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Top 5 Deep Learning and AI Stories - September 28, 2018

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Read this week's top 5 news updates in deep learning and AI: Automakers look to virtual training to simulate billions of miles in driving, five Gordon Bell prize finalists leveraged Summit, the world's fastest supercomputer, Toronto celebrates NVIDIA's new Toronto AI lab and Canada's top researchers, scientists turn to simulated health data to train AI and preserve patient privacy, and two researchers leverage deep learning to create new levels for DOOM.

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Top 5 Deep Learning and AI Stories - September 28, 2018

  1. 1. Insights into the new computing model DEEP LEARNING TOP 5 September 28, 2018
  2. 2. DEEP LEARNING IS THE FASTEST-GROWING FIELD IN ARTIFICIAL INTELLIGENCE (AI)
  3. 3. AS AI TECHNOLOGIES CONTINUE TO IMPROVE, MORE COMPANIES ADOPT DEEP LEARNING TO ACCELERATE THEIR BUSINESSES…
  4. 4. TOP 5 DEEP LEARNING STORIES 1. Automakers look to virtual training to simulate billions of miles in driving. 2. Five Gordon Bell prize finalists leveraged Summit, the world's fastest supercomputer. 3. Toronto celebrates NVIDIA's new Toronto AI lab and Canada's top researchers. 4. Scientists turn to simulated health data to train AI and preserve patient privacy. 5. Two researchers leverage deep learning to create new levels for DOOM.
  5. 5. AUTOMAKERS LOOK TO VIRTUAL TRAINING TO SIMULATE BILLIONS OF MILES IN DRIVING Volkswagen plans to begin validating future advanced- driver assistance systems in a virtual environment. This will help speed up the development process immensely, as virtual environments can provide billions of miles of data for validation. “You need billions of miles of test drives to actually show that (an AV) is safer than a human,” says NVIDIA’s Senior Director of Automotive Danny Shapiro. “Simulation now is the key. You can test whether they can handle these different situations.” 1 Source: https://www.wardsauto.com/technology/vw-takes-adas-validation-virtual-world READ ARTICLE
  6. 6. FIVE GORDON BELL PRIZE FINALISTS LEVERAGED SUMMIT, THE WORLD'S FASTEST SUPERCOMPUTER Movies have the Oscars. Television has the Emmys. But for those harnessing compute power, what counts is the Gordon Bell Prize. This year 5 of the 6 finalists did their work on the NVIDIA GPU- accelerated Summit, the world’s fastest supercomputer, and Sierra systems. “Summit, an open system for researchers worldwide, is designed to bring 200 petaflops of high-precision computing performance and over 3 exaflops of AI, powered by 27,648 NVIDIA Volta Tensor Core GPUs.” 2 Source: https://blogs.nvidia.com/blog/2018/09/17/nvidia-volta-tensor-core-gpus-gordon-bell-finalists/ LEARN MORE
  7. 7. TORONTO CELEBRATES NVIDIA'S NEW TORONTO AI LAB AND CANADA'S TOP RESEARCHERS Last week in Toronto, NVIDIA CEO Jensen Huang praised Canada’s AI talent, calling it one of the world’s most important resources today. This growing resource was no accident, says University of Toronto’s Vivek Goel. “Supported by government funding, pioneers like U of T University Professor Emeritus Geoffrey Hinton, now known as the ‘godfather’ of deep learning, and his students toiled away for decades on a then-unpopular branch of AI that attempted to mimic how the human brain learns... The end result has been a boom in Toronto’s tech sector, which added more jobs than any other North American city last year.” 3 Source: https://www.utoronto.ca/news/nvidia-ceo-jensen-huang-calls-canada-s-ai-talent-incredible-key-resource READ MORE
  8. 8. SCIENTISTS TURN TO SIMULATED HEALTH DATA TO TRAIN AI AND PRESERVE PATIENT PRIVACY. In order to get enough good data to train disease- identifying AI, researchers from NVIDIA, Massachusetts General Hospital & Brigham and Women’s Hospital Center for Clinical Data Science and the Mayo Clinic presented a new paper at MICCAI 2018 showcasing how they used GANs to create synthetic brain MRI images with tumors. This research helps speed up AI training, as well as protect patient privacy. “The researchers used two open data sets of brain MRIs to train the system…the resulting images are good enough that using a mix of 10% real data and the rest GAN-created was as good at training the algorithm to spot tumors in new images as a data set made up of all real images.” 4 Source: https://www.fastcompany.com/90240746/deepfakes-for-good-why-researchers-are-using-ai-for-synthetic-health-data LEARN MORE
  9. 9. TWO RESEARCHERS LEVERAGE DEEP LEARNING TO CREATE NEW LEVELS FOR DOOM Two researchers joined the AI Podcast to discuss how they are using deep learning to generate new levels for DOOM, one of the most iconic video game franchises of all time. “DOOM is foundational to 3D gaming. 3D gaming, of course, is foundational to GPUs. GPUs, of course, are foundational to deep learning.” 5 Source: https://blogs.nvidia.com/ai-podcast/ LISTEN HERE
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