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cs.LG2025★ 1 cited
Techniques for Enhancing Memory Capacity of Reservoir Computing
Atsuki Yokota, Ichiro Kawashima, Yohei Saito +3
Reservoir Computing (RC) is a bio-inspired machine learning framework, and various models have been proposed. RC is a well-suited model for time series data processing, but there i…
cs.LG2024
Harnessing Nonidealities in Analog In-Memory Computing Circuits: A Physical Modeling Approach for Neuromorphic Systems
Yusuke Sakemi, Yuji Okamoto, Takashi Morie +3
Large-scale deep learning models are increasingly constrained by their immense energy consumption, limiting their scalability and applicability for edge intelligence. In-memory com…