Archive - ML4Sci

Self-Driving Labs

What They Are, Why They Matter, and What Policy-makers Should Do About It

Oct 10, 2023 •

July 2023

ML4Sci #38: Finding Signal in the Noise

Creative examples from a data-drenched world

Jul 9, 2023 •

January 2022

ML4Sci #37: DeepMind’s Annus Mirabilis

Large AI for Science models are the new digital particle accelerators

Jan 11, 2022 •

May 2021

ML4Sci #36: Using AI to Disprove Graph Conjectures; Physical Systems for Backpropagation; AI4Science Data Brief

This is my thesis week 😪

May 6, 2021 •

March 2021

ML4Sci #35: Announcing the new ML4Sci Slack Workspace

Also, recommendation systems for nanoporous materials and AI for semiconductor chips

Mar 30, 2021 •

ML4Sci #34: 2 National Reports on AI in the US; Unpacking the Full-Stack of news from Facebook this week

Also, new interpretability methods+adversarial attacks on Neural Networks from OpenAI

Mar 14, 2021 •

February 2021

ML4Sci #33: AI models that cost $1B USD to train; Transformers continue eating the world; Blockchain for research papers

Also, tales of ML4Sci from the Twitter-verse

Feb 28, 2021 •

ML4Sci #32: Finding papers with SemanticScholar

Using recommendation feeds to find papers on polymer screening, discovering semiconductors, and predicting planetary system dynamics

Feb 14, 2021 •

January 2021

ML4Sci #31: ML identifies more anti-CRISPR proteins; Transformer protein language models are unsupervised learners

My attempt to dive into some ML4Bio. Also, transformers are eating the world

Jan 30, 2021 •

ML4Sci #30: MuZero, DeepMind and Learning the Rules of Science

Also, AI for power grids and earth sciences

Jan 16, 2021 •

December 2020

ML4Sci #29: AI in Science; NeurIPS wrap-ups; Algorithmic Idiocy

Wrapping up 1 year of the ML4Sci Newsletter

Dec 20, 2020 •

ML4Sci #28: DeepMind "solves" protein folding

In the News: AI for Archaeology and Deep Learning as Black Magic

Dec 6, 2020 •

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