November 29, 2016

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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 processing of transcriptomes from thousands of cells gleaned from patient tumor samples … Read more

February 29, 2016

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GPUs Help Measure Rising Sea Levels in Real-Time

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 researchers from Chalmers University of Technology in Sweden are using GPS receivers along the coastline in combination with reflections of … Read more

January 19, 2016

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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 and new situations without a human reprogramming them … Read more

January 13, 2016

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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 performance of their initial CPU-only implementation was “not acceptable for a real-time system” so they … Read more

January 11, 2016

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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 researchers working to protect the species from extinction. The current process is quite time-consuming and laborious. It starts wit … Read more

January 4, 2016

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Diagnosing Cancer with Deep Learning and GPUs

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 day save physicians and patients precious tim … Read more

December 4, 2015

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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 are markers of metastatic cancer … Read more

December 1, 2015

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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 tissue of benign and malignant colorectal cancer … Read more

November 30, 2015

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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 developing a “genetic interpretation engine” – a GPU-powered, deep learning method for … Read more

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