Artificial intelligence and machine learning are rapidly transforming scientific research, with researchers across multiple areas of physics leading the development and application of these tools. To ...
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
An analysis of over 41 million research papers from the past 40 years has revealed that researchers who use artificial intelligence (AI) tools in their work publish more papers and receive more ...
Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...
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 ...
Dhruv Shenai investigates how machine learning and lab automation are transforming materials science at Cambridge ...
Overview: Focuses on skills, projects, and AI readiness, not hypeCovers degrees, certificates, and online programmesHelps ...
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