Name
Abstract | ||
|---|---|---|
IBM's brain-inspired processor is a massively parallel neural network inference engine containing 1 million spiking neurons and 256 million low-precision synapses. Now, after a decade of fundamental research spanning neuroscience, architecture, chips, systems, software and algorithms, IBM has delivered the largest neurosynaptic computer ever built. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/MC.2019.2903009 | Computer |
Keywords | Field | DocType |
Neurons,Synapses,Computer architecture,Brain modeling,Computational modeling,Random access memory,Biological neural networks | Architecture,Computer architecture,IBM,Software engineering,Computer science,Massively parallel,Software,Inference engine,Artificial neural network,TrueNorth | Journal |
Volume | Issue | ISSN |
52 | 5 | 0018-9162 |
Citations | PageRank | References |
7 | 0.50 | 0 |
Authors | ||
28 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michael V. DeBole | 1 | 7 | 0.50 |
| Brian Taba | 2 | 7 | 0.50 |
| Arnon Amir | 3 | 7 | 0.50 |
| Filipp Akopyan | 4 | 304 | 15.56 |
| Alexander Andreopoulos | 5 | 434 | 20.41 |
| William P. Risk | 6 | 150 | 5.93 |
| Jeff Kusnitz | 7 | 7 | 0.50 |
| Carlos Ortega Otero | 8 | 7 | 0.50 |
| Tapan K Nayak | 9 | 21 | 3.93 |
| Rathinakumar Appuswamy | 10 | 239 | 14.94 |
| Peter J. Carlson | 11 | 7 | 0.50 |
| Andrew S. Cassidy | 12 | 290 | 17.54 |
| P. Datta | 13 | 404 | 20.05 |
| Steven K. Esser | 14 | 266 | 16.08 |
| Guillaume Garreau | 15 | 7 | 0.50 |
| Kevin L. Holland | 16 | 7 | 0.50 |
| Scott Lekuch | 17 | 18 | 1.56 |
| Michael Mastro | 18 | 18 | 1.56 |
| Jeffrey L. McKinstry | 19 | 7 | 0.50 |
| Carmelo di Nolfo | 20 | 156 | 7.63 |
| Brent Paulovicks | 21 | 17 | 2.42 |
| Jun Sawada | 22 | 325 | 21.16 |
| Kai Schleupen | 23 | 11 | 1.06 |
| Benjamin Shaw | 24 | 7 | 0.50 |
| Jennifer L. Klamo | 25 | 7 | 0.50 |
| Myron D. Flickner | 26 | 7 | 0.50 |
| John V. Arthur | 27 | 7 | 0.50 |
| Dharmendra S. Modha | 28 | 7 | 0.50 |