Researchers have used machine learning to dramatically speed up the processing time when simulating galaxy evolution coupled with supernova explosion. This approach could help us understand the ...

Semiconductor processing is notoriously challenging. It is one of the most intricate feats of modern engineering due to the ...

The new capabilities are designed to enable enterprises in regulated industries to securely build and refine machine learning ...

Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.

To close the gap between AI ambition and reality, executives must focus on business value, disciplined engineering practices ...

The 10 hottest data science and machine learning tools include MLflow 3.0, PyTorch, Snowflake Data Science Agent and ...

Machine learning techniques have achieved significant success across various domains, including decision-making, speech recognition, natural language processing, and computer vision. However, despite ...

Motion intent recognition for controlling prosthetic systems has long relied on machine learning algorithms. Artificial neural networks have shown great promise for solving such nonlinear ...

More information: Katsuichiro Goda et al, Effect of calibration data on performance of tsunami early warning model, Coastal Engineering Journal (2025). DOI: 10.1080/21664250.2025.2516324 ...