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

Apple’s MLX machine learning framework, originally designed for Apple Silicon, is getting a CUDA backend, which is a pretty big deal. Here’s why. The work is being led by developer @zcbenz on GitHub ...

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

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

COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological insights from small ...

The Coalition for Health AI (CHAI) announced the completion of two draft documents on Friday that may have a big effect on the future of AI in healthcare. CHAI champions the creation of a national ...

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 ...

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

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