This week, Qure.ai, a healthcare AI startup and a member of NVIDIA Inception program, launched a deep learning-based technology to accurately identify bleeds, fractures and other critical abnormalities in head CT scans.
The worldwide coconut crab population is in decline, and to get an accurate count of how many remain, researchers in Japan developed a deep learning system to identify and track specific coconut crabs individually.
Fujitsu announced today they upgraded the RAIDEN deep learning supercomputers at RIKEN, Japan’s largest research institution, from four petaflops to 54 petaflops, making it one of the most powerful DGX-1 supercomputer installations in the world.
There are over 20 million miles of roads across the globe, and many of them have not yet been mapped. This problem creates many roadblocks for digital maps, particularly for systems developed for autonomous vehicles.
According to the Centers for Disease Control and Prevention, lung cancer is the leading cause of cancer death in the United States, accounting for 27% of deaths. To treat patients with lung cancer, doctors often use radiation therapy.
Researchers from Stony Brook University, the University of Texas, Emory University, and the Institute for Systems Biology, developed a deep learning system that maps how the immune system fights cancer.
Researchers with the National Center for Supercomputing Applications (NCSA) developed a deep learning-based technique that uses satellite data and supercomputers to distinguish between corn and soybean fields.