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Ai trends towards a driverless world for ai open power meetup silicon vally march 2018

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Ganesan Narayanasamy

1. The document discusses emerging trends in artificial intelligence and machine learning towards a driverless world. Key trends discussed include recommendation engines, facial recognition using deep learning, object and person identification using computer vision, biometrics like fingerprinting, voice assistants in homes and cars, and vehicle-to-vehicle communication technologies. 2. The document also covers applications of AI and machine learning like cognitive IoT, deep learning in healthcare for disease prediction, integrating car telematics with artificial intelligence, and machine learning platforms and techniques. 3. Overall the document provides an overview of the state of artificial intelligence and machine learning technologies and their role in enabling an emerging driverless world.

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1 AI TRENDS TOWARDS A DRIVERLESS WORLD SUDHA  JAMTHE,  CEO  IoTDisrup5ons  &  Stanford  CSP     AI  OpenPower  Meetup,  CA,  USA  March  25th,  2018   IoTDisruptions.com © 2018 Sudha Jamthe Image: bigthink.com
SUDHA JAMTHE Background 2 CEO IoTDisruptions, Technology Futurist Continuing Studies Instructor Driverlesscarbook.com @sujamthe Driving the vision of a Driverless World.
WHAT IS THE DRIVERLESS WORLD? 3IoTDisruptions.com @sujamthe
THE DRIVERLESS WORLD = IoT MEETS AV DW Home Entertain ment Health Work 4 Car Cognition Robots & Smart Mobility (MAAS) Smart City Infrastructure Digitization of self & our health Voice engagements Fleet optimization © Sudha Jamthe Car TelematicsV2V, V2I and B2V machine communications IoTDisruptions.com DriverlessWorldsSchool.com @sujamthe
AI COMPANIES LANDSCAPE 5 IoTDisruptions.com http://bit.ly/IoTAIBook @sujamthe
WHAT IS STATE OF AI TECHNOLOGY? 6IoTDisruptions.com http://bit.ly/driverlessworld @sujamthe
AI TECHNOLOGY SPECTRUM 7 Machine Learning & Deep Learning Cognitive IoT AR/VR Voice to Text Text to Speech Facial Recognition Computer Vision NLP Machine Intelligence IoTDisruptions.com http://bit.ly/IoTAIBook @sujamthe Copyright: Sudha Jamthe
Machine Learning teaches computers to develop programs with large volume of data and drive decisions without human intervention. 8IoTDisruptions.com http://bit.ly/IoTAIBook @sujamthe
Machine Learning Works by Building Data Models (a geometric shape of data*) image: Techemregence Gaussian mixture model Training Data & Factors Predict Outcomes to make decisions 9IoTDisruptions.com http://bit.ly/IoTAIBook @sujamthe
Types of AI 1. Supervised (A-B type Machine Learning) – Get Training Data, Define factors, Remove biases 2. Unsupervised Learning aka Deep Mining (Neural Networks) - less factors, train same architecture for generic problem solving. 3. Reinforced Learning - Repeated learning based on a reward. 4. Transfer Learning - AI trained on one data set transfer learning to a different problem 10IoTDisruptions.com http://bit.ly/IoTAIBook @sujamthe
Building Products with Machine Learning 11IoTDisruptions.com http://bit.ly/IoTAIBook @sujamthe Pick a Machine Learning Platform (TensorFlow, ScikitLearn, Theano, Spark Mlib, H20) Develop the right stats model (decision tree, nearest neighbor, neural net, support vector machine) and Fit the data using right learning procedure ( linear regression, gradient descent, boosting, nagging) Develop Training Data & Fit (bias and variance, overfitting and underfitting, missing data, data leakage) Defining a ML Service into a Product (Identity, Data Governance, Algorithmic accuracy/ Compliance for industry) © Sudha Jamthe ML Engineer ML Researcher ML Product Manager
AI TRENDS TOWARDS THE DRIVERLESS WORLD 1 2 IoTDisruptions.com http://bit.ly/driverlessworld @sujamthe
1. RECOMMENDATION ENGINES & SPAM FILTERS 13IoTDisruptions.com http://bit.ly/IoTAIBook @sujamthe
2. Facial recognition with Deep Learning Source: https://medium.com/@ageitgey/machine-learning-is-fun-part-4-modern-face-recognition-with-deep-learning-c3cffc121d78 Credit: Adam Geitgey @ageitgey 1 4 IoTDisruptions.com http://bit.ly/IoTAIBook @sujamthe
3. Person Identification Source Nest.com and Nest Lab NestCam sends a notification when it spots a person IoTDisruptions.com http://bit.ly/IoTAIBook @sujamthe
1 6 4. Biometrics: Fingerprinting IoTDisruptions.com http://bit.ly/IoTAIBook @sujamthe
5. VOICE IN THE HOME AND CAR IOTDisruptions.com #IoTAI @sujamthe 17
1 8 Objects spotted – Traffic signs, cars, people 6. CAR COGNITION IoTDisruptions.com http://bit.ly/driverlessworld @sujamthe
1 9 7. Cognitive IoT using Computer Vision Image: Sudha Jamthe Yumu, Collaborative Industrial Arm, ABB Nanobots detect and kill cancer cellsKnightscope, Security Robots IoTDisruptions.com http://bit.ly/IoTAIBook @sujamthe
8. DEEP LEARNING IN HEALTHCARE IOTDisruptions.com #IoTAI @sujamthe 20 Deepmind (Google), predict Kidney problems Mind Controlled Robotic Arm Nanobots detect and kill cancer cells Image: cnn.com BigAu Teddy with Watson IoT
9. CAR AI + TELEMATICS 21 Ref: https://newsroom.intel.com/newsroom/wp-content/uploads/.../passenger-economy.pdf IoTDisruptions.com http://bit.ly/driverlessworld @sujamthe
10. V2V, V2I ,V2B COMMUNICATIONS 22IoTDisruptions.com http://bit.ly/driverlessworld @sujamthe Image: Nissan Brain controlled car from Nissan
REFERENCE 2 3 • api.ai, Cogito, DataSift, iSpeech, Microsoft Project Oxford, Mozscape, and OpenCalais. • Tensorflow • IBM Watson • aws.amazon.com/machine-learning/ • Comparison of Machine Learning Types • How to become a ML Engineer? IoTDisruptions.com #IoTAI @sujamthe
24IoTDisruptions.com http://bit.ly/IoTAIBook @sujamthe Source: blog.sas.com
Reference: IBM OpenPower AI Hardware 2 5 https://www.ibm.com/us-en/marketplace/power-systems-ac922 IoTDisruptions.com #IoTAI @sujamthe
Connect with me! Slides: slideshare.com/sujamthe Twitter: @sujamthe Newsletter: iotdisruptions.com Online courses: (from April 9 2018) http://driverlessworldschool.com Books: http://bit.ly/sudhajamthe 26IoTDisruptions.com #IoTAI @sujamthe

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Ai trends towards a driverless world for ai open power meetup silicon vally march 2018

  • 1. 1 AI TRENDS TOWARDS A DRIVERLESS WORLD SUDHA  JAMTHE,  CEO  IoTDisrup5ons  &  Stanford  CSP     AI  OpenPower  Meetup,  CA,  USA  March  25th,  2018   IoTDisruptions.com © 2018 Sudha Jamthe Image: bigthink.com
  • 2. SUDHA JAMTHE Background 2 CEO IoTDisruptions, Technology Futurist Continuing Studies Instructor Driverlesscarbook.com @sujamthe Driving the vision of a Driverless World.
  • 3. WHAT IS THE DRIVERLESS WORLD? 3IoTDisruptions.com @sujamthe
  • 4. THE DRIVERLESS WORLD = IoT MEETS AV DW Home Entertain ment Health Work 4 Car Cognition Robots & Smart Mobility (MAAS) Smart City Infrastructure Digitization of self & our health Voice engagements Fleet optimization © Sudha Jamthe Car TelematicsV2V, V2I and B2V machine communications IoTDisruptions.com DriverlessWorldsSchool.com @sujamthe
  • 5. AI COMPANIES LANDSCAPE 5 IoTDisruptions.com http://bit.ly/IoTAIBook @sujamthe
  • 6. WHAT IS STATE OF AI TECHNOLOGY? 6IoTDisruptions.com http://bit.ly/driverlessworld @sujamthe
  • 7. AI TECHNOLOGY SPECTRUM 7 Machine Learning & Deep Learning Cognitive IoT AR/VR Voice to Text Text to Speech Facial Recognition Computer Vision NLP Machine Intelligence IoTDisruptions.com http://bit.ly/IoTAIBook @sujamthe Copyright: Sudha Jamthe
  • 8. Machine Learning teaches computers to develop programs with large volume of data and drive decisions without human intervention. 8IoTDisruptions.com http://bit.ly/IoTAIBook @sujamthe
  • 9. Machine Learning Works by Building Data Models (a geometric shape of data*) image: Techemregence Gaussian mixture model Training Data & Factors Predict Outcomes to make decisions 9IoTDisruptions.com http://bit.ly/IoTAIBook @sujamthe
  • 10. Types of AI 1. Supervised (A-B type Machine Learning) – Get Training Data, Define factors, Remove biases 2. Unsupervised Learning aka Deep Mining (Neural Networks) - less factors, train same architecture for generic problem solving. 3. Reinforced Learning - Repeated learning based on a reward. 4. Transfer Learning - AI trained on one data set transfer learning to a different problem 10IoTDisruptions.com http://bit.ly/IoTAIBook @sujamthe
  • 11. Building Products with Machine Learning 11IoTDisruptions.com http://bit.ly/IoTAIBook @sujamthe Pick a Machine Learning Platform (TensorFlow, ScikitLearn, Theano, Spark Mlib, H20) Develop the right stats model (decision tree, nearest neighbor, neural net, support vector machine) and Fit the data using right learning procedure ( linear regression, gradient descent, boosting, nagging) Develop Training Data & Fit (bias and variance, overfitting and underfitting, missing data, data leakage) Defining a ML Service into a Product (Identity, Data Governance, Algorithmic accuracy/ Compliance for industry) © Sudha Jamthe ML Engineer ML Researcher ML Product Manager
  • 12. AI TRENDS TOWARDS THE DRIVERLESS WORLD 1 2 IoTDisruptions.com http://bit.ly/driverlessworld @sujamthe
  • 13. 1. RECOMMENDATION ENGINES & SPAM FILTERS 13IoTDisruptions.com http://bit.ly/IoTAIBook @sujamthe
  • 14. 2. Facial recognition with Deep Learning Source: https://medium.com/@ageitgey/machine-learning-is-fun-part-4-modern-face-recognition-with-deep-learning-c3cffc121d78 Credit: Adam Geitgey @ageitgey 1 4 IoTDisruptions.com http://bit.ly/IoTAIBook @sujamthe
  • 15. 3. Person Identification Source Nest.com and Nest Lab NestCam sends a notification when it spots a person IoTDisruptions.com http://bit.ly/IoTAIBook @sujamthe
  • 16. 1 6 4. Biometrics: Fingerprinting IoTDisruptions.com http://bit.ly/IoTAIBook @sujamthe
  • 17. 5. VOICE IN THE HOME AND CAR IOTDisruptions.com #IoTAI @sujamthe 17
  • 18. 1 8 Objects spotted – Traffic signs, cars, people 6. CAR COGNITION IoTDisruptions.com http://bit.ly/driverlessworld @sujamthe
  • 19. 1 9 7. Cognitive IoT using Computer Vision Image: Sudha Jamthe Yumu, Collaborative Industrial Arm, ABB Nanobots detect and kill cancer cellsKnightscope, Security Robots IoTDisruptions.com http://bit.ly/IoTAIBook @sujamthe
  • 20. 8. DEEP LEARNING IN HEALTHCARE IOTDisruptions.com #IoTAI @sujamthe 20 Deepmind (Google), predict Kidney problems Mind Controlled Robotic Arm Nanobots detect and kill cancer cells Image: cnn.com BigAu Teddy with Watson IoT
  • 21. 9. CAR AI + TELEMATICS 21 Ref: https://newsroom.intel.com/newsroom/wp-content/uploads/.../passenger-economy.pdf IoTDisruptions.com http://bit.ly/driverlessworld @sujamthe
  • 22. 10. V2V, V2I ,V2B COMMUNICATIONS 22IoTDisruptions.com http://bit.ly/driverlessworld @sujamthe Image: Nissan Brain controlled car from Nissan
  • 23. REFERENCE 2 3 • api.ai, Cogito, DataSift, iSpeech, Microsoft Project Oxford, Mozscape, and OpenCalais. • Tensorflow • IBM Watson • aws.amazon.com/machine-learning/ • Comparison of Machine Learning Types • How to become a ML Engineer? IoTDisruptions.com #IoTAI @sujamthe
  • 25. Reference: IBM OpenPower AI Hardware 2 5 https://www.ibm.com/us-en/marketplace/power-systems-ac922 IoTDisruptions.com #IoTAI @sujamthe
  • 26. Connect with me! Slides: slideshare.com/sujamthe Twitter: @sujamthe Newsletter: iotdisruptions.com Online courses: (from April 9 2018) http://driverlessworldschool.com Books: http://bit.ly/sudhajamthe 26IoTDisruptions.com #IoTAI @sujamthe