Green computing, also called sustainable computing, aims to maximize energy efficiency and minimize environmental impact in the ways computer chips, systems,...
Share Your Science: Understanding Cancer Biology with GPUs
Gil Speyer, Senior Postdoctoral Fellow at the Translational Genomics Research Institute (TGen) shares how NVIDIA technology is accelerating the computer...
Sea levels have traditionally been measured by marks on land – but the problem with this approach is that parts of the earth’s crust move too. A group of...
Deep Learning Helps Robot Learn to Walk the Way Humans Do
University of California, Berkeley researchers are using deep learning and NVIDIA GPUs to create a new generation of robots that adapt to changing environments...
Pedestrian-Following Service Robots Made Possible with CUDA Acceleration
A team of researchers from Seoul National University built a pedestrian-following service robot to drive smart shopping carts and other autonomous helpers. The...
Identifying Endangered Whales with Deep Neural Networks
With less than 500 North Atlantic right whales left in the world's oceans, knowing the health and status of each whale is integral to the efforts of...
Using GPU-accelerated deep learning, researchers at The Chinese University of Hong Kong pushed the boundaries of cancer image analysis in a way that could one...
Share Your Science: Detecting Tumor Cells in Blood Samples
Dr. Diego Rossinelli, an ETH Zurich researcher and 2015 Gordon Bell Finalist, shares how they are relying on CUDA and Tesla GPUs to track down tumor cells that...
Using CUDA and Machine Learning to Detect Colon Cancer
As part of the GlaS@MICCAI2015 colon gland segmentation challenge, a team of researchers introduced a machine learning-based algorithm to segment glands in...
University of Toronto's GPU-Accelerated Cancer Research Wins NVIDIA Foundation Award
Cancer kills almost 600,000 people each year in the U.S. alone. Researchers from the University of Toronto are advancing computational cancer research by...
