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- 1. Artificial Intelligence Here it all starts…
- 2. Contents of training You Can learn about the vast topics and secrets of AI INTRODUCTION TO AI HISTORY OF AI AI , ML and DL APPLICATIONS OF AI DATA AND CONCEPTS OF DATA AI IN INDUSTRY
- 3. Let’s learn About intelligence Made artificially! Introduction to Artificial Intelligence 01
- 4. What will we learn in this lesson? Let’s solve logical problems in real life with the help of Ai. 01 logical thinking We will look through the concepts of Ai how Ai works ! AI concepts 02 Ai is an Great source of learning and with Playing with Ai We’ll see how we can use this concept of AI ineveryday life Real life applications 03 04
- 6. AI everywhere ! ● Ai is an emulation of human intelligence by machine to mimic human like decision making and problem solving. ● In other words AI, or Artificial Intelligence, is like giving superpowers to computers! ● It's when we teach computers to think, learn, and do cool stuff just like how we humans do. ● Imagine if your computer or robot friend could understand you, learn from what you show it, and even help you with your homework
- 8. • Ancient myths and early engineering hinted at the idea of inanimate objects becoming intelligent beings. • Modern AI began with philosophers trying to understand human thinking as a symbolic system. • The term "artificial intelligence" was coined in 1956 at Dartmouth College. • AI faced tough times during "AI winters" due to funding cuts and market collapses in the 1970s-80s and late 1980s-early 1990s. History of AI • Revival in the 1980s was fueled by renewed government funding, especially in Britain to compete with Japan. • IBM's Deep Blue beat chess champion Garry Kasparov in 1997. • IBM's Watson won "Jeopardy!" in 2011, showing AI's progress in natural language understanding. • Eugene Goostman fooled judges in a Turing test in 2014, demonstrating AI's ability to mimic human conversation. See more….
- 9. Popular AI Sophia is a humanoid robot developed by Hanson Robotics, known for its lifelike appearance and ability to engage in conversation. It has garnered attention as a prominent example of AI technology and its potential applications in human-robot interaction. SOPHIA – THE HUMANOID ROBOT
- 10. Popular AI ….. Devin is an AI software engineer developed by OpenAI, representing a significant advancement in artificial intelligence. Designed to automate software engineering tasks, Devin demonstrates the potential for AI to contribute to software development processes. DEVIN – THE FIRST AI SOFTWARE ENGINEER
- 11. Turing Test for machines .. ● There are two rooms, A and B. ● One of the rooms contains a computer. ● The other contains a human. ● The interrogator is outside and does not know which one is a computer. ● He can ask questions through a teletype and receives answers from both A and B. ● The interrogator needs to identify whether A or B are humans. ● To pass the Turing test, the machine has to fool the interrogator into believing that it is human.
- 13. Fraud in AI …. Fraud in AI refers to malicious or deceptive activities involving artificial intelligence systems. This can include the intentional manipulation of AI algorithms, data poisoning to corrupt training data, or the exploitation of vulnerabilities in AI systems for fraudulent purposes, such as generating fake reviews, manipulating financial markets, or conducting identity theft. Preventing fraud in AI requires robust security measures, ethical guidelines, and ongoing monitoring and auditing of AI systems.
- 14. Machine Learning Machine learning is teaching computers to learn from data and improve over time without being explicitly programmed for every task. Machine learning is a branch of artificial intelligence (AI) that focuses on the development of algorithms and statistical models that enable computers to perform tasks without being explicitly programmed for each task.
- 15. Examples for Machine learning Automobile : Automatic car Auto correction: Grammarly
- 16. AI , ML and DL
- 17. Supervised vs Unsupervised Learning 1.Guided learning with labeled data. 2.Clear goal of mapping inputs to outputs. 3.Feedback loop for model improvement. 4.Examples: predicting prices, recognizing digits. 5.Teacher-student relationship. 1.Independent learning without labels. 2.Exploration for underlying data structure. 3.No feedback loop due to lack of labels. 4.Examples: clustering, segmentation, anomaly detection. 5.Discovering hidden patterns. Supervised learning Unsupervised learning
- 18. Reinforcement Learning What is Reinforcement Learning? Imagine teaching a robot to perform tasks by trying different actions and learning from the outcomes. 1. The robot gets rewards for good actions (like finding a diamond) and penalties for bad ones (like touching fire). 2. RL is like a learning adventure where the robot explores and figures out the best moves. How Does RL Work? 1. Think of a robot navigating a maze. It tries different paths, receives feedback (rewards or penalties), and adjusts its strategy. 2. The robot’s goal is to maximize rewards (like reaching the diamond) while avoiding pitfalls (like fire).
- 19. Examples for reinforcement learning Training a dog. Training a robot to run through a maze
- 21. Hands on activity! “Write a prompt to ask ai to give the user a random animal and its personality traits, ask the for image “ “Ask ai about the fact related to Your Birth Date!” “Ask the Ai which popular celebrity having same birthday as yours”
- 22. Activity Time Lets interact with Ai and human lets ask them the questions about real life incidence “who is current prime minister of India.” “what is your favourite colour”. Etc,
- 23. Applications of AI ● AI in astronomy. ● AI in gaming. ● AI in social media. ● AI in entertainment. ● AI in robotics. ● AI in agriculture. ● AI in education.
- 24. Activity 1: Image Search Can you guess How many animals are there in the image???
- 30. Activity Time Try beating me ! Choose any character, object and animal! I can read your mind!
- 31. SIH PROJECT THINK ABOUT A PROJECT ON WHICH YOU CAN WORK IN FUTURE. SIH IS A NATIONAL LEVEL CODING COMPETITION. YOU CAN SHARE YOUR IDEAS ON DAY 2 OF THE SESSION. SHOW YOUR INNOVATIVE SIDE ON DIFFERENT TYPES OF PLATFORMS .
- 32. Concepts of Data Data is raw information, comprising facts, figures, or observations, often stored in digital form for analysis and processing. What is Data? And it types • Text Data: Data in the form of written text, documents, or articles. • Image Data: Data in the form of images or pictures. • Audio Data: Data in the form of sound or audio signals. • Video Data: Data in the form of moving images or videos.
- 33. CHAT-GPT ChatGPT is a state-of-the-art language model developed by OpenAI. It's trained on vast amounts of text data and can understand, generate, and respond to human language. ChatGPT is widely used in conversational agents, content creation, language translation, and other natural language processing tasks due to its advanced capabilities and versatility.
- 34. IMAGE GENERATION - OPENAI Image generation using AI involves training a computer program to create new images. One popular technique is using Generative Adversarial Networks (GANs). Tools: 1.Bing 2.Copilot 3.Deep.Ai 4.Jasper Art
- 35. ACTIVITY TIME Revolutionary text-to-video and text-to-audio tech convert written content into engaging multimedia experiences, enhancing education, marketing, accessibility, and entertainment. Deepbrain flicki naturalreaders GENERATE YOUR OWN VIDEOS AND AUDIOSVIDEOS
- 36. AI in Gaming Artificial Intelligence (AI) plays a significant role in the gaming industry, influencing game design, development, and player experiences in various ways.
- 37. Top AI Games to Know ● The Last of Us ● FIFA 22 ● Red Dead Redemption 2 ● Minecraft ● Rocket League ● BGMI
- 39. PROS AND CONS
- 40. EXAMPLES PRIVACY SAFETY JOB DISPLACMENT AI algorithms in social media platforms track user behavior, raising concerns about data privacy and potential misuse of personal information. Autonomous vehicles utilizing AI technology face safety challenges, including algorithmic errors and cybersecurity vulnerabilities, posing risks to passengers and pedestrians. Automation driven by AI in various industries leads to job displacement as tasks previously performed by humans are automated, causing unemployment and shifts in the labor market.
- 41. AI IN INDUSTRY Industries constantly evolve, progressing from the 1.0 to the anticipated 5.0 revolution. Currently, we're amidst the transformative era of Industry 4.0, characterized by digitalization and connectivity. Looking ahead, Industry 5.0 promises human-machine collaboration and a focus on sustainability. The future holds exciting prospects for innovation and progress in our ever-changing industrial landscape. The fourth industrial revolution marks a profound transformation in manufacturing and production methods, fueled by digital technology advancements.
- 44. GLOBAL IMPACT ECONOMY HEALTH-CARE EDUCATION
- 46. AI presentation makers use advanced algorithms to create engaging presentations efficiently, anlayzing content, selecting templates, and designing slides autonomously. This streamlines the process, saving time and enhancing productivity for users. AI PRESENTATION TOME
- 47. A website is like a house. The frontend is the part you see and interact with, just like the colors, pictures, and buttons in a house that make it look nice and welcoming. The backend is like the hidden rooms and systems that make everything work smoothly, such as storing information and making sure everything runs correctly behind the scenes. So, the frontend is what you see and touch, while the backend is what makes it all work together like magic! AI for Website Creation What is a Website? Short Activity • Let's embark on a creative journey to craft a stunning website for a fictional business or shop. We'll aim to make it visually appealing and engaging within the given time frame. Let's get started! • https://durable.co/ , https://teleporthq.io/ai-website-builder
- 48. AI-generated websites often lack the creativity and originality that human designers bring. While they can generate content based on patterns and data, they may struggle to produce truly unique or Limitations of AI Websites Asking Students about what limitation they found ? Lack of Creativity AI may have difficulty understanding the context of user queries or interactions, leading to inaccurate responses or irrelevant content suggestions. Limited Understa nding of Context AI algorithms heavily rely on the quality and quantity of data they are trained on. If the data is biased, incomplete, or inaccurate, the AI- generated website may produce flawed results or recommendations. Dependency on Data Quality
- 50. PROJECT DISCUSSION Smart India Hackathon (SIH): This is an initiative by the Government of India under the Ministry of Education (formerly Ministry of Human Resource Development) aimed at promoting innovation and technology development. It typically involves a hackathon where students from various institutions across India come together to work on problem statements provided by different government departments and agencies.
- 51. SIH JUNIOR SIH Junior is an extension of the Smart India Hackathon initiative for students in classes 6 to 12. It fosters innovation and problem- solving skills by providing a platform to address real-world challenges.
- 52. • KAVACH • TOYCATHON • YUKTI INNOVATION • STEMist Hacks 2.0 • Amazon Sustainability Data Initiative Hackathon • HackMIT HACKATHONS NATIONAL LEVEL INTERNATIONAL LEVEL HACKATHON S • ICODE GLOBALHACKATHO N • AMERICANCOMPUT ERSCIENCE LEAGUE