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.
University of Alberta scientists developed a deep learning-based prostate cancer diagnostic platform that only uses a single drop of blood which will allow men to bypass the current painful biopsy methods.
Three times faster than its predecessor, Blue Crystal 4 (BC4) at University of Bristol can perform 600 trillion calculations per second and will accelerate the work of more than 1,000 researchers and engineers. According to Dr.
Researchers from Thomas Jefferson University Hospital in Philadelphia are training deep learning models to identify tuberculosis (TB) in an effort to help patients in regions with limited access to radiologists.
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.