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Mathematical Machines and Integrated Stem: An Intersubjective Constructionist Approach., , , и . CSEDU (Selected Papers), том 510 из Communications in Computer and Information Science, стр. 272-288. Springer, (2014)SpikeSim: An End-to-End Compute-in-Memory Hardware Evaluation Tool for Benchmarking Spiking Neural Networks., , , , , и . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 42 (11): 3815-3828 (ноября 2023)Integrated STEM in Elementary Grades Using Distributed Agent-based Computation., , и . CSEDU (2), стр. 67-78. SciTePress, (2014)SIAM: Chiplet-based Scalable In-Memory Acceleration with Mesh for Deep Neural Networks., , , , , , и . CoRR, (2021)COIN: Communication-Aware In-Memory Acceleration for Graph Convolutional Networks., , , , , и . IEEE J. Emerg. Sel. Topics Circuits Syst., 12 (2): 472-485 (2022)A Latency-Optimized Reconfigurable NoC for In-Memory Acceleration of DNNs., , , , , и . IEEE J. Emerg. Sel. Topics Circuits Syst., 10 (3): 362-375 (2020)Accurate Inference with Inaccurate RRAM Devices: Statistical Data, Model Transfer, and On-line Adaptation., , , , , , , и . DAC, стр. 1-6. IEEE, (2020)Artificial intelligence in clinical medicine: catalyzing a sustainable global healthcare paradigm., , , , , , и . Frontiers Artif. Intell., (февраля 2023)Towards Efficient Neural Networks On-a-chip: Joint Hardware-Algorithm Approaches., , , , , и . CoRR, (2019)Big-Little Chiplets for In-Memory Acceleration of DNNs: A Scalable Heterogeneous Architecture., , , , , , , и . ICCAD, стр. 8:1-8:9. ACM, (2022)