In July 2015, Sen, Nima Kalantari, then an ECE PhD student, and fellow PhD student Steve Bako published a paper with their solution: applying machine learning, a nascent approach at the time, to speed ...
This proposed schedule is subject to change. To review the most up-to-date listings of all courses, instructors, times and locations refer to GOLD (UCSB Student Gaucho On-line Data). If you do not ...
As computing continues to be used for increasingly private and sensitive operations impacting all aspects of our lives, the need to maintain tight control of those computations only continues to grow.
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 ...
Data-driven approaches, especially those that leverage deep learning (DL), have led to significant progress for many important problems in computer vision and image/video processing over the last ...
The development of automated methods capable of detecting and localizing actions is crucial for a variety of applications, ranging from surveillance and autonomous driving to content moderation. This ...
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 ...
Shigeki Yoshida is presenting record Ka-band power density from N-polar GaN HEMTs of 12.8 W/mm at 28 GHz, utilizing N-polar GaN/InAlN HEMTs. Shigeki Yoshida received the B.E. and M.E. degrees in ...
Physically based rendering is widespread due to its ability to create compelling, photorealistic images. Generating these images requires evaluating a multidimensional integral and is typically done ...
In this talk, I will discuss the latest developments in the GlobalFoundries Fotonix TM program, including enhancements in device performance, packaging, PDK compact models, and in-house test ...
Due to inherent complex behaviors and stringent requirements in analog and mixed-signal (AMS) systems, verification and testing become key bottlenecks in the product development cycle. Rare failure ...
How can we transform artificial intelligence (AI) and machine learning capabilities into engineering systems for purposes of robotics and autonomy? That is, how can we engineer AI systems within ...
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