What is AI | Ismoiljon Isroilov | TEDxLeader Education Center Youth Live

Key Concepts:

• Artificial Intelligence (AI)
• Machine Learning
• Self-driving cars
• AI assistants
• Diagnosis
• Challenges and opportunities of AI

1. Introduction to Artificial Intelligence (AI)

• AI, or Artificial Intelligence, is a branch of computer science.
• AI focuses on creating machines that can think, learn, and solve problems.

2. Evolution of AI

• The core concept of AI emerged in the mid-1900s.
• The first AI implementations appeared in the 1950s.
• Machine learning, a subfield of AI, was developed in the 1980s.
• Machine learning enables robots to learn from data, such as information from the internet.
• Robots can learn and understand languages through machine learning.
• AI is constantly learning and becoming more powerful through machine learning.

3. Applications of AI

• Medicine: AI can assist in diagnosis, helping doctors provide accurate assessments of illnesses. AI robots can provide nearly 100% accurate diagnoses.
• Transportation: Tesla uses AI in self-driving cars. These cars can drive to a specified location without human intervention.
• Personal Assistants: Google Assistant, found in phones like the Samsung S25 Ultra, uses AI to perform tasks such as finding pictures or providing definitions.

4. Future of AI

• AI is rapidly growing and improving.
• AI is also improving in Uzbekistan.
• AI-powered chatbots like ChatGPT and DeepSea are capable of providing information on a wide range of topics, including daily news and weather forecasts.

5. Challenges and Opportunities

• Challenges: Learning and working with AI requires a high level of intelligence and technological proficiency.
• Opportunities: AI will create new job opportunities in the future.

6. Conclusion

• AI has a great future and is constantly evolving.
• It presents both challenges and opportunities for individuals and society.
• AI is being improved every day.