Magnetic Resonance Imaging (MRI) can be accelerated by sampling below the Shannon-Nyquist rate via compressed sensing techniques. In this talk, I will consider the problem of optimizing the under-sampling pattern […]
Classical and quantum photonics with superior properties can be implemented in a variety of old (silicon, silicon nitride) and new (silicon carbide, diamond) photonic materials by combining state of the […]
Open-source software has been a critical enabler for tremendous innovation in the software ecosystem over the past two decades. Inspired by this success, open-source hardware involves making the high-level description […]
Miniaturized light sources are critical for next-generation on-chip photonic devices. Plasmon-based lasers and surface plasmon amplified spontaneous emission of radiation (spasers) have received significant attention since their prediction over a […]
Overparameterized neural networks have proved to be remarkably successful in many complex tasks such as image classification and deep reinforcement learning. In this talk, we will consider the role of […]
The strong lottery ticket hypothesis (LTH) postulates that any neural network can be approximated by simply pruning a sufficiently larger network of random weights. Recent work establishes that the strong LTH […]
This panel discussion will immediately follow the Spring 2021 Grace Hopper Distinguished Lecture delivered by Dr. Jennifer Lewis (details here). This webinar will be held remotely via Zoom (check email […]
The Machine Learning Research team at Morgan Stanley invites Penn students pursuing any degree type or major to participate in an interactive research talk by Dr. Yikai Zhang. The event will include a […]
You can view the recording of this event with this link: Zoom link
This year marks the 40th anniversary of Penn Engineering's diversity efforts and we invite you to join us on Friday, December 3, at 3:00 p.m. EST to celebrate Penn Engineering’s […]
