Abstract: The challenging deployment of compute- and memory-intensive methods from Deep Neural Network (DNN)-based Continual Learning (CL), underscores the critical need for a paradigm shift towards ...
Grid operators are racing to keep up with a surge of renewable power and a wave of electricity-guzzling data centers, and the old toolkit of short-duration lithium packs and gas peaker plants is no ...
AI is stressing the U.S. grid, forcing energy storage to diversify. Lithium supply chains and long-duration batteries are now ...
Ling, A. and Pandya, N. (2025) Quantum Computing and Quantum Sensing: A Pedagogical Introduction to Emerging Quantum ...
Abstract: The unprecedented progress in computational technologies led to a substantial proliferation of artificial intelligence applications, notably in the era of big data and IoT devices. In the ...