Integrating humanities into AI development is vital because societal impact is shaped by those who understand meaning, not just builders.

Anthropic is urging its rivals to pursue an unprecedented regime of AI arms control. The explosive advances in the company’s ...

Everyone is racing to point powerful AI models at drug discovery. A growing camp argues the real prize is the layer beneath the models — the connected biological knowledge they reason over — and that ...

Algorithms give computers step-by-step instructions to complete tasks accurately.Good algorithms improve software speed, ...

The maker of Claude wants AI labs, including itself, to prepare for a coordinated slowdown if models begin building their own successors ...

Artificial intelligence is changing the world, and simultaneously inventing a whole new language to describe how it’s doing it. Spend five minutes reading about AI and you’ll run into LLMs, RAG, RLHF, ...

Every LangChain pipeline your team hardcodes starts breaking the moment the query distribution shifts — and it always shifts. That bottleneck is what Sakana AI set out to eliminate. Researchers at ...

ByteDance’s drug discovery unit Anew Labs presented its first AI-designed therapy at a major immunology conference in Boston, showing a generative-AI-designed small molecule targeting IL-17, a protein ...

If you listen to the brightest minds in tech right now, you might think human disease is just a software bug waiting for a patch. I’ve spent my career straddling the mathematical elegance of ...

Good morning, everyone, and thank you so much for joining us. I want to start by briefly framing where Recursion is today and its journey and evolution. Over the past decade, Recursion has built ...

A decision tree regression system incorporates a set of if-then rules to predict a single numeric value. Decision tree regression is rarely used by itself because it overfits the training data, and so ...

Abstract: We show that the generalized total least squares (GTLS) problem with a singular noise covariance matrix is equivalent to the restricted total least squares (RTLS) problem and propose a ...