SlideShare a Scribd company logo
1 of 43
Download to read offline
Innovation Report:
Artificial Intelligence
Daniel Voignac • 08.2017
Overview
I. Definition
II. Issues
III. Applications
f
Motivation
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
I. Definition
● “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
Definition
Thinking humanly Thinking rationally
“The exciting new effort to make
computers think... machines with
minds, in the full and literal sense.”
(Haugeland, 1985)
“The study of mental faculties
through the use of computational
models.” (Charniak and McDermott,
1985
Acting humanly Acting rationally
“The study of how to make
computers do things which, at the
moment, people are better.” (Rich
and Knight, 1991)
“Computational Intelligence is the
study of the design of intelligent
agents.” (Poole et al., 1998)
Definition
● AI is a combination of:
○ Philosophy
○ Mathematics
○ Economics
○ Neuroscience
○ Psychology
○ Computer Engineering
○ Control theory and cybernetics
○ Linguistics
Robotic Process Automation
(RPA)
● High-Volume repeatable tasks
● Different from IT automation because adaptable
● “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
Machine Learning
● Computer to act without programing
● Deep learning: automation of predictive analytics
● Three types:
○ Supervised learning
○ Unsupervised learning
○ Reinforcement learning
● Good read on current unefficiency of ML:
https://techcrunch.com/2017/08/08/the-evolution-of-machine-learni
ng
○ Some “old” AI algorithms are very good and suffice most
applications (“linear/logistic regression, random forests and boosted
decision trees”)
○ Deep Neural Networks is the real (“Getting deep learning to work
is hard “)
Machine Learning
● Supervised learning
○ Sets are labeled → pattern detection → label new data
sets
● Unsupervised learning
○ Unlabelled sets sortes according to = or ≠
● Reinforcement learning
○ Markov decision process - good for processes that
include long-term versus short-term reward trade-off
(agent performs action(s) and is given feedback) -
AlphaGo
Machine Learning
● https://www.engadget.com/amp/2017/08/10/google-and-blizzard-inv
ite-you-to-train-ai-with-starcraft-ii/
Computer Vision
● Analog-to-digital signal processing
● Compares digital processing to database
● YOLO (You Only Look Once) open source real-time
object detection
○ https://pjreddie.com/darknet/yolo/
○ https://www.ted.com/talks/joseph_redmon_how_a_computer_le
arns_to_recognize_objects_instantly/up-next
○ 20ms/image
● Google Image, self-driving cars ...
Natural Language Processing
● Processing of human language by a computer program
● Used very early in spam detection
● Current approach is based on machine learning
○ https://www.technologyreview.com/s/608382/to
-build-a-smarter-chatbot-first-teach-it-a-second-l
anguage/
Deep Neural Networks
● Algorithms designed after human brain
● Recognise patterns
● “Clustering and classification data on top of data you
store and manage”1
● Help group unclassified data
● Classify when given labelled data to train on
● “Deep” ⇔ stacked neural networks (multiple layers,
more than one hidden layer)
○ Layers are made of nodes
1
source: https://deeplearning4j.org/neuralnet-overview#define (date of access 14/08/17))
Deep Neural Networks
● Deeper the net, more complex features can nodes
recognize = feature hierarchy
● Google photos, Salesforce Einstein
● Three steps to neural networks
○ scoring input, calculating loss and applying an update to the model
Starts with linear regression model for binary
output but used logistic regression (sigmoïds,
Hyperbolic tangents)
1
source: https://deeplearning4j.org/neuralnet-overview#define (date of access 14/08/17))
Deep Neural Networks
● 1957: Rosenblatt’s perceptron - 1st artificial neuron
● 1969: Minsky’s doubts
● 1989: LeCun proposes convoluted network
● 1996: Banks start using them for cheque reading
● 2011: Watson wins Jeopardy
● 2012: 15.3% error percentage
● 2016: Uber’s autonomous vehicles in Pittsburgh
● 2017: Alpha Go beats Ke Jie
Source: Science & Vie 07/17
II. Issues
Prediction
● Predictive recommendation
● To simplify:
○ Consider all past events occurred at random
○ Group your data
○ Find a mathematical model that suits best
○ Iterate
Smarter objects
● 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
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
(Chat)bots
● Human agent interaction platform
● Can be included in ready existing chats
● Or embedded in a website
● Most common uses:
○ Personalised customer experience
○ Virtual Buying assistant
○ Included in a CRM
○ News
○ Productivity tools (slack bots)
Chatbots
● A few useful links:
○ Designing a chatbot (no coding)
■ https://chatfuel.com/ or https://botsify.com/ (also
https://meya.ai/ )
○ https://chatbotsmagazine.com/
○ https://botlist.co/
III. Applications
Salesforce - Einstein
● Inbuilt AI module in the Salesforce CRM platform
● Combines and processes data from calendar,
email, social, news to make predictions on the
future
● Figures out competitor and recommends how to
interact with new opportunities
● Writes email
● https://www.salesforce.com/products/einstein/f
eatures/
See live demo
IBM - Deep Blue
● Chess playing computer
● Loses against Kasparov in 1996
● Wins (Deeper Blue) against Kasparov in 1997
● Kasparov’s latest book - Deep Thinking
Google DeepMind - Alpha GO
● Developed by DeepMind Technologies in
2010
● Bought by Google in 2014 (628 M$)
● Beats World Champion Ki Jie
IBM - Watson
● https://www.ibm.com/watson/
● First designed as a Question Answering computing
system
● Designed to play the Jeopardy TV game
● Today applications include:
○ Health: cancer detection
○ Éducation: TJ Bot
○ Recipe generation
○ Concierge
○ Strategy
○ Weather forecast
IBM - Watson
● Salesforce Integration
○ “Integrate IBM Watson APIs into Salesforce to bring
predictive insights from unstructured data inside or
outside an enterprise, together with predictive insights
from customer data delivered by Salesforce Einstein,
enabling smarter, faster decisions across sales, service,
marketing, commerce and more.”
● Hilton hotel Concierge robot
IBM - Watson
● Conversation
○ Conversation
○ Virtual Agent
● Vision
○ Visual Recognition
● Speech
○ Speech to text
○ Text to speech
● Empathy
○ Personality Insights
○ Tone Analyzer
● Discovery
○ NLP
○ Discovery News
○ Knowledge Studio
Document Conversion
● Language
○ Translator
○ Naturall Language Classifier
○ Retrieve and Rank
Google - Photos
● Smart Classification
● Image Processing
But also:
● Picture Enhancing - Street View
○ https://petapixel.com/2017/07/14/google-uses-ai-create-professional
-photos-street-view-shots/
● Image Generation
○ http://www.businessinsider.fr/us/these-trippy-images-show-how-googles-ai-sees-the-world-2015-6
/#the-engineers-found-that-the-ai-tended-to-populate-specific-features-with-the-same-object-for-e
xample-horizons-tended-to-get-filled-with-towers-and-pagodas-androcks-and-trees-turn-into-buildi
ngs-11110
Mobileye
● Not self driving car
● But device that makes any car smarter
● Even equipped a “self-pulling” suitcase
● Bought by Intel for 15.3 B$
Tesla - Autopilot
● Autopilot 2.0 - Level 4 ready
● Sadly famous accident involving white truck on
bright weather
● Towards level 5 with rumors of Autopilot 2.5
https://electrek.co/2017/08/09/tesla-autopilot-
2-5-hardware-computer-autonomous-driving/
Google - Brain
● https://research.google.com/teams/brain/
● Research team that sets its own research
goals
● Vastly focused on “Making machines
intelligent”
OpenAI
● “OpenAI is a non-profit AI research company,
discovering and enacting the path to safe artificial
general intelligence.”
● Recently announced developping an agent capable of
beating world class champions at Dota 2 (e-game)
Google - AI
● https://ai.google/
● Google assistant
● Cloud TPU (tensor processing unit)
● Platform to play with AI
○ https://aiexperiments.withgoogle.com/
○ https://quickdraw.withgoogle.com/
○ https://aiexperiments.withgoogle.com/auto
draw
Tensor Flow
● https://www.tensorflow.org/
● Developed by Google Brain teams
● Open Source ML library
● Helps deploying Neural Networks
MIT Media Lab - Deepmoji
● Understanding emotions with the use of emoji
● Countering e-bullying
● Monitoring social media
● Facebook announced 9000 job opening in social
monitoring early 2017
Other AI research teams
● https://labs.pinterest.com/projects/
● Uber Michelangelo
Appendices
References and useful links
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 5
● https://www.coursera.org/learn/machine-learning
● https://deeplearning4j.org/neuralnet-overview#define
● https://chatbotsmagazine.com/chatbots-the-beginners-guide-
618e72599b55

More Related Content

What's hot

Artificial intelligence - An Overview
Artificial intelligence - An OverviewArtificial intelligence - An Overview
Artificial intelligence - An OverviewGiri Dharan
 
Generative AI: Past, Present, and Future – A Practitioner's Perspective
Generative AI: Past, Present, and Future – A Practitioner's PerspectiveGenerative AI: Past, Present, and Future – A Practitioner's Perspective
Generative AI: Past, Present, and Future – A Practitioner's PerspectiveHuahai Yang
 
Artificial Intelligence
Artificial IntelligenceArtificial Intelligence
Artificial Intelligencefalepiz
 
LIMITATIONS OF AI
LIMITATIONS OF AILIMITATIONS OF AI
LIMITATIONS OF AIAdityaK52
 
AI - Opportunities and Challenges
AI - Opportunities and ChallengesAI - Opportunities and Challenges
AI - Opportunities and ChallengesBert Jan Schrijver
 
AI in Business: Opportunities & Challenges
AI in Business: Opportunities & ChallengesAI in Business: Opportunities & Challenges
AI in Business: Opportunities & ChallengesTathagat Varma
 
Introduction To Artificial Intelligence PowerPoint Presentation Slides
Introduction To Artificial Intelligence PowerPoint Presentation SlidesIntroduction To Artificial Intelligence PowerPoint Presentation Slides
Introduction To Artificial Intelligence PowerPoint Presentation SlidesSlideTeam
 
Introduction to Artificial Intelligence and Machine Learning
Introduction to Artificial Intelligence and Machine Learning Introduction to Artificial Intelligence and Machine Learning
Introduction to Artificial Intelligence and Machine Learning Emad Nabil
 
Prompt Engineering - an Art, a Science, or your next Job Title?
Prompt Engineering - an Art, a Science, or your next Job Title?Prompt Engineering - an Art, a Science, or your next Job Title?
Prompt Engineering - an Art, a Science, or your next Job Title?Maxim Salnikov
 
Technologies Demystified: Artificial Intelligence
Technologies Demystified: Artificial IntelligenceTechnologies Demystified: Artificial Intelligence
Technologies Demystified: Artificial IntelligencePioneers.io
 
Principles of Artificial Intelligence & Machine Learning
Principles of Artificial Intelligence & Machine LearningPrinciples of Artificial Intelligence & Machine Learning
Principles of Artificial Intelligence & Machine LearningJerry Lu
 
Artificial intelligence
Artificial intelligenceArtificial intelligence
Artificial intelligenceA.I. Tazib
 
The 7 Biggest Ethical Challenges of Artificial Intelligence
The 7 Biggest Ethical Challenges of Artificial IntelligenceThe 7 Biggest Ethical Challenges of Artificial Intelligence
The 7 Biggest Ethical Challenges of Artificial IntelligenceBernard Marr
 
Artificial intelligence and its impact on jobs and employment
Artificial intelligence and its impact on jobs and employmentArtificial intelligence and its impact on jobs and employment
Artificial intelligence and its impact on jobs and employmentafp11saurabhj
 
Understanding Artificial intelligence
Understanding Artificial intelligenceUnderstanding Artificial intelligence
Understanding Artificial intelligenceIla Group
 
AI Agent and Chatbot Trends For Enterprises
AI Agent and Chatbot Trends For EnterprisesAI Agent and Chatbot Trends For Enterprises
AI Agent and Chatbot Trends For EnterprisesTeewee Ang
 
Artificial Intelligence | Introduction to AI | What is ai?
Artificial Intelligence | Introduction to AI |  What is ai?Artificial Intelligence | Introduction to AI |  What is ai?
Artificial Intelligence | Introduction to AI | What is ai?SumitKumarShukla2
 
Artificial Intelligence Presentation
Artificial Intelligence PresentationArtificial Intelligence Presentation
Artificial Intelligence PresentationAdarsh Pathak
 

What's hot (20)

Artificial intelligence
Artificial intelligenceArtificial intelligence
Artificial intelligence
 
Artificial intelligence - An Overview
Artificial intelligence - An OverviewArtificial intelligence - An Overview
Artificial intelligence - An Overview
 
Generative AI: Past, Present, and Future – A Practitioner's Perspective
Generative AI: Past, Present, and Future – A Practitioner's PerspectiveGenerative AI: Past, Present, and Future – A Practitioner's Perspective
Generative AI: Past, Present, and Future – A Practitioner's Perspective
 
Artificial Intelligence
Artificial IntelligenceArtificial Intelligence
Artificial Intelligence
 
LIMITATIONS OF AI
LIMITATIONS OF AILIMITATIONS OF AI
LIMITATIONS OF AI
 
AI - Opportunities and Challenges
AI - Opportunities and ChallengesAI - Opportunities and Challenges
AI - Opportunities and Challenges
 
AI in Business: Opportunities & Challenges
AI in Business: Opportunities & ChallengesAI in Business: Opportunities & Challenges
AI in Business: Opportunities & Challenges
 
Introduction To Artificial Intelligence PowerPoint Presentation Slides
Introduction To Artificial Intelligence PowerPoint Presentation SlidesIntroduction To Artificial Intelligence PowerPoint Presentation Slides
Introduction To Artificial Intelligence PowerPoint Presentation Slides
 
Introduction to Artificial Intelligence and Machine Learning
Introduction to Artificial Intelligence and Machine Learning Introduction to Artificial Intelligence and Machine Learning
Introduction to Artificial Intelligence and Machine Learning
 
Prompt Engineering - an Art, a Science, or your next Job Title?
Prompt Engineering - an Art, a Science, or your next Job Title?Prompt Engineering - an Art, a Science, or your next Job Title?
Prompt Engineering - an Art, a Science, or your next Job Title?
 
Technologies Demystified: Artificial Intelligence
Technologies Demystified: Artificial IntelligenceTechnologies Demystified: Artificial Intelligence
Technologies Demystified: Artificial Intelligence
 
Principles of Artificial Intelligence & Machine Learning
Principles of Artificial Intelligence & Machine LearningPrinciples of Artificial Intelligence & Machine Learning
Principles of Artificial Intelligence & Machine Learning
 
Artificial intelligence
Artificial intelligenceArtificial intelligence
Artificial intelligence
 
The 7 Biggest Ethical Challenges of Artificial Intelligence
The 7 Biggest Ethical Challenges of Artificial IntelligenceThe 7 Biggest Ethical Challenges of Artificial Intelligence
The 7 Biggest Ethical Challenges of Artificial Intelligence
 
Artificial intelligence and its impact on jobs and employment
Artificial intelligence and its impact on jobs and employmentArtificial intelligence and its impact on jobs and employment
Artificial intelligence and its impact on jobs and employment
 
Understanding Artificial intelligence
Understanding Artificial intelligenceUnderstanding Artificial intelligence
Understanding Artificial intelligence
 
AI Agent and Chatbot Trends For Enterprises
AI Agent and Chatbot Trends For EnterprisesAI Agent and Chatbot Trends For Enterprises
AI Agent and Chatbot Trends For Enterprises
 
Introduction to AI
Introduction to AIIntroduction to AI
Introduction to AI
 
Artificial Intelligence | Introduction to AI | What is ai?
Artificial Intelligence | Introduction to AI |  What is ai?Artificial Intelligence | Introduction to AI |  What is ai?
Artificial Intelligence | Introduction to AI | What is ai?
 
Artificial Intelligence Presentation
Artificial Intelligence PresentationArtificial Intelligence Presentation
Artificial Intelligence Presentation
 

Similar to Innovation report: Artificial Intelligence

Smart Machines Sep 2014
Smart Machines Sep 2014Smart Machines Sep 2014
Smart Machines Sep 2014Immo Salo
 
Innovation report in a nutshell: Artificial Intelligence
Innovation report in a nutshell: Artificial IntelligenceInnovation report in a nutshell: Artificial Intelligence
Innovation report in a nutshell: Artificial IntelligenceYoussef Rahoui
 
Smart machines - The Hype of 2015
Smart machines - The Hype of 2015Smart machines - The Hype of 2015
Smart machines - The Hype of 2015Immo Salo
 
10 Things Every Entrepreneur Needs to Know About Artificial Intelligence
10 Things Every Entrepreneur Needs to Know About Artificial Intelligence10 Things Every Entrepreneur Needs to Know About Artificial Intelligence
10 Things Every Entrepreneur Needs to Know About Artificial IntelligenceChristopher Mohritz
 
10 Things Every Entrepreneur Needs to Know About Artificial Intelligence
10 Things Every Entrepreneur Needs to Know About Artificial Intelligence10 Things Every Entrepreneur Needs to Know About Artificial Intelligence
10 Things Every Entrepreneur Needs to Know About Artificial Intelligence10x Nation
 
Data Summer Conf 2018, “Architecting IoT system with Machine Learning (ENG)” ...
Data Summer Conf 2018, “Architecting IoT system with Machine Learning (ENG)” ...Data Summer Conf 2018, “Architecting IoT system with Machine Learning (ENG)” ...
Data Summer Conf 2018, “Architecting IoT system with Machine Learning (ENG)” ...Provectus
 
Architecting IoT with Machine Learning
Architecting IoT with Machine LearningArchitecting IoT with Machine Learning
Architecting IoT with Machine LearningRudradeb Mitra
 
Skymind & Deeplearning4j: Deep Learning for the Enterprise
Skymind & Deeplearning4j: Deep Learning for the EnterpriseSkymind & Deeplearning4j: Deep Learning for the Enterprise
Skymind & Deeplearning4j: Deep Learning for the EnterpriseAdam Gibson
 
Smart Machines -presentation, Dec 2014
Smart Machines -presentation, Dec 2014Smart Machines -presentation, Dec 2014
Smart Machines -presentation, Dec 2014Immo Salo
 
Smart machines - The most disruptive change in the history of IT?
Smart machines - The most disruptive change in the history of IT?Smart machines - The most disruptive change in the history of IT?
Smart machines - The most disruptive change in the history of IT?Immo Salo
 
A step towards machine learning at accionlabs
A step towards machine learning at accionlabsA step towards machine learning at accionlabs
A step towards machine learning at accionlabsChetan Khatri
 
Smart machines -presentation, November 2014
Smart machines -presentation, November 2014Smart machines -presentation, November 2014
Smart machines -presentation, November 2014Immo Salo
 
Smart machines, Strategic Technology Trend of 2015
Smart machines, Strategic Technology Trend of 2015Smart machines, Strategic Technology Trend of 2015
Smart machines, Strategic Technology Trend of 2015Immo Salo
 
Smart machines presentation, Oct 2014
Smart machines presentation, Oct 2014Smart machines presentation, Oct 2014
Smart machines presentation, Oct 2014Immo Salo
 
Smart machines - THe Future Is Here
Smart machines - THe Future Is HereSmart machines - THe Future Is Here
Smart machines - THe Future Is HereImmo Salo
 
How Will AI Change the Role of the Data Scientist?
How Will AI Change the Role of the Data Scientist?How Will AI Change the Role of the Data Scientist?
How Will AI Change the Role of the Data Scientist?Hugo Gävert
 
Combining Machine Learning with Physical Computing - June 2023
Combining Machine Learning with Physical Computing - June 2023Combining Machine Learning with Physical Computing - June 2023
Combining Machine Learning with Physical Computing - June 2023Hal Speed
 
Smart Machines Oct 2014
Smart Machines Oct 2014Smart Machines Oct 2014
Smart Machines Oct 2014Immo Salo
 

Similar to Innovation report: Artificial Intelligence (20)

Smart Machines Sep 2014
Smart Machines Sep 2014Smart Machines Sep 2014
Smart Machines Sep 2014
 
Innovation report in a nutshell: Artificial Intelligence
Innovation report in a nutshell: Artificial IntelligenceInnovation report in a nutshell: Artificial Intelligence
Innovation report in a nutshell: Artificial Intelligence
 
IT in 2017
IT in 2017IT in 2017
IT in 2017
 
Smart machines - The Hype of 2015
Smart machines - The Hype of 2015Smart machines - The Hype of 2015
Smart machines - The Hype of 2015
 
10 Things Every Entrepreneur Needs to Know About Artificial Intelligence
10 Things Every Entrepreneur Needs to Know About Artificial Intelligence10 Things Every Entrepreneur Needs to Know About Artificial Intelligence
10 Things Every Entrepreneur Needs to Know About Artificial Intelligence
 
10 Things Every Entrepreneur Needs to Know About Artificial Intelligence
10 Things Every Entrepreneur Needs to Know About Artificial Intelligence10 Things Every Entrepreneur Needs to Know About Artificial Intelligence
10 Things Every Entrepreneur Needs to Know About Artificial Intelligence
 
Data Summer Conf 2018, “Architecting IoT system with Machine Learning (ENG)” ...
Data Summer Conf 2018, “Architecting IoT system with Machine Learning (ENG)” ...Data Summer Conf 2018, “Architecting IoT system with Machine Learning (ENG)” ...
Data Summer Conf 2018, “Architecting IoT system with Machine Learning (ENG)” ...
 
Architecting IoT with Machine Learning
Architecting IoT with Machine LearningArchitecting IoT with Machine Learning
Architecting IoT with Machine Learning
 
Skymind & Deeplearning4j: Deep Learning for the Enterprise
Skymind & Deeplearning4j: Deep Learning for the EnterpriseSkymind & Deeplearning4j: Deep Learning for the Enterprise
Skymind & Deeplearning4j: Deep Learning for the Enterprise
 
Smart Machines -presentation, Dec 2014
Smart Machines -presentation, Dec 2014Smart Machines -presentation, Dec 2014
Smart Machines -presentation, Dec 2014
 
Smart machines - The most disruptive change in the history of IT?
Smart machines - The most disruptive change in the history of IT?Smart machines - The most disruptive change in the history of IT?
Smart machines - The most disruptive change in the history of IT?
 
A step towards machine learning at accionlabs
A step towards machine learning at accionlabsA step towards machine learning at accionlabs
A step towards machine learning at accionlabs
 
Smart machines -presentation, November 2014
Smart machines -presentation, November 2014Smart machines -presentation, November 2014
Smart machines -presentation, November 2014
 
Smart machines, Strategic Technology Trend of 2015
Smart machines, Strategic Technology Trend of 2015Smart machines, Strategic Technology Trend of 2015
Smart machines, Strategic Technology Trend of 2015
 
Smart machines presentation, Oct 2014
Smart machines presentation, Oct 2014Smart machines presentation, Oct 2014
Smart machines presentation, Oct 2014
 
Computer vision
Computer visionComputer vision
Computer vision
 
Smart machines - THe Future Is Here
Smart machines - THe Future Is HereSmart machines - THe Future Is Here
Smart machines - THe Future Is Here
 
How Will AI Change the Role of the Data Scientist?
How Will AI Change the Role of the Data Scientist?How Will AI Change the Role of the Data Scientist?
How Will AI Change the Role of the Data Scientist?
 
Combining Machine Learning with Physical Computing - June 2023
Combining Machine Learning with Physical Computing - June 2023Combining Machine Learning with Physical Computing - June 2023
Combining Machine Learning with Physical Computing - June 2023
 
Smart Machines Oct 2014
Smart Machines Oct 2014Smart Machines Oct 2014
Smart Machines Oct 2014
 

More from Youssef Rahoui

[Madmagz] The Blockchain
[Madmagz] The Blockchain[Madmagz] The Blockchain
[Madmagz] The BlockchainYoussef Rahoui
 
[Madmagz] Blockchain in a nutshell
[Madmagz] Blockchain in a nutshell[Madmagz] Blockchain in a nutshell
[Madmagz] Blockchain in a nutshellYoussef Rahoui
 
Corum group: Paris Presentation
Corum group: Paris PresentationCorum group: Paris Presentation
Corum group: Paris PresentationYoussef Rahoui
 
Corum annual report 2017
Corum annual report 2017Corum annual report 2017
Corum annual report 2017Youssef Rahoui
 
B2B Sales For Startups by @techalamenthe
B2B Sales For Startups by @techalamentheB2B Sales For Startups by @techalamenthe
B2B Sales For Startups by @techalamentheYoussef Rahoui
 
Courrier de L'Atlas n°92 avec Youssef Rahoui, dirigeant de Madmagz et fondate...
Courrier de L'Atlas n°92 avec Youssef Rahoui, dirigeant de Madmagz et fondate...Courrier de L'Atlas n°92 avec Youssef Rahoui, dirigeant de Madmagz et fondate...
Courrier de L'Atlas n°92 avec Youssef Rahoui, dirigeant de Madmagz et fondate...Youssef Rahoui
 
Vendre en B2B : inbound marketing et lead generation pour startups
Vendre en B2B : inbound marketing et lead generation pour startupsVendre en B2B : inbound marketing et lead generation pour startups
Vendre en B2B : inbound marketing et lead generation pour startupsYoussef Rahoui
 
Prez best tips recruiting for SME
Prez best tips recruiting for SMEPrez best tips recruiting for SME
Prez best tips recruiting for SMEYoussef Rahoui
 
Why do people share online?
Why do people share online?Why do people share online?
Why do people share online?Youssef Rahoui
 
Iab internet advertising_revenue_report_2012
Iab internet advertising_revenue_report_2012Iab internet advertising_revenue_report_2012
Iab internet advertising_revenue_report_2012Youssef Rahoui
 
Chiffres cles des_annonceurs_2012
Chiffres cles des_annonceurs_2012Chiffres cles des_annonceurs_2012
Chiffres cles des_annonceurs_2012Youssef Rahoui
 
Du recrutement au contrat de travail
Du recrutement au contrat de travailDu recrutement au contrat de travail
Du recrutement au contrat de travailYoussef Rahoui
 
Le référencement multilingue
Le référencement multilingueLe référencement multilingue
Le référencement multilingueYoussef Rahoui
 
Guide Google de la Rentrée 2012
Guide Google de la Rentrée 2012Guide Google de la Rentrée 2012
Guide Google de la Rentrée 2012Youssef Rahoui
 
Prez Tech à la menthe sur les télécommunications d'entreprise
Prez Tech à la menthe sur les télécommunications d'entreprise Prez Tech à la menthe sur les télécommunications d'entreprise
Prez Tech à la menthe sur les télécommunications d'entreprise Youssef Rahoui
 
Gouvernance & pilotage
Gouvernance & pilotageGouvernance & pilotage
Gouvernance & pilotageYoussef Rahoui
 
The US digital future in focus
The US digital future in focusThe US digital future in focus
The US digital future in focusYoussef Rahoui
 
The Top 100 fastest growing businesses in mena
The Top 100 fastest growing businesses in menaThe Top 100 fastest growing businesses in mena
The Top 100 fastest growing businesses in menaYoussef Rahoui
 
Nouvelles technologies Web
Nouvelles technologies WebNouvelles technologies Web
Nouvelles technologies WebYoussef Rahoui
 

More from Youssef Rahoui (20)

[Madmagz] The Blockchain
[Madmagz] The Blockchain[Madmagz] The Blockchain
[Madmagz] The Blockchain
 
[Madmagz] Blockchain in a nutshell
[Madmagz] Blockchain in a nutshell[Madmagz] Blockchain in a nutshell
[Madmagz] Blockchain in a nutshell
 
Corum group: Paris Presentation
Corum group: Paris PresentationCorum group: Paris Presentation
Corum group: Paris Presentation
 
Corum annual report 2017
Corum annual report 2017Corum annual report 2017
Corum annual report 2017
 
B2B Sales For Startups by @techalamenthe
B2B Sales For Startups by @techalamentheB2B Sales For Startups by @techalamenthe
B2B Sales For Startups by @techalamenthe
 
Courrier de L'Atlas n°92 avec Youssef Rahoui, dirigeant de Madmagz et fondate...
Courrier de L'Atlas n°92 avec Youssef Rahoui, dirigeant de Madmagz et fondate...Courrier de L'Atlas n°92 avec Youssef Rahoui, dirigeant de Madmagz et fondate...
Courrier de L'Atlas n°92 avec Youssef Rahoui, dirigeant de Madmagz et fondate...
 
Vendre en B2B : inbound marketing et lead generation pour startups
Vendre en B2B : inbound marketing et lead generation pour startupsVendre en B2B : inbound marketing et lead generation pour startups
Vendre en B2B : inbound marketing et lead generation pour startups
 
How google works
How google worksHow google works
How google works
 
Prez best tips recruiting for SME
Prez best tips recruiting for SMEPrez best tips recruiting for SME
Prez best tips recruiting for SME
 
Why do people share online?
Why do people share online?Why do people share online?
Why do people share online?
 
Iab internet advertising_revenue_report_2012
Iab internet advertising_revenue_report_2012Iab internet advertising_revenue_report_2012
Iab internet advertising_revenue_report_2012
 
Chiffres cles des_annonceurs_2012
Chiffres cles des_annonceurs_2012Chiffres cles des_annonceurs_2012
Chiffres cles des_annonceurs_2012
 
Du recrutement au contrat de travail
Du recrutement au contrat de travailDu recrutement au contrat de travail
Du recrutement au contrat de travail
 
Le référencement multilingue
Le référencement multilingueLe référencement multilingue
Le référencement multilingue
 
Guide Google de la Rentrée 2012
Guide Google de la Rentrée 2012Guide Google de la Rentrée 2012
Guide Google de la Rentrée 2012
 
Prez Tech à la menthe sur les télécommunications d'entreprise
Prez Tech à la menthe sur les télécommunications d'entreprise Prez Tech à la menthe sur les télécommunications d'entreprise
Prez Tech à la menthe sur les télécommunications d'entreprise
 
Gouvernance & pilotage
Gouvernance & pilotageGouvernance & pilotage
Gouvernance & pilotage
 
The US digital future in focus
The US digital future in focusThe US digital future in focus
The US digital future in focus
 
The Top 100 fastest growing businesses in mena
The Top 100 fastest growing businesses in menaThe Top 100 fastest growing businesses in mena
The Top 100 fastest growing businesses in mena
 
Nouvelles technologies Web
Nouvelles technologies WebNouvelles technologies Web
Nouvelles technologies Web
 

Recently uploaded

Bird eye's view on Camunda open source ecosystem
Bird eye's view on Camunda open source ecosystemBird eye's view on Camunda open source ecosystem
Bird eye's view on Camunda open source ecosystemAsko Soukka
 
Empowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership BlueprintEmpowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership BlueprintMahmoud Rabie
 
VoIP Service and Marketing using Odoo and Asterisk PBX
VoIP Service and Marketing using Odoo and Asterisk PBXVoIP Service and Marketing using Odoo and Asterisk PBX
VoIP Service and Marketing using Odoo and Asterisk PBXTarek Kalaji
 
Secure your environment with UiPath and CyberArk technologies - Session 1
Secure your environment with UiPath and CyberArk technologies - Session 1Secure your environment with UiPath and CyberArk technologies - Session 1
Secure your environment with UiPath and CyberArk technologies - Session 1DianaGray10
 
Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Brian Pichman
 
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...Aggregage
 
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...DianaGray10
 
Computer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and HazardsComputer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and HazardsSeth Reyes
 
How Accurate are Carbon Emissions Projections?
How Accurate are Carbon Emissions Projections?How Accurate are Carbon Emissions Projections?
How Accurate are Carbon Emissions Projections?IES VE
 
9 Steps For Building Winning Founding Team
9 Steps For Building Winning Founding Team9 Steps For Building Winning Founding Team
9 Steps For Building Winning Founding TeamAdam Moalla
 
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationUsing IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationIES VE
 
Artificial Intelligence & SEO Trends for 2024
Artificial Intelligence & SEO Trends for 2024Artificial Intelligence & SEO Trends for 2024
Artificial Intelligence & SEO Trends for 2024D Cloud Solutions
 
Videogame localization & technology_ how to enhance the power of translation.pdf
Videogame localization & technology_ how to enhance the power of translation.pdfVideogame localization & technology_ how to enhance the power of translation.pdf
Videogame localization & technology_ how to enhance the power of translation.pdfinfogdgmi
 
AI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity WebinarAI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity WebinarPrecisely
 
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfJamie (Taka) Wang
 
Introduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptxIntroduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptxMatsuo Lab
 
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsIgniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsSafe Software
 
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfIaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfDaniel Santiago Silva Capera
 

Recently uploaded (20)

Bird eye's view on Camunda open source ecosystem
Bird eye's view on Camunda open source ecosystemBird eye's view on Camunda open source ecosystem
Bird eye's view on Camunda open source ecosystem
 
Empowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership BlueprintEmpowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership Blueprint
 
20150722 - AGV
20150722 - AGV20150722 - AGV
20150722 - AGV
 
201610817 - edge part1
201610817 - edge part1201610817 - edge part1
201610817 - edge part1
 
VoIP Service and Marketing using Odoo and Asterisk PBX
VoIP Service and Marketing using Odoo and Asterisk PBXVoIP Service and Marketing using Odoo and Asterisk PBX
VoIP Service and Marketing using Odoo and Asterisk PBX
 
Secure your environment with UiPath and CyberArk technologies - Session 1
Secure your environment with UiPath and CyberArk technologies - Session 1Secure your environment with UiPath and CyberArk technologies - Session 1
Secure your environment with UiPath and CyberArk technologies - Session 1
 
Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )
 
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...
 
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
 
Computer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and HazardsComputer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and Hazards
 
How Accurate are Carbon Emissions Projections?
How Accurate are Carbon Emissions Projections?How Accurate are Carbon Emissions Projections?
How Accurate are Carbon Emissions Projections?
 
9 Steps For Building Winning Founding Team
9 Steps For Building Winning Founding Team9 Steps For Building Winning Founding Team
9 Steps For Building Winning Founding Team
 
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationUsing IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
 
Artificial Intelligence & SEO Trends for 2024
Artificial Intelligence & SEO Trends for 2024Artificial Intelligence & SEO Trends for 2024
Artificial Intelligence & SEO Trends for 2024
 
Videogame localization & technology_ how to enhance the power of translation.pdf
Videogame localization & technology_ how to enhance the power of translation.pdfVideogame localization & technology_ how to enhance the power of translation.pdf
Videogame localization & technology_ how to enhance the power of translation.pdf
 
AI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity WebinarAI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity Webinar
 
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
 
Introduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptxIntroduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptx
 
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsIgniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
 
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfIaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
 

Innovation report: Artificial Intelligence

  • 4. 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
  • 6. ● “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
  • 7. Definition Thinking humanly Thinking rationally “The exciting new effort to make computers think... machines with minds, in the full and literal sense.” (Haugeland, 1985) “The study of mental faculties through the use of computational models.” (Charniak and McDermott, 1985 Acting humanly Acting rationally “The study of how to make computers do things which, at the moment, people are better.” (Rich and Knight, 1991) “Computational Intelligence is the study of the design of intelligent agents.” (Poole et al., 1998)
  • 8. Definition ● AI is a combination of: ○ Philosophy ○ Mathematics ○ Economics ○ Neuroscience ○ Psychology ○ Computer Engineering ○ Control theory and cybernetics ○ Linguistics
  • 9. Robotic Process Automation (RPA) ● High-Volume repeatable tasks ● Different from IT automation because adaptable ● “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
  • 10. Machine Learning ● Computer to act without programing ● Deep learning: automation of predictive analytics ● Three types: ○ Supervised learning ○ Unsupervised learning ○ Reinforcement learning ● Good read on current unefficiency of ML: https://techcrunch.com/2017/08/08/the-evolution-of-machine-learni ng ○ Some “old” AI algorithms are very good and suffice most applications (“linear/logistic regression, random forests and boosted decision trees”) ○ Deep Neural Networks is the real (“Getting deep learning to work is hard “)
  • 11. Machine Learning ● Supervised learning ○ Sets are labeled → pattern detection → label new data sets ● Unsupervised learning ○ Unlabelled sets sortes according to = or ≠ ● Reinforcement learning ○ Markov decision process - good for processes that include long-term versus short-term reward trade-off (agent performs action(s) and is given feedback) - AlphaGo
  • 13. Computer Vision ● Analog-to-digital signal processing ● Compares digital processing to database ● YOLO (You Only Look Once) open source real-time object detection ○ https://pjreddie.com/darknet/yolo/ ○ https://www.ted.com/talks/joseph_redmon_how_a_computer_le arns_to_recognize_objects_instantly/up-next ○ 20ms/image ● Google Image, self-driving cars ...
  • 14. Natural Language Processing ● Processing of human language by a computer program ● Used very early in spam detection ● Current approach is based on machine learning ○ https://www.technologyreview.com/s/608382/to -build-a-smarter-chatbot-first-teach-it-a-second-l anguage/
  • 15. Deep Neural Networks ● Algorithms designed after human brain ● Recognise patterns ● “Clustering and classification data on top of data you store and manage”1 ● Help group unclassified data ● Classify when given labelled data to train on ● “Deep” ⇔ stacked neural networks (multiple layers, more than one hidden layer) ○ Layers are made of nodes 1 source: https://deeplearning4j.org/neuralnet-overview#define (date of access 14/08/17))
  • 16. Deep Neural Networks ● Deeper the net, more complex features can nodes recognize = feature hierarchy ● Google photos, Salesforce Einstein ● Three steps to neural networks ○ scoring input, calculating loss and applying an update to the model Starts with linear regression model for binary output but used logistic regression (sigmoïds, Hyperbolic tangents) 1 source: https://deeplearning4j.org/neuralnet-overview#define (date of access 14/08/17))
  • 17. Deep Neural Networks ● 1957: Rosenblatt’s perceptron - 1st artificial neuron ● 1969: Minsky’s doubts ● 1989: LeCun proposes convoluted network ● 1996: Banks start using them for cheque reading ● 2011: Watson wins Jeopardy ● 2012: 15.3% error percentage ● 2016: Uber’s autonomous vehicles in Pittsburgh ● 2017: Alpha Go beats Ke Jie Source: Science & Vie 07/17
  • 19. Prediction ● Predictive recommendation ● To simplify: ○ Consider all past events occurred at random ○ Group your data ○ Find a mathematical model that suits best ○ Iterate
  • 20. Smarter objects ● 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
  • 21. 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
  • 22. (Chat)bots ● Human agent interaction platform ● Can be included in ready existing chats ● Or embedded in a website ● Most common uses: ○ Personalised customer experience ○ Virtual Buying assistant ○ Included in a CRM ○ News ○ Productivity tools (slack bots)
  • 23. Chatbots ● A few useful links: ○ Designing a chatbot (no coding) ■ https://chatfuel.com/ or https://botsify.com/ (also https://meya.ai/ ) ○ https://chatbotsmagazine.com/ ○ https://botlist.co/
  • 25. Salesforce - Einstein ● Inbuilt AI module in the Salesforce CRM platform ● Combines and processes data from calendar, email, social, news to make predictions on the future ● Figures out competitor and recommends how to interact with new opportunities ● Writes email ● https://www.salesforce.com/products/einstein/f eatures/ See live demo
  • 26. IBM - Deep Blue ● Chess playing computer ● Loses against Kasparov in 1996 ● Wins (Deeper Blue) against Kasparov in 1997 ● Kasparov’s latest book - Deep Thinking
  • 27. Google DeepMind - Alpha GO ● Developed by DeepMind Technologies in 2010 ● Bought by Google in 2014 (628 M$) ● Beats World Champion Ki Jie
  • 28. IBM - Watson ● https://www.ibm.com/watson/ ● First designed as a Question Answering computing system ● Designed to play the Jeopardy TV game ● Today applications include: ○ Health: cancer detection ○ Éducation: TJ Bot ○ Recipe generation ○ Concierge ○ Strategy ○ Weather forecast
  • 29. IBM - Watson ● Salesforce Integration ○ “Integrate IBM Watson APIs into Salesforce to bring predictive insights from unstructured data inside or outside an enterprise, together with predictive insights from customer data delivered by Salesforce Einstein, enabling smarter, faster decisions across sales, service, marketing, commerce and more.” ● Hilton hotel Concierge robot
  • 30. IBM - Watson ● Conversation ○ Conversation ○ Virtual Agent ● Vision ○ Visual Recognition ● Speech ○ Speech to text ○ Text to speech ● Empathy ○ Personality Insights ○ Tone Analyzer ● Discovery ○ NLP ○ Discovery News ○ Knowledge Studio Document Conversion ● Language ○ Translator ○ Naturall Language Classifier ○ Retrieve and Rank
  • 31. Google - Photos ● Smart Classification ● Image Processing But also: ● Picture Enhancing - Street View ○ https://petapixel.com/2017/07/14/google-uses-ai-create-professional -photos-street-view-shots/ ● Image Generation ○ http://www.businessinsider.fr/us/these-trippy-images-show-how-googles-ai-sees-the-world-2015-6 /#the-engineers-found-that-the-ai-tended-to-populate-specific-features-with-the-same-object-for-e xample-horizons-tended-to-get-filled-with-towers-and-pagodas-androcks-and-trees-turn-into-buildi ngs-11110
  • 32. Mobileye ● Not self driving car ● But device that makes any car smarter ● Even equipped a “self-pulling” suitcase ● Bought by Intel for 15.3 B$
  • 33. Tesla - Autopilot ● Autopilot 2.0 - Level 4 ready ● Sadly famous accident involving white truck on bright weather ● Towards level 5 with rumors of Autopilot 2.5 https://electrek.co/2017/08/09/tesla-autopilot- 2-5-hardware-computer-autonomous-driving/
  • 34. Google - Brain ● https://research.google.com/teams/brain/ ● Research team that sets its own research goals ● Vastly focused on “Making machines intelligent”
  • 35. OpenAI ● “OpenAI is a non-profit AI research company, discovering and enacting the path to safe artificial general intelligence.” ● Recently announced developping an agent capable of beating world class champions at Dota 2 (e-game)
  • 36. Google - AI ● https://ai.google/ ● Google assistant ● Cloud TPU (tensor processing unit) ● Platform to play with AI ○ https://aiexperiments.withgoogle.com/ ○ https://quickdraw.withgoogle.com/ ○ https://aiexperiments.withgoogle.com/auto draw
  • 37. Tensor Flow ● https://www.tensorflow.org/ ● Developed by Google Brain teams ● Open Source ML library ● Helps deploying Neural Networks
  • 38. MIT Media Lab - Deepmoji ● Understanding emotions with the use of emoji ● Countering e-bullying ● Monitoring social media ● Facebook announced 9000 job opening in social monitoring early 2017
  • 39. Other AI research teams ● https://labs.pinterest.com/projects/ ● Uber Michelangelo
  • 42. 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
  • 43. Useful links - Top 5 ● https://www.coursera.org/learn/machine-learning ● https://deeplearning4j.org/neuralnet-overview#define ● https://chatbotsmagazine.com/chatbots-the-beginners-guide- 618e72599b55