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Alexander Andreopoulos
Researcher at IBM
Publications - 33
Citations - 2901
Alexander Andreopoulos is an academic researcher from IBM. The author has contributed to research in topics: TrueNorth & Pixel. The author has an hindex of 17, co-authored 33 publications receiving 2259 citations. Previous affiliations of Alexander Andreopoulos include Honda & York University.
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Journal ArticleDOI
Convolutional networks for fast, energy-efficient neuromorphic computing
Steven K. Esser,Paul A. Merolla,John V. Arthur,Andrew S. Cassidy,Rathinakumar Appuswamy,Alexander Andreopoulos,David Berg,Jeffrey L. McKinstry,Timothy Melano,R Davis,Carmelo di Nolfo,Pallab Datta,Arnon Amir,Brian Taba,Myron D. Flickner,Dharmendra S. Modha +15 more
TL;DR: This approach allows the algorithmic power of deep learning to be merged with the efficiency of neuromorphic processors, bringing the promise of embedded, intelligent, brain-inspired computing one step closer.
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
Efficient and generalizable statistical models of shape and appearance for analysis of cardiac MRI.
TL;DR: A 44-fold increase in fitting speed and a segmentation accuracy that is on par with Gauss-Newton optimization, one of the most widely used optimization algorithms for such problems.
Journal ArticleDOI
50 Years of object recognition: Directions forward☆
TL;DR: It is argued that the next step in the evolution of object recognition algorithms will require radical and bold steps forward in terms of the object representations, as well as the learning and inference algorithms used.
Proceedings ArticleDOI
Cognitive computing programming paradigm: A Corelet Language for composing networks of neurosynaptic cores
Arnon Amir,Pallab Datta,William P. Risk,Andrew S. Cassidy,Jeffrey A. Kusnitz,Steve K. Esser,Alexander Andreopoulos,Theodore M. Wong,Myron D. Flickner,Rodrigo Alvarez-Icaza,Emmett McQuinn,Ben Shaw,Norm Pass,Dharmendra S. Modha +13 more
TL;DR: A new programming paradigm that permits construction of complex cognitive algorithms and applications while being efficient for TrueNorth and effective for programmer productivity is developed.