Research authored by partners from the Bottle Consortium and published in Nature Communications this month aims to challenge ...

Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could dramatically slash the cost and energy required to develop new lithium-ion ...

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...

Interview Kickstart today announces the publication of its comprehensive career guide titled "How to Transition from Software Engineer to Machine Learning Engineer," a detailed resource created to ...

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 ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

Learn how industrial computed tomography (CT), digital twins and collaborative platforms are improving workflows across design, simulation, manufacturing and inspection in machine engineering from ...

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of two-dimensional memories, systems that can reliably store information despite ...

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 ...

Behavior-Derived Intelligence Transforms How Recovery Is Supported, Measured, and Sustained Human behavior leaves a ...