Building Smarter, Safer Systems: Unlocking AI’s Potential for Autonomous Systems with Proven Performance
Today’s most exciting technologies??"self-driving cars, air taxis, space transportation, and healthcare breakthroughs??"rely on advanced systems that combine physics, computing, and data. However, the inherent uncertainty in ensuring their safety, reliability, and performance is challenging. Traditional methods often fall short, and while AI techniques like machine learning offer significant potential, they lack the necessary safeguards and formal guarantees needed for real-world applications. This talk will focus on how recent advances in hybrid systems and control are addressing these challenges. By combining certifiable algorithms with modern AI, hybrid systems enable the design of algorithms that meet safety and performance standards under uncertainty, paving the way for safer autonomous vehicles, more reliable space technologies, and robust AI tools.
Wednesday, 03/05/25
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