no code implementations • 27 Apr 2024 • Ahmed S. Mohamed, Anurag Dhungel, Md Sakib Hasan, Joseph S. Najem
Reservoir computing is a brain-inspired machine learning framework for processing temporal data by mapping inputs into high-dimensional spaces.
no code implementations • 25 Oct 2023 • Nicholas X. Armendarez, Ahmed S. Mohamed, Anurag Dhungel, Md Razuan Hossain, Md Sakib Hasan, Joseph S. Najem
Recent advancements in reservoir computing research have created a demand for analog devices with dynamics that can facilitate the physical implementation of reservoirs, promising faster information processing while consuming less energy and occupying a smaller area footprint.
no code implementations • 15 Oct 2023 • Md Sakib Hasan, Catherine D. Schuman, Zhongyang Zhang, Tauhidur Rahman, Garrett S. Rose
Neuromorphic Computing promises orders of magnitude improvement in energy efficiency compared to traditional von Neumann computing paradigm.
no code implementations • 19 May 2023 • Md Razuan Hossain, Ahmed Salah Mohamed, Nicholas Xavier Armendarez, Joseph S. Najem, Md Sakib Hasan
Reservoir computing is a highly efficient machine learning framework for processing temporal data by extracting features from the input signal and mapping them into higher dimensional spaces.