NVIDIA researchers in collaboration with King’s College London today announced a breakthrough in healthcare AI, with the introduction of the first privacy-preserving federated learning system for medical image analysis.
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.
