Artificial intelligence is revolutionizing how medical images are interpreted, helping medical professionals save time analyzing magnetic resonance imaging, CT scans, and X-rays.
At GTC Japan in Tokyo, NVIDIA unveiled the Clara platform, a revolutionary computing architecture based on the NVIDIA Xavier AI computing module and NVIDIA Turing GPUs.
Fujifilm has become the first company in Japan to adopt the NVIDIA DGX-2 AI supercomputer for their AI development in healthcare, medical imaging, and its highly functional materials for displays.
Researchers from Lehigh University in Pennsylvania developed a diagnostic technique that combines deep learning and cutting-edge imaging technology to detect in real-time the difference between cancerous and benign cells with over 90% accuracy.
The Allen Institute for Cell Science launched a one-of-a-kind online portal of 3D cell images called Allen Cell Explorer that were produced using deep learning.
UK researchers developed a smartphone app using deep learning that lets people with Parkinson’s disease test their symptoms at home in just four minutes.
Todd Raeker, Research Technology Consultant at the University of Michigan shares how a group of 50 researchers at University of Michigan are using GPUs and OpenACC to accelerate the codes for their data-driven physics simulations.
