This video and the following timeline provide a retrospective
from 2004 to 2014 on the evolution of Brain-inspired Computing.
Illustration Credit: William Risk
Link to application is here.
This week, IBM and Cornell team presented a ACM Gordon Bell Prize Finalist paper at Supercomputing 2014:
Title: “Real-time Scalable Cortical Computing at 46 Giga-Synaptic OPS/Watt with
100× Speedup in Time-to-Solution and
100,000× Reduction in Energy-to-Solution”.
Authors: Andrew S. Cassidy, Rodrigo Alvarez-Icaza, Filipp Akopyan, Jun Sawada,
John V. Arthur, Paul A. Merolla, Pallab Datta, Marc Gonzalez Tallada,
Brian Taba, Alexander Andreopoulos, Arnon Amir, Steven K. Esser,
Jeff Kusnitz, Rathinakumar Appuswamy, Chuck Haymes, Bernard Brezzo,
Roger Moussalli, Ralph Bellofatto, Christian Baks, Michael Mastro,
Kai Schleupen, Charles E. Cox, Ken Inoue, Steve Millman, Nabil Imam,
Emmett McQuinn, Yutaka T. Nakamura, Ivan Vo, Chen Guo, Don Nguyen,
Scott Lekuch, Sameh Assad, Daniel Friedman, Bryan L. Jackson, Myron D. Flickner,
William P. Risk, Rajit Manohar, Dharmendra S. Modha
Drawing on neuroscience, we have developed a
parallel, event-driven kernel for neurosynaptic computation, that
is efficient with respect to computation, memory, and communication.
Building on the previously demonstrated highly-optimized
software expression of the kernel, here, we demonstrate
TrueNorth, a co-designed silicon expression of the kernel.
TrueNorth achieves five orders of magnitude reduction in energy-to-
solution and two orders of magnitude speedup in time-to-solution,
when running computer vision applications and complex
recurrent neural network simulations. Breaking path with the
von Neumann architecture, TrueNorth is a 4,096 core, 1 million
neuron, and 256 million synapse brain-inspired neurosynaptic
processor, that consumes 65mW of power running at real-time
and delivers performance of 46 Giga-Synaptic OPS/Watt. We
demonstrate seamless tiling of TrueNorth chips into arrays,
forming a foundation for cortex-like scalability. Unprecedented
time-to-solution, energy-to-solution, scale, and performance of
TrueNorth, combined with underlying flexibility of the kernel
enables a broad range of cognitive applications.
The long-term aspiration is to build
a “1%-human-scale” system with 4,096 processors one trillion synapses and that consumes
Illustration Credit: William Risk
On May 10-11, 2006, I chaired IBM’s
Almaden Institute on Cognitive Computing.
The Institute brought together over 165 attendees from over 57 different institutions and featured prominent speakers and panelists: Nobelist Gerald Edelman, The Neurosciences Institute, Henry Markram, EPFL/BlueBrain, Robert Hecht-Nielsen, UCSD, Jeff Hawkins, Palm/Numenta, James Albus, NIST, Theodore Berger, USC, Kwabena Boahen, Stanford, Ralph Linsker, IBM, Jerry Swartz, The Swartz Foundation, V. S. Ramachandran, UCSD, John Searle, UC Berkeley, Joaquin Fuster, UCLA, Leslie Valiant, Harvard University, Toby Berger, University of Virginia, and Christof Koch, Caltech.
Today, 8.5 years later, I chaired IBM’s Cognitive Systems Colloquium with
the goal of Taking Brain-Inspired Computing to Market.
The Colloquium gathered over 200 eminent, innovative thinkers from academia,
government, industry, research and the media.
Here are speakers and panelists:
The Colloquium also included a SyNAPSE Deep Dive that covered: TrueNorth Architecture,
TrueNorth Neuron Model, TrueNorth Chip with 1 million neurons and 256 million synapses,
Single Chip Board, 16 chip Board, Future Scaling Path,
Corelet Programming Language,
Videos from the event will be available in the near future. Here is a summary.