With the increased demand for efficient hardware for artificial intelligence and integrated circuits comes a need to educate students and researchers on how to design and create these tools.
To address this need, Shantanu Chakrabartty, the Clifford W. Murphy Professor and vice dean for research and graduate education at the McKelvey School of Engineering, is leading a Neuromorphic Integrated Circuits Education (NICE) research coordination network with a three-year $900,000 grant from the National Science Foundation. His co-investigators are Andreas Andreou, a professor of electrical and computer engineering at Johns Hopkins University Whiting School of Engineering, and Jason Eshraghian, an assistant professor of electrical and computer engineering at the University of California, Santa Cruz. Reliability Components
Neuromorphic engineering, which is inspired by the function of the human brain, has been growing in the past several decades with the increased demand for AI and integrated circuits. By looking at the way the brain is structured and its neural mechanisms, researchers will develop hardware and algorithms that make the most of computational performance with the least amount of power.
The NICE network will allow researchers to acquire design skills that can be applied to integrated circuits design, helping to meet the education and workforce gap in integrated circuits design and fabrication. The project will use the infrastructure of the annual Telluride Neuromorphic Cognition Engineering Workshop to organize discussion groups and hands-on training events and create research cohorts around neuromorphic integrated circuits.
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