Artificial Intelligence.pptx
- 2. Welcome Message Team Members Madan Acharya Ashal Upreti Oman Neupane Ashish Pandey Rakesh Kumar Chaudhary Thanks to our respectable Arun Kumar Gaire Sir for this wonderful opportunity to devlop our presentation skills.
- 3. Agendas • • • • • • • Introduction and the history Current and the future status Uses in different field Some of Great innovation AI in Nepal The dark side Q&A session ?
- 4. Intro about AI • Science and engineering of making intelligent machines • Machines that mimic human intelligence to perform tasks and can iteratively improve themselves based on the information they collect Human approach: • • Systems that think like humans Systems that act like humans Ideal approach: • • Systems that think rationally Systems that act rationally
- 6. History • • • • • • 1950s:- Alan Turing test about "can machine think?" 1960s:-John McCarthy "artificial intelligence" term ,first ever AI conference and the development of logic theorist first ever running AI software Program 1970s:-launching of PROLOG programming 1980s:- Use of Neural Networks 1990s:-IBM's Deep Blues beats the world Champion Garry Kasparov in a chess match. 2000s-present:- Development of deep Neural network ,DeepMind AlphaGo Program, widely use of AI in different Sectors
- 10. Types of Arti cial Intelligence • ☐ ☐ • ☐ ☐ • ☐ Artificial Narrow Intelligence Weak AI Apply AI only to the specific tasks Eg:-ALEXA Artificial General Intelligence Strong AI ability to perform any task that a human being can do Eg;-recommendation engine Artificial super intelligence time when capability of the computer will surpass humans.
- 12. Do people know where AI is used ? 80 74 General Population Tech Executives Stats among 979 U.S adults and 269 tech executives 65 60 56 55 45 46 48 46 40 37 38 35 28 20 0 voiceAssistants t e x t D r o n e s G a m i n g C o n s o l e source: Edleman N a t u r a l L a n g u a g e r e c o n i g a t i o n c o m p u t e r
- 13. Methods in AI • ☐ ☐ • ☐ ☐ Symbolic approach Top down approach Inserting human knowledge and behavior rule into codes. Connectionist approach Based on the human Being working mechanism and interconnected neurons. use perceptron to represent a single neuron . eg:-Neural Network
- 14. AI facts and predictions • • • • Statista, AI software market revenue 126 billion dollars by 2025 Gartner, 37% of organizations have implemented AI ,growth by 270% in four years Servion Global Solutions, by 2025, 95% of customer interactions will be powered byAI Statista expected to grow approximately 54% year-on-year and reach a forecast size USD $22.6 billion
- 15. Best Arti cial Intelligence programming languages ☐ ☐ ☐ ☐ ☐ ☐ Python Java JavaScript C++ Julia Lisp Source: Barkley Extension
- 16. AI learning
- 17. Roadmap
- 18. Out of topic Interesting Facts ☐ ☐ Wireless bungee Jump is possible with combination with science. Non-Newtonian fluids changes into solids when pressure is applied.
- 19. Current status of AI ☐ • • • • • According to research paper of Othmane Sebbouh and Nitarshan Rajkumar: New independent research lab rapidly Opening NVIDIA Hardware most used Safety is gaining awareness among major AI research entities. The China-US AI research gap continued to widen AI-driven scienti c research continues to lead to breakthroughs
- 20. Future Status of AI ☐ ☐ ☐ ☐ ☐ Self-aware AI Widely use of AI in space utilization Many of the organization using AI robots to handle work. Augmenting human abilities Some of our best friends will be Robots.
- 21. AI in different eld Logistics & Shipping: • • • • • Route optimization system Back office Tasks Automation Peak hour Prediction Chatbots Autonomous Vehicles
- 22. AI in different eld ☐ • • • • • Healthcare Medical Imagine Analysis Drug Discovery system Cancer Treatment and Research Cost of medicine Development Genetic Medicine Discovery
- 23. AI in different eld ☐ • • • • • Education Smart Textbooks Test preparation apps Smart assessment tools voice assistant Scoring and feedback system
- 24. AI in different eld ☐ • • • • Entertainment & Media Streaming Personalizations Subtitle Creation Search Optimization Meta Data Tagging
- 25. AI in different eld ☐ • • • • • Banking & Finance Fraud Detection Budget Management Apps InvestmentTools Insurance Risk Detection Transaction Customization
- 26. Great Innovations COIN: JP ☐ At JPMorgan, an AI-powered program called COIN has been used since June 2017 to interpret commercial loan agreements. ☐ 360,000 lawyer-hours can now be done in seconds ☐ The bank is planning to use the technology for other types of legal documents as well.
- 27. IBM WATSON : ☐ ☐ ☐ Clinical decision support tools help providers make decisions about treatments, medications, mental health and other patient needs by providing them with quick access to information or research that's relevant to their patient. In medical imaging, AI tools used to analyze CT scans, x-rays, MRIs and other images for lesions or other findings that a human radiologist might miss. Clinical trial efficiency
- 28. Google Eye Doctor: ☐ ☐ ☐ retina scan Identify the condition called diabetic retinopathy Causes Blindness
- 29. Twitter Transparency ☐ Twitter using AI to identify hate speech and terroristic language in post ☐ Discovered and banned 300000 Twitter account from which 95% of them are AI detected.
- 30. Sophia the robot ☐ ☐ Sophia social humanoid robot developed by Hanson robotics Ameca: Another Advanced Humanoid Robot
- 31. AI Human Creative Task prediction ☐ ☐ ☐ ☐ ☐ ☐ 2026: Write a high school essay 2027: Generate a top 20 pop song 2028: Generate a creative Video 2049: Write a New York Times Bestseller 2050: Compete in Putnam Math competition 2059: Conduct math research Source: World economic forum creative disruption white paper
- 32. AI in Nepal? ☐ ☐ ☐ ☐ ☐ ☐ waiter Robots in business restaurants Use of imported AI technology Nepali speech recognition software by Paila Technology cooming soon. Fuse machines Robotics club Pulchowk second runner up in Robocon 2022 india KHEC claiming that they are building first AI lab.
- 33. Why slow ? ☐ ☐ ☐ ☐ ☐ IrresponsibleGovernment Theory based Education system Wrong Globalization Path Lazy Mindset Lack of Investment on Technology
- 34. The dark side ☐ ☐ ☐ ☐ ☐ implementation cost unemployment Destruction if implementation of machine put in the wrong hand Biased and discriminatory algorithms Environmental impact
- 35. AI as Threat? ☐ ☐ Debatable Question! Stephen William Hawking, "Strong Ai would take of its own , and redesign itself at an ever-increasing rate. Humans, Who are limited by slow biological evolution, couldn't compete, and would be superseded ". ☐ Elon Musk, "AI is the fundamental risk to the existence of the human civilization".
- 37. References ☐ ☐ ☐ "Machine learning, explained | MIT Sloan." 21 Apr. 2021, https://mitsloan.mit.edu/ideas-made-to-matter/machine-learning-explained. "State of AI Report 2022." https://www.stateof.ai/. "The Future of AI: When Will It Self-Awareness?." 28 Sept. 2022, https://artificialintelligences.blog/the-future-of-ai-when-will-it-self-awareness/.
- 39. Q&A?