Peter Chin

BlueSTAR is presented, a tiered agentic architecture for autonomous cyber defense in enterprise IT/OT networks that retains the fast containment of deterministic response for known threats while successfully defending against attacks requiring contextual and cross-cycle reasoning.

Achieving a +13.8 percentage point boost in anomaly detection accuracy with just 8 normal images challenges the limitations of traditional calibration methods in dynamic industrial environments.

CDGP achieves state-of-the-art anomaly localization without any human pixel annotations, revolutionizing the efficiency of industrial visual inspections.

Scaling bidding agents in multi-player games just got easier—DNQ cuts training costs while maintaining strategic effectiveness.