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 ...

A new study published in Engineering by Xin Wang, Jian Yao, Jin Zhang and their colleagues proposes a machine-learning-guided strategy that combines ...

With Neshamah, Robert Kasirer brings decades of community experience to leading Jewish engagement into the digital future.

Xanadu Quantum Technologies Inc. (“Xanadu”), a leading photonic quantum computing company, today announced that it has developed a novel quantum computational framework to accelerate the discovery of ...

High-temperature proton exchange membrane fuel cells (HT-PEMFCs) are highly promising for next-generation aviation, as they can operate above 160 °C ...

As ports face rising shore power demands, limited grid capacity, and increasing regulatory pressure, advanced microgrids that ...

The rapid acceleration of artificial intelligence has pushed demand for high-performance GPUs far beyond global supply. These ...

How insects, AI, and digital twins are transforming agricultural waste into sustainable animal feed at industrial scale.

In 2026, the author believes, three technologies will drive the security transformation: Agentic AI, Digital Twins and ...

Organoid Intelligence (OI) represents a groundbreaking convergence of biology and technology, aiming to redefine biocomputing using brain organoids—three-dimensional neural structures derived from ...

AI in 2025 shifted from hype to economics, defined by compute, energy, infrastructure limits, enterprise adoption, and ...