Using a deep learning model to analyze the composition of large muscles on MRI, German researchers found that the proportions ...
Deep learning improves brain tumour detection accuracy and reduces false positives in MRI, supporting faster and more ...
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A simple physics-inspired model sheds light on how AI learns
Artificial intelligence systems based on neural networks—such as ChatGPT, Claude, DeepSeek or Gemini—are extraordinarily ...
This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...
Last month, a YouTube video of a conference talk in Berlin, shared widely among artificial-intelligence researchers, offered a possible answer. In the talk, Naftali Tishby, a computer scientist and ...
A chair can still look like a chair even when its surface is reduced to a sparse cloud of points. Humans are remarkably good ...
Brian Spears and colleagues built a generative machine learning model that was used to successfully predict the outcome of a recent fusion ignition experiment at the U.S. National Ignition Facility ...
Researchers in China conceived a new PV forecasting approach that integrates causal convolution, recurrent structures, attention mechanisms, and the Kolmogorov–Arnold Network (KAN). Experimental ...
The future of conflict prediction relies on combining technical ability, institutional governance and ethical responsibility.
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