Manufacturers will look to artificial intelligence and automation to push their operations to the next level of production.

The authors find that contemporary GIS research increasingly integrates spatial statistics, modeling, and simulation to move ...

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 ...

The complexities of drug development for rare diseases, including small patient populations, phenotypic variability, and the high costs associated with large-scale clinical trials, have long hindered ...

China's manufacturing upgrade plan 2026 outlines MIIT’s roadmap for smarter digitalized production. Explore key features and ...

The report explained the proposed five-year, $53 billion framework for early recovery and long-term rebuilding, covering ...

Tesla’s autonomous driving project has quietly crossed a threshold that matters far beyond bragging rights. With its Full ...

Understand the importance of training that saves lives. Providence uses simulations to ensure high-quality care through ...

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 ...

The National Testing Agency (NTA) has released the CUET UG 2026 syllabus, giving aspirants an early roadmap for exam ...