Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

Smarter segmentation starts now. AI connects scattered customer data to allow more precise, real-time audience targeting across every channel. Online meets offline. Linking digital behavior with ...

Summary: Researchers have developed a machine learning model that upgrades 3T MRI images to mimic the higher-resolution 7T MRI, providing enhanced detail for detecting brain abnormalities. The ...

Image recognition has made significant progress in recent years, majorly in the development of powerful algorithms that can analyze and interpret visual data with unparalleled accuracy. In this ...

Humanitarian teams in Turkey and Syria are using machine learning to quickly scope out earthquake damage and strategize rescue efforts This article is from The Technocrat, MIT Technology Review's ...

Though we’re living through a time of extraordinary innovation in GPU-accelerated machine learning, the latest research papers frequently (and prominently) feature algorithms that are decades, in ...

Retinal vessels are the only deep micro vessels that can be observed in human body, the accurate identification of which has great significance on the diagnosis of hypertension, diabetes and other ...

Hematoma volume (HV) is a significant diagnosis for determining the clinical stage and therapeutic approach for intracerebral hemorrhage (ICH). The aim of this study is to develop a robust deep ...