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"How Deep Learning Is Enabling Computer Vision Markets," a Presentation from Tractica

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For the full video of this presentation, please visit:
http://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/may-2016-embedded-vision-summit-tractica

For more information about embedded vision, please visit:
http://www.embedded-vision.com

Bruce Daley, Principal Analyst at Tractica, presents the "How Deep Learning Is Enabling Computer Vision Markets" tutorial at the May 2016 Embedded Vision Summit.

Deep learning has emerged as one of the most significant enabling technologies in the world of artificial intelligence (AI) and is beginning to be applied to a variety of business processes in industries ranging from healthcare to manufacturing to automotive, among others. As a key tool for automating and accelerating the analysis of large data sets generated by a proliferation of sensors and other connected devices, deep learning algorithms will find a home in a multitude of business and research applications.

This presentation highlights the market factors, technology issues, use cases, and industry ecosystem that are developing around the use of deep learning for computer vision. Based on Tractica’s ongoing research and analysis, the presentation provides rich strategic insights as well as detailed quantification of the market opportunity in this burgeoning space.

Publié dans : Technologie
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"How Deep Learning Is Enabling Computer Vision Markets," a Presentation from Tractica

  1. 1. Copyright © 2016 Tractica 1 How Deep Learning Is Enabling Computer Vision Markets Bruce Daley May 2, 2016
  2. 2. Copyright © 2016 Tractica 2 What the Future Promised 1956 1958 1960 1962 1964 1966 1968 1970 First AI Winter 1970 Term “Artificial Intelligence” Coined at Dartmouth Conferences Summer 1956 Mark 1 Perceptron Artificial Neural Net 1958 Perceptrons published1969 2001 ReleasedApril 3 1968 Calculus solver1961 Checkers program1962 Knowledge based Chess1967 Natural Language Algebra Solver 1964 ATOMIC CARS ARTIFICIAL INTELLIGENCE VACATIONS ON THE MOON
  3. 3. Copyright © 2016 Tractica 3 What We Got Instead REALITY TVSTAYCATIONSYUGO Google Unsupervised Deep Learning Test June 2012 2008 2009 2010 2011 2012 2013 2014 2015 Checkers solved by researchers at University of Alberta 2007 Google builds self driving car 2010 Artificial Intelligence for Enterprise Applications published Apr 2015 Her Released Dec 18 2013 Narrative Science creates Quill to write news stories 2010 IBM Watson wins Jeopardy! 2011 Apple launches Siri2011
  4. 4. Copyright © 2016 Tractica 4 Why We Became Interested $- $10,000 $20,000 $30,000 $40,000 $50,000 $60,000 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 Expected Growth in Deep Learning Hardware Services Software WHAT IS DIFFERENT NOW? $10.4 billion for software alone in 2024 Hardware and services revenue will be many times software sales • Increases in data • Improvements in hardware • Advancements in algorithms
  5. 5. Copyright © 2016 Tractica 5 Introductions BRUCE DALEY Principal Analyst Artificial Intelligence Conclusion Deep Learning Market Use Cases and Forecasts Market Drivers and Market Barriers About Tractica What is Different About Deep Learning?
  6. 6. Copyright © 2016 Tractica 6 About Tractica Tractica is a market intelligence firm that focuses on human interaction with technology The firm’s market research and consulting services provide industry participants and stakeholders with in-depth analysis of emerging technology trends, business issues, market drivers, and end-user demand dynamics across multiple application domains Sector Focus • User Interface Technologies • Biometrics • Digital Health • Wearable Devices • Automation & Robotics Research Services • Research Reports • Research Subscriptions • Analyst Inquiry Sessions • Consulting Projects • Go-to-Market Services • End-User Surveys
  7. 7. Copyright © 2016 Tractica 7 Using Deep Learning to Paint by the Numbers The Numbers 19 layer neural net ~524,288 nodes 500 – 1,000 iterations to generate Represent Generate Content Style
  8. 8. Copyright © 2016 Tractica 8 Painting by the Numbers — Vary the Style Content Style Content Style
  9. 9. Copyright © 2016 Tractica 9 Painting by the Numbers — Vary the Content Content Content StyleStyle
  10. 10. Copyright © 2016 Tractica 10 Painting by the Numbers — Conclusion Usually Low Ascetic Value Occasionally Very High Aesthetic Value — Fine Art COULD HAVE BEEN DONE USING: • Photoshop • C++ • Paint Brush
  11. 11. Copyright © 2016 Tractica 11 What’s New About Deep Learning? Mimic the Brain Philosopher's Stone 01110111 01101000 01100101 01110010 01100101 00100000 Enabling Technology • Deep learning is limited • Deep learning is real • Deep learning is different
  12. 12. Copyright © 2016 Tractica 12 More Data Than Ever Before Growth of Value of Data Growth Maturity Decline Product Life Cycle Introduc- tion The data from millions of security video cameras vastly outnumbers the time humans can spend monitoring them in real-time – much less analyze them after the fact Data Grows Throughout Product Life Cycle Amount of Data Impossible to Analyze Manually0 20 40 60 80 100 120 140 2016 2017 2018 2019 2020 2021 2022 Predicted Growth in Amount of Data
  13. 13. Copyright © 2016 Tractica 13 Market Drivers and Barriers MARKET DRIVERS MARKET BARRIERS • Technology limitations • Gap between expectations and reality • Social concerns • Political and regulatory factors • Shortage of talent • Immaturity of the market • Increase in data • Hardware performance improvement • GPU • FPGA • ASSP • Software algorithm advancement • Macro markets • Economic trends
  14. 14. Copyright © 2016 Tractica 14 Deep Learning Market Map Universities Big Tech Semi- conductor Companies Open Source University of Toronto Stanford University IDSIA Dalle Molle InstituteNYU Intel NVIDIA Qualcomm Microsoft Caffe Theano TensorFlow H20.AI Baidu Apple Torch IBM Google Facebook Amazon Uber University of Montreal Xilinx Tsinghua University Berkeley Carnegie Mellon Oxford MIT University of Hong Kong Purdue KALDICNTK
  15. 15. Copyright © 2016 Tractica 15 Image Tagging and Owner Identification Use Case Although not strictly computer vision, an important use case to understand #cat 10110 01001 10010 #1 #cat owner 10110 01001 10010 #2 Extract Group Identify Classify MonetizeUse Case Use Case 2.1 from Deep Learning Use Cases for Computer Vision The need — every day, Facebook users upload 350 million new photos, and Google is estimated to have indexed over 1 trillion images. It is not humanly possible to tag all these pictures. Yet they have significant value
  16. 16. Copyright © 2016 Tractica 16 Market Forecast: Ad Services Industry $0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 $3,500 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 North America Western Europe Eastern Europe Asia Pacific Latin America Middle East Africa ($Millions) Deep Learning Software Revenue in the Ad Service Industry by Region, World Markets: 2015-2024 (Source: Tractica) Companies to Watch Most data and best business model makes this sector the one to follow Key Takeaway “Deep Learning can be applied to almost every Google product.” —Pete Warden Staff Research Engineer, Google
  17. 17. Copyright © 2016 Tractica 17 Digital Radiology Use Case Use Case 2.2 from Deep Learning Use Cases for Computer Vision The need — reading X-Rays and other electronic images is expensive and often not very influential on a patient’s health. Many stakeholders in the system would like to eliminate waste, reduce the number of mistakes, and reduce compensation for analyzing these images
  18. 18. Copyright © 2016 Tractica 18 Market Forecast: Medical Diagnostics Industry $0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 $3,500 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 North America Western Europe Eastern Europe Asia Pacific Latin America Middle East Africa ($Millions) Deep Learning Software Revenue in the Medical Diagnostics Industry by Region, World Markets: 2015-2024 (Source: Tractica) $0 $50 $100 $150 $200 $250 $300 $350 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 North America Western Europe Eastern Europe Asia Pacific Latin America Middle East Africa ($Millions) Companies to Watch Evidence-based medicine could lead to machine prescriptions and a new business model, especially in the developing world Key Takeaway
  19. 19. Copyright © 2016 Tractica 19 Agricultural Crop Health Analysis Use Case Use Case 2.3 from Deep Learning Use Cases for Computer Vision The need — more food for a hungry world. Satellites can conduct remote agricultural inventories of crops; identify soil health, wet spots in fields, or irrigation and waste runoff; and monitor crop canopies
  20. 20. Copyright © 2016 Tractica 20 Market Forecast: Agriculture Industry $0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 $3,500 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 North America Western Europe Eastern Europe Asia Pacific Latin America Middle East Africa ($Millions) Deep Learning Software Revenue in the Agriculture Industry by Region, World Markets: 2015-2024 (Source: Tractica) $0 $50 $100 $150 $200 $250 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 North America Western Europe Eastern Europe Asia Pacific Latin America Middle East Africa ($Millions) Companies to Watch First world agriculture has some of the best use cases of any industry Key Takeaway
  21. 21. Copyright © 2016 Tractica 21 Clinical Trial Medication Compliance Use Case The need — patients not taking the right medications, at the right time, and in the right doses is a major problem in medicine. The problem is particularly acute in clinical trials Use Case 2.4 from Deep Learning Use Cases for Computer Vision
  22. 22. Copyright © 2016 Tractica 22 Market Forecast: Healthcare Deep Learning Software Revenue in the Healthcare Industry by Region, World Markets: 2015-2024 (Source: Tractica) $0 $10 $20 $30 $40 $50 $60 $70 $80 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 North America Western Europe Eastern Europe Asia Pacific Latin America Middle East Africa Companies to Watch The more administrative aspects of healthcare will benefit from deep learning long before patients will see any meaningful benefit Key Takeaway
  23. 23. Copyright © 2016 Tractica 23 Clothes Sizing and Fitting Use Case Use Case 2.5 from Deep Learning Use Cases for Computer Vision The need — during the dot-com boom, online clothing sales were predicted to grow to 50% of total sales. Other kinds of merchandise have reached that mark but online clothing sales hovers around 20%
  24. 24. Copyright © 2016 Tractica 24 Market Forecast: Retail Industry $0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 $3,500 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 North America Western Europe Eastern Europe Asia Pacific Latin America Middle East Africa ($Millions) Deep Learning Software Revenue in the Retail Industry by Region, World Markets: 2015-2024 (Source: Tractica) $0 $100 $200 $300 $400 $500 $600 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 North America Western Europe Eastern Europe Asia Pacific Latin America Middle East Africa ($Millions) Companies to Watch Retail is likely to be an industry sector where deep learning has a profound influence Key Takeaway
  25. 25. Copyright © 2016 Tractica 25 Manufacturing Use Case — Quality Control Use Case Use Case 2.6 from Deep Learning Use Cases for Computer Vision The need — in 2012, the number of automobile recalls almost equaled the number of sales, and a high volume of warranty payments impacted automakers’ profits
  26. 26. Copyright © 2016 Tractica 26 $0 $200 $400 $600 $800 $1,000 $1,200 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 North America Western Europe Eastern Europe Asia Pacific Latin America Middle East Africa ($Millions) Market Forecast: Manufacturing Deep Learning Software Revenue in the Manufacturing Industry by Region, World Markets: 2015-2024 (Source: Tractica) Companies to Watch Surprisingly, this sector lags behind others in research and adoption. The U.S. and China lead, but a strong Japanese resurgence should not be ruled out Key Takeaway
  27. 27. Copyright © 2016 Tractica 27 • Deep learning is limited • Enabling technology • Mimics the brain but not exactly • Dependent on good data • Deep learning is real • More data • Faster hardware • Better software • Deep learning is different • Data agnostic • New programming methodologies • Companies with the best business models will win Its the business models, not the technology, that will prove most disruptive Growth in Value of Data Introduction Growth Maturity Decline Sales Product Life Cycle Forecasts Summary
  28. 28. Copyright © 2016 Tractica 28 “In all industries, especially the technology industry, people overestimate what you can do in one year, and they underestimate what you can do in ten.” Deep Learning Will Enable New Business Models, Disrupt Old Ones, and Create New Sources of Wealth Largest taxi Company (Source: Tom Goodwin) Most valuable retailer Largest hotel company Most popular media company Marc Benioff Chairman and CEO
  29. 29. Copyright © 2016 Tractica 29 TITLE Subtitle Quarter BRUCEDALEY Principal Analyst CLINT WHEELOCK Managing Director DeepLearningfor Enterprise Applications Advertising Technology,Financial Services,Media, Manufacturing,Oil & Gas,Retail,and Other Enterprise Marketsfor Deep LearningSoftware and Systems Published 4Q 2015 RESEARCH REPORT • Industries • Ad Service Technology • Agriculture • Automotive • Consumer Finance • Data Storage and Networking • Education • Healthcare • Investment • Legal • Manufacturing • Media • Medical Diagnostics • Oil and Gas • Philanthropies • Retail Additional Reading • Hardware Product Categories • Cloud Services • Compute Products • GPU Chips • Network Products • Storage Devices
  30. 30. Copyright © 2016 Tractica 30 Additional Reading Where Data is Wealth Profiting from data storage in a digital society Published 4Q 2015 TITLE Subtitle Quarter BRUCEDALEY Principal Analyst CLINT WHEELOCK Managing Director DeepLearningfor Enterprise Applications Advertising Technology,Financial Services,Media, Manufacturing,Oil & Gas,Retail,and Other Enterprise Marketsfor Deep LearningSoftware and Systems Published 4Q 2015 RESEARCH REPORT Deep Learning Use Cases for Computer Vision Six Deep Learning-Enabled Vision Applications in Digital Media, Healthcare, Agriculture, Retail, Manufacturing, and Other Industries Published 2Q 2016
  31. 31. Copyright © 2016 Tractica 31 1111 Pearl Street, Suite 201 Boulder, CO 80302 USA +1.303.248.3000 www.tractica.com Contact Us

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