Innovation Report:Artificial IntelligenceIn a nutshell

Daniel Voignac • 08.2017

Overview

I. Definition

II. Issues

III. Applications

IV. Discussion

● “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

● 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

I. Definition

Artificial IntelligenceDeep Learning

Self Driving carsCognitive Computing

Deep Neural Networks

Pattern RecognitionMachine Learning

Diagnostic assistance Chatbots

Intuition

AlgorithmsVirtual assistant

Machine Translation

Recommendation systems

Robots

Search Engine

Spam Detection

Cancer detection

Games

Turing test

Definition● AI is a combination of:

○ Philosophy

○ Mathematics

○ Economics

○ Neuroscience

○ Psychology

○ Computer Engineering

○ Control theory and cybernetics

○ Linguistics

Machine Learning

● Computer to act without programing

● Deep learning: automation of predictive analytics

● Three types:

○ Supervised learning

○ Unsupervised learning

○ Reinforcement learning

II. Issues

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

Chatbots - Natural Language Processing (NLP)

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

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

III. Applications

Applications

● Virtual Assistants

○ Siri, Alexa, Allo, Watson, Einstein…

● Chatbot platforms

○ Messenger, Slack, Skype, SMS, Email

● Self-driving cars

○ Tesla Autopilot 2.0

○ Mobileye

Resources

● https://www.tensorflow.org/

● https://ai.google/

● Google Brain

● https://openai.com/

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

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

Thank you !● Prediction

● Machine Learning

● Deep Learning

● Bots

● Image recognition