Describe the applications of artificial intelligence systems : AI vs ML

The video introduces the concepts of artificial intelligence (AI) and machine learning (ML), highlighting their definitions, differences, and similarities. It explains that AI involves computer systems performing tasks requiring human intelligence, while ML is a subset of AI focused on learning from data. The video clarifies what ML is not, such as logic-based or biologically inspired systems, and discusses adversarial examples that challenge ML's understanding. It contrasts rule-based AI with ML and explores practical applications and advancements in AI and ML, including deep learning and natural language processing.

What is an example of how a machine learning algorithm can be fooled?

What are some examples of tasks that artificial intelligence can accomplish without machine learning?

In what ways has deep learning improved artificial intelligence research?