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Machine Learning at Berkeley had a great time hosting @microsoft The House Fund on campus last night.

Come hear Aakarsh Vermani talk about machine learning for protein engineering! The talk will give an overview of AlphaFold2, RFDiffusion, and ProteinMPNN, three models that have been instrumental in the areas of protein structure prediction, and design. lu.ma/4baniw2s

Join us this Monday!

Very excited for this session - come out tomorrow 7pm!! Sign up below👇

I had an incredible time talking about The House Fund with 100+ future Berkeley founders last week. S/o Machine Learning at Berkeley for bringing together an incredible group. If you are starting a company, ideating, or curious about the Berkeley ecosystem shoot me a note [email protected]

Join the BioML lecture on protein design zoom now! Starting in a couple mins ​berkeley.zoom.us/j/91540141506?…

Join us! Link to register in tweet below ⬇️

Following up on a great seminar on RNA structure prediction from Das Lab, we’re very excited to be hosting Stephen Eismann (Atomic AI) for a talk on foundation models for RNA next Monday evening!! Register here: lu.ma/2aawhfaa

I recently gave a talk to Machine Learning at Berkeley on Influence Functions through the lens of Anthropic's recent work generalizing them to LLMs. Slides: docs.google.com/presentation/d… We go through the math, engineering, and interesting results uniquely afforded by this technique!

New blog post from Cade Gordon as part of a series highlighting emerging researchers! Give it a read :)

A wonderful profile of Arc's Brian Hie in this blog by Machine Learning at Berkeley. It traces his training in literary criticism and computer science as he now delves into the language of evolution. Glad to see that other folks share our appreciation for his talent! :) mlberkeley.substack.com/p/the-prose-of…

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Check out alishba imran's latest blog post delving into the application of ML in predicting protein structures, including insights on the newest AlphaFold model!

🌟 Calling all developers – our new Gemini API by Google Course is live! This FREE course is your gateway to mastering the integration of generative AI into your applications, websites, and services. Google for Developers Enroll in this free course today: bit.ly/3VYYbVV

⚡Introducing our free online course with Udacity and Google for Developers—Gemini API by Google! Learn about LLMs, Gemini models, prompting techniques, and Google AI Studio. Enroll now: bit.ly/4cCddIC Read more from the Udacity CEO: bit.ly/3xTjEYt

⚡Introducing our free online course with Udacity and Google for Developers—Gemini API by Google! Learn about LLMs, Gemini models, prompting techniques, and Google AI Studio. Enroll now: bit.ly/4cCddIC Read more from the Udacity CEO: bit.ly/3xTjEYt

ML@B is hosting our second-ever all day high school boot camp on the first weekend of September (8/31 to 9/1)! Applications are due Aug 17, 2024 and students can apply through ml.berkeley.edu/ignite

Join ML@B and the founders of the ARC Prize François Chollet and Mike Knoop to reveal techniques designed to defeat ARC-AGI- a $1M competition. Register for the event on Wednesday, October 2nd, 12-2 pm! lu.ma/67ifw3sf?tk=Zv…