Autonomous vehicles require object detection systems to navigate traffic and avoid obstacles on the road. However, current detection methods often suffer from diminished detection capabilities due to ...

OAK BROOK, Ill. – Researchers have developed a new, interpretable artificial intelligence (AI) model to predict 5-year breast cancer risk from mammograms, according to a new study published today in ...

Deep-learning technology developed by a team of Johns Hopkins engineers and cancer researchers can accurately predict cancer-related protein fragments that may trigger an immune system response. If ...

Researchers at the University of Toronto have developed a deep-learning model, called PepFlow, that can predict all possible shapes of peptides – chains of amino acids that are shorter than proteins, ...

The deep learning algorithm could enable transportation companies to provide personalized safety instructions for drivers, helping reduce the number of accidents, inform the development of optimal ...

In a new study published in Science, a Belgian research team explores how genetic switches controlling gene activity define brain cell types across species. They trained deep learning models on human, ...

The seven-month programme is aimed at working professionals seeking to build production-ready artificial intelligence ...

Developing deep learning models to identify polyA sites at nucleotide-level resolution and calculate polyA site strength. Credit: Nature Communications (2023). DOI: 10.1038/s41467-023-43266-3 ...

During X-ray diffraction experiments, bright lasers shine on a sample, producing diffracted images that contain important information about the material's structure and properties. But conventional ...