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DAO
Artificial Intelligence refers to the development of computer systems that can perform tasks that would typically require human intelligence. It involves the creation of algorithms and models that enable machines to learn, reason, perceive, and make decisions.
There are generally two types of AI: Narrow or Weak AI, which is designed to perform specific tasks, and General or Strong AI, which possesses human-level intelligence and can handle a wide range of tasks.
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Machine Learning is a subset of AI that focuses on developing algorithms and models that allow computers to learn from data and improve their performance over time. It plays a crucial role in enabling AI systems to recognize patterns, make predictions, and adapt to new information.
Machine Learning is a subset of AI that focuses on developing algorithms and models that allow computers to learn from data and improve their performance over time. It plays a crucial role in enabling AI systems to recognize patterns, make predictions, and adapt to new information.
Machine Learning is a subset of AI that focuses on developing algorithms and models that allow computers to learn from data and improve their performance over time. It plays a crucial role in enabling AI systems to recognize patterns, make predictions, and adapt to new information.
Machine Learning is a subset of AI that focuses on developing algorithms and models that allow computers to learn from data and improve their performance over time. It plays a crucial role in enabling AI systems to recognize patterns, make predictions, and adapt to new information.
Neural
Alan BeghamCEO Neuro
Digital
Brandon AdamsHR Neuro
Solution
Arthur DowsonAI Programmer
Learning
Alan BeghamCEO Neuro