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Introduction to Artificial Intelligence
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- 2. • Meaning ofIntelligence • Meaning of Artificial Intelligence • Ad. & Disad. of Artificial Intelligence • Goals • Programming • Terms related to AI OBJECTIVES
- 3. GET SET GO!!!!! Write the name of any five Applications ,softwares or devices that can understand human speech.
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- 5. Intelligence • The abilityto solve problems • The ability to adapt and learn from daily experiences. • Having characteristics such as creativity and interpersonal skills • The mental ability that enables one to adapt according to the environment.
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- 7. Linguistic Intelligence • Thisis the ability to think and use correct and appropriate words while talking and writing
- 8. Mathematical Intelligence • Thisis the ability to carry out mathematical operations • It also includes an understanding of objects and symbols used in mathematics
- 9. Interpersonal Intelligence • Thisincludes the ability to understand and effectively interact with others. • Ability to notice and make distinction among moods, temperaments, motivations and intentions of other people and the potential to act on this knowledge.
- 10. Intrapersonal Intelligence • Theability to understand oneself. • Ability to identify what you want and don’t want, • Ability to accept your strengths and weaknesses
- 11. Musical Intelligence • Itincludes sensitivity and understanding of pitch, melody, melody, rhythm and tone. • It also includes the understanding of tones and phrases of music in the surrounding
- 12. Visual-Spatial Intelligence • Thisis the ability to think 3-dimentionally • It is the capacity to view the visual world accurately
- 13. Naturalistic Intelligence • Itis the ability to observe patterns in nature • Understand natural and human made systems.
- 14. Bodily-Kinesthetic Intelligence • Abilityto manipulate objects and be physically adept. • Using one’s body in highly skilled ways for specific purposes
- 15. Knowledge • It isa collection of information and skills a person acquires through experience • Intelligence is the ability to apply knowledge • Its values may change over time. It is developed though a learning process. • It is beneficial only if it is applied.
- 16. Knowledge vs Intelligence •Knowledge is contextual . It depends on the circumstances of the individual. • It is a collection of information and skills a person acquires through experience • It is developed through Learning Process • Intelligence is a cognitive skill. Cognitive skills are core skills your brain uses to think , read and learn. • It is the ability to apply acquired knowledge. • It is inborn personal quality
- 17. Computational Thinking 1. Decomposition: Breaking down a complex problem into small and manageable parts is called Decomposition. 2. Pattern Recognition : Searching for patterns and sequences in data is called Pattern Recognition. 3. Abstraction : Ignoring the irrelevant details and focussing on the important aspects of the problem is called Abstraction. 4. Algorithms : A step-by-step process to solve a problem is called Algorithm
- 18. Benefits of ComputationalThinking • To use most suitable computing tools and techniques to help solve a problem or situation • To apply computing strategies such as ‘Divide and Conquer’ to any situation • To apply or adapt a computing tool or technique for a new use.
- 19. Artificial Intelligence • ArtificialIntelligence (AI) is a technology that makes a machine act like a human but with higher level of intelligence. • It can imitate the capabilities of sense and comprehension. • AI refers to the ability of machines to perform tasks such as thinking, learning, decision making and problem-solving.
- 20. History of ArtificialIntelligence • The term Artificial Intelligence was first coined by John McCarthy (who is also known as Father of AI) in 1956. • According to him AI is a technology that gives a code/machine/software the ability to make decision • Alan Turing worked on AI much before McCarthy but the field was not defined back then.
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- 22. Advantages of ArtificialIntelligence • Accuracy • Speed • Reliability • Reduce Cost • Risky Areas • All-Time Available
- 23. Disadvantages of ArtificialIntelligence • High Cost • Cannot think out of the box • No feelings and emotions • Unemployment • Increased dependency of Humans on machines • No originality or creativity
- 24. Trivia • Do youthink AI in machines can replace humans? Write your thoughts in favor or against. • What is the difference between Human Intelligence and Artificial Intelligence.
- 25. Goals of ArtificialIntelligence • Reasoning • Problem Solving • Knowledge Representation • Learning • Natural Language Processing • Perception • Social and General Intelligence
- 26. Goals of ArtificialIntelligence • Reasoning The ability of a system to logically process information of a system and draw conclusions based on that information. Ex : Using rules, logic and algorithm analyze new information from existing data
- 27. Goals of ArtificialIntelligence • Problem Solving It involves developing algorithms and techniques that enable computers to find solutions to complex problems. Ex : AI uses various approaches such as search algorithms, optimization methods and machine learning to tackle different types of problems
- 28. Goals of ArtificialIntelligence • Knowledge Representation It is the process of capturing and organising knowledge in a way that computers can understand and use This allows AI systems to reason, learn and make informed decisions based on the available knowledge.
- 29. Goals of ArtificialIntelligence • Learning It is the ability of systems to acquire knowledge and improve their performance based on experience or data. AI systems employ machine learning algorithms to automatically learn patterns and relationships from large datasets
- 30. Goals of ArtificialIntelligence • Natural Language Processing NLP is a field of AI that focusses on enabling computers to understand, interpret and generate human language. NLP involves speech recognition, sentiment analysis, Machine translation and text generation.
- 31. Goals of ArtificialIntelligence • Perception Perception in AI refers to ability of machines to sense and interpret the environment through various sensors and databases. This includes computer vision, speech recognition, sensor fusion, and other techniques that enable machines to perceive and understand the physical world
- 32. Goals of ArtificialIntelligence • Social Intelligence Social Intelligence in AI involves developing systems that can understand and interact with humans in social contexts. With Social Intelligence we can create chatbots and virtual assistants like ChatGPT.
- 33. Goals of ArtificialIntelligence • General Intelligence The ability of AI to exhibit human-like intelligence across a wide range of tasks and domains. It is the capability to understand, learn, reason and solve problems like humans.
- 34. Programming with orwithout AI • A set of instructions that tells a computer how to perform a task is programming • The languages which are used for programming and contain English like words is called High-Level Language • The languages which are easily understood by the computer are called Low-Level Languages
- 36. What Contributes toArtificial Intelligence? • AI is a combination of many disciplines of Science, Biology, Mathematics, Psychology, Sociology, Neurology, and other fields in Engineering. • Good Programming Skills in Python, Java, Spark and also Big Data Technologies.
- 37. Terms Related toArtificial Intelligence • Automation When a repetitive task that is rule-based is automated by software, it is called automation It can be called Robotic Process Automation (RPA)
- 38. Terms Related toArtificial Intelligence • Machine Learning In Machine Learning, programming is minimized so that the machine learns from experience and actions as a human does. This is a science of getting a computer to act without programming.
- 39. Terms Related toArtificial Intelligence • Machine Vision This technology gives eyes to the machine. The machine captures visual information through camera. Signature identification and medical analysis are a few applications of this technology
- 40. Terms Related toArtificial Intelligence • Data Science Data Science uses vast amount of data for deriving information from it, making decisions and finding patterns Data Science collects, analyses and learns from this data to help perform decision making.
- 41. Terms Related toArtificial Intelligence • Robotics The field of engineering that focuses on the design and manufacturing of robots is called robotics. Robots are used in the assembly line of car manufacturing.
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