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Types Of Artificial Intelligence Technologies

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  Introduction:   Artificial Intelligence (AI) has evolved significantly over the years, revolutionizing various industries and transforming the way we live, work, and interact. With its rapid advancements, AI has diversified into different types, each catering to specific domains and solving unique problems. In this comprehensive article, we will delve into the various types of AI technology, exploring their characteristics, applications, and potential implications.   1. Reactive Machines:   Reactive machines represent the most basic form of AI technology. They operate solely on the basis of current inputs and do not possess memory or the ability to learn from past experiences. Reactive machines excel at specific tasks and exhibit impressive capabilities, but they lack the capacity for generalization. Examples include Deep Blue, the chess-playing computer, and autonomous vehicles.   2. Limited Memory AI:   Limited Memory AI systems possess the ability to retain inf
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Best Programming Languages For Web Development || What Web Development Languages Should I Learn?

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Reactive Machines: Revolutionizing AI with Real-Time Decision-Making

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 Introduction:   Reactive machines are a notion that has attracted a lot of interest in the fast changing field of artificial intelligence (AI). Reactive machines, which emphasise real-time responsiveness and adaptable behaviour in dynamic situations, offer a new paradigm in AI systems. These machines have the capacity to instantly perceive, evaluate, and respond to incoming sensory data, which enables them to make wise decisions. Reactive machines are intended to continually process and respond to real-time data streams, as opposed to conventional AI systems, which rely on static algorithms and pre-defined rules. They are especially well suited for applications like autonomous vehicles, industrial automation, and robotics because of their real-time adaptability, which gives them the ability to handle challenging and unpredictable situations. Sensor networks for data gathering, complex algorithms for real-time data processing, and decision-making processes that take into accoun
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