Artificial Super Intelligence Lab · University of West Florida
Building the reliability foundations for superintelligent agentic systems.
We work on the hard part of getting to highly capable AI: making agentic systems dependable. That means perception you can trust, uncertainty an agent can act on, and models compact enough to run where the decisions happen. These are the robustness, uncertainty, and efficiency that superintelligent systems will have to be built on.
What we work on
01
Robust & Reliable Visual Agentic Systems
Agents that perceive and act, and know when they might be wrong.
Multi-agent VLMsCollective uncertaintyVideo reasoningAbstention
02
Efficient AI at the Edge
Compress capable models to run under real latency and power limits.
DistillationQuantizationStructured pruningEdge inference
03
Uncertainty, Assurance & Trust
Rigorous measurement: telling a real result from a lucky one.
Uncertainty quantificationAI T&ECalibrationNeuro-symbolic
What we're building
The lab