Neuromorphic Silicon Learning Machines

A National Strategic Computing Initiative
WEBINAR Series Event 

Electrical and Physical Characterization of Nano- and Non-Linear Devices for Future Computing

SPaFRutgers University's Office of Advanced Research Computing (OARC) and Rutgers Discovery Informatics Institute (RDI2) are pleased to collaborate as one of the nation's few host sites for the limited-seat National Strategic Computing Initiative webinar series by the National Institute of Standards and Technology.

Please join us on Tuesday, April 11th from 1:00 - 3:00 pm as we present the NSCI WEBINAR Series Event "Neuromorphic Silicon Learning Machines" with speaker Gert Cauwenberghs of UC San Diego (Please note, our events have moved to Room 601 in the CoRE Building and are limited-access simulcast.)

About the presentation:" “Learning and adaptation are key to natural and artificial intelligence in complex and variable environments.  Advances in machine learning and system-on-chip very-large-scale-integration have led to the development of massively parallel silicon learning machines with pervasive real-time adaptive intelligence that begin to approach the efficacy and resilience of biological neural systems, and already exceed the nominal energy efficiency of synaptic transmission in the mammalian brain.  I will highlight examples of neuromorphic learning systems-on-chips with applications in template-based pattern recognition, vision processing, and human-computer interfaces, and outline emerging scientific directions and engineering challenges in their large-scale deployment. " (Gert Cauwenberghs)

Click here for the full calendar of NSCI Seminar events so you can take advantage of this exciting opportunity!

Register Now!