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.

A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.

The deal arrives as Meta accelerates its AI investments to compete with Google, Microsoft, and OpenAI — and as the industry’s ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

Today’s large language models can do a disconcertingly good job of looking like genuine artificial intelligence, so it’s ...

Security researchers uncovered a range of cyber issues targeting AI systems that users and developers should be aware of — ...

AI tools promise that anyone can build apps, so I put that claim to the test. After a few minor bumps, I built a custom ...

It’s been three years since OpenAI released ChatGPT and kicked off a surge in innovation and attention on AI. Since then, ...

Las Vegas is at a crossroads and hopes to draft a QB who could help guide the team into a new era. Plus, playoff seeding, the ...

Bold acquisitions in AI are no longer just about cutting-edge algorithms they’re about who controls the execution layer, and ...

What began as a surge in generative AI and platform innovation two years prior crystallized this year into concrete shifts in ...

Have an app you've always wanted to build? A humdrum task to automate? AI tools make it easier than ever, but they can be as ...