When RL is paired with human oversight, teams can shape how systems learn, correct course when context changes, and ensure ...

A reinforcement learning environment is a fail-safe digital practice room where an agent can afford to make mistakes and learn from them without real-world consequences.

Despite having just 3 billion parameters, Ferret-UI Lite matches or surpasses the benchmark performance of models up to 24 times larger.

The OpenClaw episode exposed a risk most security programs are not actively watching for: collusion between AI-driven systems. In one of the first publicly observed instances, autonomous AI agents ...