This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...

A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response ...

Trying to find a whale song in the ocean is like trying to find a needle in a haystack. But now, UNSW Sydney researchers say ...

Of 372 patients studied, 79.3% and 20.7% were in the completion group and the non-completion group, respectively. The final BERT model achieved average F1 scores of 0.91 and 0.98 for time to ...

A Nanyang Technological University scholar has introduced a four-dimensional framework to help students engage with AI in ways that preserve intellectual agency. The model moves learners from ...

A chair can still look like a chair even when its surface is reduced to a sparse cloud of points. Humans are remarkably good ...

Introduction In an era where data breaches and cyber threats are on the rise, organizations are seeking advanced solutions to ...

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 ...

Development and Validation of an Artificial Intelligence Digital Pathology Biomarker to Predict Benefit of Long-Term Hormonal Therapy and Radiotherapy in Men With High-Risk Prostate Cancer Across ...

Researchers in China conceived a new PV forecasting approach that integrates causal convolution, recurrent structures, attention mechanisms, and the Kolmogorov–Arnold Network (KAN). Experimental ...