M
Michael DeBole
Researcher at IBM
Publications - 26
Citations - 1038
Michael DeBole is an academic researcher from IBM. The author has contributed to research in topics: Neuromorphic engineering & TrueNorth. The author has an hindex of 13, co-authored 26 publications receiving 666 citations. Previous affiliations of Michael DeBole include Pennsylvania State University.
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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
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.
Proceedings ArticleDOI
A Hardware Efficient Support Vector Machine Architecture for FPGA
TL;DR: This paper presents an FPGA friendly implementation of a Gaussian Radial Basis SVM well suited to classification of grayscale images and identifies a novel optimization of the SVM formulation that dramatically reduces the computational inefficiency of the algorithm.
Proceedings ArticleDOI
Accelerating neuromorphic vision algorithms for recognition
Ahmed Al Maashri,Michael DeBole,Matthew Cotter,Nandhini Chandramoorthy,Yang Xiao,Vijaykrishnan Narayanan,Chaitali Chakrabarti +6 more
TL;DR: This paper presents the design and evaluation of hardware accelerators for extracting visual features for universal recognition and demonstrates significant performance enhancement and power efficiencies when compared to CMP and GPU platforms.