101 Webinar - Artificial Intelligence, Deep Learning and Geospatial
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This presentation is part of the webinar. Here is the link for the webinar recording https://www.anymeeting.com/geospatialworld/E955DA81854C39 Presentation Credits: NVIDIA & Geospatial Media
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101 Webinar - Artificial Intelligence, Deep Learning and Geospatial
- 2. 1 Sundara Ramalingam N Head â Deep Learning Practice NVIDIA Graphics Pvt Ltd., India snagalingam@nvidia.com 99455 67685 THE DEEP LEARNING AI REVOLUTION
- 3. POLL
- 4. 2 PC INTERNET WinTel, Yahoo! 1 billion PC users AI & IOT Deep Learning, GPU 100s of billions of devices MOBILE-CLOUD iPhone, Amazon AWS 2.5 billion mobile users 1995 2005 2015 A NEW ERA OF COMPUTING âItâs clear weâre moving from a mobile first to an AI-first world â Sundar Pichai, Google CEO
- 5. 3 GPU Computing NVIDIA - THE AI COMPUTING COMPANY Computing for the Most Demanding Users Computing Human Imagination Computing Human Intelligence
- 6. 4
- 7. 5 WHAT IS DEEP LEARNING? Typical Network Task objective e.g. identify face Training data 10-100M images Network architecture 10 layers 1B parameters Learning algorithm ~30 exaflops ~30 GPU days
- 8. 6 DEEP LEARNING EVERYWHERE Image Classification, Object Detection, Localization, Action Recognition Speech Recognition, Speech Translation, Natural Language Processing Breast Cancer Cell Mitosis Detection, Volumetric Brain Image Segmentation Pedestrian Detection, Lane Detection, Traffic Sign Recognition
- 9. POLL
- 10. 7 Touching human lives POVERTY PREDICTION STANFORD UNIVERSITY ACCELERATE EPIDEMIC FORECASTING LANCASTER MEDICAL SCHOOL ECOLOGICAL IMBALANCE ECOLOGY AND EARTH SCIENCE RESEARCH LOCATION INTELLIGENCE MAXIMIZE THE VALUE OF BI GEOLOGICAL DISASTER RECOGNITION CHINESE ACADEMY OF SCIENCES MONITORING GLOBAL DEFORESTATION WORLD RESOURCES INSTITUTE
- 11. 8 Sundara Ramalingam N Head â Deep Learning Practice NVIDIA Graphics Pvt Ltd., India snagalingam@nvidia.com 99455 67685 THE DEEP LEARNING AI REVOLUTION
- 12. SocioTechnical Aspects of AI Arup Dasgupta arup@geospatialmedia.net
- 13. TheCanvasofAI
- 14. Adoption of AI Technologies § Enterprises already using AI -38% § Will use by 2018 - 62% § Automating manual tasks - 26% § Using predictive analysis - 58% § Automated reporting and communications - 25% § Big Data users who also use AI - 95%
- 15. But there are doubters⊠§ 20% have not adopted citing lack of: § Business case - 42% § Clarity regarding usage - 39% § Modern data management platform - 29% § Skills - 33%, Budget - 23% § Knowledge on resources needed - 19% § Right processes or governance - 13% § Data - 8%
- 16. âŠand Disbelievers § AI not proven - 14% § Lot of hype - 11% § What does AI mean - 3%
- 17. ValueProposition
- 18. Key Issues § Loss of jobs and re-skilling of new-collar workers § Transparency in AI based decisions § Models of combined physical and social systems § Predictive modelling § Possible misuse of centrally collected data for behavioural control § Acceptability of AI by the public § Regulations
- 19. Job Losses to New Collar Workers § In the US AI will replace 16% of jobs by 2025 § There will be 9% new jobs § 93% of trained people feel they are unprepared to tackle these new technologies § New jobs will include robot monitors, data scientists, automaton specialists and content curators
- 20. Perceptions of AI by Groups § Groups § IMS - Intellectual Machines and Systems § SSH - Social Sciences and Humanities researchers § SF - Science Fiction writers § PM - Policy Makers § Scoring § 4 - rely on IMS, 1 - only Humans can do
- 21. POLL