Introduction to artificial intelligence (webinar -1)

Introduction to artificial intelligence (webinar -1)

This is the first webinar organised by our Instagram page in the quarantine time to help people learn new technology.

In this webinar, I gave a broad introduction to what is Artificial intelligence & its applications in multiple domains and also a quick introduction to what is Machine learning.

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uday kiran

March 26, 2020
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Transcript

  1. Introduction to Artificial intelligence @LEARN.MACHINELEARNING -UDAY

  2. History of AI 1. In 1950, English mathematician Alan turing

    wrote a landmark paper titled "Computing Machinery and Intelligence" that asked the question "can machines think?" 2. A few years later in 1956 it was John McCarthy who coined the term officially, at the famous Dartmouth Workshop , with the following phrase: “every aspect of learning or any other characteristic of intelligence can, in principle, be described with such precision that a machine can be made to simulate it. We will try to discover how to make machines use language, from abstractions and concepts, solve problems now reserved for humans, and improve themselves”. @LEARN.MACHINELEARNING
  3. What is AI •There is no perfect definition yet. •Almost

    all definitions say the same thing (Artificial Intelligence are machines or computer programs that learn to perform tasks that require types of intelligence and that are usually performed by humans). •What is Intelligence? @LEARN.MACHINELEARNING
  4. 3 different types of AI. Artificial Narrow Intelligent —: Also

    know as Weak AI which involve machine to performs only narrowly defined set of specific task. e.g. Lexa, Siri or Self Driving car. Artificial General Intelligent —: Also know as Strong AI which involve machine to think and make decision just like humans. Artificial Super Intelligent —: which involve machine will surpass human being. @LEARN.MACHINELEARNING
  5. Categories of AI Reactive Machines: It doesn’t have past memory

    and cannot use past information to information for the future actions. (IBM Deep Blue) Limited Memory: That make informed or improved decision base on past data from its memory. (Self Driving Cars) Theory of Mind: This type of AI should be able to understand people’s emotion, belief, thoughts, expectations and be able to interact socially. Self-Awareness: An AI that has it’s own conscious, super intelligent, self-awareness and sentient (In simple words a complete human being). @LEARN.MACHINELEARNING
  6. Applications of AI AI In Business AI In Agriculture AI

    In HealthCare AI In Gaming AI In Education AI In Autonomous Vehicles AI In Social media AI in Cyber security Any Many more @LEARN.MACHINELEARNING
  7. AI in Agriculture AGRICULTURAL ROBOTS ANALYZING FARM DATA TACKLING THE

    LABOR CHALLENGE CROP AND SOIL MONITORING PEST AND WEED CONTROL YIELD BOOSTING ALGORITHMS PERSONAL ASSISTANT FOR FARMER MANY MORE @LEARN.MACHINELEARNING
  8. AI in Banking and Finance ALGORITHMIC TRADING USING AI CHATBOTS

    FRAUD DETECTION CUSTOMER RECOMMENDATIONS AUTOMATED CREDIT SCORING AND LOAD PROCESS RISK MANAGEMENT MANY MORE @LEARN.MACHINELEARNING
  9. AI in Healthcare DRUG DISCOVERY VIRTUAL NURSES AND DOCTORS REMOTE

    MONITORING OF PATIENTS ROBOTIC SURGERY PERSONALIZED TREATMENT CLINICAL TRAIN RESEARCH IMPROVED RADIOTHERAPY MANY MORE @LEARN.MACHINELEARNING
  10. AI in Gaming GENERATION FOR CHARACTERS CREATING MAPS, LEVELS ENHANCING

    GAMING EXPERIENCE PREDICT HUMAN PLAYERS BEHAVIORS FRAUD DETECTION MUCH MORE @LEARN.MACHINELEARNING
  11. AI in Education ADDITIONAL SUPPORT FROM AI TUTORS SMART CONTENT

    VIRTUAL FACILITATORS AND LEARNING ENVIRONMENTS SIMPLIFYING ADMINISTRATIVE TASKS LIKE GRADING PERSONALIZED LEARNING PREDICTING CAREER PATH FEEDBACK @LEARN.MACHINELEARNING
  12. AI in Automotive industry Driving features Self-driving cars Cloud services

    using AI Automotive Insurance Car manufacturing Driver Monitoring @LEARN.MACHINELEARNING
  13. AI in Cybersecurity NETWORK INTRUSION DETECTION AND PREVENTION FRAUD DETECTION

    BOTNET DETECTION HACKING INCIDENT FORECASTING AND LIVE DETECTION SPAM FILTERING AI FOR DETECTING VULNERABILITIES IN SOFTWARE PRIVACY PROTECTION @LEARN.MACHINELEARNING
  14. Future applications of AI COMPLETELY AUTOMATED TRANSPORTATION HUMANS AUGMENT THEMSELVES

    WITH ROBOTS SMART CITIES HOME ROBOTS TO HELP ELDERLY PEOPLE AUTOMATING HAZARDOUS JOBS MANY MORE ADVANCEMENTS IN THE ABOVE- MENTIONED APPLICATION S @LEARN.MACHINELEARNING
  15. Achieving AI We can achieve AI in many ways. But

    me mostly focus on Machine learning in this workshop @LEARN.MACHINELEARNING