Zobrazeno 1 - 10
of 184
pro vyhledávání: '"Jae-sun Seo"'
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
Spiking neural networks (SNNs) have received increasing attention due to their high biological plausibility and energy efficiency. The binary spike-based information propagation enables efficient sparse computation in event-based and static computer
Externí odkaz:
https://doaj.org/article/290c1efba7224ab0bb0d6bd708e3e84f
Publikováno v:
Frontiers in Electronics, Vol 3 (2022)
Recently, ReRAM crossbar-based deep neural network (DNN) accelerator has been widely investigated. However, most prior works focus on single-task inference due to the high energy consumption of weight reprogramming and ReRAM cells’ low endurance is
Externí odkaz:
https://doaj.org/article/c894424c59cb4dd9ae48be82072e54b9
Autor:
Jae-Sun Seo
Publikováno v:
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, Vol 8, Iss 2, Pp iii-v (2022)
Deep neural networks (DNNs) have shown extraordinary performance in recent years for various applications including image classification, object detection, speech recognition, natural language processing, etc. Accuracydriven DNN architectures tend to
Externí odkaz:
https://doaj.org/article/c36423c34c224aa6bcec7e8eb3055918
Autor:
Jae-Sun Seo
Publikováno v:
IEEE Open Journal of the Solid-State Circuits Society, Vol 2, Pp 217-218 (2022)
Machine learning (ML) and artificial intelligence (AI) have been successful in many practical applications, e.g., image/speech/video recognition, object detection/tracking, natural language processing, etc. To efficiently execute such AI/ML algorithm
Externí odkaz:
https://doaj.org/article/2d6054ba61d7427092f2d7f99c44b3e1
Autor:
Chetan Singh Thakur, Jamal Lottier Molin, Gert Cauwenberghs, Giacomo Indiveri, Kundan Kumar, Ning Qiao, Johannes Schemmel, Runchun Wang, Elisabetta Chicca, Jennifer Olson Hasler, Jae-sun Seo, Shimeng Yu, Yu Cao, André van Schaik, Ralph Etienne-Cummings
Publikováno v:
Frontiers in Neuroscience, Vol 12 (2019)
Externí odkaz:
https://doaj.org/article/a8415bff92784771b5c9cb19fc1cc784
Autor:
Chetan Singh Thakur, Jamal Lottier Molin, Gert Cauwenberghs, Giacomo Indiveri, Kundan Kumar, Ning Qiao, Johannes Schemmel, Runchun Wang, Elisabetta Chicca, Jennifer Olson Hasler, Jae-sun Seo, Shimeng Yu, Yu Cao, André van Schaik, Ralph Etienne-Cummings
Publikováno v:
Frontiers in Neuroscience, Vol 12 (2018)
Neuromorphic engineering (NE) encompasses a diverse range of approaches to information processing that are inspired by neurobiological systems, and this feature distinguishes neuromorphic systems from conventional computing systems. The brain has evo
Externí odkaz:
https://doaj.org/article/b944e9dcee8647db834cb1072a2b4df0
Autor:
Firooz Aflatouni, Lucien Breems, Edoardo Charbon, Qinwen Fan, Hossein Hashemi, Antonio Liscidini, Woogeun Rhee, Stefan Rusu, Jae-Sun Seo, Jerald Yoo, Kathy Wilcox, Eugenio Cantatore
Publikováno v:
IEEE Open Journal of the Solid-State Circuits Society, Vol 1, Pp 1-1 (2021)
Dear Readers, The editorial board is pleased to welcome you to the IEEE Open Journal of the Solid-State Circuits Society (OJ-SSCS). Our first papers will soon be available online via the IEEEXplore® platform.
Externí odkaz:
https://doaj.org/article/19a3fd85afa841f3bba57bb96ef2d084
Publikováno v:
Frontiers in Neuroscience; 2024, p1-16, 16p
Algorithm-hardware Co-optimization for Energy-efficient Drone Detection on Resource-constrained FPGA
Publikováno v:
ACM Transactions on Reconfigurable Technology and Systems. 16:1-25
Convolutional neural network (CNN)-based object detection has achieved very high accuracy; e.g., single-shot multi-box detectors (SSDs) can efficiently detect and localize various objects in an input image. However, they require a high amount of comp
Autor:
Bo Zhang, Shihui Yin, Minkyu Kim, Jyotishman Saikia, Soonwan Kwon, Sungmeen Myung, Hyunsoo Kim, Sang Joon Kim, Jae-Sun Seo, Mingoo Seok
Publikováno v:
IEEE Journal of Solid-State Circuits. 58:1436-1449