Tools designed to verify and monitor physical AI systems offer value, but human oversight is needed to prevent accidents and unexpected behavior.

Researchers from Google and MIT published a paper describing a predictive framework for scaling multi-agent systems. The framework shows that there is a tool-coordination trade-off and it can be used ...

Beyond executing predefined workflows, autonomous networks must understand operator intent, reason over tradeoffs and decide what actions to take.

VS Code's AI Toolkit and Microsoft Foundry can speed up agent development, but real-world success often depends on picking the right runtime and region, keeping tool-driven context under control, and ...

Acting as AI leaders, three of the most sophisticated large language models resorted to nuclear weapons in 95% of conflict ...

Google Agent Skills address context bloat; skills load on demand from skill.md files with YAML front matter, reducing ...

Acoustic jamming during bat emergence is weaker than expected because signal redundancy, echo integration, and simple movement rules enable robust navigation, as demonstrated by an agent‑based sensory ...

Dyad AI from JuliaHub is bringing an AI-for-Science environment to product development. Users can model and interrogate ...

A new study reveals that the next generation of blockchain defenses will not rely on fixed rules alone but on adaptive, learning-based systems capable of evolving alongside intelligent adversaries.

Could AI agents destroy the economy in 2026? Explore systemic risks, market instability, job loss, and prevention strategies.

Abstract: The evaluation of operational effectiveness for Unmanned Aerial Vehicle (UAV) swarm precision strike missions is critical in the contemporary unmanned warfare. Nonetheless, current ...

Key TakeawaysDigital twins are ultra-accurate computer-based simulations of complex physical systems used for exploring "what ...