DEEP LEARNING A NEW COMPUTING MODEL Sundara R Nagalingam Head Deep Learning Practice snagalingam@nvidia.com
THE ERA OF AI AI CLOUD MOBILE PC 2
DEEP LEARNING Raw data Low-level features Mid-level features High-level features Input Result Application components: Task objective e.g. Identify face Training data 10-100M images Network architecture ~10s-100s of layers 1B parameters Learning algorithm ~30 Exaflops 1-30 GPU days 3
DEEP LEARNING EVERYWHERE INTERNET & CLOUD Image Classification Speech Recognition Language Translation Language Processing Sentiment Analysis Recommendation MEDICINE & BIOLOGY Cancer Cell Detection Diabetic Grading Drug Discovery MEDIA & ENTERTAINMENT Video Captioning Video Search Real Time Translation SECURITY & DEFENSE Face Detection Video Surveillance Satellite Imagery AUTONOMOUS MACHINES Pedestrian Detection Lane Tracking Recognize Traffic Sign 4
TOUCHING HUMAN LIVES POVERTY PREDICTION ECOLOGICAL IMBALANCE ACCELERATE EPIDEMIC FORECASTING STANFORD UNIVERSITY ECOLOGY AND EARTH SCIENCE RESEARCH LANCASTER MEDICAL SCHOOL GEOLOGICAL DISASTER RECOGNITION LOCATION INTELLIGENCE MONITORING GLOBAL DEFORESTATION CHINESE ACADEMY OF SCIENCES MAXIMIZE THE VALUE OF BI WORLD RESOURCES INSTITUTE 5
AN AI MONITOR OF EARTH S VITALS The Earth s climate has changed throughout history, but in recent years there have been record increases in temperature, glacial retreat and rising sea levels. NASA Ames is using satellite imagery to measure the effects of carbon and greenhouse gas emissions on the planet. To do so, they developed DeepSat a deep learning framework for satellite image classification trained on a GPU-powered supercomputer. The enhanced satellite imagery will help scientists plan to protect ecosystems and farmers improve crop production. NASA: Late summer 2016, forest fires in Africa produce plumes of CO 2 Left: CO 2-10/14/2016 / Right: CO 2-12/24/2016 Source: https://climate.nasa.gov/climate_resources/142/ 6
DEFENDING THE PLANET WITH AI The U.S. government s Asteroid Grand Challenge seeks to identify asteroid threats to human populations. The team at NASA Frontier Development Labs picked up the challenge by employing GPU deep learning to identify threats and their unique characteristics. The resulting Deflector Selector achieved a 98% success rate in determining which technology produced the most successful deflection. 7
A 21 st CENTURY PLANNING TOOL BUILT ON AI With the Earth's population at 7 billion and growing, understanding population distribution is essential to meeting societal needs for infrastructure, resources and vital services. Using GPUs and deep learning, Oak Ridge National Laboratory can quickly process highresolution satellite imagery to map human settlements and changing urban dynamics. With the ability to process a major city in minutes, ORNL can provide emergency response teams critical information that used to take days to create. 8
Accuracy SAFE AND SMART CITIES IS AN AI PROBLEM 1,000M 800M Image Classification Human 97% 600M 400M 74% Deep Learning 200M 0M 2016 2020 Hand-coded CV 2010 2016 1B installed security cameras WW (2020) 30B frames per day Challenging real-world conditions Traditional video analytics not trustworthy AI achieves superhuman results AI-driven intelligent video analytics 9
NVIDIA TENSORRT 10X BETTER DATA CENTER TCO 160 CPU Servers 45,000 Images / Second 65 KWatts 10
NVIDIA TENSORRT 10X BETTER DATA CENTER TCO 1 NVIDIA HGX with 8 Tesla V100 GPUs 45,000 Images / Second 3 KWatts 1/6 the Cost 1/20 the Power 4 Racks in a Box 11
THE AUTONOMOUS VEHICLE REVOLUTION 12
STATE-OF-THE-ART DRIVERLESS VEHICLES 13
NEW PEGASUS ROBOTAXI DRIVE PX 320 TOPS CUDA TensorCore 16x GMSL 4x 10G 8x 1G 16x 100M Auto-grade ASIL D 500W Late Q1 Early Access Partners Supercomputing Data Center in Your Trunk Size of a License Plate 14
THE ERA OF AUTONOMOUS MACHINES 10% of Manufacturing Tasks Are Automated 1M Pizzas Delivered Per Day by Domino s 100M People 80+ Years Old Ag Tech: 70% Increase in Farm Yields by 2050 600K Bridges to Inspect in the U.S. 300M Operations per Year WW 15
NEXT STEPS NEW TO AI? DEVELOPER? ACADEMIA? STARTUP? NVIDIA Deep Learning Institute www.nvidia.com/dli Sign up! www.developer.nvidia.com Use the NVIDIA Teaching kits https://developer.nvidia.com/teaching-kits Join the NVIDIA Inception Program https://www.nvidia.com/en-us/deep-learning-ai/startups/ 16