Artificial Intelligence enables machines to do tasks that usually require human intelligence. Major applications of Artificial Intelligence include expert systems, natural language processing, machine vision and speech recognition. Artificial Intelligence focuses on three primary cognitive skills, including self-correction, reasoning and learning.
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Learning Processes
The learning processes of Artificial Intelligence focuses on acquiring data and creating rules to turn data into actionable information. The algorithms provide step-by-step instructions to complete a specific task.
Reasoning Processes
The reasoning processes of Artificial Intelligence programming focuses on finding the correct algorithm to reach the desired outcome.
Self-correction Processes
The self-correction aspect of Artificial Intelligence programming focuses on continually fine-tuning algorithms in order to ensure the most accurate results possible.
Types Of Artificial Intelligence
There are mainly 4 types of Artificial Intelligence:
Reactive Machines
These type of Artificial Intelligence systems have no memory and are task-specific. These systems can only identify pieces of the task at hand and make predictions, but as it has no memory, it cannot use past experiences in order to make future predictions.
Limited Memory
These type of Artificial Intelligence systems have a memory so they can make future predictions based on past experiences. The decision-making function in self-driving cars is designed by using this type.
Theory of Mind
These type of Artificial Intelligence systems are based on the idea that the systems will have the social intelligence to understand emotions. This type of AI will be able to infer human intentions and predict behaviour, which is essential skills for machines to become integral members of the human race.
Self-awareness
These type of Artificial Intelligence systems don’t exist yet but if ever did, these type of AI will have a sense of self and will be self-aware about their current state.
Examples of Artificial Intelligence
Automation
Automation tools, when paired with Artificial Intelligence technologies, can expand the volumes and types of tasks performed. One of the examples is Robotics Process Automation (RPA)
Natural Language Processing
As the name suggests, Natural Language Processing involves the processing of human language by a computer program. One of the typical examples of Natural Language Processing is the speech recognition feature in our smartphones. It also includes spam detection, text translation and sentiment analysis.
Robotics
Robotics, as a field, focuses on the design and manufacturing of robots to perform tasks that are difficult for humans to perform. Not only Artificial Intelligence but researchers are also using Machine Learning to build robots that can interact in social settings.
Machine Vision
This type of technology gives machines the ability to see and capture visual information using analogue-to-digital conversion and digital signal processing. Machine Vision also enables a machine to see through walls, so they are used in a range of applications from medical image analysis to signature identification.
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