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CANCELLED: CAMP Seminar: Efficient Neuromorphic Computing Enabled by Spin-Transfer Torque: Devices, Circuits and Systems
Add to Calendar 2020-04-13T19:30:00 2020-04-13T20:30:00 UTC CANCELLED: CAMP Seminar: Efficient Neuromorphic Computing Enabled by Spin-Transfer Torque: Devices, Circuits and Systems

Physics CAMP Seminar

Davey Lab (339)
Start DateMon, Apr 13, 2020
3:30 PM
to
End DateMon, Apr 13, 2020
4:30 PM
Presented By
Abhronil Sengupta, Penn State

Physics CAMP Seminar

While research in designing brain-inspired algorithms have attained a stage where such Artificial Intelligence platforms are being able to outperform humans at several cognitive tasks, an often-unnoticed cost is the huge computational expenses required for running these algorithms in hardware. Bridging the computational efficiency gap necessitates the exploration of devices, circuits and architectures that provide a better match to the computational primitives of biological processing – neurons and synapses, and which require a significant rethinking of traditional von-Neumann based computing.

Recent experiments in spintronic technologies are revealing immense possibilities of implementing a plethora of neural and synaptic functionalities by single spintronic device structures that can be operated at very low terminal voltages. Leveraging insights from such experiments, I will present a multi-disciplinary perspective across the entire stack of devices, circuits and systems to envision the design of an "All-Spin" neuromorphic processor enabled with on-chip learning functionalities that can potentially achieve two to three orders of magnitude energy improvement in comparison to state-of-the-art CMOS implementations. I will conclude the presentation by providing my vision of enabling end-to-end cognitive intelligence across the computing stack that combines knowledge from devices and circuits to machine learning and computational neuroscience.