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 ...
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 ...
In 2025 Artprice successfully integrated all the key tools of its proprietary AI (Intuitive Artmarket®) into its internal ...
Peter Grindrod CBE, Professor in Oxford University's Mathematical Institute and Co-Investigator of the Erlangen AI Hub, outlines why mathematics is ...
Anil Seth, one of the world’s leading neuroscientists studying consciousness, stands at the centre of this inquiry.
Researchers have developed a new AI algorithm, called Torque Clustering, that significantly improves how AI systems independently learn and uncover patterns in data, without human guidance.
Sahil Dua discusses the critical role of embedding models in powering search and RAG applications at scale. He explains the ...
In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...
Large language models (LLMs) can suggest hypotheses, write code and draft papers, and AI agents are automating parts of the research process. Although this can accelerate science, it also makes it ...
Representation learning lies at the core of modern artificial intelligence, enabling neural networks to uncover meaningful, ...
As artificial intelligence becomes more advanced and common, it's hard to know what's real or not, complicating the search ...
Background Motor and cognitive dysfunctions are common and disabling features in multiple sclerosis (MS) that remain challenging to treat. Here, we aimed to explore the effect of exergames as a ...
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