Artificial intelligence powerpoint presentation
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The document discusses artificial intelligence, including its history from early computers in the 1940s to modern applications. It covers why AI is useful for tasks like quality control that humans struggle with, and how AI is applied in expert systems, natural language processing, speech recognition, computer vision, and robotics. The document also briefly mentions some advantages of AI like reduced errors and improved efficiency, as well as disadvantages such as high costs and potential unemployment.
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Artificial intelligence powerpoint presentation
- 2. CONTENTS Introduction History of Artificial Intelligence Why AI Limitations of Human Mind Applications Advantages Disadvantages
- 3. INTRODUCTION Artificial Intelligence is a branch of science which deals with helping machines finds solutions to complex problems in a more human-like fashion. This generally involves borrowing characteristics rom human intelligence, and applying them as algorithms in a computer friendly way.
- 4. HISTORY OF AI 1941: First electronic computer [technology finally available] 1956: Term Artificial Intelligence introduced 1960s: Checkers-playing program that was able to play games with opponents 1980s: Quality Control Systems 2000: First sophisticated walking robot
- 5. WHY AI ? Computers are fundamentally well suited to perform mechanical computations, using fixed programmed rules. This allows artificial machines to perform simple monotonous tasks efficiently and reliably, which humans are ill-suited to.
- 6. LIMITATIONS OF HUMAN MIND Object recognition. People cannot properly explain how they recognize objects. Face recognition. Cannot be passed on to another person by explanation. Naming of colours. Based on learning, not on absolute standards.
- 7. APPLICATIONS OF AI Expert systems. Natural Language Processing (NLP). Speech recognition. Computer vision. Robotics.
- 8. EXPERT SYSTEMS An Expert System is a computer program designed to act as an expert in a particular domain (area of expertise). Phases in Expert System Expert Systems currently are designed to assist experts, not to replace them, they have been used in medical diagnosis, chemical analysis,
- 9. NATURAL LANGUAGE PROCESSING The goal of NLP is to enable people and computers to communicate in a natural (humanly) language (such as, English) rather than in a computer language. The field of NLP is divided in 2 categories: • Natural Language understanding.
- 10. SPEECH RECOGNITION The primary interactive method of communication used by humans is not reading and writing, it is speech. The goal of speech recognition research is to allow computers to understand human speech. So that they can hear our voices and recognize the words we are speaking. It simplifies the process of interactive communication between people and computers, thus it advances the goal of NLP.
- 11. COMPUTER VISION People generally use vision as their primary means of sensing their environment, we generally see more than we hear, fell or smell or taste. The goal of computer vision research is to give computers this same powerful facility for understanding their surrounding. Here A.I helps computer to understand what they see
- 12. ROBOTICS A Robot is a electro- mechanical device that can by programmed to perform manual tasks or a reprogrammable multi functional manipulator designed to move materials, parts, tools, or specialized devices through variable programmed motions for performance of variety of tasks. An ‘intelligent’ robot includes
- 13. ADVANTAGES DISADVANTAGES Less room for errors. Improved efficiency. Takes risk instead of humans. Always available. Digital assistance. Faster decision. High development cost. Unemployment. Makes humans dependent. Lack of out box thinking. Could dominate humans.
- 15. QUERIES