Abstract: An increasing number of emerging applications, e.g., Internet of Things (IoT), vehicular communications, augmented reality, and the growing complexity due to the interoperability ...

Zapier reports that AI agent evaluation is crucial for ensuring reliable performance in real-world scenarios, identifying ...

In a blog post, Google also mentioned that Spark now tracks news and social media to answer questions about just-concluded ...

Stanford's DeLM lets AI agents coordinate without a central controller, cutting multi-agent inference costs 50% and beating ...

Agent skills have become an important part of real-world AI applications, providing a mechanism — a set of instructions saved in a folder of text-based markdown (.md) files, usually — for models to ...

Rather than focusing on scale and how much an agent can retain, ask how the agent knows when it has learned something ...

Couchbase unveils Couchbase AI Data Plane to provide a single, governed data layer for AI agents running in production.

Tencent Cloud used over 20 agentic AI skills to migrate Indonesian telecom XLSMART's core systems in 4.5 months with zero ...

The software industry has spent years learning that open-source packages can carry hidden risk. The OpenClaw incident shows ...

An examination of the trade secret risks posed by the integration of generative AI (GenAI) and agentic AI into core business ...

Microsoft is promising relief to engineers who get woken up at 3 a.m.

The self-improving AI agent built by Nous Research. It's the only agent with a built-in learning loop — it creates skills from experience, improves them during use, nudges itself to persist knowledge, ...