Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

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

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

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 ...

Manufacturing technologies have been the first domain to experience this transformation. The review documents how artificial ...

9. The Global Tipping Points Report 2025, released by 160 international scientists, warns thatEarth has reached its first climate tipping point, with rising temperatures threatening coral reefs.

In my experience, the deployment of agentic AI systems can help speed up decision making, improve the fine-tuning of ...

The five-year, $584,034 project — “CAREER: Opening the Black Box: Advancing Interpretable Machine Learning for Computer Vision” — aims to bring greater transparency and accountability to AI-powered ...

Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework ...

Boston Dynamics product lead Aya Durbin discusses Atlas, industrial humanoid robots, and what it takes to make humanoids ...

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 ...