C
Carmelo di Nolfo
Researcher at IBM
Publications - 12
Citations - 2937
Carmelo di Nolfo is an academic researcher from IBM. The author has contributed to research in topics: Artificial neural network & TrueNorth. The author has an hindex of 8, co-authored 12 publications receiving 2098 citations. Previous affiliations of Carmelo di Nolfo include École Polytechnique Fédérale de Lausanne.
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Journal ArticleDOI
Experimental Demonstration and Tolerancing of a Large-Scale Neural Network (165 000 Synapses) Using Phase-Change Memory as the Synaptic Weight Element
Geoffrey W. Burr,Robert M. Shelby,Severin Sidler,Carmelo di Nolfo,Junwoo Jang,Irem Boybat,Rohit S. Shenoy,Pritish Narayanan,Kumar Virwani,E.U. Giacometti,B. N. Kurdi,Hyunsang Hwang +11 more
TL;DR: Using 2 phase-change memory devices per synapse, a 3-layer perceptron network is trained on a subset of the MNIST database of handwritten digits using a backpropagation variant suitable for NVM+selector crossbar arrays, obtaining a training (generalization) accuracy of 82.2%.
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.
Journal ArticleDOI
Equivalent-accuracy accelerated neural-network training using analogue memory
Stefano Ambrogio,Pritish Narayanan,Hsinyu Tsai,Robert M. Shelby,Irem Boybat,Irem Boybat,Carmelo di Nolfo,Carmelo di Nolfo,Severin Sidler,Severin Sidler,Massimo Giordano,Martina Bodini,Martina Bodini,Nathan C. P. Farinha,Benjamin Killeen,Christina Cheng,Yassine Jaoudi,Geoffrey W. Burr +17 more
TL;DR: Mixed hardware–software neural-network implementations that involve up to 204,900 synapses and that combine long-term storage in phase-change memory, near-linear updates of volatile capacitors and weight-data transfer with ‘polarity inversion’ to cancel out inherent device-to-device variations are demonstrated.
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.