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 learning, officially designating the 49B AI/ML Officer as an area of ...

AWS, Cisco, CoreWeave, Nutanix and more make the inference case as hyperscalers, neoclouds, open clouds, and storage go ...

Crucially, detection and response must be unified across identity and data layers. An alert about unusual data access is meaningless if it is not correlated with identity risk signals. Autonomous ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

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 ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

What Is Physical AI & Robotics? Physical AI & Robotics refers to intelligent systems where artificial intelligence is ...

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 ...