2024 IEEE Symposium on VLSI Technology and Circuits, one of the most prestigious international conferences on semiconductor research, to be held from June 16 to June 20 in Honolulu, Hawaii! The conference is composed of reports on research results of semiconductor device and circuit technologies. VL...
近日,2024 Symposium on VLSI Technology and Circuits(VLSI Symposium)组委会公布了会议文章录用结果,南方科技大学深港微电子学院在本届VLSI Symposium有3篇文章入选。 其中,我院潘权课题组入选论文2篇,论文1“A 2×56 Gb/s Single-Ended Orthogonal PAM-7 Transceiver with Encoder-Based Channel-Independent Crosstalk...
近日,2023 Symposium on VLSI Technology and Circuits(VLSI Symposium)组委会公布了会议文章录用结果,南方科技大学深港微电子学院在本届VLSI Symposium有3篇文章入选。 其中,我院李嘉敏课题组入选论文1篇,李嘉敏助理教授为该论文第一作者,南科大为第一作者单位,该研究工作是李嘉敏课题组与新加坡国立大学副教授Jerald Y...
Join ST at the 2024 IEEE Symposium on VLSI Technology & Circuits, celebrating 44 years at the intersection of technology and circuits for microelectronics. Discover the latest in VLSI advancements, innovative circuits, and their applications in AI, IoT, cloud computing and more. Since 1981, this ...
网络半导体技术国际会议 网络释义 1. 半导体技术国际会议 最近,在日本东京召开了2011年半导体技术国际会议(SymposiumonVLSITechnology),会上,由IBM,意法半导体,GlobalFo… www.2ic.cn|基于4个网页
近日,南方科技大学深港微电子学院李嘉敏课题组在无线体域网芯片设计领域取得重要进展。相关成果以“Wireless Body-Area Network Transceiver ICs with Concurrent Body-Coupled Powering and Communication using Single Electrode” 为题发表在集成电路设计领域顶级会议2023 Symposium on VLSI Technology and Circuits(VLSI Symp...
近日,南方科技大学深港微电子学院李嘉敏课题组在无线体域网芯片设计领域取得重要进展。相关成果以“Wireless Body-Area Network Transceiver ICs with Concurrent Body-Coupled Powering and Communication using Single Electrode” 为题发表在集成电路设计领域顶级会议2023 Symposium on VLSI Technology and Circuits(VLSI Symp...
2025 Symposium on VLSI Technology and Circuits, 08-12 Jun 2025, Kyoto, Japan, organized by IEEE. Find conference details | Conference Locate (Clocate)
近日,中国科大微电子学院石媛媛教授课题组设计并实现了一种直接在硅片上制造大规模单层(Monolayer, ML)单晶 MoS₂高性能晶体管阵列的集成方法,相关研究成功入选2024 Symposium on VLSI Technology and Circuits(以下简称VLSI Symposium)。 VLSI Symposium是集成电路领域最具盛名的三大国际顶级会议(IEDM, ISSCC和VLSI)之一...
VLSI for Applied and Future Computing (AFC): Neuromorphic and brain-inspired computing, quantum computing, circuits and architectures for machine learning and artificial intelligence, methodologies for on-chip learning, deep learning acceleration techniques, applications for and use-cases of learning systems...