Artificial Intelligence (AI)

Artificial intelligence (AI) is a field of computer science that emphasizes the creation of intelligent machines that behave and respond like human beings. Some computers with artificial intelligence are designed to include the following.

Artificial intelligence is a field of computer science aimed at creating intelligent machines. It has become an important part of the technology industry

Research on artificial intelligence is very technical and professional. The central problem of artificial intelligence includes computer programming for specific functions such as:

Knowledge engineering is the core part of artificial intelligence research. Only when there is abundant information on the world, the machine can act like a human being and respond. Artificial intelligence must be able to access all objects, categories, attributes, and relationships in order to implement knowledge engineering. The ability to initiate common sense, reasoning and problem solving on machines is a difficult and cumbersome task.

Machine learning is also the core part of AI. Unsupervised learning needs to be able to identify patterns of input streams, but supervised learning requires classification and numerical regression. Classification determines the category to which the object belongs and the regression process obtains a set of digital inputs or output examples and finds the ability to generate the appropriate output from each input. Mathematical analysis of machine learning algorithms and their performance is a well-defined field of theoretical computer science, commonly referred to as computational learning theory.

Machine recognition processing uses sensory inputs to infer the power of various aspects of the world. On the other hand, computer vision is a function to analyze visual input including sub-problems such as face, object, gesture recognition.

Robotics engineering is also a major area of ​​AI. The robot has intelligence for handling tasks such as object manipulation and navigation, and secondary problems of localization, motion planning, mapping.

A new field of distributed artificial intelligence (AI) is becoming one of the most exciting technology trends in the past few months. The potential value of the intersection of artificial intelligence (AI) and block chain technology is written many times, and this year we have even a meeting devoted to topics of distributed artificial intelligence. However, many propaganda behind distributed artificial intelligence do not highlight some of the important value propositions of the new technology movement, which is one of the most basic technical trends of the decade It may become one. I believe that decentralized artificial intelligence will be an important factor in leading machine intelligence to descendants if you believe that artificial intelligence will become an increasingly influential factor in our lives. Does it sound dramatic? Let's look at some of the economic dynamics behind distributed artificial intelligence.

Welcome to the first of the 5 series series on AI and AI - Use the actual intelligence (ai) to fight the hype of artificial intelligence (AI) by the government. This week we will examine how the Canadian government uses artificial intelligence (AI) and existing or newly emerging information management and information technology (IM - IT) governance framework address artificial intelligence challenges I will explore how to do it. This is the easiest category for Canadian public and at the beginning it will be the most controversial category. Of course, harmless uses such as chat bots and automatic responses are only useful for most user experiences. As Canadian digital services drives the Canadian government to promote more modern service delivery, the AI ​​user support function will be the standard front line model