Abstract: This letter presents a semi-parametric approach for learning safe data-driven control barrier functions (SDD-CBFs) for unknown continuous systems from noisy data. By leveraging optimization ...

Panelists repeatedly highlighted that AI compute scaling is dramatically outpacing traditional Moore’s Law transistor ...

High-quality data are critical in health care, forming the cornerstone for accurate diagnoses, effective treatment plans, and reliable conclusions. Similarly, high-quality datasets underpin the ...

Abstract: This paper addresses the data-driven safe prescribed performance lane-changing control problem of vehicle platoons with unknown dynamic models. As the safe guarantee for the lane changing, ...

As the founder of The Mad Botter, an automation and AI development company, Michael Dominick builds technology that aims to solve the problems most organizations don’t see until they slow everything ...