This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...

Yes or no? It's a simple question that now drives more than US$13 billion (£9.7 billion) a month on prediction ...

With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...

NYU Langone researchers developed an artificial intelligence tool that identifies which patients will require additional ...