In this Special Issue, Digital Engineering presents its second annual guide to design and simulation software vendors. Special Focus Issue: Artificial Intelligence in Simulation In this Special Focus ...

To some, METR’s “time horizon plot” indicates that AI utopia—or apocalypse—is close at hand. The truth is more complicated. MIT Technology Review Explains: Let our writers untangle the complex, messy ...

The company’s chief executive, Elon Musk, said this week that it would stop making the car, an electric pioneer in 2012, as well as the Model X. By Neal E. Boudette Thirteen years ago, Mike Ramsey, an ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

While all the eyes of the Western automotive realm are on the 2025 edition of the Los Angeles Auto Show, Audi chose to feature a major premiere as AUDI in China at the ongoing Auto Guangzhou 2025, ...

Quantum Variational Graph Auto-Encoders (QVGAE) represent an integration of graph-based machine learning and quantum computing. In this work, we propose a first-of-its-kind quantum implementation of ...

Even the most reliable automotive brands have issues from time to time. And the three brands at the top of Consumer Reports' reliability ratings are proving that point with a related recall this week.

This study employs potential flow theory with a discrete-vortex method to model the unsteady aerodynamics of a flat plate, with a particular focus on the coupled dynamics of leading-edge and ...

Vision Language Models (VLMs) allow both text inputs and visual understanding. However, image resolution is crucial for VLM performance for processing text and chart-rich data. Increasing image ...