research article summarizer ai

Use AI to summarize scientific articles in seconds

Send a document, get a summary. It's that easy.

If GPT had a PhD

• 50,000 words summarized
• First article summarized per month can be up to 200,000 words
• 50 documents indexed for semantic search
• 100 Chat Messages
• Unlimited article searches
• Import and summarize references with the click of a button
• 1,000,000 words summarized per month
• Maximum document length of 200,000 words
• Unlimited bulk summaries
• 10,000 chat messages per month
• 1,000 documents indexed for semantic search

Summarize any | in a click.

TLDR This helps you summarize any piece of text into concise, easy to digest content so you can free yourself from information overload.

Enter an Article URL or paste your Text

Browser extensions.

Use TLDR This browser extensions to summarize any webpage in a click.

Single platform, endless summaries

Transforming information overload into manageable insights — consistently striving for clarity.

100% Automatic Article Summarization with just a click

In the sheer amount of information that bombards Internet users from all sides, hardly anyone wants to devote their valuable time to reading long texts. TLDR This's clever AI analyzes any piece of text and summarizes it automatically, in a way that makes it easy for you to read, understand and act on.

Article Metadata Extraction

TLDR This, the online article summarizer tool, not only condenses lengthy articles into shorter, digestible content, but it also automatically extracts essential metadata such as author and date information, related images, and the title. Additionally, it estimates the reading time for news articles and blog posts, ensuring you have all the necessary information consolidated in one place for efficient reading.

• Automated author-date extraction
• Related images consolidation
• Instant reading time estimation

Distraction and ad-free reading

As an efficient article summarizer tool, TLDR This meticulously eliminates ads, popups, graphics, and other online distractions, providing you with a clean, uncluttered reading experience. Moreover, it enhances your focus and comprehension by presenting the essential content in a concise and straightforward manner, thus transforming the way you consume information online.

Avoid the Clickbait Trap

TLDR This smartly selects the most relevant points from a text, filtering out weak arguments and baseless speculation. It allows for quick comprehension of the essence, without needing to sift through all paragraphs. By focusing on core substance and disregarding fluff, it enhances efficiency in consuming information, freeing more time for valuable content.

• Filters weak arguments and speculation
• Highlights most relevant points
• Saves time by eliminating fluff

Who is TLDR This for?

TLDR This is a summarizing tool designed for students, writers, teachers, institutions, journalists, and any internet user who needs to quickly understand the essence of lengthy content.

Anyone with access to the Internet

TLDR This is for anyone who just needs to get the gist of a long article. You can read this summary, then go read the original article if you want to.

TLDR This is for students studying for exams, who are overwhelmed by information overload. This tool will help them summarize information into a concise, easy to digest piece of text.

TLDR This is for anyone who writes frequently, and wants to quickly summarize their articles for easier writing and easier reading.

TLDR This is for teachers who want to summarize a long document or chapter for their students.

Institutions

TLDR This is for corporations and institutions who want to condense a piece of content into a summary that is easy to digest for their employees/students.

Journalists

TLDR This is for journalists who need to summarize a long article for their newspaper or magazine.

Featured by the world's best websites

Our platform has been recognized and utilized by top-tier websites across the globe, solidifying our reputation for excellence and reliability in the digital world.

Focus on the Value, Not the Noise.

Analyze research papers at superhuman speed

Search for research papers, get one sentence abstract summaries, select relevant papers and search for more like them, extract details from papers into an organized table.

Find themes and concepts across many papers

Don't just take our word for it.

Tons of features to speed up your research

Upload your own pdfs, orient with a quick summary, view sources for every answer, ask questions to papers, research for the machine intelligence age, pick a plan that's right for you, get in touch, enterprise and institutions, custom pricing, common questions. great answers., how do researchers use elicit.

Over 2 million researchers have used Elicit. Researchers commonly use Elicit to:

• Speed up literature review
• Find papers they couldn’t find elsewhere
• Automate systematic reviews and meta-analyses
• Learn about a new domain

Elicit tends to work best for empirical domains that involve experiments and concrete results. This type of research is common in biomedicine and machine learning.

What is Elicit not a good fit for?

Elicit does not currently answer questions or surface information that is not written about in an academic paper. It tends to work less well for identifying facts (e.g. “How many cars were sold in Malaysia last year?”) and theoretical or non-empirical domains.

What types of data can Elicit search over?

Elicit searches across 125 million academic papers from the Semantic Scholar corpus, which covers all academic disciplines. When you extract data from papers in Elicit, Elicit will use the full text if available or the abstract if not.

How accurate are the answers in Elicit?

A good rule of thumb is to assume that around 90% of the information you see in Elicit is accurate. While we do our best to increase accuracy without skyrocketing costs, it’s very important for you to check the work in Elicit closely. We try to make this easier for you by identifying all of the sources for information generated with language models.

What is Elicit Plus?

Elicit Plus is Elicit's subscription offering, which comes with a set of features, as well as monthly credits. On Elicit Plus, you may use up to 12,000 credits a month. Unused monthly credits do not carry forward into the next month. Plus subscriptions auto-renew every month.

What are credits?

Elicit uses a credit system to pay for the costs of running our app. When you run workflows and add columns to tables it will cost you credits. When you sign up you get 5,000 credits to use. Once those run out, you'll need to subscribe to Elicit Plus to get more. Credits are non-transferable.

How can you get in contact with the team?

Please email us at [email protected] or post in our Slack community if you have feedback or general comments! We log and incorporate all user comments. If you have a problem, please email [email protected] and we will try to help you as soon as possible.

What happens to papers uploaded to Elicit?

When you upload papers to analyze in Elicit, those papers will remain private to you and will not be shared with anyone else.

How accurate is Elicit?

Training our models on specific tasks, searching over academic papers, making it easy to double-check answers, save time, think more. try elicit for free..

Research faster with genei

Automatically summarise background reading and produce blogs, articles, and reports faster.

"I could totally see this startup playing the same role as a Grammarly: a helpful extension of workflows that optimizes the way people who write for a living, write." ‍ Natasha Mascarenhas ‍ Senior Reporter at TechCrunch ‍

Y-combinator summer 2021.

Genei is part of Y-Combinator, a US startup accelerator with over 2000 companies including Stripe, Airbnb, Reddit and Twitch.

TechCrunch favourite startups 2021

Genei was recently named among Tech Crunch's favourite startups of summer 2021.

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Prize winning company in Oxford University's prestigious "All Innovate" startup competition.

Trusted by thought leaders and experts

"genei is a company that excites me a lot. Their AI has the potential to offer massive productivity boosts in research and writing."

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"Genei’s summarisation provides a whole new dimension to our research and reporting, and helps contribute towards the clarity and conciseness of our work."

Add, organise, and manage information with ease.

95% of users say genei enables them work more productively. Documents can be stored in customisable projects and folders, whilst content can be linked to any part of a document to generate automatic references.

Ask questions and our AI will find answers.

95% of users say they find greater answers and insights from their work when using genei. 

Finish your reading list faster.

AI-powered summarisation and keyword extraction for any group of PDFs or webpages. ‍ ‍ 98% of users say genei saves them time by paraphrasing complex ideas and enabling them to find crucial information faster.

Improve the quality & efficiency of your research today

Never miss important reading again.

Our chrome extension add-on means you can summarize webpages or save them for later reading as you browse.

• Import, view, summarise & analyse PDFs and webpages
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• Everything in basic
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• Rephrasing and Paraphrasing functionality

Loved by thousands of users worldwide

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SciSummary: Ai Tool to Summarize Complex Scientific Articles

SciSummary is an AI-powered software that simplifies complex scientific articles into concise and easily digestible summaries. It utilizes a custom-tuned GPT-3 model to distill lengthy research papers into manageable nuggets, saving students, scientists, and enthusiasts valuable time. While currently lacking integrations with other software, SciSummary’s focus on data accuracy and quality control positions it as a game-changer in unlocking scientific knowledge efficiently.

Table of Contents

Understanding scisummary.

SciSummary is a revolutionary AI-driven software that transforms how we consume scientific articles. It utilizes cutting-edge technology to provide users with condensed, thorough summaries of intricate and lengthy articles.

You can think of it like your personal science digest, turning pages upon pages of complex information into more manageable nuggets that are easier to comprehend.

Launched in 2023 and based out of the United States, this tool has proven incredibly effective for students, scientists, and anyone interested in keeping up-to-date with current research without having to sift through dense language or complicated concepts.

Purpose And Functionality

SciSummary’s innovative purpose is to simplify scientific articles’ complex world and save users valuable time. Leveraging a custom-tuned GPT model, this groundbreaking AI-driven tool distills dense scientific knowledge into concise, easy-to-understand summaries.

In terms of functionality, it couldn’t be easier to use. To obtain a summary, users merely need to email text, links, or PDF attachments containing their chosen scholarly pieces – no more sifting through complex jargon-filled documents! Within minutes they receive an accurate summary directly in their inbox.

It’s worth noting that while Sci Summary provides outstanding convenience free of cost at present, with user-rated results ensuring data accuracy and quality control – it does not yet offer any integration options within other software frameworks, which could be seen as an area ripe for future development.

The Power Of SciSummary In Unlocking Scientific Knowledge

SciSummary harnesses the power of artificial intelligence to summarize cutting-edge scientific articles, providing users with concise and easily digestible summaries. By enabling busy individuals like students, scientists, and enthusiasts to stay up-to-date with the latest research without spending hours reading lengthy papers, SciSummary unlocks a wealth of scientific knowledge at their fingertips.

Summarization Of Cutting-edge Scientific Articles

SciSummary stands as a beacon of innovation in scientific literature, cutting through advanced research papers’ complexities and jargon-laden text to deliver concise and comprehensible summaries.

This game-changing AI tool leverages a custom-tuned GPT-3 model to rapidly parse even the densest scientific articles.

Take, for example, a theoretical physicist immersed in up-to-the-minute research on string theory or quantum gravity. These are undeniably complex topics with publications that could take hours to fully comprehend.

Instead of manually sifting through volumes of convoluted research papers, they email the PDF file directly to SciSummary.

The accessibility offered by SciSummary also aids students grappling with intricate concepts during their academic pursuits—a molecular biology student struggling with new cell division studies would greatly benefit from quick overviews delivered straight into their inbox! Harnessing SciSummary makes absorbing innovative ideas and breakthroughs faster than ever before, unlocking scientific knowledge for all curious minds.

Role Of Artificial Intelligence

Artificial Intelligence (AI) plays a crucial role in unlocking scientific knowledge through the power of SciSummary. Using advanced AI algorithms, SciSummary can summarize cutting-edge scientific articles within minutes, making it easier for users to understand complex research papers.

With the help of AI, SciSummary can process vast amounts of scientific information and distill it into easily digestible summaries. This allows researchers, students, and scientists to stay up-to-date with the latest field developments without spending hours reading lengthy research papers.

For example, imagine a Ph.D. student who needs to review dozens of articles as part of their literature review.

The integration of AI also enables SciSummary to continuously improve its performance over time by learning from user feedback and refining its summarization algorithms. This ensures that users receive accurate and relevant summaries aligning with their needs.

In conclusion, AI is revolutionizing how we access scientific knowledge by enabling tools like SciSummary to efficiently streamline the process of understanding complex research papers.

Key Features Of SciSummary

SciSummary offers an AI Writing Assistant, making it easy to quickly input and summarize scientific articles.

AI Writing Assistant

The AI Writing Assistant is one of the key features of SciSummary, an AI-powered software that aims to summarize scientific articles. With this feature, users can enjoy the benefits of advanced natural language processing (NLP) technology to enhance their writing experience.

The AI Writing Assistant provides various tools and functionalities such as a style editor, sentence formatting, sentence rephraser, engagement metrics, plagiarism check, tone checker, grammar check, autocorrect, and more.

This means that not only does it help summarize scientific articles, but it also assists users in improving their overall writing skills and ensuring accuracy in their work.

Whether you’re a student working on research papers or a scientist publishing academic articles, the AI Writing Assistant supports you every step of the way.

Integrations

SciSummary currently does not have any integrations with other software. However, the platform offers a range of features and options that can enhance the user experience. Here are some key features and functionalities of SciSummary:

• Chatbot functionality: Users can interact with an AI-powered chatbot to navigate the software and obtain assistance summarizing scientific articles.
• Image recognition: SciSummary utilizes advanced algorithms to analyze images and extract relevant information, allowing users to incorporate visual content into their summaries.
• Machine learning: The software leverages machine learning techniques to continuously improve its summarization capabilities, ensuring accurate and concise summaries.
• Natural language processing (NLP): With NLP technologies, SciSummary can understand the complex scientific text and generate summaries capturing essential information.
• Predictive analytics: SciSummary uses predictive analytics to anticipate user preferences and provide tailored summary results by analyzing previous user interactions and feedback.

While no current integrations exist with external software, SciSummary aims to provide a comprehensive solution for summarizing scientific articles. Its customizable AI model and various built-in functionalities allow users to streamline their reading process and gain quick insights from lengthy publications.

Good to know:

• SciSummary is an AI-driven summarization tool designed to simplify the understanding of scientific articles.
• The platform utilizes a custom-tuned GPT-3 model and is currently in public beta.
• At present, SciSummary does not have any integrations with other software.

Reviews And Recommendations For SciSummary

SciSummary, the AI-powered software that enables the summarization of scientific articles, has been gaining attention and generating buzz in the scientific community.

With its free version available during its public beta stage, SciSummary offers a cost-effective solution for optimizing their time while staying up-to-date with the latest scientific advancements.

Despite not having any integrations, SciSummary’s focus on providing high-quality summaries ensures data accuracy while offering convenience to its users.

Although relatively new (founded in 2023), SciSummary is already positioned as a key player in automated article summarization.

In conclusion, SciSummary represents a powerful tool capable of transforming how we navigate vast amounts of scientific literature. By condensing cutting-edge research into concise summaries using advanced natural language processing algorithms, it empowers users by giving them access to valuable insights that can be leveraged for various purposes—from student assignments to groundbreaking discoveries.

Comparing SciSummary With Alternatives

While SciSummary is a relatively new player in the field, it is a unique offering of AI-powered summarization of scientific articles sets it apart. It fills a necessary gap in the market, catering to the needs of busy students, scientists, and enthusiasts who crave to stay updated with scientific advancements but struggle with time constraints. Although the software lacks integrations with other platforms, its standalone functionality is promising. As SciSummary moves forward, user reviews are yet to be seen, but the potential for this tool is undeniable.

In conclusion, SciSummary is revolutionizing how we access and understand scientific knowledge. Its AI-powered software allows users to quickly and accurately summarize complex scientific articles, saving valuable time for students, scientists, and enthusiasts alike.

The tool’s free version allows for easy access to this powerful technology. While it has no integrations or user reviews, SciSummary presents a promising solution for unlocking scientific knowledge through efficient summarization.

As we continue to explore the possibilities of artificial intelligence in research and education, tools like SciSummary will play a crucial role in democratizing information and fostering innovation.

What is SciSummary, and how does it unlock scientific knowledge?

SciSummary is a tool that summarizes scientific research articles, making the information more accessible and digestible for readers. By condensing complex studies into concise summaries, SciSummary enables individuals to quickly understand key findings without reading lengthy technical papers.

How accurate are the summaries provided by SciSummary?

SciSummary aims to provide accurate and reliable summaries of scientific research articles. The platform utilizes advanced algorithms and natural language processing techniques to ensure that the key information from the original paper is accurately conveyed concisely.

Can I trust the information provided by SciSummary as I would trust reading the full research article?

While SciSummary strives to present accurate information, it’s important to note that nuances or additional details in the full research article may not be captured in the summary. For a comprehensive understanding, researchers should consult primary sources directly.

How can scientists benefit from using SciSummary?

Scientists can save significant time and effort by using SciSummary as a starting point for their literature reviews and staying updated on recent publications within their field of study. The tool provides quick access to relevant insights, allowing researchers to identify relevant studies efficiently and facilitate collaboration among peers.

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• 23 November 2020

tl;dr: this AI sums up research papers in a sentence

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The creators of a scientific search engine have unveiled software that automatically generates one-sentence summaries of research papers, which they say could help scientists to skim-read papers faster.

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doi: https://doi.org/10.1038/d41586-020-03277-2

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SciSummary is a website that uses artificial intelligence to summarize scientific articles. It makes it easier to stay up-to-date with the latest scientific breakthroughs and research findings, without having to spend hours reading long and complicated articles. People can send an email with text, a link, or even a PDF to SciSummary and get a summary back in their inbox within minutes. It is free to use and currently in a public beta.

The company was founded in 2023 and has a team of PhDs to analyze requested summaries and guide the training of the AI model. People can sign up for the newsletter for more updates.

Empower Your Academic Journey

AI Summarizer & Summary Generator

Jenni AI stands as a comprehensive academic writing assistant, encompassing an AI summarizer and summary generator among its key features. This specialized functionality is meticulously crafted to facilitate the creation of concise summaries, effectively condensing extensive research papers, articles, or essays. Jenni AI simplifies the process, enabling you to focus more on your analysis and less on summarization. Our tool is built with the ethos of promoting authentic academic endeavors, not replacing them.

Loved by over 3 million academics

Trusted By Academics Worldwide

Academics from leading institutions rely on Jenni AI for efficient summary generation

Crafting Quality Academic Writing Solutions with Our Text Summarizer

Discover how Jenni AI stands out as the solution for your summarization needs

Effortless Summarization

Jenni AI takes the hassle out of summarization. Just paste your text, and watch as Jenni AI distills the core ideas into a clear, concise summary.

Get started

Interactive Editing

Don’t just settle for the first draft. Interact with the summary, tweak, and refine it to meet your specific requirements, ensuring that every summary is precisely what you need.

Learning and Improvement

Jenni AI is not just a tool, but a companion in your academic journey. Learn from the summarization process and improve your writing skills with every interaction.

Our Commitment to Academic Integrity

At Jenni AI, we uphold the principle of academic integrity with the utmost regard. Our tool is devised to assist, not to replace your original work.

How Does Jenni AI Summarizing Tool Work?

Navigating the Realm of Academic Writing Has Never Been Easier

Create Your Account

Sign up for a free Jenni AI account to embark on a simplified summarization journey.

Paste Your Text

Copy and paste the text you wish to summarize. Whether it's a research article, essay, or a complex thesis, Jenni AI is here to assist.

Generate Your Summary

Ask Jenni to summarize and watch as it employs advanced algorithms to distill the core essence of your text, presenting a coherent and concise summary.

Review and edit your summary. Jenni AI's interactive platform allows you to tweak and refine the summary to align perfectly with your academic objectives.

What Scholars Are Saying

Hear from our satisfied users and elevate your writing to the next level

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Frequently asked questions

How does jenni ai generate summaries, is jenni ai suitable for all academic fields.

How does the citation helper work?

Can I use Jenni AI for professional or non-academic writing?

How does Jenni AI help with writer’s block?

How does Jenni AI compare to other summarization tools?

Choosing the Right Academic Writing Companion

Get ready to make an informed decision and uncover the key reasons why Jenni AI is your ultimate tool for academic excellence.

Feature Featire

COMPETITORS

Academic Orientation

Designed with academic rigor in mind, ensuring your summaries uphold scholarly standards.

Often lack academic focus, potentially diluting the essence of scholarly texts.

Contextual Understanding

Employs advanced AI to grasp the context, ensuring summaries are meaningful and coherent.

May struggle with contextual understanding, leading to disjointed or misleading summaries.

Customization

Offers customization options to tailor summaries according to your specific needs and preferences.

Generic summarization often with limited customization, risking loss of critical information.

User-Friendly Interface

Intuitive interface makes summarization a breeze, enhancing the user experience.

Clunky interfaces can hinder the summarization process, making it less user-friendly.

Promotes an interactive learning environment, aiding in improving your summarization skills over time.

Merely provide summarization with no added value in terms of learning or skill enhancement.

Ready to Elevate Your Academic Writing?

Create your free Jenni AI account today and discover a new horizon of academic excellence!

Upload your PDF, EPUB, DOCX, ODT, or TXT file here.

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Go to the main ideas in your texts, summarize them « relevantly » in 1 Click

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Identify the important ideas and facts

To help you summarize and analyze your argumentative texts , your articles, your scientific texts, your history texts as well as your well-structured analyses work of art, Resoomer provides you with a "Summary text tool" : an educational tool that identifies and summarizes the important ideas and facts of your documents. Summarize in 1-Click, go to the main idea or skim through so that you can then interpret your texts quickly and develop your syntheses .

Who is Resoomer for ?

College students.

With Resoomer, summarize your Wikipedia pages in a matter of seconds for your productivity.

Identify the most important ideas and arguments of your texts so that you can prepare your lessons.

JOURNALISTS

If you prefer simplified information that summarizes the major events, then Resoomer is for you !

Identify and understand very fast the facts and the ideas of your texts that are part of the current news and events.

PRESS RELEASES

With the help of Resoomer, go to the main idea of your articles to write your arguments and critiques .

Save time, summarize your digital documents for a relevant and fast uptake of information.

Need to summarize your books' presentations ? Identify the arguments in a matter of seconds.

Too many documents ? Simplify your readings with Resoomer like a desktop tool.

Need to summarize your chapters ? With Resoomer, go to the heart of your ideas.

Identify your books' or your authors' ideas quickly. Summarize the most important main points.

From now on, create quick summaries of your artists' presentation and their artworks .

INSTITUTIONS

Identify the most important passages in texts that contains a lot of words for detailed analyses .

They Tweeted

Follow @resoomer_     Tweeter

SUMMARIZE YOUR ONLINE ARTICLES IN 1-CLICK

Download the extension for your browser

Surf online and save time when reading on internet ! Resoomer summarizes your articles in 500 words so that you can go to the main idea of your text.

Article Summarizer AcademicHelp

Tailor-made summary for your article.

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How to Summarize Articles with AI in 3 Clicks

AI is changing the way we interact with digital content, and HyperWrite’s Text Summarizer tool is no exception. It gives users the ability to summarize articles for a quick read – a feat that has many practical uses in both personal and professional capacities.

Did you know that the average American consumes about 34 GB of data and information every day?

It’s no surprise then that students, professionals, and curious hobbyists alike are looking for ways to efficiently process text content. When you start encountering dozens – if not hundreds – of articles, essays, and reports on a daily basis, reading and analyzing become exhausting. These materials are no doubt enriching – but they’re also overwhelming.

With just a few clicks, HyperWrite can give you an accurate overview of the key points of any article. It can condense thousands of words into a couple hundred without disregarding important information. This, as you might guess, is useful for a handful of reasons.

But before we get into those reasons, let me show you how you can use HyperWrite to summarize articles.

Step 1. Open HyperWrite & Access the Text Summarizer Tool

When you land on HyperWrite assistant’s homepage, you should see a box labeled Text Summarizer on the left, right below the Education category. 

Click on it to open the Text Summarizer tool.

Step 2. Paste Content or Link to Content

When you open the tool, you’ll see a text field labeled Text to Summarize.

You can paste either of the following:

• The actual text content you want summarized.

• A link to the page that contains the content you want summarized.

Step 3. Click the Submit Button 

Once you’ve pasted the text or link, click the blue Submit button.

HyperWrite should return a full summary of the provided content. 

Yes, it really is that easy.

Why Summarize Articles?

Summarizing articles is just one example of how AI is streamlining content creation. But aside from making it easier - and quicker - for us to consume text, here are the benefits of summarizing text using HyperWrite’s Text Summarizer tool:

• Quick Research. If your work or studies require a lot of research, HyperWrite’s Text Summarizer can lighten your load. Have it summarize various papers and articles so you can quickly read and review their key information. From this, you can then determine their relevance. This saves you from having to skim through dozens of pages of potentially unrelated material. 

And with the time you save, you can focus more on synthesizing the data and integrating it into cohesive, compelling content.  

• Speedy Decision-Making. AI-summarized content can also help streamline the decision-making process. Say you’re tasked with choosing a new internal system and need to read 15 proposals. It’ll take you maybe a few days to read just to comprehend them all. But if you can get AI to condense all 15 proposals, you can grasp the core ideas and make an informed decision within a day.
• Summarize Your Own Content. Providing a summary of your own content can give you a significant advantage online – especially in marketing. Your audience is already at risk of information overload due to the saturated online marketing. And, given our shrinking attention spans, many appreciate being able to quickly ascertain a piece's core message before committing to a deeper read.

HyperWrite can help summarize and replace certain sections of your writing that you feel are too long or too redundant. It can also craft a summary of your article and place it somewhere that’s easily accessible to your audience – like at the beginning of your post, for instance. This allows readers to instantly grasp your main points without needing to dive into the full text. They can then decide whether to explore your content in more detail based on your initial summary. 

By providing an AI-generated summary, you ensure your key points reach your audience, even if they don't consume the entire work. 

• Curate Better Content. Summarized articles are also practical in content curation. If you need to compile a list of the best online sources, for whatever topic, you can have HyperWrite summarize the potential candidates. This way, you can quickly read (and filter) dozens of options in a matter of minutes – versus the handful of hours you’d originally spend painstakingly reading through a hundred or so pages. 

By leveraging AI, you can curate top-notch content collections much more efficiently. 

• Personalize Messages. Most (if not all) businesses rely on client relationships. It’s why personalization is such a priority when it comes to marketing and messaging, and HyperWrite can help you with this.

Say you receive a lengthy report from a client, By having it summarized, you can (1) quickly gain a clear understanding of their key points, and (2) implement or reference these key points in your next correspondence. 

This efficiency saves you time and strengthens your relationship with the client. They will feel heard and valued when they learn that you thoroughly read and considered their work. 

HyperWrite Text Summarizer Tool Tips

When using HyperWrite to summarize content, here are some tips to help you get the best results.

• Only Provide Website Links. Currently, HyperWrite can’t access the contents of uploaded PDFs. For example, this report from the Congressional Research Service. It’s a link, yes, but it ends with .pdf. HyperWrite won’t be able to summarize it.

In these cases, try doing what HyperWrite suggests. Download the PDF and manually copy-paste its contents into the provided field.

• Website Links are Best for General Summaries. If you want a quick, general overview of an article, feel free to just paste the link to the content. HyperWrite will scan and analyze the whole page. This will provide a brief – but succinct – overview of the article, which means that key sections will get two to four sentences (at best) as the explanation. 

Again, this is fine if you just want the main ideas. But if you’d rather have a more detailed description of certain sections…

• Manually Copy-Paste Content for More Detailed Summaries. If you need more context in the summary, I recommend manually copying and pasting parts of the article at a time. This will give you a more focused and specific overview without needing to read the article in its entirety.

Compare the following summaries of the same section titled, “Fast Fashion and Its Environmental Impact” from this article . 

This is the summary based off of the article link:

And this is the summary of the same section, only with its specific contents pasted into the text field:

Although both are still quite short, the second offers a little more information than the first. And the information it adds feels substantial, too – not just filler information for the sake of lengthening the response. 

Save Yourself Time & Summarize Articles Using AI

Whether you're a student, professional, or engaged citizen, AI-generated summaries can save you countless hours of reading and note-taking. HyperWrite has the intelligence and intuition needed to correctly distill key points and nuances of textual content. You can trust that it will give you a reliable synopsis every time. 

And just because you use AI to summarize text, doesn’t necessarily mean you’re not going to consume the content in its entirety. You are always free to read the full article for additional detail and depth. But having the option to quickly grasp the main ideas without consuming the entire piece is incredibly valuable. This level of efficiency means you can focus your efforts on deeper analysis, synthesis, or other tasks that require your full attention. 

By leveraging HyperWrite to streamline content curation and consumption, you open up new possibilities for productivity and output optimization.

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How to Summarize Research Papers and articles using AI?

Shaurya Bedi

Research papers can be difficult due to their inherent complexity and technical nature. The volume of technical terms and jargon may be a barrier, making it more difficult for readers to understand the content.

Sometimes, you must feel overwhelmed, not knowing everything!

Furthermore, research papers usually delve into intricate theories, models, and statistical analyses, necessitating a solid foundational knowledge of the field to guarantee appropriate comprehension. What complicates the problem further is the size of the research papers and the need to assess the supplied data critically.

Understanding the insights from a research paper doesn't have to feel like deciphering a cryptic code. 

Thanks to the strides in artificial intelligence, distilling the essence of a research article has become remarkably straightforward. 

Whether you're a student crafting your paper, an individual eager to unravel the depths of a lengthy article, or someone intrigued by a complex subject, using AI study assistants to summarize article is a good idea and offers a simplified solution to grasp the core ideas without going through intricate scientific jargon.

Let's dive in to see how to summarize research article.

Overview of AI for research papers and articles

AI tools are like competent helpers for researchers. They're trained to understand language and do things like humans. AI makes things easier in  literature reviews  by processing information, finding important studies, and making quick summaries. 

It's a significant change, helping researchers read, analyze, and compare articles effortlessly. Using language skills, AI simultaneously spots vital ideas and findings from many articles, saving researchers time and effort. It's like a super helper for understanding lots of information in literature.

In simple terms, old summarizing methods can make mistakes, like getting things wrong or leaving out important stuff. But with the AI research paper summarizer, using super-intelligent algorithms, it can find and pull out the main points from papers without making mistakes. 

This makes sure the AI summarizer research paper is right on the money, making it an excellent tool for getting research paper summaries spot-on.

Benefits of Summarizing Research Papers and Articles Using AI

Using AI to summarize  research papers  and articles is a game-changer. It saves time, makes things easier to understand, and helps students and professionals quickly get the important stuff. Now, let's see how.

Time saved in information processing

Reading tons of articles the old-fashioned way takes forever! Researchers spend weeks or months sorting through articles, reading them, and picking out the important stuff. It's a big job, especially with lots of studies.

But guess what? AI makes it way faster and easier; with excellent tools and intelligent algorithms, AI can zip through many research articles and give short summaries. That means less time slogging through details and more time for researchers to dig into meaningful sections. 

Better understanding and retention

Keeping up with tons of new research is challenging. There's so much out there; staying on top of it all is hard.

But guess what? AI is here to help! With smart tools, it can check out new sections for you. That way, researchers can always be in the loop with the latest and greatest in their field. Thanks to article summarizer AI, keeping your brains filled with the newest information is more accessible.

Simplified information retrieval

AI gets the tricks in understanding language and learning from machines. It snags info from many places, organizes it, and finds the perfect answers for you, even if your search could be clearer.

Personalized and precise summaries

Incorporating AI tools into literature reviews decreases the likelihood of human errors in traditional methods or manual summarization. By doing so, these AI tools enhance the efficiency and accuracy of literature reviews, enabling researchers to access pertinent information while minimizing errors swiftly.

Comprehensive content insights

AI takes the heavy lifting out of content analysis. Instead of spending hours dissecting articles and papers, researchers can rely on AI to swiftly analyze and provide comprehensive insights. It digs into the details, identifies key themes, and helps researchers grasp the complete picture without exhaustive manual effort.

Streamlined decision-making

For research, quick decision-making is crucial. AI-powered summarization accelerates this process by distilling complex information into concise summaries. Researchers can make informed decisions faster, whether it's about the relevance of a paper, the direction of their own research, or the incorporation of new findings into their work.

Language and context adaptability

Different fields have their own jargon and nuances, and navigating and understanding diverse research papers is challenging. AI comes to the rescue with its ability to adapt to various languages and contexts. It breaks down barriers by providing summaries catering to the researcher's specific language and context, ensuring seamless information integration across disciplines.

Steps to Summarize Research Papers and Articles Using AI

Here are some steps you need to know if you are wondering how to summarize a research article using AI:

Selecting the Right AI-Powered Tool or Software

Choosing the right AI tool is the first step to efficient summarization. Researchers should explore and select a tool that aligns with their specific needs and the nature of their research. For example, tools like SummarizeBot or  IBM Watson  can be tailored to different domains, ensuring a customized and effective summarization process.

Inputting and processing text or documents

Once you select the tool, the next step involves feeding it with the relevant text or documents. Researchers can upload the research papers or articles they want to summarize. 

This input is then processed through the AI algorithms, which work their magic to extract critical information and generate concise summaries. It's a straightforward process that significantly reduces the manual effort required for traditional document analysis.

Adjusting settings and preferences

AI to summarize article often comes with customizable settings to tailor the summarization output. Researchers can adjust preferences based on factors such as the desired summary length or the level of detail required. 

For instance, settings can be adjusted to generate shorter summaries if a quick overview is needed. This flexibility allows researchers to fine-tune the summarization process according to their preferences, enhancing the tool's adaptability to individual needs.

Generating and reviewing summaries

The final step involves generating and reviewing the AI-generated summaries. Researchers receive concise overviews of the key points from the inputted documents. It's a time-saving approach that lets them quickly grasp the core ideas without delving into the entire content. 

After receiving the summaries, researchers can review and ensure the accuracy and relevance of the information. This step ensures that the AI-generated summaries align with their research goals and objectives.

Why Outsourcing AI-Driven Summarization to a Virtual Assistant is Beneficial

Virtual assistants possess expertise in utilizing various AI tools, ensuring optimal selection and configuration for effective summarization.

Let's see why it is beneficial:

Expertise in AI tools and applications

Virtual assistants are well-versed in utilizing a variety of AI tools and applications. Their expertise ensures optimal selection and configuration of tools, aligning with the specific requirements of the research. 

For example, a virtual assistant proficient in tools like OpenAI's GPT-3 can deliver advanced summarization capabilities, enhancing the overall quality of the process.

Quality control and accuracy

Virtual assistants bring a human touch to AI-driven summarization by overseeing quality control and accuracy. They can review and refine the AI-generated summaries, ensuring they meet the desired standards. This extra layer of human scrutiny enhances the reliability of the summarized content, addressing any potential inaccuracies that may arise during the automated process.

Handling large volumes of information

Dealing with a large volume of research papers can overwhelm individual researchers. Virtual assistants excel in managing such volumes efficiently. Their ability to process information at scale ensures that researchers can obtain summaries for numerous documents without compromising accuracy or speed.

Customization and personalization

Virtual assistants offer a personalized touch to the  AI to summarize article  process. They can adapt to researchers' preferences, adjusting settings and tailoring summaries to meet specific criteria. 

This customization ensures that the summarization output aligns with the unique needs and goals of the researcher, providing a tailored and efficient solution.

Focus on core research goals

Outsourcing summarization allows researchers to concentrate on their core research goals and activities, enhancing overall productivity and output.

Other AI-Related Tasks a Virtual Assistant Can Help You With

Virtual assistants are versatile and can assist with various AI-related tasks, including the following:

Data Analysis and Interpretation

Virtual assistants adept in data analytics can assist researchers in interpreting complex datasets. They streamline the analysis process, extracting meaningful insights and trends. 

For example, a virtual assistant skilled in tools like Tableau or Python can facilitate data-driven decision-making, enhancing the researcher's understanding of their findings.

AI Model Training and Optimization

Proficient in AI model training, virtual assistants contribute to refining and optimizing models for specific research needs. They can work with frameworks like TensorFlow or PyTorch, ensuring that the AI models align with the desired outcomes. This collaborative effort enhances the accuracy and performance of AI applications within the research domain.

Travel Planning

Beyond technical tasks, virtual assistants excel in practical aspects like travel planning. When you use AI algorithms, they can identify optimal travel routes, accommodations, and schedules. This capability is particularly beneficial for researchers attending conferences or fieldwork, ensuring seamless and efficient travel logistics.

Proofreading

Ensuring the quality of written content is crucial in research. Virtual assistants equipped with language processing capabilities can aid in proofreading, identifying grammatical errors, and enhancing the clarity of research papers. This attention to detail contributes to the overall professionalism and impact of the research output.

Content and Marketing Strategy

Virtual assistants with knowledge of AI in content creation and marketing can assist in developing strategies. They can analyze trends, identify target audiences, and recommend content optimization techniques. 

For example, a virtual assistant familiar with SEO principles can enhance the visibility of research outputs, contributing to a broader impact.

Why is Wishup the best place to hire a Virtual Assistant?

Choosing the right place for hiring a virtual assistant is crucial for optimal support.  

Wishup  stands out as the premier choice for several compelling reasons.

We hire only the top 0.1% of applicants

Wishup's stringent selection process ensures that only the top 1% of applicants are hired as virtual assistants. This commitment to excellence guarantees that clients receive assistance from highly skilled and competent professionals.

Onboarding in 24 hours

Time is of the essence, and Wishup recognizes this. With a swift onboarding process, clients can have a virtual assistant ready to support them within just 24 hours of initiating the hiring process.

Choose from US-based or Indian VAs

Wishup offers the flexibility to choose virtual assistants based on preferences, whether clients prefer US-based or Indian professionals. This versatility caters to diverse needs and ensures a seamless collaboration experience.

Pre-trained and upskilled professionals

Wishup's  virtual assistants  come pre-trained and continually upskilled to stay abreast of the latest trends and technologies. This dedication to ongoing professional development ensures that clients benefit from the most proficient and updated virtual assistant support.

Dedicated Account Manager at your service

Clients enjoy personalized assistance with a dedicated Account Manager from Wishup. This point of contact ensures effective communication, understanding of client needs, and seamless coordination for a more tailored and responsive virtual assistant experience.

Instant replacement policy

Wishup prioritizes client satisfaction with its instant replacement policy. In case of any concerns or preferences for change, clients can swiftly access a replacement, ensuring uninterrupted support and a hassle-free engagement.

Conclusion 

In conclusion, AI summarization tools revolutionize academic research by simplifying the literature review. Researchers benefit from staying current with field advancements and making well-informed decisions. 

Delegating the task to a Virtual Assistant enhances efficiency and precision, primarily through platforms like Wishup. The advantages are clear: time-saving, better understanding, and personalized summaries. 

Ready to experience these benefits? Take the next step by  scheduling a free consultation  or emailing [email protected] . Elevate your research game with AI and virtual assistance – your academic journey just got much smoother!

AI to summarize article: Frequently Asked Questions 

Can i use ai to summarize articles.

Yes, AI excels at summarizing articles, offering a quick and efficient way to distill key information from lengthy content.

Can ChatGPT summarize articles?

Yes, ChatGPT, powered by OpenAI, is adept at summarizing articles. Its language understanding capabilities make it a valuable tool for concise content extraction.

Can OpenAI summarize an article?

Yes, indeed. OpenAI provides powerful models like GPT-3, which can effectively summarize articles, offering a comprehensive overview of the content.

Which AI is good for summarizing?

Several AI models, including GPT-3, BERT, and SummarizeBot, excel in summarization. The choice relies on your specific requirements, such as language nuances, length preferences, and application context.

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X4 2024 Strategy & Research Showcase: Introducing the future of insights generation

At X4 ® 2024, we showcased how Qualtrics AI ® enables teams to quickly summarize, analyze, and elevate qualitative and quantitative data, transforming the way research is done and amplifying business outcomes at scale.

Customers tell us they’ve been flooded with potential AI solutions and specialist suppliers over the last year. AI is profoundly enhancing their efficiency and effectiveness, but with technology advancing so fast it’s hard to know what’s hype versus product truth. Meanwhile, tighter budgets make it more critical than ever to choose tools and suppliers wisely.

To help our customers conduct deep, powerful research, without breaking the bank, we’ve enhanced the XM ® product suites they know and trust with purpose-built, integrated machine intelligence. These features improve efficiency, erase data silos, and add new dimensions of scalability.

If your market research function is ready to go from a bolted-together mish-mash of tools, agencies, and third parties to a single, unified source of knowledge that generates insights on an unprecedented scale, then we think you’re going to love the new Strategy and Research Suite TM .

Here’s a look at what we unveiled at X4.

AI-powered, centralized data storage and semantic search

Researc Hub takes our single source of knowledge principle to the next level. It’s an AI powered repository of owned research spanning all of your total research knowledge capital, from customer feedback to brand studies to product insights.

Research Hub liberates your mothballed data and combines it with what’s current, so instead of commissioning a new study, you can find the answers you need using information you already own. It unites quantitative and qualitative research from all of your audiences to deliver maximum ROI from your research activities past and present.

Research Hub goes far beyond basic keywords. It uses Qualtrics-tailored AI to understand the intent and context of your search and deliver more meaningful, useful results. It does this across millions of data points, freeing your time and energy for the work that only human minds can do.

You can use Research Hub to collate and curate data collections that are relevant to your projects, then share them with team members. In the future, we’ll add functionality that lets you combine data from across multiple studies, yielding brand new insights.

Research Hub is live now with selected preview customers.

New ways to connect with consumers and get effortless insights, fast

Panels are now easier to integrate. Our customers can now connect to a third party online panel from within Qualtrics, choosing from a network of 200+ partners. You can create your own panel or select from pre-configured panel templates - whatever works best to pinpoint your target audience.

Each panel respondent interacts through our Panelist Portal app , which puts you in control of their experience. Your team can easily customize which studies participants see and even send targeted messages to segments of your audience.

Online panels are ideal for diving straight in and getting results. Where your panel requirements are more complex, our expert Research Services team is on-hand to support you.

A new generation of research features and AI tools

AI really takes the brakes off scalability, allowing you to process high volumes of qualitative data at high speed. Here are just a few of the ways our AI tools save you time and money. Many of these products are live right now or in preview with our customers.

Coming soon:

• Automated video summaries parse experience data from your panels and in-depth interviews and synthesize it into a clear summary of trends and insights. They identify up to five themes across your response data, and tie them to quotes within the transcript that exemplify the point in the respondent’s own words.
• Video transcripts are automatic, with up to 10 speakers identified, and they’re broken up into chapters for easy navigation. Naturally, sentiment and topic analysis are at work, showing up in the transcript with helpful highlights and color coding.
• Interview scheduling tools minimize the admin around online in-depth interviews. A survey screens potential participants, then offers them a time-slot when interviewers are free. They’ll get a link to join a Zoom call, hosted within the Qualtrics platform. This feature is now in preview with selected customers.
• Using our highlight reels builder , you can create video clip summaries that capture the essence of your unmoderated user testing data and tell a compelling story when you present your results.
• What if you could have a conversation with all of your respondents at once - and get coherent responses? With conversational qualitative analytics you can delve into your qualitative data using interactive dialogue to find patterns and trends. Like any good conversation, it’s effortless and engaging.
• Survey response clarity puts AI to work improving the quality of your survey data, helping you avoid having to re-run studies or rely on flawed data when making important business decisions.
• Adaptive survey follow-up reacts to your respondents’ answers, adaptively requesting additional information to add layers of meaning and context.
• All of your data forms part of a bigger picture, so we developed Dashboard Summarization to keep track of the most critical insights from across your data universe and deliver them when you need them. Less clicking through dashboards, more taking action.
• Why write your own report? Executive report generation automatically summarizes critical insights from your dashboards and presents them in a clear, actionable format.

The next generation of digital UX research

We’re bringing UX testing tools and capabilities together into a single, cost-effective product - one that sits on the same platform as the rest of your research. It unites UX essentials like surveys, card sorting, tree testing and video analysis, and methodologies like moderated and unmoderated user testing. And as before, these tools are elevated with AI functionality .

For example, with our unmoderated testing you can set up a task flow for users to complete, inviting them to record themselves. They will put your online prototype through its paces while generating audio and video data for you to transform into insights using AI tools.

Moderated testing with moderator and scheduling tools is currently in preview, and everything else is live right now for Qualtrics customers.

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Artificial intelligence in strategy

Can machines automate strategy development? The short answer is no. However, there are numerous aspects of strategists’ work where AI and advanced analytics tools can already bring enormous value. Yuval Atsmon is a senior partner who leads the new McKinsey Center for Strategy Innovation, which studies ways new technologies can augment the timeless principles of strategy. In this episode of the Inside the Strategy Room podcast, he explains how artificial intelligence is already transforming strategy and what’s on the horizon. This is an edited transcript of the discussion. For more conversations on the strategy issues that matter, follow the series on your preferred podcast platform .

Joanna Pachner: What does artificial intelligence mean in the context of strategy?

Yuval Atsmon: When people talk about artificial intelligence, they include everything to do with analytics, automation, and data analysis. Marvin Minsky, the pioneer of artificial intelligence research in the 1960s, talked about AI as a “suitcase word”—a term into which you can stuff whatever you want—and that still seems to be the case. We are comfortable with that because we think companies should use all the capabilities of more traditional analysis while increasing automation in strategy that can free up management or analyst time and, gradually, introducing tools that can augment human thinking.

Joanna Pachner: AI has been embraced by many business functions, but strategy seems to be largely immune to its charms. Why do you think that is?

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Yuval Atsmon: You’re right about the limited adoption. Only 7 percent of respondents to our survey about the use of AI say they use it in strategy or even financial planning, whereas in areas like marketing, supply chain, and service operations, it’s 25 or 30 percent. One reason adoption is lagging is that strategy is one of the most integrative conceptual practices. When executives think about strategy automation, many are looking too far ahead—at AI capabilities that would decide, in place of the business leader, what the right strategy is. They are missing opportunities to use AI in the building blocks of strategy that could significantly improve outcomes.

I like to use the analogy to virtual assistants. Many of us use Alexa or Siri but very few people use these tools to do more than dictate a text message or shut off the lights. We don’t feel comfortable with the technology’s ability to understand the context in more sophisticated applications. AI in strategy is similar: it’s hard for AI to know everything an executive knows, but it can help executives with certain tasks.

When executives think about strategy automation, many are looking too far ahead—at AI deciding the right strategy. They are missing opportunities to use AI in the building blocks of strategy.

Joanna Pachner: What kind of tasks can AI help strategists execute today?

Yuval Atsmon: We talk about six stages of AI development. The earliest is simple analytics, which we refer to as descriptive intelligence. Companies use dashboards for competitive analysis or to study performance in different parts of the business that are automatically updated. Some have interactive capabilities for refinement and testing.

The second level is diagnostic intelligence, which is the ability to look backward at the business and understand root causes and drivers of performance. The level after that is predictive intelligence: being able to anticipate certain scenarios or options and the value of things in the future based on momentum from the past as well as signals picked in the market. Both diagnostics and prediction are areas that AI can greatly improve today. The tools can augment executives’ analysis and become areas where you develop capabilities. For example, on diagnostic intelligence, you can organize your portfolio into segments to understand granularly where performance is coming from and do it in a much more continuous way than analysts could. You can try 20 different ways in an hour versus deploying one hundred analysts to tackle the problem.

Predictive AI is both more difficult and more risky. Executives shouldn’t fully rely on predictive AI, but it provides another systematic viewpoint in the room. Because strategic decisions have significant consequences, a key consideration is to use AI transparently in the sense of understanding why it is making a certain prediction and what extrapolations it is making from which information. You can then assess if you trust the prediction or not. You can even use AI to track the evolution of the assumptions for that prediction.

Those are the levels available today. The next three levels will take time to develop. There are some early examples of AI advising actions for executives’ consideration that would be value-creating based on the analysis. From there, you go to delegating certain decision authority to AI, with constraints and supervision. Eventually, there is the point where fully autonomous AI analyzes and decides with no human interaction.

Because strategic decisions have significant consequences, you need to understand why AI is making a certain prediction and what extrapolations it’s making from which information.

Joanna Pachner: What kind of businesses or industries could gain the greatest benefits from embracing AI at its current level of sophistication?

Yuval Atsmon: Every business probably has some opportunity to use AI more than it does today. The first thing to look at is the availability of data. Do you have performance data that can be organized in a systematic way? Companies that have deep data on their portfolios down to business line, SKU, inventory, and raw ingredients have the biggest opportunities to use machines to gain granular insights that humans could not.

Companies whose strategies rely on a few big decisions with limited data would get less from AI. Likewise, those facing a lot of volatility and vulnerability to external events would benefit less than companies with controlled and systematic portfolios, although they could deploy AI to better predict those external events and identify what they can and cannot control.

Third, the velocity of decisions matters. Most companies develop strategies every three to five years, which then become annual budgets. If you think about strategy in that way, the role of AI is relatively limited other than potentially accelerating analyses that are inputs into the strategy. However, some companies regularly revisit big decisions they made based on assumptions about the world that may have since changed, affecting the projected ROI of initiatives. Such shifts would affect how you deploy talent and executive time, how you spend money and focus sales efforts, and AI can be valuable in guiding that. The value of AI is even bigger when you can make decisions close to the time of deploying resources, because AI can signal that your previous assumptions have changed from when you made your plan.

Joanna Pachner: Can you provide any examples of companies employing AI to address specific strategic challenges?

Yuval Atsmon: Some of the most innovative users of AI, not coincidentally, are AI- and digital-native companies. Some of these companies have seen massive benefits from AI and have increased its usage in other areas of the business. One mobility player adjusts its financial planning based on pricing patterns it observes in the market. Its business has relatively high flexibility to demand but less so to supply, so the company uses AI to continuously signal back when pricing dynamics are trending in a way that would affect profitability or where demand is rising. This allows the company to quickly react to create more capacity because its profitability is highly sensitive to keeping demand and supply in equilibrium.

Joanna Pachner: Given how quickly things change today, doesn’t AI seem to be more a tactical than a strategic tool, providing time-sensitive input on isolated elements of strategy?

Yuval Atsmon: It’s interesting that you make the distinction between strategic and tactical. Of course, every decision can be broken down into smaller ones, and where AI can be affordably used in strategy today is for building blocks of the strategy. It might feel tactical, but it can make a massive difference. One of the world’s leading investment firms, for example, has started to use AI to scan for certain patterns rather than scanning individual companies directly. AI looks for consumer mobile usage that suggests a company’s technology is catching on quickly, giving the firm an opportunity to invest in that company before others do. That created a significant strategic edge for them, even though the tool itself may be relatively tactical.

Joanna Pachner: McKinsey has written a lot about cognitive biases  and social dynamics that can skew decision making. Can AI help with these challenges?

Yuval Atsmon: When we talk to executives about using AI in strategy development, the first reaction we get is, “Those are really big decisions; what if AI gets them wrong?” The first answer is that humans also get them wrong—a lot. [Amos] Tversky, [Daniel] Kahneman, and others have proven that some of those errors are systemic, observable, and predictable. The first thing AI can do is spot situations likely to give rise to biases. For example, imagine that AI is listening in on a strategy session where the CEO proposes something and everyone says “Aye” without debate and discussion. AI could inform the room, “We might have a sunflower bias here,” which could trigger more conversation and remind the CEO that it’s in their own interest to encourage some devil’s advocacy.

We also often see confirmation bias, where people focus their analysis on proving the wisdom of what they already want to do, as opposed to looking for a fact-based reality. Just having AI perform a default analysis that doesn’t aim to satisfy the boss is useful, and the team can then try to understand why that is different than the management hypothesis, triggering a much richer debate.

In terms of social dynamics, agency problems can create conflicts of interest. Every business unit [BU] leader thinks that their BU should get the most resources and will deliver the most value, or at least they feel they should advocate for their business. AI provides a neutral way based on systematic data to manage those debates. It’s also useful for executives with decision authority, since we all know that short-term pressures and the need to make the quarterly and annual numbers lead people to make different decisions on the 31st of December than they do on January 1st or October 1st. Like the story of Ulysses and the sirens, you can use AI to remind you that you wanted something different three months earlier. The CEO still decides; AI can just provide that extra nudge.

Joanna Pachner: It’s like you have Spock next to you, who is dispassionate and purely analytical.

Yuval Atsmon: That is not a bad analogy—for Star Trek fans anyway.

Joanna Pachner: Do you have a favorite application of AI in strategy?

Yuval Atsmon: I have worked a lot on resource allocation, and one of the challenges, which we call the hockey stick phenomenon, is that executives are always overly optimistic about what will happen. They know that resource allocation will inevitably be defined by what you believe about the future, not necessarily by past performance. AI can provide an objective prediction of performance starting from a default momentum case: based on everything that happened in the past and some indicators about the future, what is the forecast of performance if we do nothing? This is before we say, “But I will hire these people and develop this new product and improve my marketing”— things that every executive thinks will help them overdeliver relative to the past. The neutral momentum case, which AI can calculate in a cold, Spock-like manner, can change the dynamics of the resource allocation discussion. It’s a form of predictive intelligence accessible today and while it’s not meant to be definitive, it provides a basis for better decisions.

Joanna Pachner: Do you see access to technology talent as one of the obstacles to the adoption of AI in strategy, especially at large companies?

Yuval Atsmon: I would make a distinction. If you mean machine-learning and data science talent or software engineers who build the digital tools, they are definitely not easy to get. However, companies can increasingly use platforms that provide access to AI tools and require less from individual companies. Also, this domain of strategy is exciting—it’s cutting-edge, so it’s probably easier to get technology talent for that than it might be for manufacturing work.

The bigger challenge, ironically, is finding strategists or people with business expertise to contribute to the effort. You will not solve strategy problems with AI without the involvement of people who understand the customer experience and what you are trying to achieve. Those who know best, like senior executives, don’t have time to be product managers for the AI team. An even bigger constraint is that, in some cases, you are asking people to get involved in an initiative that may make their jobs less important. There could be plenty of opportunities for incorpo­rating AI into existing jobs, but it’s something companies need to reflect on. The best approach may be to create a digital factory where a different team tests and builds AI applications, with oversight from senior stakeholders.

The big challenge is finding strategists to contribute to the AI effort. You are asking people to get involved in an initiative that may make their jobs less important.

Joanna Pachner: Do you think this worry about job security and the potential that AI will automate strategy is realistic?

Yuval Atsmon: The question of whether AI will replace human judgment and put humanity out of its job is a big one that I would leave for other experts.

The pertinent question is shorter-term automation. Because of its complexity, strategy would be one of the later domains to be affected by automation, but we are seeing it in many other domains. However, the trend for more than two hundred years has been that automation creates new jobs, although ones requiring different skills. That doesn’t take away the fear some people have of a machine exposing their mistakes or doing their job better than they do it.

Joanna Pachner: We recently published an article about strategic courage in an age of volatility  that talked about three types of edge business leaders need to develop. One of them is an edge in insights. Do you think AI has a role to play in furnishing a proprietary insight edge?

Yuval Atsmon: One of the challenges most strategists face is the overwhelming complexity of the world we operate in—the number of unknowns, the information overload. At one level, it may seem that AI will provide another layer of complexity. In reality, it can be a sharp knife that cuts through some of the clutter. The question to ask is, Can AI simplify my life by giving me sharper, more timely insights more easily?

Joanna Pachner: You have been working in strategy for a long time. What sparked your interest in exploring this intersection of strategy and new technology?

Yuval Atsmon: I have always been intrigued by things at the boundaries of what seems possible. Science fiction writer Arthur C. Clarke’s second law is that to discover the limits of the possible, you have to venture a little past them into the impossible, and I find that particularly alluring in this arena.

AI in strategy is in very nascent stages but could be very consequential for companies and for the profession. For a top executive, strategic decisions are the biggest way to influence the business, other than maybe building the top team, and it is amazing how little technology is leveraged in that process today. It’s conceivable that competitive advantage will increasingly rest in having executives who know how to apply AI well. In some domains, like investment, that is already happening, and the difference in returns can be staggering. I find helping companies be part of that evolution very exciting.

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Gemini breaks new ground with a faster model, longer context, AI agents and more

May 14, 2024

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We’re introducing a series of updates across the Gemini family of models, including the new 1.5 Flash, our lightweight model for speed and efficiency, and Project Astra, our vision for the future of AI assistants.

In December, we launched our first natively multimodal model Gemini 1.0 in three sizes: Ultra, Pro and Nano. Just a few months later we released 1.5 Pro , with enhanced performance and a breakthrough long context window of 1 million tokens.

Developers and enterprise customers have been putting 1.5 Pro to use in incredible ways and finding its long context window, multimodal reasoning capabilities and impressive overall performance incredibly useful.

We know from user feedback that some applications need lower latency and a lower cost to serve. This inspired us to keep innovating, so today, we’re introducing Gemini 1.5 Flash : a model that’s lighter-weight than 1.5 Pro, and designed to be fast and efficient to serve at scale.

Both 1.5 Pro and 1.5 Flash are available in public preview with a 1 million token context window in Google AI Studio and Vertex AI . And now, 1.5 Pro is also available with a 2 million token context window via waitlist to developers using the API and to Google Cloud customers .

We’re also introducing updates across the Gemini family of models, announcing our next generation of open models, Gemma 2 , and sharing progress on the future of AI assistants, with Project Astra .

Context lengths of leading foundation models compared with Gemini 1.5’s 2 million token capability

Gemini family of model updates

The new 1.5 flash, optimized for speed and efficiency.

1.5 Flash is the newest addition to the Gemini model family and the fastest Gemini model served in the API . It’s optimized for high-volume, high-frequency tasks at scale, is more cost-efficient to serve and features our breakthrough long context window.

While it’s a lighter weight model than 1.5 Pro, it’s highly capable of multimodal reasoning across vast amounts of information and delivers impressive quality for its size.

The new Gemini 1.5 Flash model is optimized for speed and efficiency, is highly capable of multimodal reasoning and features our breakthrough long context window.

1.5 Flash excels at summarization, chat applications, image and video captioning, data extraction from long documents and tables, and more. This is because it’s been trained by 1.5 Pro through a process called “distillation,” where the most essential knowledge and skills from a larger model are transferred to a smaller, more efficient model.

Read more about 1.5 Flash in our updated Gemini 1.5 technical report , on the Gemini technology page , and learn about 1.5 Flash’s availability and pricing .

Significantly improving 1.5 Pro

Over the last few months, we’ve significantly improved 1.5 Pro, our best model for general performance across a wide range of tasks.

Beyond extending its context window to 2 million tokens, we’ve enhanced its code generation, logical reasoning and planning, multi-turn conversation, and audio and image understanding through data and algorithmic advances. We see strong improvements on public and internal benchmarks for each of these tasks.

1.5 Pro can now follow increasingly complex and nuanced instructions, including ones that specify product-level behavior involving role, format and style. We’ve improved control over the model’s responses for specific use cases, like crafting the persona and response style of a chat agent or automating workflows through multiple function calls. And we’ve enabled users to steer model behavior by setting system instructions .

We added audio understanding in the Gemini API and Google AI Studio , so 1.5 Pro can now reason across image and audio for videos uploaded in Google AI Studio. And we’re now integrating 1.5 Pro into Google products, including Gemini Advanced and in Workspace apps. Read more about 1.5 Pro in our updated Gemini 1.5 technical report and on the Gemini technology page .

Gemini Nano understands multimodal inputs

Gemini Nano is expanding beyond text-only inputs to include images as well. Starting with Pixel, applications using Gemini Nano with Multimodality will be able to understand the world the way people do — not just through text, but also through sight, sound and spoken language.

Read more about Gemini 1.0 Nano on Android .

Next generation of open models

Today, we’re also sharing a series of updates to Gemma , our family of open models built from the same research and technology used to create the Gemini models.

We’re announcing Gemma 2 , our next generation of open models for responsible AI innovation. Gemma 2 has a new architecture designed for breakthrough performance and efficiency, and will be available in new sizes.

The Gemma family is also expanding with PaliGemma , our first vision-language model inspired by PaLI-3 . And we’ve upgraded our Responsible Generative AI Toolkit with LLM Comparator for evaluating the quality of model responses.

Read more on the Developer blog .

Progress developing universal AI agents

As part of Google DeepMind’s mission to build AI responsibly to benefit humanity, we’ve always wanted to develop universal AI agents that can be helpful in everyday life. That’s why today, we’re sharing our progress in building the future of AI assistants with Project Astra (advanced seeing and talking responsive agent).

To be truly useful, an agent needs to understand and respond to the complex and dynamic world just like people do — and take in and remember what it sees and hears to understand context and take action. It also needs to be proactive, teachable and personal, so users can talk to it naturally and without lag or delay.

While we’ve made incredible progress developing AI systems that can understand multimodal information, getting response time down to something conversational is a difficult engineering challenge. Over the past few years, we've been working to improve how our models perceive, reason and converse to make the pace and quality of interaction feel more natural.

A two-part demo of Project Astra, our vision for the future of AI assistants. Each part was captured in a single take, in real time.

Building on Gemini, we’ve developed prototype agents that can process information faster by continuously encoding video frames, combining the video and speech input into a timeline of events, and caching this information for efficient recall.

By leveraging our leading speech models, we also enhanced how they sound, giving the agents a wider range of intonations. These agents can better understand the context they’re being used in, and respond quickly, in conversation.

With technology like this, it’s easy to envision a future where people could have an expert AI assistant by their side, through a phone or glasses. And some of these capabilities are coming to Google products, like the Gemini app and web experience , later this year.

Continued exploration

We’ve made incredible progress so far with our family of Gemini models, and we’re always striving to advance the state-of-the-art even further. By investing in a relentless production line of innovation, we’re able to explore new ideas at the frontier, while also unlocking the possibility of new and exciting Gemini use cases.

Learn more about Gemini and its capabilities .

Here’s a look at everything we announced at Google I/O 2024.

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Microsoft and LinkedIn release the 2024 Work Trend Index on the state of AI at work

May 8, 2024 | Microsoft Source

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New data shows most employees are experimenting with AI and growing their skills — now, the job of every leader is to channel this experimentation into business impact

REDMOND, Wash. — May 8, 2024 — On Wednesday, Microsoft Corp. and LinkedIn released the 2024 Work Trend Index, a joint report on the state of AI at work titled, “ AI at work is here. Now comes the hard part .” The research — based on a survey of 31,000 people across 31 countries, labor and hiring trends on LinkedIn, trillions of Microsoft 365 productivity signals, and research with Fortune 500 customers — shows how, just one year in, AI is influencing the way people work, lead and hire around the world. Microsoft also announced new capabilities in Copilot for Microsoft 365, and LinkedIn made free more than 50 learning courses for LinkedIn Premium subscribers designed to empower professionals at all levels to advance their AI aptitude. [1]

The data is in: 2024 is the year AI at work gets real. Use of generative AI at work has nearly doubled in the past six months. LinkedIn is seeing a significant increase in professionals adding AI skills to their profiles, and most leaders say they wouldn’t hire someone without AI skills. But with many leaders worried their company lacks an AI vision, and employees bringing their own AI tools to work, leaders have reached the hard part of any tech disruption: moving from experimentation to tangible business impact.

“AI is democratizing expertise across the workforce,” said Satya Nadella, chairman and CEO, Microsoft. “Our latest research highlights the opportunity for every organization to apply this technology to drive better decision-making, collaboration — and ultimately business outcomes.”

The report highlights three insights every leader and professional needs to know about AI’s impact on work and the labor market in the year ahead:

• Employees want AI at work — and won’t wait for companies to catch up: Seventy-five percent of knowledge workers now use AI at work. Employees, many of them struggling to keep up with the pace and volume of work, say AI saves time, boosts creativity, and allows them to focus on their most important work. But although 79% of leaders agree AI adoption is critical to remain competitive, 59% worry about quantifying the productivity gains of AI and 60% say their company lacks a vision and plan to implement it. So, employees are taking things into their own hands. 78% of AI users are bringing their own tools to work — Bring Your Own AI (BYOAI) — missing out on the benefits that come from strategic AI use at scale and putting company data at risk. The opportunity for every leader is to channel this momentum into business impact at scale.
• For employees, AI raises the bar and breaks the career ceiling : Although AI and job loss are top of mind for many, the data offers a more nuanced view — one with a hidden talent shortage, employees eyeing a career change, and massive opportunity for those willing to skill up on AI. A majority of leaders (55%) are concerned about having enough talent to fill roles this year with leaders in cybersecurity, engineering and creative design feeling the pinch most. And professionals are looking. Forty-six percent across the globe are considering quitting in the year ahead — an all-time high since the Great Reshuffle of 2021. A separate LinkedIn study found U.S. numbers to be even higher with 85% eyeing career moves. Although two-thirds of leaders (66%) wouldn’t hire someone without AI skills, only 39% of users have received AI training from their company and only 25% of companies expect to offer it this year. So, professionals are skilling up on their own. As of late last year, we’ve seen a 142x increase in LinkedIn members adding AI skills like Copilot and ChatGPT to their profiles and a 160% increase in nontechnical professionals using LinkedIn Learning courses to build their AI aptitude. In a world where AI mentions in LinkedIn job posts drive a 17% bump in application growth, it’s a two-way street: Organizations that empower employees with AI tools and training will attract the best talent, and professionals who skill up will have the edge.
• The rise of the AI power user — and what they reveal about the future: Four types of AI users emerged in the research — from skeptics who rarely use AI to power users who use it extensively. Compared to skeptics, AI power users have reoriented their workdays in fundamental ways, reimagining business processes and saving over 30 minutes per day. Over 90% of power users say AI makes their overwhelming workload more manageable and their work more enjoyable, but they aren’t doing it on their own. These users are 61% more likely to have heard from their CEO on the importance of using generative AI at work, 53% more likely to receive encouragement from leadership to consider how AI can transform their function, and 35% more likely to receive tailored AI training for their specific role or function.

“AI is redefining work, and it’s clear we need new playbooks,” said Ryan Roslansky, CEO of LinkedIn. “It’s the leaders who build for agility instead of stability and invest in skill building internally that will give their organizations a competitive advantage and create more efficient, engaged and equitable teams.”

Microsoft is also announcing Copilot for Microsoft 365 innovations to help people get started with AI.

• A new auto-complete feature is coming to the prompt box. Copilot will now help people who have the start of a prompt by offering to complete it, suggesting a more detailed prompt based on what is being typed, to deliver a stronger result.
• When people know what they want, but don’t have the right words, the new rewrite feature in Copilot will turn a basic prompt into a rich one with the click of a button.
• Catch Up is a new chat interface that surfaces personal insights based on recent activity and provides responsive recommendations. For example, Copilot will flag an upcoming meeting and provide relevant information to help participants prepare.
• And new capabilities in Copilot Lab will enable people to create, publish and manage prompts tailored to them, and to their specific team, role and function.

These features will be available in the coming months.

LinkedIn is also providing AI tools to enable you to stay ahead in your career.

• For upskilling. LinkedIn Learning offers more than 22,000 courses, including more than 600 AI courses, to build aptitude in generative AI , empower your teams to make GAI-powered business investments , or simply to keep your skills sharp. This includes over 50 new AI learning courses to empower professionals at all skill levels. New courses are free and available for everyone to use through July 8. Additionally, our new AI-Powered Coaching in LinkedIn Learning helps learners find the content they need to grow their skills faster, with greater personalization and guided conversational learning.
• For career advancement. For LinkedIn Premium subscribers, AI-powered personalized takeaways on LinkedIn Feed on posts, articles or videos (from the article to the commentary) can also help you daily in your career with personalized, relevant insights and opportunities including ideas and actions you can take.
• For job seeking. And if you’re looking to change your job, we’re also making it easier and faster to find your ideal job. With new AI-powered tools, you can now assess your fit for a role in seconds based on your experience and skills, get advice on how to stand out, and subscribers will also see nudges, for example suggestions for skills to build, professionals in your network to reach out to, and more . So far, more than 90% of subscribers who have access shared it’s been helpful in job search.

To learn more, visit the Official Microsoft Blog , the 2024 Work Trend Index Report , and head to LinkedIn to hear more from the company’s Chief Economist, Karin Kimbrough.

About Microsoft

Microsoft (Nasdaq “MSFT” @microsoft) creates platforms and tools powered by AI to deliver innovative solutions that meet the evolving needs of our customers. The technology company is committed to making AI available broadly and doing so responsibly, with a mission to empower every person and every organization on the planet to achieve more.

About LinkedIn

LinkedIn connects the world’s professionals to make them more productive and successful and transforms the way companies hire, learn, market and sell. Our vision is to create economic opportunity for every member of the global workforce through the ongoing development of the world’s first Economic Graph. LinkedIn has more than 1 billion members and has offices around the globe.

For more information, press only:

Microsoft Media Relations, WE Communications, (425) 638-7777,  [email protected]

LinkedIn Press Line, [email protected]

Note to editors:  For more information, news and perspectives from Microsoft, please visit the Microsoft News Center at  http://news.microsoft.com . Web links, telephone numbers and titles were correct at time of publication but may have changed. For additional assistance, journalists and analysts may contact Microsoft’s Rapid Response Team or other appropriate contacts listed at  https://news.microsoft.com/microsoft-public-relations-contacts .

[1] Courses will be available for free until July 8, 2024.

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Proceedings of the Bridge2AI Voice Symposium 2024

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This Research Topic has been developed in collaboration with Bridge2AI Voice 2024 . Submissions to this Research Topic are limited to the attendees of the 2024 Bridge2AI Voice Symposium. This Research Topic represents the proceedings of the symposium. "The Bridge2AI Voice Consortium aims to integrate the use of voice as biomarker of health in clinical care to assist in screening, diagnosis, and treatment of a broad range of diseases." (Bridge2AI-Voice, 2024) You can read and download the symposium abstracts here .

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