Olaoluwa Adigun is a Ph.D. candidate in the Signal and Image Processing Institute, ECE Department at USC (LA). He presents “Bidirectional Backpropagation and High Capacity Network” Thursday, March 31 at 1:00pm Via Zoom.
Seminar: Olaoluwa Adigun
Tag: machine learning
Seminar: Yuheng Bu
Dr. Yuheng Bu is a postdoctoral research associate with the Institute for Data, Systems, and Society (IDSS) at the Massachusetts Institute of Technology (MIT). He presents “Can Information Theory Characterize Learning Algorithms?” Thursday, March 3 at 1:00pm via Zoom.
Seminar: Yaoqing Yang
Dr. Yaoqing Yang is a postdoctoral researcher at the RISE Lab at UC Berkeley. He presents “Local vs Global Structures in Machine Learning Generalization” Thursday, March 24 at 1:00pm via Zoom.
Seminar: Daniel L. Silver
Dr. Daniel Silver is a professor in and former director of the Jodrey School of Computer Science, Acadia University, Wolfville, Nova Scotia. He presents “Lifelong Machine Learning and Reasoning” Friday, Feb. 25 at 1:00pm via Zoom.
Seminar: Scott Morrison
Scott Morrison specializes in Design Verification (DV) of analog and mixed-signal semiconductor chips at Texas Instruments in Dallas. He presents “The Future of Verifying Complex Analog and Mixed-Signal Semiconductor Chips” Thursday, Sept. 16 at 1:00pm via Zoom.
Seminar: Michel A. Kinsy
Dr. Michel A. Kinsy is an associate professor in the Department of Electrical and Computer Engineering Texas A&M University (TAMU). He presents “Securing Execution of Neural Network Models on Edge Device” Thursday, Feb. 18 at 1:00pm via Zoom.
Seminar: Roarke Horstmeyer
Dr. Roarke Horstmeyer is an assistant professor of biomedical engineering, electrical and computer engineering, and physics at Duke University. He presents “Intelligent Biomedical Imaging Devices” Thursday, March 18 at 1:00 via Zoom.
Zare’s $1.2 Million Award Brings Machine Learning to Plant Root Science
A team of researchers from ECE Florida and IFAS has received a $1.2M grant from the United States Department of Agriculture (USDA) that combines machine learning, hyperspectral cameras, and minirhizotron tubes to nondestructively study root systems of plants.
Alina Zare Assists with Hunt for Better Biofuel
Dr. Alina Zare and the Machine Sensing Lab are part of team working to engineer a more powerful biofuel—using switchgrass, a fast-growing perennial native to the U.S.
Engineering Plays a Leading Role in Agriculture Practices of the Future
Q&A with Dr. David Arnold and Dr. Alina Zare, working together on the recently created NSF ERC IoT4Ag Center