The Right Livelihood International Conference is a five-week global conference exploring how education can strengthen democracy, collective intelligence, and just futures. Bringing together Right Livelihood Laureates, students, faculty, and community partners […]
Complex societal problems (e.g. wicked problems) such as those brought on by climate change can be addressed through a combination of Research through Design (RtD), co-design, and Serious Games (SG) […]
Presenter: Asir Intisar Khan, Assistant Professor in Electrical Engineering and Computer Sciences (EECS), University of California, Berkeley Description: With the rise in global data demands, energy efficiency in electronics is becoming increasingly important for sustainable progress in AI, healthcare, IoT, and beyond. Emerging technologies, such as neuro-inspired computing and the 3D integration of logic and […]
Liz Carlisle from UC Santa Barbara In Person Location: ISB 221 Zoom Link Living Roots makes the case for putting perennial foods at the center of our farms and our plates, to add flavor and nutrients to our diets while reducing emissions and making our food system more resilient to climate change and economic uncertainty. […]
Host: Dani Klawitter Living Roots makes the case for putting perennial foods at the center of our farms and our plates, to add flavor and nutrients to our diets while reducing emissions and making our food system more resilient to climate change and economic uncertainty. With contributions from James Beard Award-winning chefs, Macarthur genius grant-winning […]
Presenter: Anil Damle, Associate Professor, Cornell University Description: The column subset selection problem is a classical topic in numerical linear algebra, with renewed interest driven by applications in computational quantum chemistry, integral equations, model reduction, and model compression in machine learning. This talk surveys recent advances that clarify how structural properties of a matrix influence […]
Presenter: Yu Zhang, Associate Professor, ECE Department of UC, Santa Cruz Description: Modern cyber-physical systems present statistical learning problems that deviate significantly from standard i.i.d. supervised settings. In particular, two challenges frequently arise: (i) learning under hard structural constraints, and (ii) learning under severe distributional imbalance and rare events. In this talk, I present two […]