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Benchmarking Biology’s AI Agent: ML@B's Collaboration with LatchBio
By: Lucas Gu, Daniel Grant, Rishi Athavale, Maggie Dong
Apr 15
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Machine Learning at Berkeley
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The Prose of Proteins - A Lesson in Taste and Vision through the Work of Brian Hie
Cade Gordon, ML@Berkeley Researcher Highlight
Apr 11, 2024
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Machine Learning at Berkeley
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Empowering the Next Generation: Machine Learning at Berkeley's High School Workshop Initiative
In the fast-paced world of technology, the realm of machine learning (ML) can seem intimidating, and for students who lack coding experience, the…
Jan 15, 2024
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Machine Learning at Berkeley
13
Large Language Models of Babel
ChatGPT and Bard have caught the public's attention by storm, but my own feeling is one of déjà vu. Large language models (LLMs) like these are a recent…
Apr 7, 2023
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Machine Learning at Berkeley
and
Ashwin Reddy
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Measuring AI Freedom
By Evan Ellis
Oct 9, 2022
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Machine Learning at Berkeley
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MuZero: Checkmate For Software 1.0?
By Ashwin Reddy
Sep 6, 2022
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Machine Learning at Berkeley
and
Ashwin Reddy
5
How Maximum Entropy makes Reinforcement Learning Robust
Does information theory have a role to play in reinforcement learning? Find out how adding entropy to the reinforcement learning formulation can help…
Jul 26, 2021
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Machine Learning at Berkeley
and
Ashwin Reddy
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Alien Dreams: An Emerging Art Scene
In this blog post I document the evolution of this new art scene and share a bunch of cool artwork along the way.
Jun 30, 2021
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Machine Learning at Berkeley
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