#TechWeek: Artificial Intelligence (AI)

Examples of AI:

Intelligence comes in many forms and has many different aspects, at this time we have different types of AI that are good at different subsets of intelligence.

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Machine Learning:

ML is an application of AI that provides systems the ability to learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it to learn for themselves.
Natural Language Processing:

NLP is the ability of a computer program to understand human language as it is spoken. NLP is a component of artificial intelligence (AI).
Expert Systems:

An expert system is a computer system that emulates the decision-making ability of a human expert. They are designed to solve complex problems by reasoning through bodies of knowledge, represented mainly as if-then rules rather than through conventional code.
Computer vision:

Is an interdisciplinary scientific field that deals with how computers can gain a high-level understanding of digital images or videos.
Speech recognition:

Speech Recognition is a technology that can recognize spoken words, which can then be converted to text. A subset of speech recognition is voice recognition, which is the technology for identifying a person based on their voice.
Planning:

It explores the process of using autonomous techniques to solve planning and scheduling problems. A planning problem is one in which we have some initial starting state, which we wish to transform into the desired goal state through the application of a set of actions.
Robotics:

Robotics is a branch of AI, which is composed of Electrical Engineering, Mechanical Engineering, and Computer Science for designing, construction, and application of robots.
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