Matches in SemOpenAlex for { <https://semopenalex.org/work/W3038738172> ?p ?o ?g. }
Showing items 1 to 69 of
69
with 100 items per page.
- W3038738172 endingPage "11" @default.
- W3038738172 startingPage "1" @default.
- W3038738172 abstract "The human brain can be viewed as an extremely power-efficient biological computer. As such, there have been many efforts to create brain-inspired processing systems to enable advances in low-power data processing. An example of brain-inspired processing architecture is the IBM TrueNorth Neurosynaptic System, a Spiking Neural Network architecture for deploying ultra-low power machine learning (ML) models and algorithms. For the first time ever, an advanced scalable computing architecture was demonstrated using 16 TrueNorth neuromorphic processors containing in aggregate over 16 million neurons. This system, called the NS16e, was used to demonstrate new ML techniques including the exploitation of optical and radar sensor data simultaneously, while consuming a fraction of the power compared to traditional Von Neumann computing architectures. The number of applications that have requirements for computing architectures that can operate in size, weight and power-constrained environments continues to grow at an outstanding pace. These applications include processors for vehicles, homes, and real-time data exploitation needs for intelligence, surveillance, and reconnaissance missions. This research included the successful exploitation of optical and radar data using the NS16e system. Processing performance was assessed, and the power utilization was analyzed. The NS16e system never used more than 15 W, with the contribution from the 16 TrueNorth processors utilizing less than 5 W. The image processing throughput was 16,000 image chips per second, corresponding to 1,066 image chips per second for each watt of power consumed." @default.
- W3038738172 created "2020-07-10" @default.
- W3038738172 creator A5005806831 @default.
- W3038738172 creator A5028117232 @default.
- W3038738172 creator A5058472633 @default.
- W3038738172 creator A5059812311 @default.
- W3038738172 creator A5063678721 @default.
- W3038738172 creator A5076456814 @default.
- W3038738172 creator A5077700375 @default.
- W3038738172 date "2020-01-01" @default.
- W3038738172 modified "2023-09-24" @default.
- W3038738172 title "Demonstrating Advanced Machine Learning and Neuromorphic Computing Using IBM’s NS16e" @default.
- W3038738172 cites W2060956313 @default.
- W3038738172 cites W2159951683 @default.
- W3038738172 cites W2163630896 @default.
- W3038738172 cites W2314470091 @default.
- W3038738172 cites W2338037132 @default.
- W3038738172 cites W2902042308 @default.
- W3038738172 cites W2945944624 @default.
- W3038738172 cites W3003876377 @default.
- W3038738172 doi "https://doi.org/10.1007/978-3-030-52249-0_1" @default.
- W3038738172 hasPublicationYear "2020" @default.
- W3038738172 type Work @default.
- W3038738172 sameAs 3038738172 @default.
- W3038738172 citedByCount "1" @default.
- W3038738172 countsByYear W30387381722022 @default.
- W3038738172 crossrefType "book-chapter" @default.
- W3038738172 hasAuthorship W3038738172A5005806831 @default.
- W3038738172 hasAuthorship W3038738172A5028117232 @default.
- W3038738172 hasAuthorship W3038738172A5058472633 @default.
- W3038738172 hasAuthorship W3038738172A5059812311 @default.
- W3038738172 hasAuthorship W3038738172A5063678721 @default.
- W3038738172 hasAuthorship W3038738172A5076456814 @default.
- W3038738172 hasAuthorship W3038738172A5077700375 @default.
- W3038738172 hasConcept C118524514 @default.
- W3038738172 hasConcept C151927369 @default.
- W3038738172 hasConcept C154945302 @default.
- W3038738172 hasConcept C171250308 @default.
- W3038738172 hasConcept C192562407 @default.
- W3038738172 hasConcept C41008148 @default.
- W3038738172 hasConcept C50644808 @default.
- W3038738172 hasConcept C70388272 @default.
- W3038738172 hasConceptScore W3038738172C118524514 @default.
- W3038738172 hasConceptScore W3038738172C151927369 @default.
- W3038738172 hasConceptScore W3038738172C154945302 @default.
- W3038738172 hasConceptScore W3038738172C171250308 @default.
- W3038738172 hasConceptScore W3038738172C192562407 @default.
- W3038738172 hasConceptScore W3038738172C41008148 @default.
- W3038738172 hasConceptScore W3038738172C50644808 @default.
- W3038738172 hasConceptScore W3038738172C70388272 @default.
- W3038738172 hasLocation W30387381721 @default.
- W3038738172 hasOpenAccess W3038738172 @default.
- W3038738172 hasPrimaryLocation W30387381721 @default.
- W3038738172 hasRelatedWork W1594457419 @default.
- W3038738172 hasRelatedWork W2043252394 @default.
- W3038738172 hasRelatedWork W2892022932 @default.
- W3038738172 hasRelatedWork W2912822519 @default.
- W3038738172 hasRelatedWork W2981019404 @default.
- W3038738172 hasRelatedWork W3016001324 @default.
- W3038738172 hasRelatedWork W4225977302 @default.
- W3038738172 hasRelatedWork W4287816454 @default.
- W3038738172 hasRelatedWork W4287824171 @default.
- W3038738172 hasRelatedWork W3093576596 @default.
- W3038738172 isParatext "false" @default.
- W3038738172 isRetracted "false" @default.
- W3038738172 magId "3038738172" @default.
- W3038738172 workType "book-chapter" @default.