In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial ...
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 ...
From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...
The development of bioinspired electronic skin plays a pivotal role in enhancing robotic environmental perception and ...
Abstract: Data-driven full-waveform inversion shows great potential for subsurface velocity estimation, but its accuracy is often hindered by susceptibility to local minima and the inherent ...
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India Emerges as a Global Leader in Machine Learning–Enabled Scientific Research, New Report Finds
India has emerged as one of the world’s most dynamic and rapidly advancing centers for machine learning (ML)–enabled scientific research, according to the newly released <a href= ...
Abstract: Correct weather condition classification is crucial in intelligent applications such as autonomous cars, smart surveillance, and environmental monitoring. In this paper, a hybrid deep ...
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