Researchers from Marshall University and the University of Missouri have developed G2PDeep, an innovative web-based platform ...

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 ...

During early development, tissues and organs begin to bloom through the shifting, splitting, and growing of many thousands of ...

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 ...

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 ...

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 ...

Researchers suggest that MultiCell could potentially be used to discern early patterns of disease, such as in asthma.

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 ...

Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision programs.

Researchers from Marshall University and the University of Missouri have partnered to develop G2PDeep, an innovative web-based platform that uses advanced AI to analyze multiple types of biological ...