Guest Speaker Series - Efficient AI - CHIMERA: Efficient DNN Training and Inference at the Edge with On-Chip Resistive RAM
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Meeting ID: 999 2760 4384
Passcode: 753741
Chung-Tse Michael Wu receives ARL Grant to Design Intelligent Surfaces for Next Generation Sensing and Communications
ECE Assistant Professor Chung-Tse Michael Wu is the recipient of a new award from the Army Research Lab (ARL) for the project “Power Efficient Metamaterial Intelligent Surfaces and Antenna Arrays using Liquid Metal-based Heterogeneous Integration.” This project is funded at $200,000 for the first year with an option to extend to $750,000 over three years.
Metamaterials (MTMs) are artificial structures with unusual properties, such as negative index of refraction, negative permittivity and permeability, which typically cannot be found in nature. Owing to these exotic electromagnetic (EM) properties, the concept of MTMs has been adopted to develop various guided and radiated wave structures with enhanced functionalities. In particular, 2D-MTMs or metasurfaces have recently gained much attention due to the capability of manipulating the transmission and reflection characteristics of EM waves. The proposed research project aims to create a new category of liquid metal based reconfigurable MTM intelligent surfaces as well as metasurface antenna arrays for next generation sensing and communication. By incorporating liquid metal into soft materials, the resulting MTM intelligent surfaces and metasurface antenna arrays can be made stretchable and bendable, thereby allowing themselves to be deployed onto conformal platforms.
Congratulations, Michael!
Guest Speaker Series - Efficient AI Seminar: Towards Understanding the Complex Interplay between ML and Systems
ECE Colloquium - Yevette Carmichael, Beyond Conversations Consulting, LLC
Guest Speaker Series - Efficient AI Seminar - "Circuit and System InnovationsTowards Efficient Processing-in-Memory Accelerators for AI and Security"
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Meeting ID: 910 8811 8578
Passcode: 152430
ECE Colloquium - Dr. Diana Marculescu, University of Texas, Austin
Guest Speaker Series - Efficient AI Seminar - "Circuit Design and Silicon Prototypes for Compute-in-Memory for Deep Learning Inference Engine"
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Meeting ID: 963 1314 2105
Passcode: 746035
ECE Capstone Expo 2022
SAVE THE DATE: ECE CAPSTONE EXPO 2022
Senior Design Capstone Project focuses on gaining design experience in team-oriented projects involving one discipline or interweaving of multiple areas in electrical and computer engineering. At the end of this academic year, students will showcase their efforts at the “ECE Capstone Expo” event.
Date: April 27, 2022
Presentations: 11:00am-2pm
Guest Speaker Series: Efficient AI Seminar with Dr. Cong Hao
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Meeting ID: 974 0184 5316
Passcode: 643710