Essential_Components_of_AI_Presentation.pptx

AI IoT

1. Essential Components of Artificial Intelligence Exploring the foundational aspects of AI technologies M.Sc. Electronics (NEP 2.0) Semester IV - 2025 By: [Your Name]

2. 1. Machine Learning (ML) • Machine Learning enables systems to learn from data without explicit programming. • ML algorithms identify patterns and make predictions based on data. • Applications: recommendation systems, fraud detection, predictive analytics.

3. 2. Natural Language Processing (NLP) • NLP allows computers to understand and respond to human language. • Combines linguistics, machine learning, and AI to process speech and text. • Applications: chatbots, virtual assistants, translation, sentiment analysis.

4. 3. Computer Vision • Computer Vision empowers computers to interpret visual data such as images and videos. • Uses AI models and image recognition algorithms to analyze content. • Applications: facial recognition, self-driving cars, medical image analysis.

5. 4. Robotics • Robotics integrates AI with mechanical systems to perform human-like tasks. • Robots can sense, plan, and act based on AI algorithms. • Applications: industrial automation, healthcare robots, space exploration.

6. Summary Artificial Intelligence is built upon key components that enable intelligent behavior: • Machine Learning – data-driven learning. • Natural Language Processing – communication with humans. • Computer Vision – visual understanding. • Robotics – intelligent physical actions. Together, these technologies form the foundation of modern AI systems.