One problem enterprises face is getting employees to actually use the AI agents their dev teams have built. Google, which has already shipped many AI tools through its Workspace apps, has made Google ...

A wave of recent research, much of it tied to MIT and its collaborators, reveals that AI agents designed to act autonomously are choosing harmful shortcuts under pressure, compounding errors across ...

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 ...

They can shop, book flights, and control your apps—at least in theory. In practice, today’s AI agents are slow, error-prone, and riddled with privacy trade-offs. Here's a look at what they are, and ...

Most teams can get an AI agent to look impressive in a demo. The hard part is shipping an agent that stays reliable once it’s exposed to real users, messy data and changing systems.

Mobile agents rendezvous problems address the challenge of coordinating independent computational entities—referred to as mobile agents—to meet at a common location within an environment. These ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

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