MorphIC: A 65-nm 738k-Synapse/mm Quad-Core Binary-Weight Digital Neuromorphic Processor With Stochastic Spike-Driven Online Learning
Recent trends in the field of neural network accelerators investigate weight quantization as a
means to increase the resourceand power-efficiency of hardware devices. As full on-chip …
means to increase the resourceand power-efficiency of hardware devices. As full on-chip …
MorphIC: A 65-nm 738k-Synapse/mm2 Quad-Core Binary-Weight Digital Neuromorphic Processor with Stochastic Spike-Driven Online Learning
C Frenkel, JD Legat, D Bol - IEEE Transactions on Biomedical …, 2019 - dial.uclouvain.be
Recent trends in the field of neural network accelerators investigate weight quantization as a
means to increase the resource-and power-efficiency of hardware devices. As full on-chip …
means to increase the resource-and power-efficiency of hardware devices. As full on-chip …
[PDF][PDF] MorphIC: A 65-nm 738k-Synapse/mm 2 Quad-Core Binary-Weight Digital Neuromorphic Processor with Stochastic Spike-Driven Online Learning
C Frenkel, JD Legat, D Bol - 2019 - academia.edu
Recent trends in the field of neural network accelerators investigate weight quantization as a
means to increase the resource-and power-efficiency of hardware devices. As full on-chip …
means to increase the resource-and power-efficiency of hardware devices. As full on-chip …
MorphIC: A 65-nm 738k-Synapse/mm 2 Quad-Core Binary-Weight Digital Neuromorphic Processor With Stochastic Spike-Driven Online Learning
C Frenkel, JD Legat, D Bol - IEEE transactions on …, 2019 - pubmed.ncbi.nlm.nih.gov
Recent trends in the field of neural network accelerators investigate weight quantization as a
means to increase the resource-and power-efficiency of hardware devices. As full on-chip …
means to increase the resource-and power-efficiency of hardware devices. As full on-chip …
MorphIC: A 65-nm 738k-Synapse/mm Quad-Core Binary-Weight Digital Neuromorphic Processor with Stochastic Spike-Driven Online Learning
C Frenkel, JD Legat, D Bol - arXiv e-prints, 2019 - ui.adsabs.harvard.edu
Recent trends in the field of neural network accelerators investigate weight quantization as a
means to increase the resource-and power-efficiency of hardware devices. As full on-chip …
means to increase the resource-and power-efficiency of hardware devices. As full on-chip …
MorphIC: A 65-nm 738k-Synapse/mm Quad-Core Binary-Weight Digital Neuromorphic Processor with Stochastic Spike-Driven Online Learning
C Frenkel, JD Legat, D Bol - arXiv preprint arXiv:1904.08513, 2019 - arxiv.org
Recent trends in the field of neural network accelerators investigate weight quantization as a
means to increase the resource-and power-efficiency of hardware devices. As full on-chip …
means to increase the resource-and power-efficiency of hardware devices. As full on-chip …
[引用][C] MorphIC: A 65-nm 738k-Synapse/mm Quad-Core Binary-Weight Digital Neuromorphic Processor With Stochastic Spike-Driven Online Learning
C Frenkel, JD Legat, D Bol - IEEE Transactions on Biomedical Circuits …, 2019 - cir.nii.ac.jp
MorphIC: A 65-nm 738k-Synapse/mm$^2$ Quad-Core Binary-Weight Digital Neuromorphic
Processor With Stochastic Spike-Driven Online Learning | CiNii Research CiNii 国立情報学 …
Processor With Stochastic Spike-Driven Online Learning | CiNii Research CiNii 国立情報学 …
MorphIC: A 65-nm 738k-Synapse/mm 2 Quad-Core Binary-Weight Digital Neuromorphic Processor With Stochastic Spike-Driven Online Learning.
C Frenkel, JD Legat, D Bol - IEEE Transactions on Biomedical …, 2019 - europepmc.org
Recent trends in the field of neural network accelerators investigate weight quantization as a
means to increase the resource-and power-efficiency of hardware devices. As full on-chip …
means to increase the resource-and power-efficiency of hardware devices. As full on-chip …