The Neuromorphic Computing Lab at The Pennsylvania State University is located in the School of Electrical Engineering and Computer Science. The group is directed by Prof. Abhronil Sengupta. The lab is also affiliated with the Materials Research Institute (MRI) and Center for Artificial Intelligence Foundations and Engineered Systems (CAFE) at Penn State. The mission of the lab is aptly described by the US Nanotechnology-Inspired Grand Challenge for Future Computing:
“Create a new type of computer that can proactively interpret and learn from data, solve unfamiliar problems using what it has learned, and operate with the energy efficiency of the human brain”
We believe achieving machine intelligence with brain-scale efficiency will be enabled by an end-to-end research effort ranging from sensory processing to neuromimetic hardware and associated learning methodologies. To that end, we are driven by a highly inter-disciplinary perspective across the computing stack that combines knowledge from devices and circuits to machine learning and computational neuroscience. The lab acknowledges current and past support from the National Science Foundation (CCF, ECCS and BCS Divisions), NSF CAREER program, NSF EFRI Program on Brain-Inspired Dynamics for Engineering Energy-Efficient Circuits and Artificial Intelligence (BRAID), NSF IUCRC Center for Advanced Electronics Through Machine Learning, Army Research Office Early Career Program, Department of Energy (ASCR program and BES sponsored Energy Frontier Research Center for 3D Ferroelectric Microelectronics) and Penn State Materials Research Institute. Our corporate sponsors (including in-kind support) and collaborators include Sandia National Labs, Intel Neuromorphic Research Community, Facebook Reality Labs, BrainChip, Oracle for Research and Quantum Ventura.
