- 188
- 51 953
Michigan Institute for Data Science
United States
Registrace 23. 12. 2019
GenAI Tutorial Series: From Search to Synthesis: AI Tools for Literature Discovery and Summarization
Generative AI Tutorial Series: "From Search to Synthesis: AI Tools for Literature Discovery and Summarization"
00:00 Introduction
01:01 Considerations
30:27 Literature Discovery
48:29 Summarizing and Synthesizing
01:27:06 Guidelines & Recommendations
This session introduced generative AI tools that can assist you with literature discovery, summarization, and synthesis. Featured tools include Open AI’s chatGPT, UMGPT, Anthropic’s Claude, ResearchRabbit, and more.
Instructors:
- Jamie Niehof, Engineering Librarian
- Tyler Nix, Associate Director, Research & Informatics, Taubman Health Sciences Library
- Sarah Barbrow, Assistant Director, Engineering Librarian
Link to slides: docs.google.com/presentation/d/1H0TEFpXxwEenPpZ_a_P9gLLObES9AMYoBFm-fd6lJvM/edit?usp=sharing
Link to handout: docs.google.com/document/d/1sT0YRF0MZS0b8C8r6wr4RfGdX9vs0INvFOalpcQWfss/edit?usp=sharing
About: Generative AI is revolutionizing the landscape of research by enabling unprecedented levels of automation and innovation, and facilitating major breakthroughs across all research fields. In recognition of the opportunities this presents, the Michigan Institute of Data Science (MIDAS) and the College of Literature, Science, and the Arts (LSA) at the University of Michigan are co-hosting a series of tutorials on Generative AI during the Winter ’24 semester.
Visit our series page for more information: midas.umich.edu/generative-ai-tutorial-series
- Visit our homepage to learn more about data science and AI at the University of Michigan: midas.umich.edu/
- Sign up for the MIDAS newsletter: myumi.ch/rrxW3
- Twitter: @um_midas
- LinkedIn: linkedin.com/michigan-institute-for-data-science-midas
#datascience #artificialintelligence #generativeai #research
00:00 Introduction
01:01 Considerations
30:27 Literature Discovery
48:29 Summarizing and Synthesizing
01:27:06 Guidelines & Recommendations
This session introduced generative AI tools that can assist you with literature discovery, summarization, and synthesis. Featured tools include Open AI’s chatGPT, UMGPT, Anthropic’s Claude, ResearchRabbit, and more.
Instructors:
- Jamie Niehof, Engineering Librarian
- Tyler Nix, Associate Director, Research & Informatics, Taubman Health Sciences Library
- Sarah Barbrow, Assistant Director, Engineering Librarian
Link to slides: docs.google.com/presentation/d/1H0TEFpXxwEenPpZ_a_P9gLLObES9AMYoBFm-fd6lJvM/edit?usp=sharing
Link to handout: docs.google.com/document/d/1sT0YRF0MZS0b8C8r6wr4RfGdX9vs0INvFOalpcQWfss/edit?usp=sharing
About: Generative AI is revolutionizing the landscape of research by enabling unprecedented levels of automation and innovation, and facilitating major breakthroughs across all research fields. In recognition of the opportunities this presents, the Michigan Institute of Data Science (MIDAS) and the College of Literature, Science, and the Arts (LSA) at the University of Michigan are co-hosting a series of tutorials on Generative AI during the Winter ’24 semester.
Visit our series page for more information: midas.umich.edu/generative-ai-tutorial-series
- Visit our homepage to learn more about data science and AI at the University of Michigan: midas.umich.edu/
- Sign up for the MIDAS newsletter: myumi.ch/rrxW3
- Twitter: @um_midas
- LinkedIn: linkedin.com/michigan-institute-for-data-science-midas
#datascience #artificialintelligence #generativeai #research
zhlédnutí: 156
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Linking Scientific Instruments and Computation: Patterns, Technologies, Experiences - Ian Foster
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Clinical, Standardization & Algorithmic Pathways to Automating Discovery with EHR Data -Charles Mayo
zhlédnutí 39Před 6 měsíci
“Clinical, Standardization and Algorithmic Pathways to Automating Discovery with EHR Data” Presentation abstract: In Radiation Oncology we have constructed a learning health system that combines an infrastructure for automated, standards driven aggregation, integration and harmonization of electronic health records (EHR) data for all treated patients. We then developed automated statistical and...
Code Smarter, Not Harder: Harnessing Generative AI for Research Programming Efficiency
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Data & AI in Society: The Impact of AI on the Live and Rights of Women in the US and the Middle East
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Generative AI Coast-to-Coast Webinar Series: A Conversation on Policy, Ethics, and Generative AI
zhlédnutí 194Před 8 měsíci
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MIDAS Ethical AI Forum: Academic Lightning Talks - Round 2
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MIDAS Ethical AI Forum: Academic Lightning Talks - Round 2
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MIDAS Ethical AI Forum: Evaluation and Values in Machine Learning and NLP
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MIDAS Ethical AI Forum: Academic Lightning Talks Round 1
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MIDAS Ethical AI Forum: Panel Discussion on Different Perspectives Academia & Practice (#2)
zhlédnutí 27Před 9 měsíci
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Generative AI Coast-to-Coast Webinar Series: Generative AI in Healthcare and Public Health
zhlédnutí 447Před 9 měsíci
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I like the sound
Excellent introduction
Amazing insights
A request for future recordings - please arrange for one or two handheld microphones for the audience that can be passed around when there are questions. This will make the questions audible on the recordings and add a lot to the value of these sessions. Thank you!
Absolutely!
where could i get the slides for this presentation ?
profound.......
I cannot believe that in 2023 we are still in the place where someone is having PPT presentation and video is not zooming on it, but on speaker...
A good starting point for someone trying to get started with diffusion models.
Too quiet!
I wish I understood what she's talking about
Thanks so much MIDAS for hosting, and Rada for the great conversation! You made me realize in particular how critical it is for the US to follow the EU's lead in granting people like you and your teams "vetted researcher" status to evaluate AI systems, and also how that needs to be expanded beyond recommender systems/social media/search to include gen AI platforms. Thank you for your team's great work!
Please share the slide deck!
Interesting talk, but the slides are impossible to see. Do you have a link to them?
This is a phenomenal presentation. I sit across massive scales architectures with knowledge of MLOps platforms and am constantly battling the difficulties that resist enterprise adoption of AI/ML scalable architectures. I’ve got many ideas on how to move forward but I momentarily and adoption slows application before the market and techniques evolve.
Wow! Great, informative talk that really has given me some great insight on how to improve my own EHR study! Thanks to Dr. Hubbard for the stellar presentation.
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Bibliography?
the video image is too poor, you need to fix it more
Thanks for this!
Hello 💋everyone, very interesting 🔥videos you have thank 👍you very much, good and😍 prosperous to you and your channel.❤️
So actual, so relevant! Thank you! <3
Link to the CASL project website mentioned in the talk (it got obscured by the zoom speaker window): casl-project.ai
Is this live? Place to ask questions?
Great talk. Thanks for sharing it.
Cool content, keep it up. Check followsm . c o m to grow your channel.