The simplest definition is that training is about learning something, and inference is applying what has been learned to make predictions, generate answers and create original content. However, ...

Evaluating the genetic correlations across our phenotypes is of essential importance for understanding disease etiology and other potential causality. A new method—published in the journal Nature ...

A significant shift is under way in artificial intelligence, and it has huge implications for technology companies big and small. For the past half-decade, most of the focus in AI has been on training ...

Societies are becoming more polarised, driven in part by misconceptions about out-groups’ beliefs. To understand these effects, one must examine the cognitive processes underlying how people think ...

The part of an AI system that generates answers. The inference engine is the software people interact with when they ask ChatGPT, Grok or Gemini a question. Inference engines rely entirely on and give ...

The ability to make nuanced inferences about other people’s emotional states is central to social functioning. While emotion inferences can be sensitive to both facial movements and the situational ...

AI inference is undergoing the same transformation that cloud infrastructure experienced a decade ago. Open-weight models have expanded who runs AI — neoclouds, regulated enterprises, and AI-native ...