U.S. Department of Energy's (DOE) Argonne National Laboratory is helping researchers explore novel ways to design aeroplanes ...

It can take years for humans to solve complex scientific problems. With AI, it can take a fraction of the time.

One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

The development of catalysts has long depended on trial-and-error methods, which are time-consuming and often yield ...

Sigmetrix champions early-stage tolerance analysis to help engineers create manufacturable, high performance products without ...

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Visa Cash App Racing Bulls Formula One™ Team has deployed Neural Concept, the world’s leading AI platform for engineering design to accelerate car design & optimize aerodynamic performance ...

The importance of vision in both human and machine systems. How advanced machine-vision systems can empower automation and robotics. Numerous new application spaces are being opened up due to the ...

A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and collaborators accurately predicts and inversely designs the mechanical behavior of ...

Formula 1 cars are the most complex racing cars in the world, with every millimetre of the vehicles specifically designed to be as fast as possible when it hits the track. Here's the basics and ...

iOS 19 will bring an overhauled new design, and the latest leak points to what could be a winning formula guiding Apple’s approach.

In this exclusive interview with Machine Design, Stephen Graham talks about how Hexagon Nexus is at the forefront of the transition to Industry 5.0, where human-centric manufacturing ...