Introduction to Neuromorphic Computing and Future of ML Hardware -- Justin Long


Details
Speaker: Justin Long, Public Cloud Specialist @ Intel
Title: Introduction to Neuromorphic Computing and Future of ML Hardware
Abstract: Neuromorphic computing is seen as the next step into mimicking human cognition, extending beyond basic sense and perception of ML systems. Deep learning training and inference is “brittle" due to its dependence on literal, deterministic views. This talk introduces concepts emerging in neuromorphic computing, including Spiking Neural Networks (SNNs) and brain-inspired silicon optimized for SNNs including Intel’s own Loihi chip. Finally, learn how ASICs will bridge us between today’s deep learning to neuromorphic computing.
Doors will open at 6 and the talk will start at 6:30.
Important!: To attend this event in-person, you must fill out our registration form with your name and email address by 24 hours before the event. This is a requirement of our hosts at Northeastern University. Building security will not let in people whose names do not appear on the registration list. RSVPing through this event page is not enough. All in-person participants must respect Northeastern's policies.
Please use this link for a live stream of the event.
About Justin Long “J-Lo”
Justin is a Public Cloud Specialist with nearly two decades of experience in software. Justin works with some of Intel’s biggest users to architect develop solutions to challenging computing problems. Justin has participated in a diverse number of projects in ML/AI and distributed computing. In his spare time, Justin is also an active investor in the renewable energy industry.
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Introduction to Neuromorphic Computing and Future of ML Hardware -- Justin Long