Import AI 471: Why Hugging Face worries me; space mining; FIve Eyes on AI
Plus, a live event with Robin Sloan!
Releases, research, and ideas for developers and product teams. Updated every hour.
Plus, a live event with Robin Sloan!
MIT researchers created the Julia programming language starting around 2009, and it now counts more than 1 million users. JuliaHub, the company formed from the project, launched Dyad 3.0 in April to help engineering teams design complex physical systems.
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.
Piloting the world's first double-blind AI evaluations
Health & Bioscience
Now you can get more intelligent speech-to-text transcription with Gemini 3.5 Transcribe.
The “CrysVCD” tool developed at MIT could cut the huge amounts of time and money spent on screening out chemically unstable designs.
Human-Computer Interaction and Visualization
A new algorithm learns to anticipate the unprecedented scenarios that critical infrastructure and global supply chains are least prepared for.
Differential acceleration of cyber, math, and AI
Anthropic recently announced it will add invisible watermarks to the text outputs of its Claude models. A new 48-minute video lecture by Ahead of AI explains the underlying token-sampling mechanism, how the watermark is embedded, and how it can fail or be removed.
Generative AI
Google DeepMind partners with game studios to prototype breakthrough AI gameplay.
Algorithms & Theory
New MIT research could lead to better materials for a fossil-fuel-free process for making the chemical that's essential to fertilizer and other products.
Skala 1.1, the updated deep-learning exchange-correlation functional from Microsoft Research, provides greater accuracy, expanded accessibility across the computational chemistry ecosystem, and a living benchmark to track computational performance. The post Broadening access to Skala creates a faster path to predictive DFT appeared first on Microsoft Research .
The retrieval layer that helps AI systems navigate, read, and verify information inside even the most complex documents