Artificial Intelligence and Its Different Domains.pptx

This presentation discusses the main domains of artificial intelligence and how AI can and will be used in the future times.

1. Domains Of AI By Navya Sharma 9A3

2. Table of contents 01 02 03 04 What is AI? Future trends Domains of AI Conclusion

3. What is AI? 01

4. What is AI? AI, or Artificial Intelligence, refers to the development of computer systems that can perform tasks that typically require human intelligence. These tasks include machine learning, understanding natural language, recognizing patterns, solving problems, and adapting to changing circumstances. AI aims to create systems that can simulate human intelligence and perform tasks autonomously, often with a focus on improving efficiency, accuracy, and problem-solving capabilities.

5. 02 Domains of AI

6. What are Domains of AI? Artificial Intelligence (AI) is a diverse field with various domains, each focusing on specific aspects of intelligent systems. The domains of AI represent specific areas of focus within the broader field of artificial intelligence. Each domain is characterized by its unique set of challenges, techniques, and applications.

7. Main Domains of AI Natural Language Processing Computer Vision Machine Learning Robotics

8. Natural Language Processing NLP involves the Interaction between Computers and human Language. Speech recognition, language translation, chatbots, sentiment analysis. Virtual Assistants like Siri or Google Assistant. Definition Applications Example

9. Computer vision Computer Vision focuses on enabling machines to interpret and make decisions based on visual data. Image and facial recognition, object detection, autonomous vehicles. Facial recognition systems in smartphones. Definition Applications Examples

10. Machine Learning Machine Learning is a subset of AI where Systems learn from data to improve performance on a specific task. Supervised learning, unsupervised learning, Reinforcement and learning. Predictive analytics, Recommendation systems, fraud detection . Definition Types Applications

11. Robotics Robotics combines AI with physical systems to create intelligent machines capable of performing tasks autonomously. Industrial automation, medical robotics, drones. Robotic arms in manufacturing. Definition Applications Examples

12. 03 Future Trends

13. Future Trends The future of AI is marked by dynamic trends shaping its evolution. Anticipated developments include ongoing advancements in machine learning, a growing emphasis on Explainable AI (XAI) for transparent decision-making, and an increasing focus on ethical considerations in AI development. Edge computing integration, AI in healthcare, and the exploration of quantum computing's synergy with AI are pivotal directions. These trends collectively signify a future where AI not only becomes more powerful and versatile but also aligns with ethical standards and addresses diverse societal needs .

14. 04 Conclusion

15. Conclusion AI, or Artificial Intelligence, refers to the development of computer systems that can perform tasks that typically require human intelligence. The domains of AI represent specific areas of focus within the broader field of artificial intelligence. Some domains of AI are Natural Language Processing(NLP), Computer Vision, Machine Learning, Conclusion etc. NLP involves the interaction between Computers and Human Language. Computer Vision focuses on enabling machines to interpret and make decisions based on visual data. Machine Learning is a subset of AI where Systems learn from data to improve performance on a specific task. Robotics combines AI with physical systems to create intelligent machines capable of performing tasks autonomously. The dynamic nature of AI continues to shape and redefine technological landscapes.

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