If you are a student of AI, you will probably be familiar with the terms Reactive machine, Narrow AI, and Strong AI. But do you know what each of these terms means? Here are some examples. Read on to discover how these technologies are being used in the healthcare industry. This article will discuss the various types of artificial intelligence and how they can be applied.
Whether you’re interested in advancing the field of AI or just want to learn more about this technology, we’ve got you covered!
Reactive machine artificial intelligence
Reactive machine AI resembles the human brain, with the ability to respond to situations without any memory or reliance on past experiences. This type of AI is limited to scenarios covered in its rules and cannot predict the future. Reactive machines were developed to perform specific tasks like spam filters, or recommend movies on Netflix. This type of AI is a great accomplishment, but we need to keep in mind that very little human action is reactionary.
A broad definition of artificial intelligence would encompass a variety of tasks, but it would be more accurate to say that it is a subset of broader AI. Narrow AI examples are systems that do a specific task better than humans. For example, a weak AI system could identify a mass in a patient’s chest more accurately than a doctor trained in radiology. Other examples of narrow AI systems are self-driving cars and autonomous drones, and predictive maintenance platforms that use sensor data to forecast machine failures and repair times.
In order for an AI system to be deemed intelligent, it must perform multiple tasks equally well. For this, we need to understand how it works. While the Turing Test only tests how well an AI can … Read More