Problem: Critical infrastructure systems need to detect and respond to novel exploits in real time, without waiting for human intervention or a patch cycle. What we built: Contributed FUZZBUSTER — …
Problem: Classical AI planning systems lack the flexible, affect-modulated decision-making that allows agents to prioritize and adapt under uncertainty. What we built: Developed an affective agent architecture that uses emotion-inspired …
Problem: Existing RDF stores lacked native Prolog reasoning and the performance needed for large-scale knowledge representation in production AI systems. What we built: Designed and built VivaceGraph — a full …