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Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference., , , , , , , , , и 1 other автор(ы). CoRR, (2023)Improving the Accuracy of Analog-Based In-Memory Computing Accelerators Post-Training., , , , , , и . CoRR, (2024)Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators., , , , , , , , , и 3 other автор(ы). CoRR, (2023)Training LSTM Networks with Resistive Cross-Point Devices., , и . CoRR, (2018)Training large-scale ANNs on simulated resistive crossbar arrays., , и . CoRR, (2019)A Phenomenological Synapse Model for Asynchronous Neurotransmitter Release., , , , , и . Frontiers Comput. Neurosci., (2015)Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices., , , , , , , , , и 1 other автор(ы). Frontiers Comput. Neurosci., (2021)Multi-Function Multi-Way Analog Technology for Sustainable Machine Intelligence Computation., , , , , , , , , и 5 other автор(ы). CoRR, (2024)Design principles of the sparse coding network and the role of "sister cells" in the olfactory system of Drosophila., , , и . Frontiers Comput. Neurosci., (2013)Training Large-Scale Spiking Neural Networks on Multi-core Neuromorphic System Using Backpropagation., , , , , , , , и . ICONIP (3), том 11955 из Lecture Notes in Computer Science, стр. 185-194. Springer, (2019)