Envision: A 0.26-to-10TOPS/W subword-parallel dynamic-voltage-accuracy-frequency-scalable Convolutional Neural Network processor in 28nm FDSOI B Moons, R Uytterhoeven, W Dehaene, M Verhelst
Solid-State Circuits Conference (ISSCC), 2017 IEEE International, 246-247, 2017
541 * 2017 An Always-On 3.8 D Bankman, L Yang, B Moons, M Verhelst, B Murmann
IEEE Journal of Solid-State Circuits 54 (1), 158-172, 2018
351 2018 A review on Internet of Things solutions for intelligent energy control in buildings for smart city applications I Khajenasiri, A Estebsari, M Verhelst, G Gielen
Energy Procedia 111, 770-779, 2017
314 2017 Wireless communication technology, apparatuses, and methods E Alpman, AL Amadjikpe, O Asaf, K Azadet, R Banin, M Baryakh, A Bazov, ...
US Patent 11,424,539, 2022
300 2022 Benchmarking tinyml systems: Challenges and direction CR Banbury, VJ Reddi, M Lam, W Fu, A Fazel, J Holleman, X Huang, ...
arXiv preprint arXiv:2003.04821, 2020
295 2020 A 0.3–2.6 TOPS/W precision-scalable processor for real-time large-scale ConvNets B Moons, M Verhelst
2016 IEEE Symposium on VLSI Circuits (VLSI-Circuits), 1-2, 2016
230 2016 An energy-efficient precision-scalable ConvNet processor in 40-nm CMOS B Moons, M Verhelst
IEEE Journal of solid-state Circuits 52 (4), 903-914, 2016
211 2016 Embedded deep neural network processing: Algorithmic and processor techniques bring deep learning to iot and edge devices M Verhelst, B Moons
IEEE Solid-State Circuits Magazine 9 (4), 55-65, 2017
198 2017 Minimum energy quantized neural networks B Moons, K Goetschalckx, N Van Berckelaer, M Verhelst
2017 51st Asilomar Conference on Signals, Systems, and Computers, 1921-1925, 2017
182 2017 Energy-efficient convnets through approximate computing B Moons, B De Brabandere, L Van Gool, M Verhelst
2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 1-8, 2016
149 2016 The SINS Database for Detection of Daily Activities in a Home Environment Using an Acoustic Sensor Network. G Dekkers, S Lauwereins, B Thoen, MW Adhana, H Brouckxon, ...
DCASE, 32-36, 2017
145 2017 ZigZag: Enlarging joint architecture-mapping design space exploration for DNN accelerators L Mei, P Houshmand, V Jain, S Giraldo, M Verhelst
IEEE Transactions on Computers 70 (8), 1160-1174, 2021
134 2021 A 90 nm CMOS, $6\{\upmu {\text {W}}} $ Power-Proportional Acoustic Sensing Frontend for Voice Activity Detection KMH Badami, S Lauwereins, W Meert, M Verhelst
IEEE Journal of Solid-State Circuits 51 (1), 291-302, 2015
133 2015 BinarEye: An always-on energy-accuracy-scalable binary CNN processor with all memory on chip in 28nm CMOS B Moons, D Bankman, L Yang, B Murmann, M Verhelst
2018 IEEE Custom Integrated Circuits Conference (CICC), 1-4, 2018
130 2018 A 172µW compressive sampling photoplethysmographic readout with embedded direct heart-rate and variability extraction from compressively sampled data VR Pamula, JM Valero-Sarmiento, L Yan, A Bozkurt, C Van Hoof, ...
IEEE Transactions on Biomedical Circuits and Systems 11 (3), 487-496, 2017
126 * 2017 A 2.4-GHz 20–40-MHz channel WLAN digital outphasing transmitter utilizing a delay-based wideband phase modulator in 32-nm CMOS A Ravi, P Madoglio, H Xu, K Chandrashekar, M Verhelst, S Pellerano, ...
IEEE Journal of Solid-State Circuits 47 (12), 3184-3196, 2012
109 2012 Where analog meets digital: Analog? to? information conversion and beyond M Verhelst, A Bahai
IEEE Solid-state circuits magazine 7 (3), 67-80, 2015
108 2015 Vocell: A 65-nm Speech-Triggered Wake-Up SoC for 10- JSP Giraldo, S Lauwereins, K Badami, M Verhelst
IEEE Journal of Solid-State Circuits 55 (4), 868-878, 2020
100 2020 Review and benchmarking of precision-scalable multiply-accumulate unit architectures for embedded neural-network processing V Camus, L Mei, C Enz, M Verhelst
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 9 (4 …, 2019
99 2019 A CMOS ultra-wideband receiver for low data-rate communication J Ryckaert, M Verhelst, M Badaroglu, S D'Amico, V De Heyn, C Desset, ...
IEEE Journal of Solid-State Circuits 42 (11), 2515-2527, 2007
87 2007 
Bert MoonsAxelera AI, previously at Qualcomm AI Research and KU LeuvenGeverifieerd e-mailadres voor axelera.ai
