PSOC Webinar: Indrajit Tah & Chris Price

https://upenn.zoom.us/j/96715197752

Join Zoom Meeting: https://upenn.zoom.us/j/99334915941?pwd=eDRXV1lITDlySXFyRHUyUzdmRldoQT09 Meeting ID: 993 3491 5941 Passcode: 189247 PSOC@Penn Summer Webinars 2021 Contact manu@seas.upenn.edu with any questions Indrajit Tah 12:00-12:30 PM Chris Price 12:30-1:00 PM

PSOC Webinar: Indrajit Tah & David Li

https://upenn.zoom.us/j/96715197752

Join Zoom Meeting: https://upenn.zoom.us/j/99334915941?pwd=eDRXV1lITDlySXFyRHUyUzdmRldoQT09 Meeting ID: 993 3491 5941 Passcode: 189247 PSOC@Penn Summer Webinars 2021 Contact manu@seas.upenn.edu with any questions Indrajit Tah 12:00-12:30 PM David Li 12:30-1:00 PM

Layer by Atomic Layer – MOCVD Growth for a Carbon Neutral Society: A Symposium to honor Dr. Russell Dupuis and Dr. Daniel Dapkus, recipients of the 2022 Benjamin Franklin Medal in Electrical Engineering

Drexel University - Bossone Research Center, Mitchell Auditorium 3140 Market Street, Philadelphia, PA, United States

The School of Engineering and Applied Science is honored to co-sponsor, with Drexel University and the Franklin Institute, a symposium to honor the recipients of the 2022 Benjamin Franklin Medal in Electrical Engineering. Dr. Russell Dupuis and Dr. Daniel Dapkus join a list of many distinguished laureates of the Franklin Institute – of these over 90 […]

ASSET Seminar: Lockout: Sparse Regularization of Neural Networks, Gilmer Valdes (UCSF)

Levine 307 3330 Walnut Street, Philadelphia, PA, United States

ABSTRACT: Many regression and classification procedures fit a function f(x;w) of predictor variables x to data 〖{x_i,y_i}〗_1^N based on some loss criterion L(y,f(x;w)). Often, regularization is applied to improve accuracy by placing a constraint P(w)≤t on the values of the parameters w, where P is a monotonic increasing function of the absolute values of the […]

Physics PhD Thesis Defense: “Characterization of Solid State Defect Systems For Quantum Computing, Communication, and Sensing”

Towne 319 220 S. 33rd Street, Philadelphia, United States

Solid state defects have emerged as a leading candidate for platforms in quantum computing, communication, and sensing. The electronic spins localized around these defects have many advantages such as room temperature coherence, spin dependent optical transitions which enable visible-wavelength initialization and readout, and resonant frequencies compatible with widely available off-the-shelf microwave hardware. Furthermore, the nuclear […]

Condensed and Living Matter Seminar Series – “Optical Neural Networks for Faster AI and Superresolution Imaging”

DRL A8 209 S. 33rd Street, Philadelphia, PA, United States

Although machine intelligence is taking over the world, its current digital electronic platform is very inefficient in terms of energy consumption. Switching to analogue computation, which function more like human brains than digital computers, will allow enhancing the energy efficiency by several orders of magnitude. Optics presents a particularly promising platform for analogue AI; however, […]