Recently, artificial intelligence has become controversial due to the easy way to improve human tasks. However, among the 5 types of artificial intelligence, they serve dissimilar features and functions.
This article provides a helpful guideline for you to get to know more about the main types of AI in this digital era. What are their advantages and examples? Start reading!
Key takeaways:
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The definition of artificial intelligence refers to a huge development of technology. Within the field of artificial intelligence, 5 types of AI are accessible for multiple uses with incredible features. Below are 5 AI types you can use to improve tasks. Go check them out!
The first of the 5 types of artificial intelligence is Artificial General Intelligence (AGI), which represents a human-like system. An AI researcher stated that AGI has the cognitive capacity of humans to learn anything. Thus, it can make decisions, solve problems, and understand the abstract specifically.
With the human-like system, AGI is considered to be used for education, customer service, and autonomous vehicles. For instance, IBM’s Watson and GPT-4.
However, AGI requires deep learning to mimic human intelligence and generalize information across multiple sources. To advance the challenge, AGI requires intensive training with machine learning algorithms to develop the system into a more adaptive one.
This system is capable of performing tasks based on predefined functions and requires training. The more well-trained narrow AI will be efficient in solving complex issues with specific data and algorithms.
However, narrow AI may be limited in its ability to process information beyond its pre-programmed algorithms. For instance, Google’s search engine failed to show results related to the keyword.
Furthermore, voice assistants such as Siri and Alexa are unable to present results based on voice recognition. This could occur due to a narrow AI system running with an unconscious machine.
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Reactive machine AI is one of the 5 types of artificial intelligence that are capable of processing large amounts of data. It requires specific prompts to deliver precise outputs and improve task performance.
However, due to a lack of memory, reactive machine AI should be trained. The system will regularly observe the data history to deliver output recommendations in the future. For instance, Netflix’s recommendation engine will show several results based on the search history.
The system that runs this AI is based on historical data. It will temporarily store multiple current inputs into the system to produce future output. Further, the old data will regularly be replaced by new data entry. Thus, limited memory AI will work to regularly learn from the data to improve the output.
To avoid losing important data, you can repeatedly input significant details. Limited memory AI will store it and keep enrolling the essence, and the data will remain updated in the system. For instance, Tesla’s AI is capable of analyzing driving patterns and remarking on every traffic light, pedestrian, and surrounding.
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The different types of artificial intelligence are also seen in the self-aware AI, which possesses cognitive capability and a deeper understanding. With the ability to represent a deeper understanding, self-aware AI can deliver thoughtful system performance.
However, the advanced system of self-aware AI could be a risk for humans since it could replace human jobs. A clear example is when a robot such as Sophia by Hanson Robotics could take a role in public, especially in customer service.
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There are 5 types of artificial intelligence mentioned here, even more beyond these. Each of them has their own features and functions to help humans at work. However, most of the AIs require learning and developing the output through various outputs.
The bugs within technologies such as Siri, Alexa, Google, and Netflix are probably caused by the failure of AI to produce output. Those technologies need to be advanced by inputting new actions and prompts to let them adapt.
As AI continues to advance, it holds immense potential to enhance our lives, though it’s important to remain mindful of the responsible integration of these powerful systems.
