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Scalable edge-based hyperdimensional learning system with brain-like neural adaptation.

, , , , , and . SC, page 38. ACM, (2021)

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Image Recognition Accelerator Design Using In-Memory Processing., , and . IEEE Micro, 39 (1): 17-23 (2019)Hierarchical and Distributed Machine Learning Inference Beyond the Edge., , , , , and . ICNSC, page 18-23. IEEE, (2019)Sparsity Controllable Hyperdimensional Computing for Genome Sequence Matching Acceleration., , , , , and . VLSI-SoC, page 1-6. IEEE, (2023)Sidekick: Near Data Processing for Clustering Enhanced by Automatic Memory Disaggregation., , , , , and . DAC, page 1-6. IEEE, (2023)Comprehensive Integration of Hyperdimensional Computing with Deep Learning towards Neuro-Symbolic AI., , , , , , and . DAC, page 1-6. IEEE, (2023)NNgine: Ultra-Efficient Nearest Neighbor Accelerator Based on In-Memory Computing., , and . ICRC, page 1-8. IEEE, (2017)MPIM: Multi-purpose in-memory processing using configurable resistive memory., , and . ASP-DAC, page 757-763. IEEE, (2017)Efficient Sparse Processing in Smart Home Applications., , , , , , and . SenSys-ML, page 19-24. ACM, (2019)P4: Phase-based power/performance prediction of heterogeneous systems via neural networks., , , , and . ICCAD, page 683-690. IEEE, (2017)Personalized Diapause: Reducing Radio Energy Consumption of Smartphones by Network-Context Aware Dormancy Predictions., and . HotPower, USENIX Association, (2012)