Word count: 3500 words
Objectives to cover:
Introduction to AI and ML: Overview of Artificial Intelligence and Machine Learning and their growing role in modern technology.
Historical Background: Tracing the evolution of AI and ML from early theories to modern advancements.
Machine Learning Algorithms: Exploring various types of ML algorithms and their real-world applications.
Deep Learning: Understanding deep learning models and their transformative impact on data processing.
Natural Language Processing: Examining how machines interpret and generate human language through NLP.
Reinforcement Learning: Insight into decision-making models that learn through reward-based systems.
AI in Healthcare: Discussing AI-driven innovations, benefits, and challenges in the medical field.
Autonomous Systems: Analyzing the role of AI and ML in self-operating vehicles, drones, and robotics.
Conclusion and Future Trends: Summarizing current progress and exploring emerging trends in AI and ML.
Reference: IEEE style