Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...
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 ...
Babasola Osibo's study demonstrates how machine learning and smart controls cut power use and enhance sustainability in energy-hungry data centers. At the heart of Osibo's framework are three ...
Abstract: Although deep learning-based methods have shown great success in spatiotemporal predictive learning, the frameworks of those models are mainly designed by intuition. How to make ...
Figure 1: PrePrompt two-stage framework (left) and feature extrapolation mechanism (right). 🔥 Official PyTorch implementation of PrePrompt, a two-stage predictive prompting framework that enables pre ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Graph neural networks for crystal property prediction typically require precise atomic ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this research work authors have experimentally validated a blend of Machine ...
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