An AI agent reads its own source code, forms a hypothesis for improvement (such as changing a learning rate or an architecture depth), modifies the code, runs the experiment, and evaluates the results ...

Boston's pioneering experiment with MCP is laying the groundwork for an 'agentic middleware' for local government, expanding access to public services.

Abstract: As electricity markets become increasingly complex due to evolving market structures and the integration of renewable energy, optimizing bidding strategies for power generators has become ...

Abstract: Growing serial I/O data rates, over both severe low-pass electrical and dispersive optical channels, necessitate increased equalization complexity and consideration of more ...

Threat actors are operationalizing AI to scale and sustain malicious activity, accelerating tradecraft and increasing risk for defenders, as illustrated by recent activity from North Korean groups ...

Agent skills shift AI agents toward procedural tasks with skill.md steps; progressive disclosure reduces context window bloat in real use.