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Innovation report in a nutshell: Artificial Intelligence

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Innovation report in a nutshell: Artificial Intelligence

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Innovation report in a nutshell: Artificial Intelligence

  1. 1. Innovation Report: Artificial IntelligenceIn a nutshell Daniel Voignac • 08.2017
  2. 2. Overview I. Definition II. Issues III. Applications IV. Discussion
  3. 3. ● “The study and design of intelligent agents, where an intelligent agent is a system that perceives its environment and takes actions that maximize its chances of success.” Russel and Norvig ● “Just as the Industrial Revolution freed up a lot of humanity from physical drudgery, I think AI has the potential to free up humanity from a lot of the mental drudgery.” Andrew Ng
  4. 4. ● Set of computer science techniques ● Perform tasks normally requiring human intelligence, such as: ○ visual perception ○ speech recognition, ○ decision-making ○ language translation ● Machine learning and deep learning are branches of AI which, based on algorithms and powerful data analysis, enable computers to learn and adapt independently
  5. 5. I. Definition
  6. 6. Artificial Intelligence Deep Learning Self Driving cars Cognitive Computing Deep Neural Networks Pattern Recognition Machine Learning Diagnostic assistanceChatbots Intuition Algorithms Virtual assistant Machine Translation Recommendation systems Robots Search Engine Spam Detection Cancer detection Games Turing test
  7. 7. Definition ● AI is a combination of: ○ Philosophy ○ Mathematics ○ Economics ○ Neuroscience ○ Psychology ○ Computer Engineering ○ Control theory and cybernetics ○ Linguistics
  8. 8. Machine Learning ● Computer to act without programing ● Deep learning: automation of predictive analytics ● Three types: ○ Supervised learning ○ Unsupervised learning ○ Reinforcement learning
  9. 9. II. Issues
  10. 10. Personalisation ● Smart Home ○ Smart fridge ■ Samsung FamilyHub fridge (You can go have a look at it at Boulanger down the street) ○ Apple HomePod, Amazon Alexa, Google Home, Nest etc. ○ iRobot vacuum cleaner
  11. 11. Chatbots - Natural Language Processing (NLP)
  12. 12. Recommendation & Prediction ● Deep learning and regression modelling ● To simplify: ○ Consider all past events occurred at random ○ Group your data ○ Find a mathematical model that suits best ○ Iterate
  13. 13. Self-driving (cars?) ● Computer Vision ● Behavioural Prediction ● Influential companies include: ○ Waymo ○ Apple ○ Mobileye ○ Uber ○ Tesla Level Name 0 No Driving Automation 1 Driver Assistance 2 Partial Driving Automation 3 Conditional Driving Automation 4 High Driving Automation 5 Full Driving Automation
  14. 14. III. Applications
  15. 15. Applications ● Virtual Assistants ○ Siri, Alexa, Allo, Watson, Einstein… ● Chatbot platforms ○ Messenger, Slack, Skype, SMS, Email ● Self-driving cars ○ Tesla Autopilot 2.0 ○ Mobileye
  16. 16. Resources ● https://www.tensorflow.org/ ● https://ai.google/ ● Google Brain ● https://openai.com/
  17. 17. References ● Patrick Winston. 6.034 Artificial Intelligence. Fall 2010. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: Creative Commons BY-NC-SA. ● S. Russell, P.Norvig, Artificial Intelligence: A Modern Approach, Third Edition, 2010, Pearson Education, New Jersey
  18. 18. Useful links - Top 3 ● https://www.coursera.org/learn/machine-learning ● https://deeplearning4j.org/neuralnet-overview#define ● https://chatbotsmagazine.com/chatbots-the-beginners-guide- 618e72599b55
  19. 19. Thank you ! ● Prediction ● Machine Learning ● Deep Learning ● Bots ● Image recognition

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