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An efficient analog convolutional neural network hardware accelerator enabled by a novel memoryless architecture for insect-sized robots

author
Dadras, Iman
Ahmadilivani, Mohammad Hasan
Banerji, Saoni
Raik, Jaan
Abloo, Alvo
statement of authorship
Iman Dadras, Mohammad Hasan Ahmadilivani, Saoni Banerji, Jaan Raik, Alvo Abloo
source
2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST) : Bremen, Germany : 08-10 June 2022
publisher
IEEE
year of publication
2022
pages
p. 1-6
conference name, date
2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST) : 08-10 June 2022
conference location
Bremen, Germany
url
https://doi.org/10.1109/MOCAST54814.2022.9837551
subject term
robotid
riistvara
infotehnoloogia
tehisnärvivõrgud
keyword
analog CNN
hardware accelerator
memoryless CNN
mixed-signal design
low-power ASIC design
insect-sized robots
notes
Bibliogr.: 27 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
arvutisüsteemide instituut
language
inglise
Reserch Group
Centre of dependable computing systems
Dadras, I., Ahmadilivani, M.H., Banerji, S., Raik, J., Abloo, A. An efficient analog convolutional neural network hardware accelerator enabled by a novel memoryless architecture for insect-sized robots // 2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST) : Bremen, Germany : 08-10 June 2022. : IEEE, 2022. p. 1-6. https://doi.org/10.1109/MOCAST54814.2022.9837551