by Barbara Shellenberger | Nov 29, 2023
Tianyu Wang Boston University Abstract: I will overview our work on analog neural networks based on photonics and other controllable physical systems. In particular, I will discuss why neural networks may serve as an ideal computational model that will enable us to...
by Barbara Shellenberger | Nov 29, 2023
by Barbara Shellenberger | Nov 29, 2023
Paul Denholm NREL Abstract: The existing power grid relies heavily on physical inertia provided by thermal and hydropower generators to maintain a nearly constant frequency. But the inverters used by wind and solar do not inherently provide physical inertia, and there...
by Barbara Shellenberger | Nov 29, 2023
Donna Strickland, Nobel Laureate University of Waterloo, Department of Physics & Astronomy Abstract: With the invention of lasers, the intensity of a light wave was increased by orders of magnitude over what had been achieved with a light bulb or sunlight. This...
by Barbara Shellenberger | Nov 29, 2023
Eliot Kapit Colorado School of Mines, Department of Physics Abstract: A huge range of important problems in computer science–including task optimization, formal logic, encryption, and machine learning–can be solved by finding the sequence of binary...