The interdisciplinary field of language learning and computational models has witnessed rapid growth in recent years. Researchers pursue an integrative approach that combines cognitive science, ...
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Computational model predicts the hemodynamic response of patients following atrial fibrillation
Atrial fibrillation (AFib) is a cardiac disorder in which the chambers of the heart beat rapidly and irregularly. It's the most common type of arrhythmia and the leading cardiac cause of stroke.
The chains of amino acids that make up proteins are critical to every form of life. The complex ways that these proteins fold ...
Development in artificial intelligence has paved the path for the integration of computational pathology in clinical workflow, improving the accuracy and reducing the workload for medical ...
Computational models and simulations have had an important role in engineering analysis since as far back as the 1960s. It is widely recognized that the use of modeling and simulation tools can make ...
Space exploration has always captivated our imagination, offering the promise of discovering new worlds and pushing the boundaries of human capability. As commercial space travel becomes more ...
Researchers have developed a powerful new software toolbox that allows realistic brain models to be trained directly on data. This open-source framework, called JAXLEY, combines the precision of ...
New studies support the idea that the brain uses a process similar to a machine-learning approach known as 'self-supervised learning.' This type of machine learning allows computational models to ...
Artificial intelligence (AI) for science has rapidly gained momentum at an extreme pace. Models trained on the scientific record are generating hypotheses and even running experiments in automated ...
How do quantum and classical computational resources compare? CWI PhD student Jordi Weggemans hopes to answer this question ...
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