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Deep Random Forest with Ferroelectric Analog Content Addressable Memory., , , , , , , , , and 7 other author(s). CoRR, (2021)Cross-layer Design for Computing-in-Memory: From Devices, Circuits, to Architectures and Applications., , , , , , , and . ASP-DAC, page 132-139. ACM, (2021)Ferroelectric FET Based In-Memory Computing for Few-Shot Learning., , , , and . ACM Great Lakes Symposium on VLSI, page 373-378. ACM, (2019)Emerging Neural Workloads and Their Impact on Hardware., , , , , , , , , and 5 other author(s). DATE, page 1462-1471. IEEE, (2020)Design of Hardware-Friendly Memory Enhanced Neural Networks., , and . DATE, page 1583-1586. IEEE, (2019)Open Domain Continuous Filipino Speech Recognition: Challenges and Baseline Experiments., , , , , , and . IEICE Trans. Inf. Syst., 97-D (9): 2443-2452 (2014)In-Memory Computing based Accelerator for Transformer Networks for Long Sequences., , , and . DATE, page 1839-1844. IEEE, (2021)COSIME: FeFET Based Associative Memory for In-Memory Cosine Similarity Search., , , , , , , , , and 1 other author(s). ICCAD, page 137:1-137:9. ACM, (2022)iMARS: an in-memory-computing architecture for recommendation systems., , , , , and . DAC, page 463-468. ACM, (2022)A Fast and Energy Efficient Computing-in-Memory Architecture for Few-Shot Learning Applications., , , and . DATE, page 127-132. IEEE, (2020)