PPT presentation on ARTIFICIAL INTELLIGENCE
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The document presents an overview of artificial intelligence (AI) created by a group of students. It defines AI as the simulation of human intelligence by machines. The document then discusses the history of AI, current applications including healthcare, education, and aviation, as well as goals, approaches, tools, platforms, advantages, and disadvantages. It notes that while AI can perform tasks efficiently with little error, it may also decrease human labor and pose ethical issues. The future of AI is discussed, with predictions that speech and image recognition will improve human-device interaction and AI will start to operate more autonomously.
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PPT presentation on ARTIFICIAL INTELLIGENCE
- 1. ARTIFICIAL INTELLIGENCE ( A.I.) Presented by TECHIE PROPHETS
- 2. GROUP MEMBERS SNIGDHA SEN CHOWDHURY SANDIPAN GHOSH DAYEETA MUKHERJEE DIPANJAN DAS ANUSHKA GHOSH CSE 2A
- 3. CONTENTS • INTRODUCTION • HISTORY • CURRENT STATUS • GOALS • APPLICATIONS • ADVANTAGES & DISADVANTAGES • FUTURE SCOPES • CONCLUSION
- 5. WHAT IS
- 6. ARTIFICIAL INTELLIGENCE ARTIFICIAL INTELLIGENCE Intelligence: “The capacity to learn and solve problems” Artificial Intelligence: Artificial intelligence (AI) is the simulation of human intelligence by machines. • The ability to solve problems • The ability to act rationally • The ability to act like humans
- 8. EARLY HISTORY OF A.I. 1950 : “CAN MACHINES THINK??????” 1956 : THE TERM “ARTIFICIAL INTELLIGENCE” WAS FIRST INTRODUCED.
- 9. CURRENT STATUS OF A.I. A.I. FOR GOOD • Analyse Satellite Images to identify which areas have the highest poverty level AVIATION • Gate allocation for plane while landing • Ticket price determination EDUCATION • Companies are creating robots to teach subjects
- 10. CURRENT STATUS OF A.I. HEALTHCARE • Solving a variety of problems of patients, hospitals & healthcare industry overall. • Using Avatars in place of patients. HEAVY INDUSTRY • Robots have become very common in many industries • Can do repetitive laborious tasks FINANCE • Algorithmic Trading • Market analysis & data mining • Personal Finance • Portfolio management
- 12. • To develop algorithms that human use. • Algorithms can require enormous computational resources and problem goes beyond a certain size • KNOWLEDGE REPRESENTATION : To build machine with the capability of making working assumption and common sense.
- 13. • Planning : In classical planning problems, the agent can assume that it is the only system acting on the world Multi-agent planning uses the cooperation and competition of many agents to achieve the given goal. • Learning : Machine learning is the fundamental concept of AI search. Unsupervised learning is the ability to find patterns in s stream of input Supervised learning includes both classification and numerical regression
- 14. : Natural Language Processing gives machines the ability to read and understand human language. Common method of processing meaning from natural language is through semantic indexing. : Machine perception is the ability to use input from sensors to deduce aspects of the world
- 15. • MOTION & MANIPULATION : Intelligence is required for robots to handle tasks such as object manipulation and navigation Affective computing is the development of systems that can recognize, interpret, simulate human affects Emotion and social skills are important to an intelligent agent to understand others and to make better decisions.
- 16. APPROACHES OF A.I. CYBERNETICS & BRAIN SIMULATION COGNITIVE SIMULATION STATISTICAL APPROACH SYMBOLIC APPROACH
- 17. • Search & Optimization • Logic • Probabilistic Methods • Neural Networks
- 19. EDUCATION IN A.I. PARTNERSHIP ON A.I.
- 21. Competition & prizes Automotive Healthcare Finance & Economics Video games
- 24. The chances of error are almost nil It can be used to explore space, depths of ocean Smartphones are greatest example of A.I. It can be used in time consuming tasks efficiently Algorithms can help the doctors asses patients and their health risks Machines do not require sleep or break and are able to function without stopping
- 26. High cost Decrease in demand for human labour AI may be programmed to do something devastating Machine Ethics The storage and access are not as effective as human brains No improvement with experience
- 28. Improved speech, voice, image ,video recognition will change the way interact with our devices Personal assistants will become more personal and context aware More and more systems will run autonomously to a point The positive impact AI research can have on humanity will start to be across many walks of life - much of it behind the scenes WHAT WILL THE NEXT DECADE BRING ??
- 30. • A.I. Is a common topic in both Science Fiction & Projection. • The future of Technology & society. • Rivals Human Intelligence. • Raises difficult Ethical Issues. THINKING HUMANLY THINKING RATIONALLY ACTING HUMANLY ACTING RATIONALLY
- 31. OBJECTIVES : AM I GOOD OR BAD?? IT DEPENDS ON WHO CREATED… A.I. IS LIKE TWO EDGED SWORD , AT ONE END THEY CAN SOLVE PROBLEMS INTELLIGENTLY , AT ANOTHER END THEY POSE A PROBLEM THEMSELVES……SO WE HAVE TO HANDLE IT PROPERLY.
- 32. BIBLIOGRAPHY • https://www.cs.umn.edu/research/research_areas/robotics-and- artificial-intelligence • https://deeplearning4j.org/ai-machinelearning-deeplearning • https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence • https://study.com/academy/lesson/what-is-artificial-intelligence- definition-history.html • https://www.ubs.com/magazines/innovation/en/into-the- future/2017/ai-and-financial-services.html • https://en.wikipedia.org/wiki/Artificial_intelligence#Applications • https://blog.robotiq.com/whats-the-difference-between-robotics-and- artificial-intelligence • https://resellernews.pl/raport-technology-vision-2017-sztuczna- inteligencja-szansa-dla-polskiej-gospodarki/
- 33. We would like to express our special thanks of gratitude to our teacher Mrs. Sharmistha Basu , who gave us the golden opportunity to do this wonderful project on Artificial Intelligence .We came to know about so many new things for that we are very thankful. Secondly we would also like to thank our parents and friends who helped us a lot in finalizing this project within the limited time frame.
- 34. REFERENCES • https://www.cs.umn.edu/research/research_areas/robotics-and-artificial-intelligence • https://deeplearning4j.org/ai-machinelearning-deeplearning • https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence • https://study.com/academy/lesson/what-is-artificial-intelligence-definition-history.html • https://www.ubs.com/magazines/innovation/en/into-the-future/2017/ai-and-financial- services.html • FOR FURTHER DETAILS : Email : [email protected] Mob : 9635217315 8478903889