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 ...

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, ...

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 ...

Deep learning has witnessed outstanding progress in recent decades. The Deep Neural Network (DNN), serving as an essential constituent of deep learning, focuses on artificial neural networks with ...

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 ...

NVIDIA has introduced easily deployable software that helps developers harness the power of GPU acceleration for groundbreaking deep learning applications in areas such as image classification, video ...