Gordon Wilson
CEO and Co-Founder, Rain Neuromorphics

Topic:

End-to-End fully Analog, a quantum leap in AI Training efficiency, and an end to GPU Accelerators?

Abstract:

Rain has created analog neurons that are tiled across the chip surface creating a high-density CMOS neuromorphic processor. Instantiating millions of artificial neurons in a square centimeter enables massive neural networks to fit onto a single chip. The memristor is recognized as an ideal artificial synapse. Memristor is a combination of "memory" and "resistor"; it is a resistor capable of changing its resistance. Rain’s memristive synapses exist in the shells of the interconnect wires, stacked vertically on top of the neurons. The nanowires are randomly arranged on the surface of the chip. Emerging from this random placement is a powerful, sparse, brain-like topology: a small-world network. This connectivity allows the network to remain well connected even at massive scale. Using high efficient analog processing allows the device to provide GPU level of AI capabilities at a fraction of the operating cost.

Bio:

Gordon Wilson is the co-founder and CEO of Rain Neuromorphics, a company developing neuromorphic computer chips to enable brain-like artificial intelligence. Gordon holds a B.S. in Statistics and Mathematics from the University of Florida.

Please note that in-person conferences (i.e. AI Hardware Expo on May 5th-6th 2020, AI Enterprise Expo on August 25th-26th 2020 and AI Robotics Expo on November 12th-13th 2020 at SEMI, Milpitas, Silicon Valley) are converted into this virtual AI Expo series. 

Attendee Resources: Live Zoom Webinars, Community Rooms for each week/theme, Presentations and Recordings (after live sessions)