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Electrical engineering student Jordan Prescott will graduate with high honors, which means he ranks in the top 8.5 percent of his graduating class. Selected to serve as a banner carrier, he will lead ...
Advised by ECE professor Andrew Teel, Crisafulli studies stochastic approximation theory applied to hybrid dynamical systems. Although theoretical, the work can be applied to establish performance ...
Location: Engineering Science Building (ESB), Room 2001 DISTINGUISHED LECTURE at the ECE SEMINAR SERIES Abstract Today’s computing platforms are challenged by emerging AI applications due to their ...
Tremendous progress is being made at silicon photonic foundries around the world to improve the performance, yield and capability of photonic integrated circuits (PICs) and that is opening up new ...
Location: Ellison Hall Conference Room (EH), Rm 1815 Research Area: Computer Engineering Research Keywords: VLSI Design Abstract Combinatorial Optimization Problems (COPs) are prevalent in our daily ...
ECE Seminar Series – Mar 3 (Mon) @ 2:00pm: "Can Spintronics Help Make Computing More Efficient?," Mark Stiles, NIST Fellow, National Institute of Standards and Technology ...
The Quantum Nanophotonics Group at the National Institute of Standards and Technology (NIST) in Boulder, CO develops new semiconducting and superconducting technologies for advanced metrology needs ...
Modern computing systems encounter significant challenges related to data movement data movement in applications, such as data analytics and machine learning. Within a compute node, the physical ...
This talk explores the properties of overparameterized deep neural networks, with a particular focus on training with imbalanced data. We propose a theoretically grounded loss function tailored for ...
Sep 18 (Wed) @ 11:00am: "High Performance Quantum Dot Gain Devices for Heterogeneous Integration on Silicon Photonics," Chongxin (Tyler) Zhang, ECE PhD Defense ...
Aug 16th (Fri) @ 10:00 am: “Photonic Architectures for In-Memory Computing Using Nonvolatile Optical Materials,” Nathan Youngblood, Ass’t. Prof., ECE, Pitt ...
Large vision models for natural images, used in tasks such as detection, segmentation, and generation, owe their progress to the vast amounts of image and text data available on the internet. State-of ...
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