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 ...

A typical dilemma is a choice between two options. However, today’s innovators and CIOs face a different challenge of dealing with both probabilistic and deterministic code, not separately, but ...

Core Internet infrastructure will require greater redundancy and more sophisticated congestion management technologies to ...

Without guardrails, agent sprawl will outpace security teams' ability to detect or manage all agents in their environment.

With three conservatives showing they would let Trump go hog wild on tariffs, it will be much harder for Chief Justice John ...

In a pair of oral arguments on Monday, the Supreme Court wrestled with disputes over whether U.S. companies can recover under ...

As we've seen, the AI and data center industry is rapidly developing and that development is characterized by flux, speed, ...

Enhancing protein identification accuracy is vital for proteomics; this article explores key technologies and statistical methods involved.

Identifying vulnerabilities is good for public safety, industry, and the scientists making these models.

A machine learning (ML) model might retrain or drift between quarterly operational syncs. This means that, by the time an ...

In practice, the choice between small modular models and guardrail LLMs quickly becomes an operating model decision.

Autonomous vehicles have made remarkable progress over the past decade, accumulating millions of miles and performing well on highways, in controlled test areas, and in select urban zones. However, ...