Daniel Bankman

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

Mixed-signal circuits for embedded machine-learning applications

Boris Murmann, Daniel Bankman, Elaina Chai et al. · 2015 · 52 citations

Engineering, Machine Learning, Machine Learning Algorithms +16

An 8-bit, 16 input, 3.2 pJ/op switched-capacitor dot product circuit in 28-nm FDSOI CMOS

Daniel Bankman, Boris Murmann · 2016 · 48 citations

Electrical Engineering, Engineering, Vlsi Design +12

Bit Error Tolerance of a CIFAR-10 Binarized Convolutional Neural Network Processor

Lita Yang, Daniel Bankman, Bert Moons et al. · 2018 · 39 citations

Sram Voltage Scaling, Electrical Engineering, Convolutional Neural Network +15