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

vastutusandmed
Iman Dadras, Mohammad Hasan Ahmadilivani, Saoni Banerji, Jaan Raik, Alvo Abloo
allikas
2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST) : Bremen, Germany : 08-10 June 2022
kirjastus/väljaandja
ilmumisaasta
leheküljed
p. 1-6
konverentsi nimetus, aeg
2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST) : 08-10 June 2022
konverentsi toimumispaik
Bremen, Germany
märkused
Bibliogr.: 27 ref
teaduspublikatsioon
teaduspublikatsioon
TTÜ struktuuriüksus
keel
inglise
võtmesõna
analog CNN
memoryless CNN
mixed-signal design
low-power ASIC design
insect-sized robots
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