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Publication date Communities Collections Article title Author(s) Journal/Conference
31 Oct 2023 SERC Institute of High Performance Computing  Spintronic devices for high-density memory and neuromorphic computing – A review BingJin Chen, Minggang Zeng, Khoong Hong Khoo, Debasis Das, Xuanyao Fong, Shunsuke Fukami, Sai Li, Weisheng Zhao, Stuart S.P. Parkin, S.N. Piramanayagam, Sze Ter Lim Materials Today
22 Jun 2023 SERC Institute of High Performance Computing  Achieving Green AI with Energy-Efficient Deep Learning Using Neuromorphic Computing Tao Luo, Weng-Fai Wong, Rick Siow Mong Goh, Anh Tuan Do, Zhixian Chen, Haizhou Li, Wenyu Jiang, Neuromorphic Programme Communications of the ACM
26 Oct 2020 SERC Institute for Infocomm Research HFNet: A CNN Architecture Co-designed for Neuromorphic Hardware With a Crossbar Array of Synapses Roshan Gopalakrishnan, Yansong Chua, Pengfei Sun, Ashish Jith Sreejith Kumar, Arindam Basu Frontiers in Neuroscience
19 Oct 2020 SERC Institute for Infocomm Research Online Few-Shot Gesture Learning on a Neuromorphic Processor Kenneth Stewart, Garrick Orchard, Sumit Bam Shrestha, Emre Neftci IEEE Journal on Emerging and Selected Topics in Circuits and Systems
4 Aug 2020 SERC Institute for Infocomm Research HFNet: A CNN architecture co-designed for neuromorphic hardware with crossbar array of synapses Gopalakrishnan Roshan, Chua Yansong, Sun Pengfei, Kumar Ashish Jith Sreejith, Basu Arindam Frontiers in Neuroscience
3 Sep 2019 SERC Institute of Microelectronics Enabling Neuromorphic Computing: BEOL Integration of CMOS RRAM Chip and Programmable Performance Weijie Wang, Victor Yi-Qian Zhuo, Zhixian Chen, Hock Koon Lee, Minghua Li, Wendong Song IEEE International System-on-Chip Conference (SOCC 2019)
25 Dec 2018 SERC Institute of High Performance Computing  An FPGA-Based Hardware Emulator for Neuromorphic Chip With RRAM Tao Luo, Xuan Wang, Chuping Qu, Matthew Kay Fei Lee, Wai Teng Tang, Weng-Fai Wong, Rick Siow Mong Goh IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems