Abstract Active inference pioneered by Karl Friston, the world’s most frequently cited neuroscientist, is an ideal methodology for developing more advanced AI systems by biomimicking the way living intelligent systems work, while overcoming the manifold limitations of today’s AI such as big data training requirement, lifelong learning capability, and explainability, to name a few. It is considered the key to …
Office of ResearchAbstract: Modern quantum technologies depend on our ability to understand, predict, and ultimately engineer interactions between electrons, excitons, spins, and photons. In this colloquium, I will describe a method of turning quantum materials into programmable quantum systems. I will first briefly discuss how many-body GW–Bethe–Salpeter and Kadanoff–Baym approaches provide a predictive framework for the linear and nonlinear optical response of …
Office of Research