Bert Moons

14.5 Envision: A 0.26-to-10TOPS/W subword-parallel dynamic-voltage-accuracy-frequency-scalable Convolutional Neural Network processor in 28nm FDSOI

Bert Moons, Roel Uytterhoeven, Wim Dehaene et al. · 2017 · 467 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +21

An Energy-Efficient Precision-Scalable ConvNet Processor in 40-nm CMOS

Bert Moons, Marian Verhelst · IEEE Journal of Solid-State Circuits · 2016 · 194 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +13

An Always-On 3.8 <inline-formula> <tex-math notation="LaTeX">$\mu$ </tex-math> </inline-formula>J/86% CIFAR-10 Mixed-Signal Binary CNN Processor With All Memory on Chip in 28-nm CMOS

Daniel Bankman, Lita Yang, Bert Moons et al. · IEEE Journal of Solid-State Circuits · 2018 · 182 citations

Convolutional Neural Network, Engineering, Machine Learning +14

An always-on 3.8μJ/86% CIFAR-10 mixed-signal binary CNN processor with all memory on chip in 28nm CMOS

Daniel Bankman, Lita Yang, Bert Moons et al. · 2018 · 165 citations

Architectural Parallelism, Convolutional Neural Network, Image Classification +15

Embedded Deep Neural Network Processing: Algorithmic and Processor Techniques Bring Deep Learning to IoT and Edge Devices

Marian Verhelst, Bert Moons · IEEE Solid-State Circuits Magazine · 2017 · 149 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +18