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How Does Artificial Intelligence Work?
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| bet | 9/13 | | Sana | 16.05.2024 | | Hajmi | 468,13 Kb. | | #237740 |
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AI systems are typically composed of two main components: an algorithm and a dataset. The algorithm is the set of instructions that tells the system how to process data and make decisions. The dataset is the collection of data that the system uses to learn from and make decisions based on. For example, an AI system might use a dataset of images to learn how to recognize objects in photos.
What Are the Benefits of Artificial Intelligence?
AI has many potential benefits, including increased efficiency, improved accuracy, and enhanced decision-making capabilities. AI systems can help automate mundane tasks, freeing up time for more important work. They can also provide more accurate results than humans can achieve on their own, reducing
errors and improving accuracy. Finally, AI systems can help businesses make better decisions by providing insights into customer behavior or market trends that would otherwise be difficult or impossible to uncover.
In conclusion, artificial intelligence is an exciting field with many potential applications in both business and consumer settings. By understanding what AI is and how it works, businesses can begin to harness its power to improve their operations and gain a competitive edge in their industry.
Reactive intelligence - As the term implies, reactive intelligence is the type of artificial intelligence that only reacts to certain input. Reactive AI does not have the ability to form memories or use past experiences in order to make a decision. On other words, they are incapable of learning in the traditional sense. Instead, the AI is programmed and will react with a predefined set of parameters. One of the most famous examples is IBM’s Deep Blue chess computer that was able to beat Garry Kasparov in 1997
Limited memory intelligence - This type of AI is an improvement over reactive AI in the sense that it is capable of using memory to study past data and then make a decision based on those choices. The type of memory this form of AI uses in general is short-lived or temporary memory. One of the more famous example of a limited memory AI is a self-driving car. The AI that is built into the car can use sensors and then call upon its previous memory in order to identify pedestrians or traffic signals. In this way, it is able to make quick decisions that can reduce accidents occurrence. An important thing to add is that machines that operate on a limited memory principle have a set of values pre-programmed and are unable to change those main parameters. They can adapt to new changes by modifying the original program, but they cannot change their behavior unaided.
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