Innovation report in a nutshell: Artificial Intelligence

1. Innovation Report:
Artificial IntelligenceIn a nutshell
Daniel Voignac • 08.2017

2. Overview
I. Definition
II. Issues
III. Applications
IV. Discussion

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. ● 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. I. Definition

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. Definition
● AI is a combination of:
○ Philosophy
○ Mathematics
○ Economics
○ Neuroscience
○ Psychology
○ Computer Engineering
○ Control theory and cybernetics
○ Linguistics

8. Machine Learning
● Computer to act without programing
● Deep learning: automation of predictive analytics
● Three types:
○ Supervised learning
○ Unsupervised learning
○ Reinforcement learning

9. II. Issues

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. Chatbots - Natural Language Processing (NLP)

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. 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. III. Applications

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. Resources
● https://www.tensorflow.org/
● https://ai.google/
● Google Brain
● https://openai.com/

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. 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. Thank you !
● Prediction
● Machine Learning
● Deep Learning
● Bots
● Image recognition