We explained in a previous article entitled Artificial Intelligence and its Uses Driving factors for the adoption of artificial intelligence. Today we will discuss the types and fields of artificial intelligence. Artificial intelligence is a scientific field that aims to develop machines and programs that can perform tasks that require intelligence by humans.
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| Artificial intelligence its types and fields |
Some of these tasks are: recognizing images and sounds, communicating in natural language, learning from data, making decisions, and solving problems. Artificial intelligence has a significant impact on various areas of human life - such - as medicine, education, security, art, and entertainment.
Artificial intelligence can be classified into several types according to its degree of similarity to human intelligence. The most prominent of these types are:
Weak artificial intelligence
It is a type of artificial intelligence that performs one well-defined task and cannot think or deal with other tasks. An example of this type is a voice assistant such as Siri or Cortana.
Average artificial intelligence
It is a type of artificial intelligence that performs a group of related tasks and can learn and improve through experience. An example of this type is a self-driving car.
Strong artificial intelligence
It is a type of artificial intelligence that performs any task that a human can perform and can think, create, perceive, and react. This genre has not yet been realized in reality, but there are some imaginings of it in science fiction films and novels.
So, we can say that artificial intelligence is a leading and advanced field in the world of tech and that it has many benefits and challenges. If you want to learn more about this field, you can use Bing to search for reliable and useful sources.
More sites use artificial intelligence in different fields, such as:
- Replica website: It is a website that allows you to create a virtual friend who speaks to you with artificial intelligence, and you can customize his personality, appearance, and name. This website aims to provide a companion to people who feel lonely or need to talk to someone.
- Akinator website: It is a website that challenges your thinking abilities, as it asks you to think about a real or fictional character, and then asks you a series of questions to try to guess it. This site uses an intelligent algorithm based on a huge database of characters and questions.
- Grammarly website: It is a website that helps you improve your writing, as it corrects spelling, grammatical, and morphological errors, and provides you with suggestions to make your writing clearer and more elegant. This site uses artificial intelligence technology to understand and analyze the context of your writing.
- DeepL website: It is a website that provides an artificial intelligence translation service, where you can translate texts or words to and from several languages, such as English, French, German, Spanish, and others. This site uses deep neural networks to produce accurate and natural translations.
Examples of artificial intelligence
AI technology takes many forms, from chatbots to navigation apps and wearable fitness trackers. The examples below illustrate the breadth of potential AI applications.
ChatGPT
ChatGPT is an AI chatbot capable of producing written content in a range of formats, from articles to code and answers to simple questions. Launched in November 2022 by OpenAI, ChatGPT is powered by a large language model that allows it to closely mimic human typing. ChatGPT will also become available as a mobile app for iOS devices in May 2023 and for Android devices in July 2023.
Google Maps
Google Maps uses location data from smartphones, as well as user-reported data about things like construction and car crashes, to monitor the ebb and flow of traffic and evaluate the quickest route.
Smart Assistants
Personal assistants like Siri, Alexa, and Cortana use natural language processing, or NLP, to receive instructions from users to set reminders, look up information online, and control the lights in people's homes. In many cases, these assistants are designed to learn a user's preferences and improve their experience over time with better suggestions and more personalized responses.
Snapchat filters
Snapchat filters use ML algorithms to differentiate between the subject of a photo and the background, tracking facial movements and adjusting the image on the screen based on what the user is doing.
Self-driving cars
Self-driving cars are a clear example of deep learning, because they use deep neural networks to detect objects around them, determine their distance from other cars, identify traffic lights, and much more.
