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An OptimumT case study in curiosity-driven artificial intelligence Coordinating autonomous aircraft requires continuous decisions in a changing environment. A moving target changes direction. Tracking aircraft must adjust their flight controls. The learning system must turn those interactions into increasingly effective behaviour. This project brought those capabilities together in a configurable simulation testbed. Combining curiosity-driven reinforcement […]

In computer-assisted surgery, split-second accuracy isn’t just a technical metric—it is a patient safety requirement. Minimally invasive procedures like laparoscopic cholecystectomy (gallbladder removal) rely increasingly on AI-driven computer vision to identify surgical tools in real time. This case study evaluates how recent iterations of the YOLO (You Only Look Once) object detection family balance inference […]

Innovation Case Study How OptimumT is Building AI Systems That Learn, Adapt, and Collaborate Executive Summary Autonomous drones have evolved rapidly over the past decade. They can navigate predefined routes, avoid obstacles, and execute increasingly sophisticated missions. Yet one fundamental challenge remains largely unsolved: How do autonomous aerial systems learn to cooperate in environments that […]