Which term describes AI that improves through experience and data analysis?

Which term describes AI that improves through experience and data analysis?

• A. Machine Learning (ML)
• B. Artificial Intelligence (AI)
• C. Lifelong Learning
• D. Digital Research Skills

Answer: (A)

Machine learning describes AI systems that improve through experience and data analysis. As these models encounter more data, they adjust their internal parameters, discover patterns, and get better at making predictions or decisions without being explicitly programmed for every situation. This data-driven learning is what sets machine learning apart from broader artificial intelligence, which can include non-learning approaches like rule-based systems. Lifelong learning refers to the ongoing ability to learn across tasks over time, a broader capability that isn’t the specific mechanism by which most AI systems improve from data in a given task. Digital research skills are unrelated to how AI learns from data.

Machine learning describes AI systems that improve through experience and data analysis. As these models encounter more data, they adjust their internal parameters, discover patterns, and get better at making predictions or decisions without being explicitly programmed for every situation. This data-driven learning is what sets machine learning apart from broader artificial intelligence, which can include non-learning approaches like rule-based systems. Lifelong learning refers to the ongoing ability to learn across tasks over time, a broader capability that isn’t the specific mechanism by which most AI systems improve from data in a given task. Digital research skills are unrelated to how AI learns from data.