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 ...

Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test ...

Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an interpretable artificial intelligence (AI) framework named Convolutional Kolmogorov ...

AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...

At the end of the year, students share what they’re thankful for, discuss the good and bad of winter, and debate the Oxford Word of the Year. By The Learning Network See what you remember about this ...

DeepSeek’s latest training research arrives at a moment when the cost of building frontier models is starting to choke off ...

Lattice Semiconductor announced the latest release of the Lattice sensAI solution stack, delivering expanded model support, ...