Extended educational sessions that offer attendees the opportunity to learn research methods and techniques from prominent psychological scientists.

The focus of artificial-intelligence spending has gone from training models to using them. Here’s how to understand the ...

Williams is a professor of epidemiology and population health at Stanford University School of Medicine and former dean of the Harvard T.H. Chan School of Public Health. What is the value of a human ...

The creators of the open source project vLLM have announced that they transitioned the popular tool into a VC-backed startup, Inferact, raising $150 million in seed funding at an $800 million ...

There are more licensed female drivers in the U.S. than male drivers. But men nonetheless drive far more than women each year. A disproportionate share of fatal traffic accidents involves male drivers ...

Google researchers have warned that large language model (LLM) inference is hitting a wall amid fundamental problems with memory and networking problems, not compute. In a paper authored by ...

If the hyperscalers are masters of anything, it is driving scale up and driving costs down so that a new type of information technology can be cheap enough so it can be widely deployed. The ...

As frontier models move into production, they're running up against major barriers like power caps, inference latency, and rising token-level costs, exposing the limits of traditional scale-first ...

AI inference uses trained data to enable models to make deductions and decisions. Effective AI inference results in quicker and more accurate model responses. Evaluating AI inference focuses on speed, ...

Looking to get into statistical programming but lack industry experience? We spoke with several statistical programmers from diverse backgrounds, and one thing became clear—there’s no single path to ...