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The AI Era Ignited by GPU Deep Learning

GPU Deep Learning has sparked a wave of innovations that will usher in the next era of computing. Read more.

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The AI Era Ignited by GPU Deep Learning

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  1. THE AI ERA IS HERE Ignited by a new computing model, GPU Deep Learning 1

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  3. This new model — where deep neural networks are trained to recognize patterns from massive amounts of data — has proven to be “unreasonably” effective at solving some of the most complex problems in computer science. 3

  4. In this era, software writes itself and machines learn. Soon, hundreds of billions of devices will be infused with intelligence. AI will revolutionize every industry. 4

  5. To advance every aspect of AI, NVIDIA is building an end-to-end AI computing platform — one architecture that spans training, inference and the billions of intelligent devices that are coming our way. 5

  6. This is the first step to ensuring that every industry can tap into the immense AI opportunity. READ MORE 6

  7. The global ecosystem for NVIDIA GPU Deep Learning has scaled out rapidly. Breakthrough results triggered a race to adopt AI for consumer internet services: TRANSLATION RECOMMENDATIONS SEARCH RECOGNITION 7

  8. Cloud service providers, from Alibaba and Amazon to IBM and Microsoft, make the NVIDIA GPU deep learning platform available to companies large and small. 8

  9. The world’s largest enterprise technology companies have configured servers based on NVIDIA GPUs. 9

  10. PayPal is improving cybersecurity with deep learning The team was able to: • Process $10,900 payments per second • Cut false alarm rates by 50% • Free up resources to combat true fraud 10

  11. Pinterest is Changing Online Retail with GPUs The team trained their neural networks on millions of images uploaded by Pinterest users and then used GPUs in Amazon cloud to detect and classify objects in real-time. 11

  12. AI can solve problems that seemed well beyond our reach just a few years back. From real-world data, computers can learn to recognize patterns too complex, too massive or too subtle for hand-crafted software or even humans. 12

  13. SURVEILLANCE FACTORY With GPU deep learning, this computing model can now be applied to solve challenges in the world’s largest industries. ENTERPRISE TRANSPORTATION 13

  14. AI TRANSPORTATION At $10 trillion, transportation is a massive industry that AI can transform. Autonomous vehicles can reduce accidents, improve the productivity of trucking and taxi services, and enable new mobility services. 14

  15. AI TRANSPORTATION NVIDIA CEO Jen-Hsun Huang, at the WSJD Live conference, envisions cars using AI to customize the driving experience, so vehicles automatically adjust themselves to each individual’s preferences. READ MORE 15

  16. AI TRANSPORTATION Each includes an open “cloud-to- car” platform that includes an HD map, AI algorithms and an AI supercomputer. Both Baidu and TomTom s elected NVIDIA DRIVE PX 2 for self-driving cars. TOMTOM BAIDU READ MORE 16

  17. AI CITY There will be 1 billion cameras in the world in 2020. Hikvision, the world leader in surveillance systems, is using AI to help make our cities safer. 17

  18. AI CITY Hikvision uses the DGX-1 for network training and built a breakthrough server, called “Blade,” based on 16 Jetson TX1 processors. Blade requires 1/20 the space and 1/10 the power of the 21 CPU-based servers of equivalent performance. READ MORE 18

  19. AI ENTERPRISE IBM saw a $2 trillion opportunity in cognitive computing and announced a new POWER8 and NVIDIA Tesla P100 server designed to bring AI to the enterprise. 19

  20. AI ENTERPRISE On the software side, SAP announced their obtainment of two NVIDIA DGX-1 supercomputers and is actively building machine learning enterprise solutions for its 320,000 customers in 190 countries. READ MORE 20

  21. AI FACTORY There are two billion industrial robots worldwide. Japan is the epicenter of robotics innovation. 21

  22. AI FACTORY FANUC, the Japan-based industrial robotics giant, will build the factory of the future on the NVIDIA AI platform, from end to end. READ MORE 22

  23. THE NEXT PHASE OF EVERY INDUSTRY GPU deep learning is inspiring a new wave of startups — 1,500+ around the world — in healthcare, fintech, automotive, consumer web applications and more. 23 https://www.cbinsights.com/blog/artificial-intelligence-funding-trends-q216/

  24. AI STARTUP Drive.ai was recently licensed to test its vehicles on California roads. It’s applying deep learning to the full driving stack. 24

  25. AI STARTUP Benevolent.ai, based in London and one of the first recipients of DGX- 1, is using deep learning for drug discovery to tackle diseases like Parkinson’s, Alzheimer’s and rare cancers. READ MORE 25

  26. Preferred Networks, the Japan-based developer of the Chainer framework, is developing deep learning solutions for IoT. 26

  27. AI is ushering in the fourthindustrial revolution — after steam, mass production and automation. 27

  28. This “Intelligent Industrial Revolution” will drive a new wave of productivity to enable mass customization. AI will touch everyone. READ MORE 28

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