Introduction to AI PDF

Introduction to AI Automating Business Processes By: Prof. May El Barachi Introduction to AI Changing the way we do business What is Artificial Intelligence ? “Intelligence is the capacity to “Artificial intelligence involves learn and solve problems, in bui...

Introduction to AI Automating Business Processes By: Prof. May El Barachi Introduction to AI Changing the way we do business What is Artificial Intelligence ? “Intelligence is the capacity to “Artificial intelligence involves learn and solve problems, in building and understanding particular solve novel problems, intelligent entities, or agents” act rationally, and act like humans.” - Webster's dictionary Two main approaches to AI: Engineering Vs. Cognitive modelling 3  4 Digging Deeper What is involved in intelligence ? Interacting with the real world Reasoning and planning Learning and adaptation Perceive, understand, act Modelling the external world Continuous learning and adaptation Speech recognition Solving new problems Internal models being continuously Image understanding Planning and making decisions updated (e.g. a baby learning to Ability to take action Dealing with unexpected categorize & recognize animals) problems, uncertainties AI Sub-fields Artificial Intelligence FIELDS Machine Learning: Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and Comfort for 24/7 improve from experience without being explicitly Machine Learning wearability Natural Language programmed. Machine learning focuses on the development of Processing computer programs that can access data and use it learn for themselves. Natural language processing (NLP): Is a subfield of linguistics, computer science, information engineering, and artificial intelligence concerned with the interactions between computers and human (natural) languages, in particular how to program computers to process and analyse large amounts of natural language data. Artificial Computer vision: Intelligence Sub- Is an interdisciplinary scientific field that deals with how Fields NEXT > computers can be made to gain high-level understanding from Computer Vision digital images or videos. From the perspective of engineering, it seeks to automate tasks that the human visual system can do. 5 Some of AI Application Areas 6 Why is AI Important? Key Benefits of AI 8 AI-powered solutions can help companies gain a competitive advantage by creating better products and services tailored to their customers. AI powered systems can reduce risk of failures or downtime, reduce costs thanks to predictive maintenance, increase operational efficiency, improve safety and compliance, instantly process data, and to get a better understanding of their customers. BUSINESS TIME & COSTS BUSINESS ERROR REDUCTION & AUTOMATION SAVING INSIGHTS BOOST PRODUCTIVITY ENHANCED CUSTOMER GAINING COMPETITIVE EXPERIENCE ADVANTAGE “Artificial Intelligence would be the ultimate version of Google. We’re nowhere near doing that now. However, we can get incrementally closer to that, and that is basically what we work on” - Larry Page CEO, Google, October 2000 “We’ve been building the best AI team and tools for years, and recent breakthroughs will allow us to do even more. We will move from mobile first to an AI first world.” - Larry Page CEO, Alphabet, April 28, 2016 AI in Big Tech Companies AI in Google I/o 2017 Google.ai 1. TensorFlow Google’s Machine learning System May 17,2017 – May 19, 2017 2. 2nd Generation TPU (Tensor Processing Unit) for TensorFlow Research Cloud 3. Machine Learning API Google Cloud Machine Learning Engine Google Cloud Jobs API Google Cloud Vision API Google Cloud Speech API Google Cloud Natural Language API Google Cloud Translation API Google Cloud Video Intelligence API 4. AI in Google’s Products Google Assistant Google Lens Facebook CEO Mark Zuckerberg talks about the company's 10-year road map during @ Facebook’s F8 developers conference in April,2016 Elon Musk's Neuralink will plugAI into yourbrain And it might cure degenerative brain disease along the way. Andrew Dalton, @dolftown 34 9712 f 03.27.17 in Robots Comments Shares Elio n Musk WFollow ] @elonmusl< Long Neurallinlk. piece coming1out on @waitbutwhy iin about a week. l[)ifficult to dedicate the time, but exist,ential rislk. is too hi:gh not to_ 11: 31 AM - 28 Mar 2017 +- t.+ 3,860 13,249 Top 10 Hot AI Technologies The global AI adoption rate is around 35% to 55%. 76% of companies in the US have adopted Gen. AI. The 10 Hottest AI Technologies: 1. Generative AI 2. Natural Language Generation 3. Speech Recognition 4. Virtual Agents 5. Machine Learning Platforms 6. AI-optimized Hardware 7. Decision Management 8. Deep Learning Platforms 9. Biometrics 10. Robotic Process Automation 11. Text Analytics and NLP 100 STARTUPS USING ARTIFICIAL INTELLIGENCE TO TRANSFORM INDUSTRIES CONVERSATIONAL Al/ BOTS VISION AUTO ROBOTICS CVBERSECURITV ;, : ffiindffield !)a Maluuba clarifai Hronocam (2JnuTonomy dr1ve.a1 V U B TE C H l'.>n!ilffl Wilh Robol u C Y L / \N C E · sift science Mobvoi :±jjljii]jii] =--:-:--:-.-= Me11W clara @ Orbital Insight pi l ai f)A \M O T I V E C:(] nauto an-c1. Rokid @(/spar kcognit ion· cb""'="Plnst 1nct A U T O m AT r' aptricity ® d b Shift Technolo gy DARKTRACE...,... GROK STYLE 11exar Z CXJ X BUSINESS INTELLIGENCE & ANALVTICS AD, SALES, CRM Dat aRobot Technology https://www.chinatechnews.com/2016/10/13/24329-no-more-humans-foxconn-deploys-40000-robots-in-china Original from TEDx Manchester: AI & The Future of Work (2017), Volker Hirsch Original from TEDx Manchester: AI & The Future of Work (2017), Volker Hirsch http://www.prachachat.net/news_detail.php?newsid=1462349882  https://www.brandbuffet.in.th/2017/05/thaibev-4-0-using-robot-and-automation-to-upgrade-factories/ Original from TEDx Manchester: AI & The Future of Work (2017), Volker Hirsch  WAREHOUSE LOGISTICS Amazon Automated Warehouse Original from TEDx Manchester: AI & The Future of Work (2017), Volker Hirsch http://www.scmp.com/news/china/society/article/2086662/chinese-firm-cuts-costs-hiring-army-robots-sort-out-200000  POSTMAN Original from TEDx Manchester: AI & The Future of Work (2017), Volker Hirsch Amazon Prime Air  SHIPPING LOGISTICS Original from TEDx Manchester: AI & The Future of Work (2017), Volker Hirsch KALMAR AUTOMATED VEHICLES, PORT OF LOS ANGELES, CALIFORNIA  POLICEMAN Original from TEDx Manchester: AI & The Future of Work (2017), Volker Hirsch BOSTON DYNAMICS WILDCAT  SECURITY GUARD Original from TEDx Manchester: AI & The Future of Work (2017), Volker Hirsch KNIGHTSCOPE K5  SNIPER Original from TEDx Manchester: AI & The Future of Work (2017), Volker Hirsch GENERAL ATOMICS MQ-9 REAPER  BUILDER TEDx Manchester: AI & The Future of Work (2017), Volker Hirsch HADRIAN X  PIZZA DELIVERY GUY Original from TEDx Manchester: AI & The Future of Work (2017), Volker Hirsch FLIRTEY DRONE  PIZZA DELIVERY GUY Original from TEDx Manchester: AI & The Future of Work (2017), Volker Hirsch  CHIEF Original from TEDx Manchester: AI & The Future of Work (2017), Volker Hirsch moley robotic  DRIVER Original from TEDx Manchester: AI & The Future of Work (2017), Volker Hirsch HADRIAN X  LONG-HAUL TRUCKING Original from TEDx Manchester: AI & The Future of Work (2017), Volker Hirsch  MUSICIAN Original from TEDx Manchester: AI & The Future of Work (2017), Volker Hirsch  FARMER Original from TEDx Manchester: AI & The Future of Work (2017), Volker Hirsch Magnum Autonomous Tractor  Care Taker Original from TEDx Manchester: AI & The Future of Work (2017), Volker Hirsch ROBEAR Thank you! AI – Machine Learning & Deep Learning Automating Business Processes By: Prof. May El Barachi Introduction to AI Changing the way we do business What is Artificial Intelligence ? “Intelligence is the capacity to “Artificial intelligence involves learn and solve problems, in building and understanding particular solve novel problems, intelligent entities, or agents” act rationally, and act like humans.” - Webster's dictionary Two main approaches to AI: Engineering Vs. Cognitive modelling 3  4 Digging Deeper What is involved in intelligence ? Interacting with the real world Reasoning and planning Learning and adaptation Perceive, understand, act Modelling the external world Continuous learning and adaptation Speech recognition Solving new problems Internal models being continuously Image understanding Planning and making decisions updated (e.g. a baby learning to Ability to take action Dealing with unexpected categorize & recognize animals) problems, uncertainties AI Sub-fields Artificial Intelligence FIELDS Machine Learning: Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and Comfort for 24/7 improve from experience without being explicitly Machine Learning wearability Natural Language programmed. Machine learning focuses on the development of Processing computer programs that can access data and use it learn for themselves. Natural language processing (NLP): Is a subfield of linguistics, computer science, information engineering, and artificial intelligence concerned with the interactions between computers and human (natural) languages, in particular how to program computers to process and analyse large amounts of natural language data. Artificial Computer vision: Intelligence Sub- Is an interdisciplinary scientific field that deals with how Fields NEXT > computers can be made to gain high-level understanding from Computer Vision digital images or videos. From the perspective of engineering, it seeks to automate tasks that the human visual system can do. 5 Some of AI Application Areas 6 Why is AI Important? Key Benefits of AI 8 AI-powered solutions can help companies gain a competitive advantage by creating better products and services tailored to their customers. AI powered systems can reduce risk of failures or downtime, reduce costs thanks to predictive maintenance, increase operational efficiency, improve safety and compliance, instantly process data, and to get a better understanding of their customers. BU S INESS T I ME & C OSTS BU S I NE S S E RROR RE D UCTION & A U TOMATION S A VING I NS I G H T S BO OST PRO DUCTIVITY E NHANCED C U STOMER G A I NI NG C O M PE T I TI VE E X PERIENCE A D V A NT A GE Machine Learning & Deep Learning AI Vs. Machine Learning Vs. Deep Learning 10 11 12 How do machines learn? 13 How do machines learn? 14 How do machines learn? 15 How do machines learn? 16 How do machines learn? 17 Teaching a chicken using reinforcement learning !! 18 Classical Machine Learning 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 Neural Networks & Deep Learning 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 Neural Network In action AI – Natural Language Process & Computer Vision By: Prof. May El Barachi AI Sub-fields Artificial Intelligence FIELDS Machine Learning: Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and Comfort for 24/7 improve from experience without being explicitly Machine Learning wearability Natural Language programmed. Machine learning focuses on the development of Processing computer programs that can access data and use it learn for themselves. Natural language processing (NLP): Is a subfield of linguistics, computer science, information engineering, and artificial intelligence concerned with the interactions between computers and human (natural) languages, in particular how to program computers to process and analyse large amounts of natural language data. Artificial Computer vision: Intelligence Sub- Is an interdisciplinary scientific field that deals with how Fields NEXT > computers can be made to gain high-level understanding from Computer Vision digital images or videos. From the perspective of engineering, it seeks to automate tasks that the human visual system can do. 2 Introduction to NLP The Debater Project 4 The Debater Project 5  6 Debate Steps  7 Debate Steps  8 Debate Steps What do cognitive systems do? 9 1 0  1 NLP Sentence segmentation and tokens 1  1 NLP Sentence segmentation and tokens 2  1 NLP Sentence segmentation and tokens 3  1 NLP Sentence segmentation and tokens 4  1 NLP Sentence segmentation and tokens 5  1 NLP Sentence segmentation and tokens 6  1 NLP Sentence segmentation and tokens 7  1 NLP Sentence segmentation and tokens 8  1 NLP Sentence segmentation and tokens 9  2 Emotion & Sentiment Analysis 0  2 Emotion & Sentiment Analysis 1 Can you think of some interesting applications where we could use emotion and sentiment analysis related information?  2 Classifying meanings 2 The same word can mean different things, depending on the context !  2 Classifying meanings 3  2 Classifying meanings 4  2 Chatbots as an application of NLP 5 Chatbots use NLP to interact with humans  2 Chatbots as an application of NLP 6 Traditional chatbots only know about a limited number of topics.  2 Chatbots as an application of NLP 7  2 Chatbots as an application of NLP 8 The backend logic runs on a server. A server is a powerful machine that runs 24/7. Servers are typically hosted in data centres.  2 Chatbots as an application of NLP 9  3 Chatbots as an application of NLP 0  3 Chatbots as an application of NLP 1  3 Chatbots as an application of NLP 2  3 Chatbots as an application of NLP 3  3 Chatbots as an application of NLP 4  3 Chatbots as an application of NLP 5 Introduction to Computer Vision  3 How does AI classify images? 7  3 How Do convolutional neural networks (CNNs) work? 8  3 How can AI models generate new images? 9  4 How Do GANs work? 0  4 Computer Vision Applications 1  4 Computer Vision Applications 2  4 Some key points to remember: 3  4 Some key points to remember: 4  4 Some key points to remember: 5 Thank you !