An efficient analog convolutional neural network hardware accelerator enabled by a novel memoryless architecture for insect-sized robots
author
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
year of publication
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
notes
Bibliogr.: 27 ref
scientific publication
teaduspublikatsioon
TTÜ department
language
inglise
subject term
keyword
analog CNN
memoryless CNN
mixed-signal design
low-power ASIC design
insect-sized robots
classifier
Reserch Group
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.