What Is the Difference Between Artificial Intelligence and Machine Learning?
Artificial intelligence (AI) and machine learning (ML) are closely related but not the same.
- AI: A broad field encompassing technologies that enable machines to mimic human intelligence. AI includes various methods to perform tasks like problem-solving, decision-making, and language understanding.
- ML: A subset of AI that uses algorithms to analyze large datasets, learn patterns, and make intelligent decisions. ML is just one of many techniques used to achieve AI. Other methods include computer vision and natural language processing (NLP).
How Machine Learning Delivers AI
Machine learning is one of the most widely used techniques for delivering AI capabilities. Organizations adopting AI solutions often implement ML to power their applications.
Examples of Machine Learning in Action
- Smartphones: Features like predictive text, speech recognition, face unlock, and personal assistants are driven by ML algorithms.
- AI Applications: Beyond smartphones, ML powers systems like recommendation engines, fraud detection, and autonomous vehicles.
While ML is integral to many AI solutions, it is only one piece of the broader AI puzzle, which includes other technologies like robotics and advanced neural networks.
Arm's Related Solutions and Resources
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