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 ...

Affiliate Ram Shankar Siva Kumar and coauthors "present a practical scanner for identifying sleeper agent-style backdoors in ...

For customers who must run high-performance AI workloads cost-effectively at scale, neoclouds provide a truly purpose-built ...

MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.

The rapid emergence of Large Language Models (LLMs) and generative AI is reshaping how people and organizations access, synthesize, and apply knowledge.

AI isn't a single capability, and "using AI" isn't a strategy. The strategy is to know what we're building, why it matters ...

AI is moving from “interesting tool” to “invisible teammate.” It is now time to focus on more advanced skills that let you design, supervise and multiply that teammate’s impact, especially in ...

Getting LLMs to run at home.

The big question is whether LLM control becomes a standard “software upgrade” for MEX, or whether it stays a clever lab demo ...

Advancing proprietary AI discovery of high-bioavailability Oral GLP-1 drug candidates. HOUSTON, Feb. 3, 2026 /PRNewswire/ -- Deep EigenMatics, Inc., a pioneer in high-velocity Artificial Intelligence ...

Abstract: Accurate prediction of raw material prices helps enterprises optimize procurement, control costs, and enhance profits. Yet, the interplay of factors such as supply and demand imbalances, ...