Miles Cranmer: Awesome @QuantaMagazine @walkingthed...| Robocrunch AI

Awesome @QuantaMagazine @walkingthedot article on interpretable machine learning for sciencehttps://t.co/xSCC45wffk

Guest appearances by @rogertgn @laurezanna @hodlipson, myself, and others. Discusses methods such as SINDy (@eigensteve++), PySR, Eureqa, NN interpretation w/ SR! pic.twitter.com/97r5WRCdRi
— Miles Cranmer (@MilesCranmer) May 10, 2022

At our next @stanfordnlp seminar on Dec 2, we have @GabrielSaadia presenting her amazing work on modeling misinformation, implied toxicity and commonsense implications with machine reasoning. 11am PT (open to public): details-https://t.co/58j2irwy5H, reg.- https://t.co/6GxsaTtgQf

Shared by Stanford NLP Group at 11/30/2021

A collection of 57 articles with #NLP tips ⭐️ #naturallanguageprocessing #datascience #machinelearning #artificialintelligence https://t.co/Ovf5ILb0Nx

Shared by NLPlanet at 3/11/2022

A new paper in @Nature details how machine learning was used to make significant new discoveries in pure mathematics by guiding the intuition of some of the world’s top mathematicians from @Sydney_Uni and @OxUniMaths: https://t.co/yWca5JOrHs Paper: https://t.co/AvX78jY9zC 1/

Shared by DeepMind at 12/1/2021

👉21.2. #BIFOLD Colloquium: Alexandre Tkatchenko @uni_lu @TUBerlin talks about electrons and Machine Learning Force Fields. ℹ️ Information & registration: https://t.co/Vl2csAgrLK #ML #MachineLearning #tuberlin #science

Shared by BIFOLD at 2/16/2022

Don't miss this Intel on AI podcast episode with A.M. Turing Award winner and @UMontreal Professor Yoshua Bengio. Join Yoshua and host @khosra as they talk about physics, biology, and the bridge between machine learning and neuroscience. https://t.co/rGxLdd3RV2 #AI

Shared by Intel AI at 1/19/2022

Glad @QuantaMagazine highlights progress on induction heads/rigorous interpretability by @ch402, @catherineols, @nelhage and others @AnthropicAI. More to come! https://t.co/CJXjQlKbeo

Shared by Anthropic at 4/15/2022

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