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Aritificial intelligence

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Aritificial intelligence

  1. 1. ARTIFICIAL INTELLIGENCE BCA204A62 Dr.G.Jasmine Beulah Dept. Computer Science, Kristu Jayanti College,Bengaluru.
  2. 2. What is Intelligence (1) the ability to learn or understand or to deal with new or trying situations : reason also : the skilled use of reason. (2) the ability to apply knowledge to manipulate one's environment or to think abstractly as measured by objective criteria (such as tests) What is artificial intelligence Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing (NLP), speech recognition and machine vision.
  3. 3. Define Artificial intelligence "It is a branch of computer science by which we can create intelligent machines which can behave like a human, think like humans, and able to make decisions”. Artificial Intelligence exists when a machine can have human based skills such as learning, reasoning, and solving problems With Artificial Intelligence you do not need to preprogram a machine to do some work, despite that you can create a machine with programmed algorithms which can work with own intelligence.
  4. 4. Why Artificial Intelligence?  With the help of AI, you can create such software or devices which can solve real-world problems very easily and with accuracy such as health issues, marketing, traffic issues, etc.  you can create your personal virtual Assistant, such as Cortana, Google Assistant, Siri, etc.  With the help of AI, you can build such Robots which can work in an environment where survival of humans can be at risk.  AI opens a path for other new technologies, new devices, and new Opportunities.
  5. 5.  AI programming focuses on three cognitive skills: learning, reasoning and self-correction.  Learning processes. This aspect of AI programming focuses on acquiring data and creating rules for how to turn the data into actionable information. The rules, which are called algorithms, provide computing devices with step-by- step instructions for how to complete a specific task.  Reasoning processes. This aspect of AI programming focuses on choosing the right algorithm to reach a desired outcome.  Self-correction processes. This aspect of AI programming is designed to continually fine-tune algorithms and ensure they provide the most accurate results possible.
  6. 6. How does Artificial Intelligence work? Computers are good at following processes, i.e., sequences of steps to execute a task. If we give a computer steps to execute a task, it should easily be able to complete it. The steps are nothing but algorithms. An algorithm can be as simple as printing two numbers or as difficult as predicting who will win elections in the coming year!
  7. 7.  Let’s take an example of predicting the weather forecast for 2020.  First of all, what we need is a lot of data! Let’s take the data from 2006 to 2019.  Now, we will divide this data in an 80:20 ratio. 80 percent of the data is going to be our labeled data, and the rest 20 percent will be our test data. Thus, we have the output for the entire 100 percent of the data that has been acquired from 2006 to 2019.  What happens once we collect the data? We will feed the labeled data, i.e., 80 percent of train data, into the machine. Here, the algorithm is learning from the data which has been fed into it.  Next, we need to test the algorithm. Here, we feed the test data, i.e., the remaining 20 percent of the data, to the machine. The machine gives us the output. Now, we cross verify the output given by the machine with the actual output of the data and check for its accuracy. While checking for accuracy if we are not satisfied with the model, we tweak the algorithm to give us the precise output or at least somewhere close to the actual output. Once we are satisfied with the model, we then feed the data to the model so that it can predict the weather forecast for the year 2020.
  8. 8. Goals of Artificial Intelligence • To Create Expert Systems − The systems which exhibit intelligent behavior, learn, demonstrate, explain, and advice its users. • To Implement Human Intelligence in Machines − Creating systems that understand, think, learn, and behave like humans.  Building a machine which can perform tasks that requires human intelligence such as: Proving a theorem Playing chess Plan some surgical operation Driving a car in traffic
  9. 9.  In early days Artificial intelligence was used to develop reasoning and problem-solving skills.  With Artificial intelligence knowledge representation has become easy. Knowledge representation is representing information that machine or computer can understand.  Artificial planning helps agents sequence of actions to perform to achieve goals.  Artificial intelligence main goal is develop intelligent machines that could learn on their own. No more human intervention for feeding data to machines.  With artificial intelligence one can develop machines that can read and understand human languages are known as Natural learning processing.
  10. 10.  Artificial Intelligence helps to develop that could act on sensors (take input from sensors) and react accordingly.  Robotics has transformed thanks to artificial intelligence, that help robots acquire intelligence and perform task smartly.  Develop systems that can recognize, interpret, process and simulate human effects. All these can be achieved when intelligent systems can predict their motive and emotions. Quality of interpreting human affect could help in better decision making
  11. 11. Term coined by John McCarthy, 1956 Definition: “Developing Computer programs to solve complex problems by applications of processes that are analogous to human reasoning processes”. Has two parts 1. Computer solutions for complex problems can be done by conventional programs 2. Process that is analogous to human reasoning processes can be done by AI programs
  12. 12. AI Program Conventional Program Symbolic process Numeric process Heuristic search, steps are implicitly defined Steps are explicitly defined as Algorithms Control structure separate from domain knowledge Information and control are integrated together Incorrect answers are tolerable Correct answers are required Satisfactory answers are acceptable Best possible answers are expected Difference between AI program and Conventional program
  13. 13. What is Artificial Intelligence ? Systems that act rationally Systems that think like humans Systems that think rationally Systems that act like humans THOUGHT BEHAVIOUR HUMAN RATIONAL
  14. 14. Acts Like Human – Turing Test
  15. 15. Thinks like Human – human like patterns of thinking steps Sophia is a social humanoid robot developed by Hong Kong based company Hanson Robotics. Sophia was activated on February 14, 2016, and made her first public appearance at South by Southwest Festival (SXSW) in mid-March 2016 in Austin, Texas, United States. She is able to display more than 50 facial expressions. Robot Sophia was given Saudia citizenship in 2017 'Sophia' the robot tells UN_ 'I am here to help humanity create the future' - YouTube (720p).mp4
  16. 16. Acts or think rationally (logically or Correctly)  Thinking rationally — the use of logic. Need to worry about modeling uncertainty and dealing with complexity.  Acting rationally — the study of rational agents: agents that maximize the expected value of their performance measure given what they currently know.
  17. 17. Advantages Sophia can be used for health care sectors Sophia can solve CBI and FBI cases very easily Sophia can be a good friend to those children and adults who feel lonely. She can be a good teacher in villages and city colleges. She can be a business robot. As she has artificial intelligence she can generates for million of years Disadvantages People worry that they will replace jobs. If they take over middle class citizens jobs our economy will be negatively affected. It makes people to become lazy.
  18. 18. Best 10 examples of AI in day to day life 1. Open Your Phone With Face ID- uses neural engine and face recognition 2. Email -Google gave us a smarter inbox, categorizing all the emails on its own, into folders such as Primary, Social, Promotions, Updates and more. 3. Entertainment and Social Apps-identifying friends from photos, newsfeed personalization. ,Netflix - recommendations Google Navigation- Maps uses Machine Learning 4. Banking & Finance- AI & ML provides security features (Fraud preventions E-payments, Mobile Banking) 5. Google predictive search algorithms-Google Auto complete forms- RankBrain is the algorithm name 6. E-commerce – pattern matching , product recommendations 7. Mobile use- Speech recognition with Natural Language Processing (voice to text, chatbot) 8. Video games-AI controlled Non-playable characters (NPC), ML for BGM 9. Smart Personal Assistant- Google Assistant , Alexa, SIRI (Online shopping, Controlling lights and other internet-enabled equipment ,Setting reminders and alarms , Booking cabs, flights and trains, Playing music and videos )
  19. 19.  Advantages of Artificial Intelligence  Following are some main advantages of Artificial Intelligence: • High Accuracy with less errors: AI machines or systems are prone to less errors and high accuracy as it takes decisions as per pre- experience or information. • High-Speed: AI systems can be of very high-speed and fast-decision making, because of that AI systems can beat a chess champion in the Chess game. • High reliability: AI machines are highly reliable and can perform the same action multiple times with high accuracy. • Useful for risky areas: AI machines can be helpful in situations such as defusing a bomb, exploring the ocean floor, where to employ a human can be risky. • Digital Assistant: AI can be very useful to provide digital assistant to the users such as AI technology is currently used by various E- commerce websites to show the products as per customer requirement. • Useful as a public utility: AI can be very useful for public utilities such as a self-driving car which can make our journey safer and hassle-free, facial recognition for security purpose, Natural language processing to communicate with the human in human-language, etc.
  20. 20.  Disadvantages of Artificial Intelligence  Every technology has some disadvantages, and the same goes for Artificial intelligence. Being so advantageous technology still, it has some disadvantages which we need to keep in our mind while creating an AI system. Following are the disadvantages of AI: • High Cost: The hardware and software requirement of AI is very costly as it requires lots of maintenance to meet current world requirements. • Can't think out of the box: Even we are making smarter machines with AI, but still they cannot work out of the box, as the robot will only do that work for which they are trained, or programmed. • No feelings and emotions: AI machines can be an outstanding performer, but still it does not have the feeling so it cannot make any kind of emotional attachment with human, and may sometime be harmful for users if the proper care is not taken. • Increase dependency on machines: With the increment of technology, people are getting more dependent on devices and hence they are losing their mental capabilities. • No Original Creativity: As humans are so creative and can imagine some new ideas but still AI machines cannot beat this power of human intelligence and cannot be creative and imaginative. 
  21. 21. Thank you

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