Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...

Researchers from The Hong Kong University of Science and Technology and the Southern University of Science and Technology have developed a novel deep learning neural network, Electrode Net. By ...

Altuna Akalin and his team at the Max Delbrück Center have developed a new tool to more precisely guide cancer treatment. Described in a paper published in “Nature Communications,” the tool, called ...

Bahrain first Middle Eastern country to support deep-sea mining Impossible Metals files 170-page application with International Seabed Authority Environmental review process to cost $70 million ...

Abstract: Infrared small target detection has a wide range of applications, such as target warning and maritime rescue. However, existing deep learning methods still encounter some limitations, ...

A study recently found that deep-breathing exercises induce similar patterns of blood flow to the brain seen in patients using psychedelic substances like psilocybin. This altered state of ...

This repository contains a collection of deep learning models for remote sensing spatiotemporal fusion. It includes sections on relevant survey papers, various deep learning model categories, and ...

1 School of Electronic and Information Engineering, Beijing Jiaotong University, China 2 School of Automation and Intelligence, Beijing Jiaotong University, China Recently, Deep Unfolding Networks ...

For more than eighty years, deep learning has relied on a simplified model of brain function. Now, a Pittsburgh startup ...

Abstract: The rapid development of deep learning models has driven the development of teaching management systems in higher education institutions. Therefore, education management information systems ...