As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

Machine learning, AI, automation and and prediction are rapidly evolving the digital landscape. Can digital twins be the ...

A study in Nature Communications by Michele Ceriotti’s group at EPFL has introduced a new dataset and model that greatly improve the efficiency of machine-learning interatomic potentials (MLIPs) and ...

AI tool GyroSwin simulates fusion plasma in seconds, cutting costs and speeding the design of future fusion power plants.

A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy ...

Test vendors use AI and machine learning to handle massive data volumes from complex electronics and detect hard-to-find ...

AI-driven adaptive safety stock planning is revolutionizing inventory management in fluctuating supply chains.

As organizations modernize industrial systems, high-integrity functional safety strategies are now critical for reducing risk and ensuring compliance. This report delivers actionable insight into the ...

A new study published in Engineering by Xin Wang, Jian Yao, Jin Zhang and their colleagues proposes a machine-learning-guided strategy that combines ...

Step inside the Soft Robotics Lab at ETH Zurich, and you find yourself in a space that is part children's nursery, part ...

Lux and Discovery are engineered for scientific workloads that now pair high-fidelity simulation with large AI models, ...