Machine learning has rapidly advanced the design and discovery of new materials across various systems. To overcome the challenge of limited experimental data and the limitations of interpolative ...

While software engineers can design machine-learning algorithms, they often can't rely on the ever-changing hardware to be able to efficiently execute those algorithms. The same can be said for ...

“Our method further enables inverse design of microstructures, matching targeted mechanical responses within one to 15 percent accuracy, which were experimentally validated,” Espinosa said. Most ...

“If you go talk to a machine-learning researcher who doesn’t know game design, they’ll be like, ‘Why don’t you use new things and get NPCs that are more lifelike and adapt to how you ...

Machine learning (ML), on the other hand ... image generators, and design software. These tools allow users to input parameters and generate creative outputs, providing a more interactive and ...

Transitioning to more advanced, technology-driven approaches like integrating machine learning (ML), machine ... consumer data to predict trends and design innovative packaging.