This presentation covers a novel micro-electrical mechanical systems (MEMS) hardware for edge AI computing applications. Inspired by the neural system in insects, this computing hardware performs localized sensing and computing at the sensing physical layer. Thus, it will require very little power, eliminating the need for a microprocessor and energy-hungry circuitry for conditioning and reading the output of the traditional sensor.

male wearing black suit coat and blue shirt standing in front of lab equipment
Speaker

Fadi Alsaleem

Dr. Fadi Alsaleem is an associate professor at the College of Engineering at the University of Nebraska at Lincoln (UNL). He has over six years of industry experience related to IoT devices. He received over 7.5 million in funding from federal funding agencies such as NSF, DOE, and IARPA to support his research work related to MEMS analog computers.