Artificial Intelligence dr rahul kumar dangi.pptx
Artificial Intelligence dr rahul kumar dangi.pptx
Artificial Intelligence By Dr. Rahul Kumar Dangi Who is the father of AI? John McCarthy By Dr. Rahul Kumar Dangi What is artificial intelligence with examples? Machines today can learn from experience, adapt to new inputs, and even perform human-like tasks with help from artificial intelligence (AI). Artificial intelligence examples today, from chess-playing computers to self-driving cars, are heavily based on deep learning and natural language processing. History of AI What are 4 types of AI? Reactive AI. Reactive AI algorithms operate only on present data and have limited capabilities. ... Limited memory machines. Limited memory-based AI can store data from past experiences temporarily. ... Theory of mind. ... Self-aware AI Types of AI Expert System An expert system has five basic components: knowledge base, inference engine, explanation component, user interface, and acquisition component. In artificial intelligence, an expert system is a computer system emulating the decision-making ability of a human expert. Expert systems are designed to solve complex problems by reasoning through bodies of knowledge, represented mainly as if–then rules rather than through conventional procedural code. What is natural language processing It helps machines process and understand the human language so that they can automatically perform repetitive tasks. Examples include machine translation, summarization, ticket classification, and spell check. An example of NLP in action is search engine functionality. Search engines leverage NLP to suggest relevant results based on previous search history behavior and user intent. Natural language processing (NLP) refers to the branch of computer science—and more specifically, the branch of artificial intelligence or AI—concerned with giving computers the ability to understand text and spoken words in much the same way human beings can Speech recognition Speech recognition in AI works by converting spoken words into digital signals that can be analyzed and interpreted by machines. This process involves several steps, including signal processing, feature extraction, acoustic modeling, language modeling, and decoding. Computer vision Computer vision can automate several tasks without the need for human intervention. As a result, it provides organizations with a number of benefits: Faster and simpler process - Computer vision systems can carry out repetitive and monotonous tasks at a faster rate, which simplifies the work for humans. Computer vision, a type of artificial intelligence, enables computers to interpret and analyze the visual world, simulating the way humans see and understand their environment. It applies machine learning models to identify and classify objects in digital images and videos, then lets computers react to what they see. Robotics Robotics is a branch of AI, which is composed of Electrical Engineering, Mechanical Engineering, and Computer Science for designing, construction, and application of
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Artificial Intelligence dr rahul kumar dangi.pptx
- 2. Jens Martensson Who is the father of AI? John McCarthy ByDr.RahulKumarDangi 2
- 3. Jens Martensson What is artificial intelligence with examples? • Machines today can learn from experience, adapt to new inputs, and even perform human-like tasks with help from artificial intelligence (AI). Artificial intelligence examples today, from chess-playing computers to self-driving cars, are heavily based on deep learning and natural language processing. 3
- 5. Jens Martensson What are 4 types of AI? • Reactive AI. Reactive AI algorithms operate only on present data and have limited capabilities. ... • Limited memory machines. Limited memory-based AI can store data from past experiences temporarily. ... • Theory of mind. ... • Self-aware AI 5
- 6. Jens Martensson 6 Types of AI
- 7. Jens Martensson Expert System In artificial intelligence, an expert system is a computer system emulating the decision-making ability of a human expert. Expert systems are designed to solve complex problems by reasoning through bodies of knowledge, represented mainly as if–then rules rather than through conventional procedural code. 1 2 3 4 5 6 7 • An expert system has five basic components: knowledge base, inference engine, explanation component, user interface, and acquisition component.
- 8. Jens Martensson What is natural language processing Natural language processing (NLP) refers to the branch of computer science—and more specifically, the branch of artificial intelligence or AI—concerned with giving computers the ability to understand text and spoken words in much the same way human beings can • It helps machines process and understand the human language so that they can automatically perform repetitive tasks. Examples include machine translation, summarization, ticket classification, and spell check. • An example of NLP in action is search engine functionality. Search engines leverage NLP to suggest relevant results based on previous search history behavior and user intent. 8
- 9. Speech recognition Speech recognition in AI works by converting spoken words into digital signals that can be analyzed and interpreted by machines. This process involves several steps, including signal processing, feature extraction, acoustic modeling, language modeling, and decoding.
- 10. Jens Martensson Computer vision Computer vision, a type of artificial intelligence, enables computers to interpret and analyze the visual world, simulating the way humans see and understand their environment. It applies machine learning models to identify and classify objects in digital images and videos, then lets computers react to what they see. • Computer vision can automate several tasks without the need for human intervention. As a result, it provides organizations with a number of benefits: Faster and simpler process - Computer vision systems can carry out repetitive and monotonous tasks at a faster rate, which simplifies the work for humans. 10
- 11. Robotic s Robotics is a branch ofAI, which is composed of Electrical Engineering, Mechanical Engineering, and Computer Science for designing, construction, and application of robots.
- 12. Jens Martensson 12 COMPONENTS OF ROBOT
- 13. Dr. Rahul Kumar Dangi dangi143dangi@gmail.com