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  2. TL;DR: This AI summarizes research papers so you don ... - AOL

    www.aol.com/tl-dr-ai-summarizes-research...

    Thankfully, researchers at the Allen Institute for Artificial Intelligence have developed a new model to summarize text from scientific papers, and present it in a few sentences in the form of TL ...

  3. Semantic Scholar - Wikipedia

    en.wikipedia.org/wiki/Semantic_Scholar

    Semantic Scholar is a research tool for scientific literature. It is developed at the Allen Institute for AI and was publicly released in November 2015. [2] Semantic Scholar uses modern techniques in natural language processing to support the research process, for example by providing automatically generated summaries of scholarly papers. [3]

  4. Automatic summarization - Wikipedia

    en.wikipedia.org/wiki/Automatic_summarization

    The Reddit bot "autotldr", [31] created in 2011 summarizes news articles in the comment-section of reddit posts. It was found to be very useful by the reddit community which upvoted its summaries hundreds of thousands of times. [32] The name is reference to TL;DR − Internet slang for "too long; didn't read". [33] [34]

  5. NotebookLM - Wikipedia

    en.wikipedia.org/wiki/NotebookLM

    An example of an AI-generated conversation by NotebookLM (January 2025) NotebookLM (Google NotebookLM) is a research and note-taking online tool developed by Google Labs that uses artificial intelligence (AI), specifically Google Gemini , to assist users in interacting with their documents.

  6. Artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence

    These agents can interact with users, their environment, or other agents. AI agents are used in various applications, including virtual assistants, chatbots, autonomous vehicles, game-playing systems, and industrial robotics. AI agents operate within the constraints of their programming, available computational resources, and hardware limitations.

  7. Applications of artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Applications_of_artificial...

    [citation needed] One study described the biological component as a limitation of AI stating that "as long as the biological system cannot be understood, formalized, and imitated, we will not be able to develop technologies that can mimic it" and that, even if it were understood, this does not necessarily mean there will be "a technological ...

  8. Multi-document summarization - Wikipedia

    en.wikipedia.org/wiki/Multi-document_summarization

    Multi-document summarization is an automatic procedure aimed at extraction of information from multiple texts written about the same topic. The resulting summary report allows individual users, such as professional information consumers, to quickly familiarize themselves with information contained in a large cluster of documents.

  9. Notion (productivity software) - Wikipedia

    en.wikipedia.org/wiki/Notion_(productivity_software)

    Notion AI uses artificial intelligence, which enables prediction of some results, text generation and solving arithmetic. It will also work with other datasets in response to an input by the user of the AI. This AI can automate some tasks and assist the user to make a paragraph or outline from a line of text.

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