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

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

To Integrate AI into existing workflows successfully requires experimentation and adaptation. The tools don't replace how you ...

In recent years, several serious traffic accidents have exposed the shortcomings of current autonomous driving systems in making safe decisions ...

Digital condition monitoring is transforming hydropower O&M with AI-driven diagnostics, hybrid architectures, and predictive ...

Explore how AI is transforming advanced materials design by analyzing microscopy images to create smarter, faster innovation ...

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

Digital Twin of the Ocean is a continuously updated virtual counterpart of the real ocean that exchanges data in real time ...

LEADS® leverages system-level readouts to enable unbiased discovery while providing deep mechanistic insight. Sinopia has generated the largest metabolomics dataset characterizing a small-molecule ...

You might have seen headlines sounding the alarm about the safety of an emerging technology called agentic AI.

Three PPPL researchers have earned the prestigious Kaul Foundation Prize for their groundbreaking work in fusion stability.