Artificial intelligence “agents” are supposed to be more than chatbots. The tech industry has spent months pitching AI personal assistants that know what you want and can do real work on your behalf.

For much of the last two years, multi-agent systems have been treated as the natural next step in artificial intelligence. If one large language model can reason, plan, and act, then several working ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

The past decade has witnessed software changing from being rule-based automation to self-learning intelligence. Today, an era is beginning where AI agents are no longer simply reactive tools, but ...

Company experiments with AI agents are already causing disasters. Zero-day issues are principally governance issues. FOMO will push companies to iterate with agents in the next year. Although ...

The landscape of artificial intelligence is undergoing a significant transformation. As the capabilities of large language models grow, we are beginning to see a shift away from isolated ...

Celonis SE is stepping up its efforts to help organizations reshape their business operations with agentic artificial intelligence, announcing today at its annual user conference Celosphere 2025 new ...

Multi-Agent Reinforcement Learning (MARL) is an emerging subfield of artificial intelligence that investigates how multiple autonomous agents can learn collaboratively and competitively within an ...

FILE - A Visa logo is displayed on a credit card in New Orleans, Aug. 11, 2019. (AP Photo/Jenny Kane, File) (Jenny Kane, Copyright 2020 The Associated Press. All ...