In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...

AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...

The integration of machine learning techniques into microstructure design and the prediction of material properties has ushered in a transformative era for materials science. By leveraging advanced ...

Ansys SimAI is a physics-agnostic and cloud-enabled computer-aided engineering tool that predicts performance of complex simulation scenarios. The game-changer? Engineers train their model and use it ...

Keysight Technologies, Inc. (NYSE: KEYS) today announced the release of the new Machine Learning Toolkit in the latest ...

Engineers have developed a model that combines machine learning and collaborative robotics to accelerate the design of aerogel materials used in wearable heating applications. Engineers at the ...

Machines are moving beyond single-point sensing. Multi-sensor fusion now delivers vision, ranging and inertial data. The ...

With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green chemical processes and carbon dioxide capture has surged. Ionic liquids (ILs) ...

Chenbro (TWSE: 8210), a pioneer in the design and manufacturing of own-brand rackmount systems, is thrilled to unveil the SR215 tower server chassis, meticulously designed to meet diverse market needs ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...