High-entropy alloys (HEAs) are rewriting the rules of materials science, and machine learning is accelerating their design. By predicting phase stability and performance from large datasets, ...

From atomic-scale imaging to machine learning predictions, AI is revolutionizing how scientists design and optimize high-entropy alloys. These materials, prized for their strength and resilience, are ...

Not only were CFD sims cheaper than wind tunnel time, but they were also much faster at iterating. Early design work is now ...

Teachers have been fighting plagiarism since the dawn of time (since homework), but 2024-2026 has been a different story.

Now, artificial intelligence (AI) tools are providing powerful new ways to address long-standing problems in physics. “The ...

In the search for new drugs, artificial intelligence in the form of diffusion models is being used in drug design. What ...

There is a persistent belief in the ‘AI’ community that large language models (LLMs) have the ability to learn and self-improve by tweaking the weights in their vector space. Although ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

Whether estimating the probability that a disease is present or forecasting risk of deterioration,1 readmission,2 or death,3 most contemporary clinical artificial intelligence (AI) systems are ...