Artificial Intelligence (AI) has rapidly evolved from a buzzword to a reality that is now an integral part of our lives. To succeed in 2024, it is crucial to have a grasp of AI, including Machine Learning, Deep Learning, AI Models, Generative AI, Natural Language Processing, Data Science, and Computer Vision. AI can be classified based on capabilities into Artificial Narrow Intelligence (ANI), Artificial General Intelligence (AGI), and Artificial Super Intelligence (ASI). ANI is currently the most common form of AI, while AGI and ASI are more advanced and still in development.
AI can also be classified based on functionalities into Reactive Machines, Limited Memory, Theory of Mind, and Self-awareness. Each type has different capabilities and levels of intelligence. AI extends to subfields such as Machine Learning, Robotics, Computer Vision, Natural Language Processing, and Expert Systems, all contributing to the overall goal of artificial intelligence.
Machine Learning focuses on developing algorithms that allow computers to make informed decisions based on data, while Deep Learning is a subset of Machine Learning that uses multi-layered neural networks to process information. Robotics involves designing and building robots, while Computer Vision enables machines to understand visual information. Natural Language Processing allows computers to process human language, and Expert Systems emulate human decision-making in specific domains.
The field of AI is vast and constantly evolving, with new developments emerging every day. Understanding the basics of AI and its subfields is essential for navigating the future of technology.
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