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AI: Not so scary after all! Learn the basics here.

AI: Not so scary after all! Learn the basics here.

Ever hear about AI in the news? This presentation explains AI in a way that's easy to understand, even for beginners. Find out what AI is and how it's already changing our lives.
Our 6 Months Professional Certificate Programs in Full Stack Web Development, Product Management with UX, and Cybersecurity are designed from the ground up exclusively for career switchers looking to transition from a non-ICT background to an ICT role.

Keep watching this space for more details https://mages.edu.sg/getintotech

MAGES Institute

March 15, 2024
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  1. Private & Confidential A (very) Basic Guide to AI (Artificial

    Intelligence) Understanding the Fundamentals
  2. Private & Confidential Overview • Introduction to AI • Evolution

    of AI • Types of AI • Machine Learning • Deep Learning • Applications of AI • Ethical Considerations • Future of AI • MAGES Institute’s TIPP courses 2
  3. Private & Confidential Introduction to AI 3 Definition of AI

    Artificial Intelligence (AI) refers to the simulation of human intelligence in machines. • Purpose of AI ◦ "AI aims to perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation." Example: Virtual assistants like Siri and Alexa utilize AI to understand and respond to user commands.
  4. Private & Confidential Evolution of AI 4 • Historical Overview

    ◦ "AI research began in the 1950s, with early focus on symbolic reasoning and problem-solving." • Modern AI ◦ "Recent advancements in data availability and computational power have led to the rise of machine learning and deep learning." Example: IBM's Deep Blue defeating chess champion Garry Kasparov in 1997 marked a significant milestone in AI's evolution. Source: Statista
  5. Market Size Gen AI - Singapore 5 Source: https://www.statista.com/outlook/tmo/artificial- intelligence/singapore#market-size

    • The market size in the Artificial Intelligence market is projected to reach US$3.88bn in 2024. • The market size is expected to show an annual growth rate (CAGR 2024- 2030) of 17.84%, resulting in a market volume of US$10.39bn by 2030. • In global comparison, the largest market size will be in the United States (US$106.50bn in 2024). Private & Confidential
  6. Private & Confidential Types of AI • Narrow AI ◦

    "Also known as Weak AI." ◦ "Designed to perform specific tasks, such as virtual assistants, recommendation systems, and image recognition." • General AI ◦ "Also known as Strong AI." ◦ "Hypothetical AI with human-like cognitive abilities, capable of understanding, learning, and reasoning across various domains." Example: Narrow AI includes self-driving cars, while General AI remains a theoretical concept depicted in science fiction. 6
  7. Private & Confidential Machine Learning 7 A subset of AI

    that enables machines to learn from data without being explicitly programmed. • Types of Machine Learning ◦ Supervised Learning: Training a model with labeled data. ◦ Unsupervised Learning: Discovering patterns in unlabeled data. ◦ Reinforcement Learning: Learning through trial and error. Example: Email spam filters use supervised learning to classify emails as spam or not spam based on past examples.
  8. Private & Confidential Deep Learning 8 A subset of machine

    learning that utilizes artificial neural networks to model and understand complex patterns in data. • Applications ◦ Image Recognition: Identifying objects in images or videos. ◦ Natural Language Processing: Understanding and generating human language. ◦ Speech Recognition: Converting spoken language into text. Example: Deep learning powers facial recognition technology used in smartphones and security systems.
  9. Private & Confidential Applications of AI 9 • Healthcare ◦

    Disease Diagnosis: AI can analyze medical images for early detection of diseases like cancer. ◦ Drug Discovery: AI accelerates drug development by predicting molecular interactions. • Finance ◦ Fraud Detection: AI algorithms detect suspicious patterns in financial transactions. ◦ Algorithmic Trading: AI predicts market trends and executes trades autonomously. • Transportation ◦ Autonomous Vehicles: AI enables self-driving cars to navigate roads safely. ◦ Traffic Management: AI optimizes traffic flow and reduces congestion in urban areas. Example: Tesla's Autopilot feature demonstrates the potential of AI in enabling semi-autonomous driving.
  10. Private & Confidential Ethical Considerations 10 • Bias in AI

    ◦ "AI algorithms can inherit biases from the data they are trained on, leading to unfair or discriminatory outcomes." • Privacy Concerns ◦ "AI systems often rely on vast amounts of personal data, raising questions about data privacy and security." Example: Facial recognition technology has faced criticism for its potential to perpetuate racial biases in law enforcement.
  11. Private & Confidential Future of AI 11 • Advancements ◦

    "Continued improvements in AI algorithms, hardware, and data availability." • Challenges ◦ "Ethical and regulatory concerns." ◦ "Ensuring transparency and accountability in AI systems." Example: Research in quantum computing holds promise for enhancing AI capabilities beyond current limitations.
  12. Private & Confidential #GetIntoTech 12 Our 6 Months Professional Certificate

    Programs in Full Stack Web Development, Product Management with UX, and Cybersecurity are designed from the ground up exclusively for career switchers looking to transition from a non-ICT background to an ICT role. Keep watching this space for more details https://mages.edu.sg/getintotech Thank You for taking the First Step.