J
Jeff Kusnitz
Researcher at IBM
Publications - 4
Citations - 815
Jeff Kusnitz is an academic researcher from IBM. The author has contributed to research in topics: TrueNorth & Frame (networking). The author has an hindex of 4, co-authored 4 publications receiving 447 citations.
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Proceedings ArticleDOI
A Low Power, Fully Event-Based Gesture Recognition System
Arnon Amir,Brian Taba,David Berg,Timothy Melano,Jeffrey L. McKinstry,Carmelo di Nolfo,Tapan K. Nayak,Alexander Andreopoulos,Guillaume Garreau,Marcela Mendoza,Jeff Kusnitz,Michael DeBole,Steve K. Esser,Tobi Delbruck,Myron D. Flickner,Dharmendra S. Modha +15 more
TL;DR: This work presents the first gesture recognition system implemented end-to-end on event-based hardware, using a TrueNorth neurosynaptic processor to recognize hand gestures in real-time at low power from events streamed live by a Dynamic Vision Sensor (DVS).
Journal ArticleDOI
TrueNorth: Accelerating From Zero to 64 Million Neurons in 10 Years
Michael DeBole,Brian Taba,Arnon Amir,Filipp Akopyan,Alexander Andreopoulos,William P. Risk,Jeff Kusnitz,Carlos Tadeo Ortega Otero,Tapan K. Nayak,Rathinakumar Appuswamy,Peter J. Carlson,Andrew S. Cassidy,Pallab Datta,Steven K. Esser,Guillaume J. Garreau,Kevin L. Holland,Scott Lekuch,Michael Mastro,Jeffrey L. McKinstry,Carmelo di Nolfo,Brent Paulovicks,Jun Sawada,Kai Schleupen,Benjamin G. Shaw,Klamo Jennifer,Myron D. Flickner,John V. Arthur,Dharmendra S. Modha +27 more
TL;DR: IBM's brain-inspired processor is a massively parallel neural network inference engine containing 1 million spiking neurons and 256 million low-precision synapses, making it the largest neurosynaptic computer ever built.
Proceedings ArticleDOI
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
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,C. Haymes,Bernard Brezzo,Roger Moussalli,Ralph Bellofatto,Christian W. Baks,Michael Mastro,Kai Schleupen,Charles Edwin Cox,Ken Inoue,Steve Millman,Nabil Imam,Emmett McQuinn,Yutaka Nakamura,Ivan Vo,Chen Guok,Don Nguyen,Scott Lekuch,Sameh W. Asaad,Daniel Friedman,Bryan L. Jackson,Myron D. Flickner,William P. Risk,Rajit Manohar,Dharmendra S. Modha +37 more
TL;DR: True North 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.
Proceedings ArticleDOI
Truenorth ecosystem for brain-inspired computing: scalable systems, software, and applications
Jun Sawada,Filipp Akopyan,Andrew S. Cassidy,Brian Taba,Michael DeBole,Pallab Datta,Rodrigo Alvarez-Icaza,Arnon Amir,John V. Arthur,Alexander Andreopoulos,Rathinakumar Appuswamy,Heinz Ing Grad Baier,Davis,David Berg,Carmelo di Nolfo,Steven K. Esser,Myron D. Flickner,Thomas A. Horvath,Bryan L. Jackson,Jeff Kusnitz,Scott Lekuch,Michael Mastro,Timothy Melano,Paul A. Merolla,Steven Edward Millman,Tapan K. Nayak,Norm Pass,Hartmut Penner,William P. Risk,Kai Schleupen,Benjamin Shaw,Hayley Wu,Brian Giera,Adam Moody,T. Nathan Mundhenk,Brian Van Essen,Eric X. Wang,David P. Widemann,Qing Wu,William E. Murphy,Jamie K. Infantolino,James A. Ross,Dale R. Shires,Manuel M. Vindiola,Raju R. Namburu,Dharmendra S. Modha +45 more
TL;DR: This paper describes the hardware and software ecosystem encompassing the brain-inspired TrueNorth processor – a 70mW reconfigurable silicon chip with 1 million neurons, 256 million synapses, and 4096 parallel and distributed neural cores.