Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical ...

Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...

CISPA researcher Sarath Sivaprasad, together with Hui-Po Wang and Mario Fritz from CISPA and other colleagues from HIPS, has ...

A research team led by the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) has built and ...

According to information from the National Intellectual Property Administration, Oracle International Company has been granted a patent for "Dynamic Data Selection for Machine Learning Models" ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

Explore investment strategies, risks, and growth opportunities in the dynamic AI infrastructure space — plus 3 ETFs to watch.

The intersection of artificial intelligence governance and practical machine learning implementation represents one of the most critical challenges facing modern enterprises. This reality became ...

Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

Biochar, a carbon-rich material made from organic waste, is gaining attention for its ability to improve soils, clean water, and capture carbon. A new review in Biochar X highlights how machine ...

Brazilian researchers, in partnership with French institutions, have developed a tool that can predict how patients will respond to natalizumab, one of the most commonly used drugs for treating ...

UC Davis researchers have created a miniaturized microscope for real-time, high-resolution imaging of brain activity in mice.