Artificial Intellegence

Artificial Intellegent


Contributor: Safira Amalia C.


Artificial Intelligence (AI), is defined as the intelligence of a scientific entity. Andreas Kaplan and Michael Haenlein define artificial intelligence as "the ability of the system to interpret external data correctly, to learn from that data, and to use that learning to achieve certain goals and tasks through flexible adaptation".

Intelligence is inserted into a machine (computer) in order to be able to do work as can be done by humans. Several types of fields that use artificial intelligence are expert systems, computer games, fuzzy logic, artificial neural networks and robotics.

AI is divided into two ideas, namely Conventional AI and Computational Intelligence (CI). Conventional AI mostly involves methods that are now classified as machine learning, which is characterized by formalism and statistical analysis. Also known as symbolic AI, logical AI, pure AI and GOFAI, Good Old Fashioned Artificial Intelligence. The methods include:

  1. Expert system: apply the capability of consideration to reach conclusions. An expert system can process a large amount of information that is known and provides conclusions based on these information.
  2. Case-based considerations
  3. Bayesian Network
  4. AI based on behavior: a modular method for manually establishing AI systems.

Computational intelligence involves iterative development or learning (eg, tuning parameters as in connectionist systems. This learning is based on empirical data and is associated with non-symbolic AI, irregular AI and soft calculations. The main methods include:

  1. Neural Network: a system with very strong pattern recognition capabilities
  2. Fuzzy systems: techniques to consider under uncertainty have been used extensively in modern industry and consumer product control systems.
  3. Evolutionary computing: applying biologically inspired concepts such as population, mutation and "survival of the fittest" to produce better problem solving.

These methods are mainly divided into evolutionary algorithms (eg genetic algorithms) and group intelligence (eg ant algorithms).

a hybrid intelligent system, experiments were made to combine these two groups. Expert inference rules can be generated through neural networks or production levels from statistical learning as in ACT-R. A promising new approach states that strengthening intelligence tries to achieve artificial intelligence in the process of evolutionary development as a side effect of strengthening intelligence through technology.

Examples of the application of Artificial Intelligence (AI) are not only in IT and technology, but many are also used in the fields of medical, business, education, law, and manufacturing.

9 examples of the application of AI that have been used today.

  1. Siri
  2. Siri is one of the most popular virtual personal assistants offered by Apple on the iPhone and iPad. Siri helps find information, get directions, send messages, make voice calls, open applications, and add events to the calendar. Siri uses machine learning technology to get natural language questions and requests that are smarter and able to understand.

  3. Tesla
  4. Tesla is a technology that eliminates human drivers. This is one of the best car technologies available today. This car has its own driving features, predictive capabilities, and absolute technological innovation.

  5. Cogito
  6. Cogito was originally made by Dr. Sandy and Joshua are one of the best examples of behavioral versions of artificial intelligence to improve company customer service. Cogito is used on millions of voice calls made every day. Examples of the application of Artificial Intelligence by analyzing human voice and providing guidance for providing maximum service.

  7. Netflix
  8. Netflix is a very popular content on demand service that uses predictive technology to offer recommendations based on reactions, interests, choices and consumer behavior. This technology checks from a number of records to recommend films based on your previous love and reaction. The only disadvantage of this technology is that the small film escapes attention while big films grow and spread on the platform.

  9. Pandora
  10. Pandora is also called music DNA. Depending on 400 musical characteristics, a team of expert musicians individually analyzes the song. This system is also good at recommending track records to recommend songs that have never been noticed, even though people like it.

  11. Nest Learning Thermostat (Google)
  12. The Nest Learning Thermostat uses behavioral algorithms to save energy based on your behavior and schedule. This uses a very intelligent machine learning process that studies the temperature you like and the program itself in about one week. In addition, it will automatically die to save energy, if no one is at home.

  13. Boxever
  14. Boxever is a company that relies heavily on machine learning to improve customer experience in the travel industry and deliver micro moments or experiences that can satisfy customers. Boxever significantly increases customer engagement through machine learning and artificial intelligence to organize the playing field, help customers find new ways and make unforgettable trips.

  15. Flying Drones
  16. Drones have sent products to customers' homes - even in trial mode. They show a powerful machine learning system that can translate environments into 3D models through sensors and video cameras. The sensor and camera can see the position of the drone in the room by connecting it to the ceiling. The track generation algorithm guides the drone about how and where to move. By using a Wi-FI system, we can control the drone and use it for specific purposes - product delivery, video making, or news reporting.

  17. Alexa
  18. Alexa was launched by Amazon, which is getting smarter and adding new features. This is a revolutionary product that can help you search for information on the web, manage appointments, shop, control lights, switches, thermostats, answer questions, read audiobooks, report traffic and weather, provide info about local businesses, provide sports scores and schedules, and others use Alexa voice service.

Some examples of the application of Artificial Intelligence are increasingly popular today, affecting the way of life, interacting and improving customer experience. There are still many products in the coming year with more improvement, development and implementation.

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