimuli and how some body reactions and movements are controlled automatically, without thinking consciously about the movement or responses. In the associated activity, students explore how reflexes work in the human body by observing an ...

Contributors

Supporting program, acknowledgements.

This curriculum was developed under National Science Foundation GK-12 grant number DGE 0440524. However, these contents do not necessarily represent the policies of the National Science Foundation, and you should not assume endorsement by the federal government.

Last modified: November 21, 2017

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Treat your body as if it were a nice computer

Published 12:00 am Wednesday, March 9, 2016

By Carolyn Bivins

Just step back and take a few minutes to think about how amazingly similar caring for our bodies can be to caring for a computer. It makes us want to stop and say “Hmmm, that’s interesting!” WOW! I believe, it’s the fast and ever revolving world we are living in now.

The following are some examples of comparing the computer to the human body:

Central processing unit (CPU). The CPU is like the brain of the body. The CPU controls the computer and is the most important part of a computer; similar to the way the brain controls the human body and is very important.

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Power button. The power button is needed by the computer is similar to energy needed for the human body. The computer needs power to collect and store data; we humans need to eat food to have energy to work and do things.

Expansion slots. The expansion slot of computer is the arm of the human body. They are places on a computer where you can upgrade things; similarly we humans get shots to strengthen our immune system.

The motherboard. The motherboard is the main structure of the computer similarly to the skeleton is the main structure of the human body.

The RAM. The RAM is a hardware which has the role of short-term memory of the computer; similarly the pre-frontal lobe in the brain plays the role of short term memory in the body.

Computer units. The computer units of a computer is a measuring system for how much data a computer can hold; similarly a human eats certain amount of food and when they feel full they stop eating. Computer units: bit, bytes, megabytes, gigabytes, etc., compared to the Human Body food intake units: grams, kilograms, pounds, liters, cups, teaspoons and tablespoons. So forth and so on. There are many more I could list, but I think you get the gist about the comparisons!

Now, if your body were a computer, would it be receiving lots of “error” messages? Is it beginning to run slower and take longer to “start?” Here’s a checklist to help optimize your performance and prevent crashing.

Are you running too many programs at once?

If you’re operating less efficiently because there are too many activities making demands on your system, shut down some programs. Some examples include:

• If time is tight, rather than make a special company dinner from “scratch,” invite people for a potluck meal.

• No time to work out and fix your hair afterwards — get a new hairstyle or cover your hair with some type of interesting headgear. Who knows, you might start a whole new product line. You may actually accomplish more if you don’t try to accomplish several things at the same time.

Researchers, such as Dr. Earl Miller, Massachusetts Institute of Technology Picower professor of neuroscience, are finding that multi-tasking can be less efficient than doing one task at a time, especially if the tasks are more complex.

Consider scheduling tasks for separate times:

• Alternate cooking days with workout days. Cook ahead on cooking days, freeing up time on your workout days.

• Plan a casserole or stew that can cook while you do yoga or take a walk. If you do multi-task, combine a task that doesn’t demand as much input from your system as the other task.

Here are two possible examples:

• Work out on a treadmill or a stationary bike while watching TV

• Listen to soft music while cooking or while helping with homework.

Is your anti-virus software up-dated and running?

If you’re susceptible to every bug that comes around, it’s time to check if you’re eating right, getting enough sleep, being physically active and reducing stress. The cost and time for “repairs” may be greater than the amount needed for prevention.

Is your battery dangerously low?

Recharge your battery before it loses power completely. Habit No. 7 in Stephen Covey’s The 7 Habits of Highly Effective People is “Sharpen the Saw.” Covey tells the story of a woodcutter whose productivity decreased after sawing for several days straight. Each day his saw became duller and duller.

Covey advocates a balanced program for self-renewal in these four areas of your life: physical, social/emotional, mental and spiritual.

Recharge by eating healthy, getting some physical activity, making meaningful connections with others, stimulating your mind and devoting time to your spiritual renewal through such means as time spent in nature, music, prayer or service.

Are you bogged down by unneeded files and programs?

Remove anything from your life that isn’t needed and slows your overall performance. For example:

• Do you still belong to a club or organization that no longer meets your needs or interests? The time you’re giving this activity is taking time from something else. Move on!

• Are you ironing (what’s an iron, some of you may say!) the whole shirt when only the collar will show under your sweater?

Do you need to hit “escape,” “undo” or “delete?”

Your computer offers several options if you change your mind about a decision. Offer yourself that same choice with your life.

You may have a reputation for always saying “yes” to a request for help, regardless of how busy you are. The next time, say something such as one of the following examples. It’s not necessary to elaborate and give an explanation.

• “I’m sorry but I’m not available that night” or “I have another commitment for that time.”

• “I can’t help you right now, but I could (in a half hour, next week, next month).”

• “I can only help you for an hour, and then I have to leave.” Leave after an hour, even if it’s just to go to the bathroom if you’re at your office!

• “I can’t do that right now, but I could … (name a less time-consuming task).”

Time to reboot

Now, that you’ve finished trouble-shooting your personal system, consider making some changes. Then, reboot your body and enjoy the benefits! Source: Alice Henneman, MS, RDN; Steve Wang on Prezi.

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TOPIC SENTENCE/ In his numerous writings, Marx critiques capitalism by identifying its flaws. ANALYSIS OF EVIDENCE/ By critiquing the political economy and capitalism, Marx implores his reader to think critically about their position in society and restores awareness in the proletariat class. EVIDENCE/ To Marx, capitalism is a system characterized by the “exploitation of the many by the few,” in which workers accept the exploitation of their labor and receive only harm of “alienation,” rather than true benefits ( MER 487). He writes that “labour produces for the rich wonderful things – but for the worker it produces privation. It produces palaces—but for the worker, hovels. It produces beauty—but for the worker, deformity” (MER 73). Marx argues capitalism is a system in which the laborer is repeatedly harmed and estranged from himself, his labor, and other people, while the owner of his labor – the capitalist – receives the benefits ( MER 74). And while industry progresses, the worker “sinks deeper and deeper below the conditions of existence of his own class” ( MER 483).  ANALYSIS OF EVIDENCE/ But while Marx critiques the political economy, he does not explicitly say “capitalism is wrong.” Rather, his close examination of the system makes its flaws obvious. Only once the working class realizes the flaws of the system, Marx believes, will they - must they - rise up against their bourgeois masters and achieve the necessary and inevitable communist revolution.

Not every paragraph will be structured exactly like this one, of course. But as you draft your own paragraphs, look for all three of these elements: topic sentence, evidence, and analysis.

• picture_as_pdf Anatomy Of a Body Paragraph

Home — Essay Samples — Information Science and Technology — Artificial Intelligence — The Differences Between Human Brain And Computer

The Differences Between Human Brain and Computer

• Categories: Artificial Intelligence

About this sample

Words: 1631 |

Published: Dec 16, 2021

Words: 1631 | Pages: 4 | 9 min read

Table of contents

Introduction.

• The mind utilizes synthetic substances to transmit data; the PC utilizes power. Despite the fact that electrical signs travel at high speeds in the sensory system, they travel significantly quicker through the wires in a PC.
• Computer memory develops by including PC chips. Recollections in the mind develop by more grounded synaptic associations.
• The human cerebrum has tipped the scales at around 3 pounds for about the most recent 100,000 years. PCs have developed a lot quicker than the human cerebrum. PCs have been around for just a couple of decades, yet quick innovative headways have made PCs quicker, littler and all the more remarkable.
• The cerebrum needs supplements like oxygen and sugar for power; the PC needs power to continue working.
• https://itspsychology.com/memory-human-memory/
• https://www.crucial.com/blog/technology/how-does-the-human-brain-compare-to-a-computer
• https://www.ukessays.com/essays/psychology/human-and-computer-information-processing-psychology-essay.php
• https://safebytes.com/brains-different-computers/
• https://www.livescience.com/20718-computer-history.html
• https://www.bgosoftware.com/blog/humans-vs-computers-similarities-loading-now-part-i/
• https://amp.businessinsider.com/how-brains-computers-are-different-2016-6
• https://www.frontiersin.org/articles/10.3389/frobt.2018.00121/full
• https://science.howstuffworks.com/life/inside-the-mind/human-brain/computer-intellectual-ability1.htm
• https://www.forbes.com/sites/quora/2016/03/02/how-powerful-is-the-human-brain-compared-to-a-computer/#5ed47920628e
• https://faculty.washington.edu/chudler/bvc.html
• https://www.leydesdorff.net/vonneumann/

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And the internet?

The internet represents how the computer has evolved further then us. That will be when we gain telepathy and learn to communicate with each other by achieving enlightenment and access to a higher realm of infinite knowledge - where our sprits/souls and life-force reside - and where our counsiousness is projected from. Macs are: Danish people, Canadians, the Dutch, the Swedish etc.; they are less likely to be corrupted. People from most asian countries are custom built PCs - they are dedicated to doing very specific things very well - and are devoted to these things their whole lives. Usually have much longer lives as well Anti virus programs are: vaccines, taking vitamins, eating healthy - and usually a sign of someone who is interested in being healthy.

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What about the GPU/Graphics Card? What about the Power Supply? Does the cables act as arteries and veins?

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what can be said abt operating systems and softwares?comparing them with human body.

The Soul is the Power Supply Unit

Operating System- Genetics, Experience, Zodiac, Reincarnations all mixed together Software- Knowledge

Graphics Card = Charisma

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What part of computer that refer to nose?

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What about the system unit, What human body parts can compare?

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• COMPUTER PARTS COMPARED TO HUMAN BODY THE COMPUTER PARTS RELATED TO THE HUMAN BODY It has been noted that a computer has the main parts and peripherals. These parts and periph...