cap
@cap_datasci
Data Scientist at a tech company & part-time PhD student. Interests: cheminformatics, drug discovery, organic chemistry, machine learning, causal inference
Talvez você curta
BBCのF1 Podcast、常に角田選手に対して厳しい気がする。最近はシート失って当たり前みたいなスタンスで毎回喋ってる。 F1公式のPodcastは比較的すべてのドライバーに対してフェアな気はする。 気がするだけかもしれないが。
Deep Learning for Biology, by Charles Ravarani & Natasha Latysheva A hands-on guide to applying deep learning across DNA, proteins, medical images, and more. Each chapter is a project-driven path into AI-powered biology—covering CNNs, transformers, GNNs, and autoencoders.…
BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2025 #NobelPrize in Chemistry to Susumu Kitagawa, Richard Robson and Omar M. Yaghi “for the development of metal–organic frameworks.”
Appleが？という感想😳
So I understand that was unexpected for a lot of people, @Apple MLR has released a protein folding model! arxiv.org/abs/2509.18480. Here’s a summary of what SimpleFold is and what it represents: - What is SimpleFold? A generative model that essentially treats protein folding…
Absolute Cinema #f1 #formula1 #azerbaijangp #bakugp #maxverstappen instagram.com/reel/DO1E0Bvgg…
MIT Course announcement: Machine Learning for Computational Biology #MLCB25 Fall'24 Lecture Videos: tinyurl.com/MLCBlectures Fall'24 Lecture Notes: tinyurl.com/MLCB24notes (a) Genomes: Statistical genomics, gene regulation, genome language models, chromatin structure, 3D genome…
Today was my last lecture for @MIT #ComputationalBiology: #Genomes, #Networks, #Evolution, #Health. I recorded each and immediately posted online here: youtube.com/playlist?list=… Please do share, and let me know which topics need more explanations, clarifications, and corrections!
「対称性と機械学習」という本を岩波書店より2025/9/18に出版します。この本は物理世界でみられる対称性を機械学習でどのように扱えるのかについて解説し、特にリー群で表される変換に対する対称性を扱います。 本の概要や、目次を含めたサポートページへのリンクはスレッド内で紹介します。
先月の有合化協会誌、巻末の矢島知子先生の、「有機の研究者の感動の瞬間は往々にしてNMRか液クロの前でやってくる」という言葉に首が取れるほど頷いている
when u accidentally become really important at work and it’s ruining your life x 2
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