AI Machine Learning
Machine Learning (ML) is a subset of artificial intelligence (AI) that focuses on the development of algorithms that allow systems to learn from and make […]
Machine Learning (ML) is a subset of artificial intelligence (AI) that focuses on the development of algorithms that allow systems to learn from and make […]
As of 2024, AI technologies have continued to evolve and expand across various domains. Here are some examples of AI technologies and how they are […]
AI self-awareness refers to the hypothetical concept of artificial intelligence systems that possess self-awareness, or an understanding of their own existence, capabilities, and limitations. This […]
The concept of “Theory of Mind” (ToM) refers to the ability to attribute mental states—such as beliefs, intentions, desires, and knowledge—to oneself and to others. […]
Reactive machines are one of the categories in the classification of artificial intelligence systems. They are the simplest form of AI and operate purely based […]
AI can be categorized based on functionality to highlight its various applications and operational capabilities. Here are the main categories of AI based on functionality: […]
Limited Memory AI refers to systems that can utilize past experiences to inform future decisions but do not permanently store information. This type of AI […]
AI based on functionality can be categorized into different types, each serving distinct purposes and applications. Here are several key categories of AI based on […]
Artificial Superintelligence (ASI) refers to a hypothetical form of artificial intelligence that exceeds human intelligence across all domains, including creativity, problem-solving, emotional intelligence, and social […]
Artificial General Intelligence (AGI), often referred to as “strong AI” or “full AI,” represents a form of artificial intelligence that possesses the ability to understand, […]
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