After a breakneck expansion of generative tools, the AI industry is entering a more sober phase that prizes new architectures ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

The new essential tool in the current AI landscape is workflow recording. It's essentially a macro in the AI age. Rather than ...

Set to roll out this spring, the global LLM unifies the world’s most advanced AI models into one secure portal.

As organizations scramble to enact agentic AI solutions, accessing proprietary data from all the nooks and crannies will be key By now, most organizations have heard of agentic AI, which are systems ...

Researchers at the University of Science and Technology of China have developed a new reinforcement learning (RL) framework that helps train large language models (LLMs) for complex agentic tasks ...

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Modular orchestration, fail-safe design, hybrid memory management, and LLM integration with domain knowledge are essential to agentic systems that reason, act, and adapt at scale. As large language ...

Experts say agentic AI will rapidly change cybersecurity, freeing up talent to focus on more dynamic work. But with AI agents still in their infancy, they also urge CISOs to ask a lot of questions ...

Taiwan's president vows to 'steadfastly defend' sovereignty after China drills AI is one of the fastest-growing technologies in the history of modern business, with the ability to revolutionize ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine the use of multi-agentic AI to ...