CERES program updates include operational satellite instruments, algorithm advancements, machine learning applications, and ongoing missions measuring Earth’s energy budget and climate system changes.

Tiny lab-grown “mini brains” are no longer just a futuristic curiosity. By capturing the electrical chatter of neurons in a ...

A research team affiliated with UNIST has unveiled a novel AI system capable of grading and providing detailed feedback on ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

File photo: Pacific Gas & Electric Company is using AI and machine learning tools to create more accurate forecasts. The ...

Abstract: The precise forecasting of solar energy holds significant importance for photovoltaic power plants, facilitating early engagement in energy auctions and cost-efficient resource planning. Due ...

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

A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...

Public discourse has focused a lot on artificial intelligence in the past few years. And even though the technology is hyped ...

Naperville Underrated Food Map is a data-driven approach to finding restaurants that may not appear at the top of a Google search.

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 ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.