Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
The U.S. Army is formalizing a new career path that allows officers to specialize in artificial intelligence and machine ...
Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...
This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
Humans possess a remarkable balance between stability and flexibility, enabling them to quickly establish new plans and ...
AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...
Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...
Artificial Intelligence (AI) has achieved remarkable successes in recent years. It can defeat human champions in games like Go, predict protein structures with high accuracy, and perform complex tasks ...
Abstract: Dynamic Machine Allocation (DMA) is a vital aspect of production scheduling in semiconductor manufacturing. Current DMA practices heavily rely on engineers’ domain expertise and require a ...
AIQuant Labs has launched DexTrader.ai, a machine learning-powered investment platform designed to bring institutional-grade ...
Cooperative autonomous driving represents the frontier of intelligent transportation systems, where vehicles, infrastructure, and other road users share ...
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