How we learn to predict an outcome isn’t determined by how many times a cue and reward happen together. Instead, how much ...

Henry Yuen is developing a new mathematical language to describe problems whose inputs and outputs aren’t ordinary numbers.

Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...

LLMs have recently helped find solutions to a number of minor longstanding problems. But a new plan called First Proof is really putting them to the test ...

A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...

Abstract: In the field of computer science, sorting algorithms are crucial because they facilitate the effective processing and arrangement of data in a variety of scenarios, including data analysis, ...

The new TikTok USDS Joint Venture LLC has been created, and a new US-based algorithm will be put into place, which leave users with the choice to stick around or find an alternative. On December 18, ...

The vast majority of Americans engage with some kind of social media. Some of it is wonderful, some is terrible and it's definitely habit forming. On this episode, we talk about how social media ...

Abstract: In addressing the three-station time difference of arrival localization problem for terrestrial and sea surface targets, this study exploits the correspondence between z in the geodetic ...