The Fascinating World Of AI

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Artificial Intelligence is an interesting aspect of science that involves the simulation of human intelligence in machines. AI has grown significantly over the years, with quite a few AI devices embedded in various aspects of our lives. There are different projections of what AI will look like in the future; however, one common fact is that AI will continue to grow, and the application will become more sophisticated.

How AI is applied

The application of AI in various human interactions is becoming more common as different companies begin to pivot to the idea. Simply put, AI is simply human intelligence in a machine. However, Richard Welsh posited that AI systems only give optimal performance when fed with large data sets. This data set is prepared into a machine learning model to train the system. One of the companies that provide this training is

  • These companies provide
  • Data Transcription
  • Data sourcing
  • and also, Data De-identification

How AI works

The underworking of AI is quite simple to understand in its overall view. It involves feeding a program with a machine learning model. This program reads through this model and applies the logic in a real-life situation. For example, you can train a robot to recognize red color. Although the presentation is simple, the low-level workings are quite more complicated. This is the reason the growth is not as fast as expected.

  1. Process of creating an AI system
  2. Identify a problem
  3. Prepare learning model from data
  4. Train the algorithms
  5. Build systems

What are the basic components of artificial intelligence?

AI is composed of different components put together to make a working AI system. A common component is Machine Learning which is responsible for the ability of a system actually to learn. AI systems also consist of Neural Network, which is modelled after the neural connection of humans. This aids deep learning in a system. Other components include Cognitive Computing, Deep Learning, Natural Language Processing and Natural Language Processing

To identify an AI system, Bloomberg gave pointers on the attributes of common AI systems. They suggest that the system must be able to discover patterns from large data sets. Also, the system should have the ability to predict what will happen when certain actions are taken based on the logic in a learned dataset. Another attribute is that the interaction between the AI systems and humans must be believable (natural).

Frequently Asked Questions

What is an AI system?

An AI system performs tasks that require human intelligence, this is the reason for the name, Artificial Intelligence. These systems are trained using different real-life scenarios compiled into a machine learning model to help the system reason like humans when faced with such scenarios.

Can artificial intelligence compete with human intelligence?

There is a possibility of this happening; however, it has not been scientifically proven. Humans reason without the boundary of logic which makes us adapt faster. However, AI systems on a large data set and the ability of its neural network to adapt.

What are the main AI technologies?

The main AI technologies include speech recognition- sometimes used for transcribing videos, image recognition, biometrics, robotics automation and marketing automation, to name a few. These technologies are used by several companies in capacities such as chatbots on websites, product recommendations, and self-driving vehicles.