Speaker
Description
● Definition and Scope of AI. Introduction to AI and its goal of simulating human intelligence through machines.
● Data Mining and Big Data. Explanation of data mining and its crucial role in analyzing vast datasets to extract valuable insights.
● Subfields and Techniques of AI. Overview of core AI subfields: machine learning, neural networks, robotics, and their methodologies.
● Historical Evolution and Milestones. Journey of AI from its mythological roots to contemporary breakthroughs like Deep Blue, AlphaGo, and Large Language Models.
● AI Winters. Discussion on the AI Winters and the factors that led to periods of stagnation.
● The Rise of Machine Learning. Focus on machine learning's pivotal role in the revival of AI and foundational advances in neural networks.
● Contemporary AI Applications. Practical uses of AI in natural language processing, computer vision, autonomous vehicles, and more.
● Ethical Considerations and Challenges. Addressing ethics, privacy, and societal impacts associated with the advancement of AI technologies.
● Future of AI with Supercomputing. Exploring how supercomputers enhance AI development, providing the computational power for complex tasks.
