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ML4Sci #37: DeepMind’s Annus Mirabilis
Large AI for Science models are the new digital particle accelerators
Charles
Jan 11
2
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ML4Sci #37: DeepMind’s Annus Mirabilis
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ML4Sci #36: Using AI to Disprove Graph Conjectures; Physical Systems for Backpropagation; AI4Science Data Brief
This is my thesis week 😪
Charles
May 6, 2021
3
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ML4Sci #36: Using AI to Disprove Graph Conjectures; Physical Systems for Backpropagation; AI4Science Data Brief
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ML4Sci #35: Announcing the new ML4Sci Slack Workspace
Also, recommendation systems for nanoporous materials and AI for semiconductor chips
Charles
Mar 30, 2021
2
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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
Charles
Mar 14, 2021
2
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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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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
Charles
Feb 28, 2021
3
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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
Charles
Feb 14, 2021
1
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ML4Sci #32: Finding papers with SemanticScholar
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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
Charles
Jan 30, 2021
3
1
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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
Charles
Jan 16, 2021
3
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ML4Sci #30: MuZero, DeepMind and Learning the Rules of Science
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ML4Sci #29: AI in Science; NeurIPS wrap-ups; Algorithmic Idiocy
Wrapping up 1 year of the ML4Sci Newsletter
Charles
Dec 20, 2020
3
1
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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
Charles
Dec 6, 2020
5
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ML4Sci #28: DeepMind "solves" protein folding
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ML4Sci #27: Some theses about ML4Sci
Also, "repairing innovation" and Semantic Scholar Recommendation Feeds
Charles
Nov 23, 2020
3
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ML4Sci #27: Some theses about ML4Sci
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ML4Sci #26: Fourier Neural Operator for PDE's; Multi-fidelity Graph Networks for Deep Learning the Experimental Properties of Ordered and…
Also, SketchGraph, ChemBERTa and AI for prostate cancer
Charles
Nov 7, 2020
1
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ML4Sci #26: Fourier Neural Operator for PDE's; Multi-fidelity Graph Networks for Deep Learning the Experimental Properties of Ordered and Disordered Materials
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