Cognitive computing building block: A versatile and efficient digital neuron model for neurosynaptic cores
Marching along the DARPA SyNAPSE roadmap, IBM unveils a trilogy of innovations towards
the TrueNorth cognitive computing system inspired by the brain's function and efficiency …
the TrueNorth cognitive computing system inspired by the brain's function and efficiency …
Cognitive computing systems: Algorithms and applications for networks of neurosynaptic cores
SK Esser, A Andreopoulos… - … Joint Conference on …, 2013 - ieeexplore.ieee.org
Marching along the DARPA SyNAPSE roadmap, IBM unveils a trilogy of innovations towards
the TrueNorth cognitive computing system inspired by the brain's function and efficiency …
the TrueNorth cognitive computing system inspired by the brain's function and efficiency …
Bottom-up and top-down neural processing systems design: Neuromorphic intelligence as the convergence of natural and artificial intelligence
While Moore's law has driven exponential computing power expectations, its nearing end
calls for new avenues for improving the overall system performance. One of these avenues …
calls for new avenues for improving the overall system performance. One of these avenues …
Truenorth: Design and tool flow of a 65 mw 1 million neuron programmable neurosynaptic chip
The new era of cognitive computing brings forth the grand challenge of developing systems
capable of processing massive amounts of noisy multisensory data. This type of intelligent …
capable of processing massive amounts of noisy multisensory data. This type of intelligent …
Neuromorphic electronic circuits for building autonomous cognitive systems
Several analog and digital brain-inspired electronic systems have been recently proposed
as dedicated solutions for fast simulations of spiking neural networks. While these …
as dedicated solutions for fast simulations of spiking neural networks. While these …
Spiking neural networks hardware implementations and challenges: A survey
M Bouvier, A Valentian, T Mesquida… - ACM Journal on …, 2019 - dl.acm.org
Neuromorphic computing is henceforth a major research field for both academic and
industrial actors. As opposed to Von Neumann machines, brain-inspired processors aim at …
industrial actors. As opposed to Von Neumann machines, brain-inspired processors aim at …
Cognitive computing programming paradigm: a corelet language for composing networks of neurosynaptic cores
Marching along the DARPA SyNAPSE roadmap, IBM unveils a trilogy of innovations towards
the TrueNorth cognitive computing system inspired by the brain's function and efficiency …
the TrueNorth cognitive computing system inspired by the brain's function and efficiency …
Comparison of artificial and spiking neural networks on digital hardware
S Davidson, SB Furber - Frontiers in Neuroscience, 2021 - frontiersin.org
Despite the success of Deep Neural Networks—a type of Artificial Neural Network (ANN)—in
problem domains such as image recognition and speech processing, the energy and …
problem domains such as image recognition and speech processing, the energy and …
TrueNorth: Accelerating from zero to 64 million neurons in 10 years
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 …
containing 1 million spiking neurons and 256 million low-precision synapses. Now, after a …
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
Drawing on neuroscience, we have developed a parallel, event-driven kernel for
neurosynaptic computation, that is efficient with respect to computation, memory, and …
neurosynaptic computation, that is efficient with respect to computation, memory, and …