MIT researchers describe a computational approach that reveals how cells signal to each other as they assemble into tissues. They say it could speed up stem cell engineering, improve disease models and inform therapies.
OpenAI launched the Rosalind Academic Plan, which gives eligible university labs sponsored access to GPT-Rosalind and related tools. The program targets life sciences research.
Google DeepMind describes how Google Antigravity for Science is being used to speed up the search for new antimicrobial peptides.
NVIDIA describes on Hugging Face how it scaled pretraining data for Indian languages to 2.8 trillion tokens, along with an open pipeline for generating that data.
On the TheoPhysEval benchmark, GPT-6-Astra matched leading specialists on 49 of 50 unpublished theoretical physics calculations, and some apparent failures exposed errors in the experts' own answers. The researchers say physics has not yet seen a breakthrough like mathematics because the agents lack taste, but they think autonomous top-level AI research could come soon.
A US filmmaker traces the history of artificial intelligence back to the late 19th century. Her documentary explores the links between AI, modern statistics and eugenics, and argues that ideas close to eugenics still shape some tech leaders' discourse.