Naomi Saphra thinks that most research into language models focuses too much on the finished product. She’s mining the ...

Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...

AI experts acknowledge ARC’s value, and also its flaws. Jiaxuan You, a computer scientist at the University of Illinois at ...

Disabling this setting prevents your data from being used, but data already used for training can't be taken back ...

When it comes to AI, many enterprises seem to be stuck in the prototype phase. Teams can be constrained by GPU capacity and ...

OpenAI researchers tried to train the company's AI to stop "scheming," but their efforts backfired in an ominous way.

The Parallel-R1 framework uses reinforcement learning to teach models how to explore multiple reasoning paths at once, ...

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...

Instead of bending a training-centric design, we must start with a clean sheet and apply a new set of rules tailored to ...