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6. Applications & Real-Life Examples
Tools & Ecosystem
Healthcare
Diagnosis — AI analyzes medical images (X-rays, MRIs) to detect tumors, fractures, and diseases with accuracy matching or exceeding human radiologists
Drug Discovery — AlphaFold predicts protein structures; AI screens millions of compounds for drug candidates
Personalized Medicine — Treatment plans tailored to individual patient genetics and history
Finance
Fraud Detection — Real-time transaction monitoring using anomaly detection
Algorithmic Trading — High-frequency trading using ML models
Credit Scoring — ML-based risk assessment for loans
Customer Service — AI chatbots handle banking inquiries 24/7
Transportation
Autonomous Vehicles — Self-driving cars use computer vision, sensor fusion, and path planning
Route Optimization — GPS apps use AI to predict traffic and suggest optimal routes
Ride Sharing — Uber/Lyft use AI for demand forecasting and driver matching
Entertainment
Recommendation Systems — Netflix, YouTube, Spotify suggest content based on user behavior
Generative AI — DALL-E, Midjourney, Stable Diffusion create images; ChatGPT generates text
Game AI — Non-player characters (NPCs), procedural content generation
Education
Adaptive Learning — Platforms like Khan Academy, Duolingo personalize content
Automated Grading — AI evaluates essays and assignments
Tutoring Systems — AI-powered tutors provide personalized help
Everyday AI
Virtual Assistants — Siri, Google Assistant, Alexa, Cortana
Email Filters — Spam detection, smart reply suggestions
Search Engines — Google uses BERT/MUM for understanding search queries
Photo Organization — Google Photos, Apple Photos recognize faces and objects
Practice Task: Choose one industry (e.g., healthcare, finance, education) and research three specific AI applications in that industry. For each, explain: (1) What problem does it solve? (2) What AI technique does it use? (3) What are its limitations? Present your findings in a short report.
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