A million spiking-neuron integrated circuit with a scalable communication network and interface

Paul Merolla, John V. Arthur, Rodrigo Alvarez-Icaza, +17

Science

Scalable Communication NetworkEngineeringComputational NeuroscienceContemporary Silicon TechnologyNeurocomputers +13

Convolutional networks for fast, energy-efficient neuromorphic computing

Steven K. Esser, Paul Merolla, John V. Arthur, +13

Proceedings of the National Academy of Sciences

Learned Step Size Quantization

Steven K. Esser, Jeffrey L. McKinstry, Deepika Bablani, +2

arXiv (Cornell University)

Artificial IntelligenceHigh AccuracyConvolutional Neural NetworkEngineeringMachine Learning +12

Backpropagation for energy-efficient neuromorphic computing

Steve K. Esser, Rathinakumar Appuswamy, Paul Merolla, +2

Neural Information Processing Systems

EngineeringMachine LearningNeural Networks (Machine Learning)Embedded Neural NetworksNeurochip +15

TrueNorth: Accelerating From Zero to 64 Million Neurons in 10 Years

Michael DeBole, Brian Taba, Arnon Amir, +25

Computer

EngineeringNeural RecodingComputer ArchitectureNeurochipBrain-inspired Processor +16

Cognitive computing systems: Algorithms and applications for networks of neurosynaptic cores

Steve K. Esser, Alexander Andreopoulos, Rathinakumar Appuswamy, +20

Convolutional Neural NetworkEngineeringMachine LearningAi FoundationMultimodal Learning +20

Complete Mutually Orthogonal Golay Complementary Sets From Reed–Muller Codes

Rathinakumar Appuswamy, A. K. Chaturvedi

IEEE Transactions on Information Theory

Golay Complementary SetsAlgebraic Coding TheoryDiscrete MathematicsPartially Ordered SetCoding Theory +3

LEARNED STEP SIZE QUANTIZATION

Steven K. Esser, Jeffrey L. McKinstry, Deepika Bablani, +2

International Conference on Learning Representations

Artificial IntelligenceHigh AccuracyConvolutional Neural NetworkEngineeringMachine Learning +12

Deep neural networks are robust to weight binarization and other non-linear distortions

Paul Merolla, Rathinakumar Appuswamy, John V. Arthur, +2

arXiv (Cornell University)

Artificial IntelligenceConvolutional Neural NetworkEngineeringMachine LearningAutoencoders +16

Real-Time Scalable Cortical Computing at 46 Giga-Synaptic OPS/Watt with ~100× Speedup in Time-to-Solution and ~100,000× Reduction in Energy-to-Solution

Andrew S. Cassidy, Rodrigo Alvarez-Icaza, Filipp Akopyan, +35

EngineeringComputer ArchitectureNeurochipSocial SciencesTrue North Chips +14