The Future of AI in Drug Discovery | Jensen Huang 💊🤖

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#agichallenges #agidefining #aiindrugdiscovery #healthtech #aiinmedicine

Welcome to our latest video! 🌟 In this episode, we explore the transformative role of AI in drug discovery with insights from Jensen Huang. Discover how AI is revolutionizing the field of biotechnology, from understanding protein structures to predicting their functions. Join us for an in-depth discussion on the future of AI-driven drug discovery. 🧬🔬

Key Discussion Points
Understanding Protein Structures: Learn how AI tools like AlphaFold are enabling scientists to decipher the complex structures of proteins. 🧬🔍
Interpreting Protein Functions: Explore the future where AI can determine the function and significance of proteins, just like conversing with researchers via ChatGPT. 🧠💡
AI and Digital Information: The role of AI in making sense of the vast amounts of digital biological data available today. 🌐🧬
Conversational AI in Research: How AI can transform research by allowing interactive dialogues with scientific literature and biological data. 🗂️📊
Innovations in Biotechnology: The latest advancements in AI that are pushing the boundaries of drug discovery and personalized medicine. 🚀💊
Insights and Analysis
Revolutionizing Drug Discovery: The impact of AI on accelerating the drug discovery process and making it more efficient. 💡💊
AI-Powered Research: How AI is enabling deeper understanding and new insights in the field of biotechnology. 🧠🔬
Future Predictions: Jensen Huang's vision for the future of AI in drug discovery and its potential to transform healthcare. 🌟🚀
Practical Applications: Real-world examples of how AI is currently being used in drug discovery and what to expect in the near future. 🌐🔍
Join us as we delve into the fascinating world of AI and its potential to revolutionize drug discovery. Don't forget to like, comment, and subscribe for more insights on AI, technology, and innovation! 👍🔔

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[tianlihu]

Thank you for sharing this good interview video! Everyday is a learning day for me. 😊
Thanks for speaking in your plain English about the role of AI in drug discovery, dear Jensen! I enjoy listening to you very much. 👍

[markemerson]

Ooh that’s another level I hadn’t thought of . Exciting times

[venkyorg]

Hello there, could you share link of the full video, please!

[clementprem]

PDF contains text so it is same as copying the entire text and pasting it into the chat. OCR does this for us instead of we doing it manually.
But when you want to talk to a protein you are talking about a whole new set of techniques and device which are not related to generative AI. These device has to feed the data to gen ai.

[heliopunk]

Maybe first solve the problem of LLMs flooding the internet with bullshit. As long as search engines driven with LLMs give you wrong answers and recommend sites that copied that same wrong answer, I don't want researchers using LLMs like this at all. Get your shit together, first, AI 'developers'.

[MattColler]

And then the AI just hallucinates an answer that bears no relation to the correct answer.

[deveyousness]

Imagine the AI hallucinates and we get rl zombies 😂🧟‍♂️🦠