Opportunities for agentic AI. AI agents go beyond basic in-context learning by enabling LLMs to iteratively plan, reason, and ...

ABERDEEN PROVING GROUND, Md. – The U.S. Army Test and Evaluation Command has announced the focus of its third annual AI Challenge, which kicks off June 4. The objective is to develop a Large Language ...

The new reinforcement learning system lets large language models challenge and improve themselves using real-world data instead of curated training sets. Meta researchers have unveiled a new ...

A study on high-concurrency payment systems proposes a distributed architecture with layered consistency control to ...

Alibaba's HDPO framework trains AI agents to skip unnecessary tool calls, cutting redundant invocations from 98% to 2% while boosting reasoning accuracy.

Physical AI, where robotics and foundation models come together, is fast becoming a growing space with companies like Nvidia, Google and Meta releasing research and experimenting in melding large ...

From writing emails to generating computer code, much of the artificial intelligence prevalent in our daily lives has ...

The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...

When you ask a large language model a question, the reply may include falsehoods, and if you challenge those statements with ...