Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...
Using AI and machine learning as transformative solutions for semiconductor device modeling and parameter extraction.
Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...
As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...
Shanghai, August 21, 2025 — Nuclear energy is widely recognized as one of the most promising clean energy sources for the future, but its safe and efficient use depends critically on the development ...
Materials testing is critical in product development and manufacturing across various industries. It ensures that products can withstand tough conditions in their ...
Weather and climate experts are divided on whether AI or more traditional methods are most effective. In this new model, Google’s researchers bet on both. Researchers from Google have built a new ...
Application of machine learning techniques to large astronomy data sets can discover thousands of cosmic objects of various classes. CREDIT Shivam Kumaran cientists of Tata Institute of Fundamental ...
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