By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...

A new company called Meridian.AI has emerged from stealth with an IDE-based approach to agentic financial modeling.

A randomized study of 1,298 UK adults found that while large language models perform well on medical tasks alone, they do not ...

Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of structured, siloed, and confidential data.

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In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

School of Artificial Intelligence and Data Science, Unversity of Science and Technology of China, Hefei 230026, P. R. China Suzhou Institute for Advanced Research, University of Science and Technology ...