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Sundara Ramalingam N
Head – Deep Learning Practice
NVIDIA Graphics Pvt Ltd., India
99455 67685
THE DEEP LEARNING AIREVOLUTION
POLL
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PC INTERNETWinTel, Yahoo!1 billion PC users
AI & IOTDeep Learning, GPU100s of billions of devices
MOBILE-CLOUDiPhone, Amazon AWS2.5 billion mobile users
1995 2005 2015
A NEW ERA OF COMPUTING
“It’s clear we’re moving from
a mobile first to an AI-first
world ”
Sundar Pichai, Google CEO
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GPU Computing
NVIDIA - THE AI COMPUTING COMPANYComputing for the Most Demanding Users
Computing Human Imagination
Computing Human Intelligence
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WHAT IS DEEP LEARNING?
Typical Network
Task objectivee.g. identify face
Training data10-100M images
Network architecture10 layers1B parameters
Learning algorithm~30 exaflops~30 GPU days
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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
POLL
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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
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Sundara Ramalingam N
Head – Deep Learning Practice
NVIDIA Graphics Pvt Ltd., India
99455 67685
THE DEEP LEARNING AIREVOLUTION
The Canvas of AI
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%
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%
…and Disbelievers
§AI not proven - 14%§ Lot of hype - 11%§What does AI mean - 3%
Value Proposition
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
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
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
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