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BinarEye: An Always-On Energy-Accuracy-Scalable Binary CNN Processor
  With All Memory On Chip in 28nm CMOS

BinarEye: An Always-On Energy-Accuracy-Scalable Binary CNN Processor With All Memory On Chip in 28nm CMOS

16 April 2018
Bert Moons
Daniel Bankman
Lita Yang
B. Murmann
Marian Verhelst
    MQ
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Papers citing "BinarEye: An Always-On Energy-Accuracy-Scalable Binary CNN Processor With All Memory On Chip in 28nm CMOS"

11 / 11 papers shown
Title
xTern: Energy-Efficient Ternary Neural Network Inference on RISC-V-Based
  Edge Systems
xTern: Energy-Efficient Ternary Neural Network Inference on RISC-V-Based Edge Systems
Georg Rutishauser
Joan Mihali
Moritz Scherer
Luca Benini
34
1
0
29 May 2024
Learnable Heterogeneous Convolution: Learning both topology and strength
Learnable Heterogeneous Convolution: Learning both topology and strength
Rongzhen Zhao
Zhenzhi Wu
Qikun Zhang
35
6
0
13 Jan 2023
The Synergy of Complex Event Processing and Tiny Machine Learning in
  Industrial IoT
The Synergy of Complex Event Processing and Tiny Machine Learning in Industrial IoT
Haoyu Ren
Darko Anicic
Thomas Runkler
22
24
0
04 May 2021
An optical neural network using less than 1 photon per multiplication
An optical neural network using less than 1 photon per multiplication
Tianyu Wang
Shifan Ma
Logan G. Wright
Tatsuhiro Onodera
Brian C. Richard
Peter L. McMahon
55
177
0
27 Apr 2021
TinyOL: TinyML with Online-Learning on Microcontrollers
TinyOL: TinyML with Online-Learning on Microcontrollers
Haoyu Ren
Darko Anicic
Thomas Runkler
27
125
0
15 Mar 2021
Sound Event Detection with Binary Neural Networks on Tightly
  Power-Constrained IoT Devices
Sound Event Detection with Binary Neural Networks on Tightly Power-Constrained IoT Devices
G. Cerutti
Renzo Andri
Lukas Cavigelli
Michele Magno
Elisabetta Farella
Luca Benini
MQ
21
37
0
12 Jan 2021
Always-On 674uW @ 4GOP/s Error Resilient Binary Neural Networks with
  Aggressive SRAM Voltage Scaling on a 22nm IoT End-Node
Always-On 674uW @ 4GOP/s Error Resilient Binary Neural Networks with Aggressive SRAM Voltage Scaling on a 22nm IoT End-Node
Alfio Di Mauro
Francesco Conti
Pasquale Davide Schiavone
D. Rossi
Luca Benini
21
9
0
17 Jul 2020
A 28-nm Convolutional Neuromorphic Processor Enabling Online Learning
  with Spike-Based Retinas
A 28-nm Convolutional Neuromorphic Processor Enabling Online Learning with Spike-Based Retinas
Charlotte Frenkel
J. Legat
D. Bol
19
43
0
13 May 2020
Data-Driven Neuromorphic DRAM-based CNN and RNN Accelerators
Data-Driven Neuromorphic DRAM-based CNN and RNN Accelerators
T. Delbruck
Shih-Chii Liu
16
4
0
29 Mar 2020
Benchmarking TinyML Systems: Challenges and Direction
Benchmarking TinyML Systems: Challenges and Direction
Colby R. Banbury
Vijay Janapa Reddi
Max Lam
William Fu
A. Fazel
...
Jae-sun Seo
Jeff Sieracki
Urmish Thakker
Marian Verhelst
Poonam Yadav
117
230
0
10 Mar 2020
MorphIC: A 65-nm 738k-Synapse/mm$^2$ Quad-Core Binary-Weight Digital
  Neuromorphic Processor with Stochastic Spike-Driven Online Learning
MorphIC: A 65-nm 738k-Synapse/mm2^22 Quad-Core Binary-Weight Digital Neuromorphic Processor with Stochastic Spike-Driven Online Learning
Charlotte Frenkel
J. Legat
D. Bol
35
114
0
17 Apr 2019
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