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Challenges and opportunities in research and education of heterogeneous many-core applications., , and . EWME, page 1-6. IEEE, (2016)Learning Transfer-Based Adaptive Energy Minimization in Embedded Systems., , , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 35 (6): 877-890 (2016)Convolutional Tsetlin Machine-based Training and Inference Accelerator for 2-D Pattern Classification., , , , and . Microprocess. Microsystems, (2023)Contracting Tsetlin Machine with Absorbing Automata., , , , , , and . CoRR, (2023)A multi-step finite-state automaton for arbitrarily deterministic Tsetlin Machine learning., , , , , , , and . Expert Syst. J. Knowl. Eng., (May 2023)An FPGA Based Energy-Efficient Read Mapper With Parallel Filtering and In-Situ Verification., , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 19 (5): 2697-2711 (2022)Energy-efficient approximate multiplier design using bit significance-driven logic compression., , , , and . DATE, page 7-12. IEEE, (2017)Runtime Energy Minimization of Distributed Many-Core Systems using Transfer Learning., , , and . DATE, page 1209-1214. IEEE, (2022)Editable asynchronous control logic for SAR ADCs., , , , , and . ISCAS, page 2645-2649. IEEE, (2022)Energy-efficient approximate wallace-tree multiplier using significance-driven logic compression., , , , , and . SiPS, page 1-6. IEEE, (2017)