Computing platforms for decades have been designed around a basic Boolean switch – ‘The Transistor.’ Over the years, the vision for computing has changed drastically from room-sized computers to handheld devices. However, the underlying hardware principles based on digital switches and synchronous logic have fundamentally remained unaltered. No wonder today’s computing platforms fail to provide the desired power, performance, and area scaling required for the emerging class of applications, including artificial intelligence, edge computing, Internet-of-Things, etc. As such, the vision for enabling ‘Ubiquitous Computing’ needs re-thinking the entire computing stack, including Materials, Devices, Circuits, Architecture, and Software for enabling targeted end-applications.

At the Application-Specific Intelligent Computing (ASIC) Lab, we apply “alternate physical state variables” such as electrons, photons, phonons, and magnetic spins to deliver next-generation hardware fabrics for:

Viterbi School of Engineering highlights our work on Retina-Inspired cameras

Our research on retina-inspired next generation of neuromorphic cameras in collaboration with Prof. Gregory Schwartz, Northwestern University and Prof. Maryam Parsa, George Mason University has been highlighted by Viterbi School of Engineering. USC ISI Research Shows a Promising Future for Animal-like Computer Vision   – USC Viterbi | School of Engineering

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