Regression failure debug is usually a manual process wherein verification engineers debug hundreds, if not thousands of failing tests. Machine learning (ML) technologies have enabled an automated ...
Research, development, and production of novel materials depend heavily on the availability of fast and at the same time accurate simulation methods. Machine learning, in which artificial intelligence ...
The “composites for sustainable mobility” (CosiMo) project was launched in 2018 by Faurecia Clean Mobility (Nanterre, France) to develop a smart thermoplastic composite resin transfer molding (RTM) ...
In the pharmaceutical discovery process, understanding a drug’s residence time—the duration a molecule remains bound to its ...
Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
Advancements in Immersive Technologies and XR Integration This year’s Winter Simulation Conference really highlighted how far ...
Forbes contributors publish independent expert analyses and insights. Gary Drenik is a writer covering AI, analytics and innovation. Every day we hear about new ways automation is transforming ...
This third installment in the golf putter design series moves the process from reverse engineering and additive manufacturing to CAD/CAM software. Turning attention to the role of CAD/CAM software in ...
Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...
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