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  2. Network intelligence - Wikipedia

    en.wikipedia.org/wiki/Network_intelligence

    Network intelligence (NI) is a technology that builds on the concepts and capabilities of deep packet inspection (DPI), packet capture and business intelligence (BI). It examines, in real time, IP data packets that cross communications networks by identifying the protocols used and extracting packet content and metadata for rapid analysis of data relationships and communications patterns.

  3. Intelligent Network - Wikipedia

    en.wikipedia.org/wiki/Intelligent_Network

    The Intelligent Network ( IN) is the standard network architecture specified in the ITU-T Q.1200 series recommendations. [ 1] It is intended for fixed as well as mobile telecom networks. It allows operators to differentiate themselves by providing value-added services in addition to the standard telecom services such as PSTN, ISDN on fixed ...

  4. Artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence

    Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]

  5. Neural network - Wikipedia

    en.wikipedia.org/wiki/Neural_network

    A network is trained by modifying these weights through empirical risk minimization or backpropagation in order to fit some preexisting dataset. [ 5 ] Neural networks are used to solve problems in artificial intelligence , and have thereby found applications in many disciplines, including predictive modeling , adaptive control , facial ...

  6. Neural network (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Neural_network_(machine...

    A network is typically called a deep neural network if it has at least two hidden layers. [3] Artificial neural networks are used for various tasks, including predictive modeling, adaptive control, and solving problems in artificial intelligence. They can learn from experience, and can derive conclusions from a complex and seemingly unrelated ...

  7. Network security - Wikipedia

    en.wikipedia.org/wiki/Network_security

    Network security involves the authorization of access to data in a network, which is controlled by the network administrator. Users choose or are assigned an ID and password or other authenticating information that allows them access to information and programs within their authority. Network security covers a variety of computer networks, both ...

  8. Network science - Wikipedia

    en.wikipedia.org/wiki/Network_science

    Network science is an academic field which studies complex networks such as telecommunication networks, computer networks, biological networks, cognitive and semantic networks, and social networks, considering distinct elements or actors represented by nodes (or vertices) and the connections between the elements or actors as links (or edges ).

  9. Bayesian network - Wikipedia

    en.wikipedia.org/wiki/Bayesian_network

    A Bayesian network (also known as a Bayes network, Bayes net, belief network, or decision network) is a probabilistic graphical model that represents a set of variables and their conditional dependencies via a directed acyclic graph (DAG). [ 1] While it is one of several forms of causal notation, causal networks are special cases of Bayesian ...