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Hybrid In-Memory Computing Architecture for the Training of Deep Neural Networks.

, , , and . ISCAS, page 1-5. IEEE, (2021)

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Large-Scale Neuromorphic Spiking Array Processors: A quest to mimic the brain., , , , , , , , , and 5 other author(s). CoRR, (2018)Guest Editors' Introduction: Hardware and Algorithms for Energy-Constrained On-Chip Machine Learning (Part 2)., , , and . ACM J. Emerg. Technol. Comput. Syst., 15 (4): 31:1-31:2 (2019)Low-Power, Adaptive Neuromorphic Systems: Recent Progress and Future Directions., , , , , , and . IEEE J. Emerg. Sel. Topics Circuits Syst., 8 (1): 6-27 (2018)Benchmarking TinyML Systems: Challenges and Direction., , , , , , , , , and 7 other author(s). CoRR, (2020)C3SRAM: In-Memory-Computing SRAM Macro Based on Capacitive-Coupling Computing., , , and . ESSCIRC, page 131-134. IEEE, (2019)Algorithm-hardware co-design of single shot detector for fast object detection on FPGAs., , , , and . ICCAD, page 57. ACM, (2018)A Time-Memory-based CMOS Vision Sensor with In-Pixel Temporal Derivative Computing for Multi-Mode Image Processing., , , , , and . ESSCIRC, page 109-112. IEEE, (2023)Transformer-Based Selective Super-resolution for Efficient Image Refinement., , , , , and . AAAI, page 7305-7313. AAAI Press, (2024)Noise-based Selection of Robust Inherited Model for Accurate Continual Learning., , , , and . CVPR Workshops, page 983-988. Computer Vision Foundation / IEEE, (2020)XST: A Crossbar Column-wise Sparse Training for Efficient Continual Learning., , , , , and . DATE, page 48-51. IEEE, (2022)