New research reveals why even state-of-the-art large language models stumble on seemingly easy tasks—and what it takes to fix ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

ISACA is the new CAICO, trusted by the Department of War to serve as the authority responsible for CMMC training and ...

Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

AI2 has unveiled Bolmo, a byte-level model created by retrofitting its OLMo 3 model with <1% of the compute budget.

In contrast to machine learning (ML), machine unlearning is the process of removing certain data or influences from models as ...

Nous Research's open-source Nomos 1 AI model scored 87/120 on the notoriously difficult Putnam math competition, ranking ...

A much faster, more efficient training method developed at the University of Waterloo could help put powerful artificial intelligence (AI) tools in the hands of many more people by reducing the cost ...

The company called GPT-5.2 "the most capable model series yet for professional knowledge work" in the announcement on Thursday. Citing its own recent study of AI use at work, the company noted that AI ...

Abstract: This paper studies the problem of pre-training for small models, which is essential for many mobile devices. Current state-of-the-art methods on this problem transfer the representational ...

Michael P. Duffey appears before the Senate Armed Services Committee for his nomination to become undersecretary of defense for acquisition and sustainment in Washington, D.C. March 27, 2025. (DoD ...

Abstract: Distributed training of deep neural networks (DNNs) suffers from efficiency declines in dynamic heterogeneous environments, due to the resource wastage brought by the straggler problem in ...