The 'Delethink' environment trains LLMs to reason in fixed-size chunks, breaking the quadratic scaling problem that has made long-chain-of-thought tasks prohibitively expensive.

The proof-of-concept could pave the way for a new class of AI debuggers, making language models more reliable for business-critical applications.

Most members of Congress are, by any reasonable definition, career politicians. In that way, Congress too often can be a self ...

For example, Edwards-Groves (2012) points out that “[i]n contemporary educational media ‘explicit teaching’ has been ...

As drug development becomes more complex, so do the demands for accurate, reproducible bioanalytical data to prove their ...

The goal of Taiwan's "AI New Ten Major Construction Projects" is not just to maintain Taiwan's leadership and advantage in the semiconductor and AI industries, but to drive the transformation and ...

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...

Whether they’re giving tough feedback, addressing conflict or navigating sensitive issues with stakeholders, a leader's job ...

An expert Q&A on the key considerations for companies in designing and implementing executive compensation clawbacks, ...

Discusses Elk Creek Project Update and Progress on Critical Minerals Development and Funding Milestones October ...