Zobrazeno 1 - 10
of 877
pro vyhledávání: '"Hoi-Jun Yoo"'
Publikováno v:
IEEE Open Journal of the Solid-State Circuits Society, Vol 2, Pp 259-275 (2022)
Many edge/mobile devices are now able to utilize deep neural networks (DNNs) thanks to the development of mobile DNN accelerators. Mobile DNN accelerators overcame the problems of limited computing resources and battery capacity by realizing energy-e
Externí odkaz:
https://doaj.org/article/9c268a238df84521b4d538f537f53830
Autor:
Jinsu Lee, Hoi-Jun Yoo
Publikováno v:
IEEE Open Journal of the Solid-State Circuits Society, Vol 1, Pp 115-128 (2021)
Deep Neural Networks (DNNs) have been widely used in various artificial intelligence (AI) applications due to their overwhelming performance. Furthermore, recently, several algorithms have been reported that require on-device training to deliver high
Externí odkaz:
https://doaj.org/article/daafa73069694f388d853ad50e89d2e9
Autor:
Dongseok Im, Gwangtae Park, Zhiyong Li, Junha Ryu, Sanghoon Kang, Donghyeon Han, Jinsu Lee, Wonhoon Park, Hankyul Kwon, Hoi-Jun Yoo
Publikováno v:
IEEE Micro. 43:74-82
Publikováno v:
IEEE Journal of Solid-State Circuits. 58:614-623
Autor:
Dongseok Im, Gwangtae Park, Junha Ryu, Zhiyong Li, Sanghoon Kang, Donghyeon Han, Jinsu Lee, Wonhoon Park, Hankyul Kwon, Hoi-Jun Yoo
Publikováno v:
IEEE Journal of Solid-State Circuits. 58:177-188
Publikováno v:
IEEE Journal of Solid-State Circuits. :1-14
Publikováno v:
IEEE Journal of Solid-State Circuits. :1-15
Publikováno v:
IEEE Journal of Solid-State Circuits. 57:3298-3311
This article presents the first keyword spotting (KWS) IC which uses a ring-oscillator-based time-domain processing technique for its analog feature extractor (FEx). Its extensive usage of time-encoding schemes allows the analog audio signal to be pr
Publikováno v:
2023 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS).
Publikováno v:
2023 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS).