Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

For about a decade, computer engineer Kerem Çamsari employed a novel approach known as probabilistic computing. Based on probabilistic bits (p-bits), it’s used to solve an array of complex ...

A recent Scientific Reports study discusses the potential of retinal fundus imaging as a diagnostic screening modality for Parkinson's disease (PD). Study: Deep learning predicts prevalent and ...

Skin cancer is the most common type of cancer, with some 5.4 million cases in the United States each year, and it’s also the most treatable as long as it is detected in the early stages. However, not ...

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, innovatively launches a quantum-enhanced deep convolutional neural network image 3D reconstruction ...

Why it matters: The creative industry needs a constant flux of content to keep fans happy, and that content needs to be created somehow. When it comes to 3D models, AI algorithms could provide a big ...

The machine learning algorithm developed by the research team measures and identifies plant specimens. Photo: supplied. (IMAGE) University of New South Wales ...

The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment damage weeks or years before manual inspections find it.