The use of artificial intelligence (AI) agents, systems that learn to make predictions, generate content or tackle other ...

They can shop, book flights, and control your apps—at least in theory. In practice, today’s AI agents are slow, error-prone, ...

Moltbook, a Reddit for AI agents, sparked viral chatter, lobster-based lore and deeper questions about agent interaction and human projections on AI.

Researchers at the University of California, Santa Cruz have trained lab-grown brain organoids to solve a goal-directed task, ...

As shopping moves from a list of links to AI agents and chatbots, brands face new pressures around data, differentiation and ...

The new Quoting AI Agent collects customer data, optimizes rates, and delivers quotes in seconds, marking the final sprint toward a Fully Autonomous Agent. We have solved the hardest problem in ...

Airtable is applying its data-first design philosophy to AI agents with the debut of Superagent on Tuesday. It's a standalone research agent that deploys teams of specialized AI agents working in ...

But when an agent is forced to navigate multiple open tabs just to answer a single customer query, we aren't witnessing productivity. We are witnessing the "Swivel Chair" problem in action. They have ...

In an impressive feat, Japanese startup Sakana AI’s coding agent ALE-Agent recently secured first place in the AtCoder Heuristic Contest (AHC058), a complex coding competition that involves ...

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...

If you are a CISO today, agentic AI probably feels familiar in an uncomfortable way. The technology is new, but the pattern is not. Business leaders are pushing hard to deploy AI agents across the ...