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Self-Driving Labs
What They Are, Why They Matter, and What Policy-makers Should Do About It
Oct 10, 2023
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Charles Yang
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Self-Driving Labs
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July 2023
ML4Sci #38: Finding Signal in the Noise
Creative examples from a data-drenched world
Jul 9, 2023
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Charles Yang
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ML4Sci #38: Finding Signal in the Noise
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January 2022
ML4Sci #37: DeepMind’s Annus Mirabilis
Large AI for Science models are the new digital particle accelerators
Jan 11, 2022
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Charles Yang
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ML4Sci #37: DeepMind’s Annus Mirabilis
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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
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Charles Yang
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ML4Sci #36: Using AI to Disprove Graph Conjectures; Physical Systems for Backpropagation; AI4Science Data Brief
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March 2021
ML4Sci #35: Announcing the new ML4Sci Slack Workspace
Also, recommendation systems for nanoporous materials and AI for semiconductor chips
Mar 30, 2021
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Charles Yang
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ML4Sci #35: Announcing the new ML4Sci Slack Workspace
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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
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Charles Yang
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ML4Sci #34: 2 National Reports on AI in the US; Unpacking the Full-Stack of news from Facebook this week
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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
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Charles Yang
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ML4Sci #33: AI models that cost $1B USD to train; Transformers continue eating the world; Blockchain for research papers
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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
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Charles Yang
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ML4Sci #32: Finding papers with SemanticScholar
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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
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Charles Yang
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ML4Sci #31: ML identifies more anti-CRISPR proteins; Transformer protein language models are unsupervised learners
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ML4Sci #30: MuZero, DeepMind and Learning the Rules of Science
Also, AI for power grids and earth sciences
Jan 16, 2021
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Charles Yang
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ML4Sci #30: MuZero, DeepMind and Learning the Rules of Science
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December 2020
ML4Sci #29: AI in Science; NeurIPS wrap-ups; Algorithmic Idiocy
Wrapping up 1 year of the ML4Sci Newsletter
Dec 20, 2020
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Charles Yang
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ML4Sci #29: AI in Science; NeurIPS wrap-ups; Algorithmic Idiocy
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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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Charles Yang
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ML4Sci #28: DeepMind "solves" protein folding
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