Artificial intelligence/Machine Learning-driven modeling reduces time-to-market for faster Design Technology Co-Optimization ...

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

When US Airways Flight 1549 lost all power after hitting a flock of geese in 2009, Captain Chesley “Sully” Sullenberger’s background as a glider pilot helped him manage the aircraft and see landing ...

AI is no longer an experimental capability or a back-office automation tool: it is becoming a core operational layer inside modern enterprises. The pace of adoption is breathtaking. By Amy Chang, AI ...

Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...