AI agents retain what one user teaches them but share nothing with the team — a gap Asana and others say is now blocking ...

This collection supports and amplifies research related to SDG 4: Quality Education. Generative AI is transforming the conventional dyadic teacher-student dynamic into a triadic framework centered ...

I recently spoke with Chi Wang, a principal researcher at Microsoft and the creator of AutoGen, about the immense potential of multi-agent AI. Agents have been a cornerstone of human-computer ...

The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at lower cost has created a flood of information, and not all of it is clean. It ...

GitHub Copilot multi-agent support for VS Code launched at Microsoft Build 2026 alongside Project Polaris, an in-house AI ...

We just can’t seem to help ourselves. Our current infatuation with multi-agent systems risks mistaking a useful pattern for an inevitable future, just as we once did with microservices. Remember those ...

AI agents are currently at the cutting-edge of how we are using AI to tackle complex tasks and decision-making processes. These autonomous systems, designed to operate without human intervention, are ...

AI agents can use tools, plan workflows, and complete tasks beyond chatbot replies, but businesses need clear guardrails before scaling them.

MuleSoft said governance and integration remain key concerns as more AI agents are deployed across enterprises. Multi-agent ...