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 ...
WEST LAFAYETTE, Ind. — Computer vision researchers use machine learning to train computers in visually recognizing objects – but very few apply machine learning to mechanical parts such as gearboxes, ...
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Can AI build a machine that draws a heart? What automated mechanism design could mean for mechanical engineering
Can you design a mechanism that will trace out the shape of a heart? How about the shape of a moon, or a star? Mechanism ...
Mechanical engineering has traditionally relied on physics, mathematics, and empirical knowledge to design and optimize systems. Machine learning (ML) introduces powerful tools that can complement ...
Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...
Electron density prediction for a four-million-atom aluminum system using machine learning, deemed to be infeasible using traditional DFT method. × Researchers from Michigan Tech and the University of ...
In the past decade, advances in algorithms, computer architecture and processing power have led to giant strides in the development of computers that are capable to learn by themselves how to solve a ...
Machine Design’s annual Salary & Career Survey puts forward a paradigm for the challenges facing engineering professionals. We interviewed Susan Ipri-Brown, president of the American Society of ...
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