Archive - ML@B Blog

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 •

Machine Learning at Berkeley

January 2024

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 •

Machine Learning at Berkeley

April 2023

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 •

Machine Learning at Berkeley

and

October 2022

Measuring AI Freedom

Oct 9, 2022 •

Machine Learning at Berkeley

September 2022

MuZero: Checkmate For Software 1.0?

By Ashwin Reddy

Sep 6, 2022 •

Machine Learning at Berkeley

and

July 2021

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 •

Machine Learning at Berkeley

and

June 2021

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 •

Machine Learning at Berkeley

May 2021

A Case for Robot Learning

What makes programming robots difficult? We’ll look at the promising idea of end-to-end learning and why it is (or maybe isn’t) the future of robotics.

May 19, 2021 •

Machine Learning at Berkeley

and

April 2021

March 2021

Teaching the Brain to Discover Itself

By Ruchir Baronia

Mar 31, 2021 •

Machine Learning at Berkeley

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