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  2. Multicast - Wikipedia

    en.wikipedia.org/wiki/Multicast

    Multicast. In computer networking, multicast is a type of group communication where data transmission is addressed to a group of destination computers simultaneously. [1] Multicast can be one-to-many or many-to-many distribution. [2][3] Multicast differs from physical layer point-to-multipoint communication.

  3. IP multicast - Wikipedia

    en.wikipedia.org/wiki/IP_multicast

    Technical description. IP multicast is a technique for one-to-many and many-to-many real-time communication over an IP infrastructure in a network. It scales to a larger receiver population by requiring neither prior knowledge of a receiver's identity nor prior knowledge of the number of receivers. Multicast uses network infrastructure ...

  4. Multicast address - Wikipedia

    en.wikipedia.org/wiki/Multicast_address

    A multicast address is a logical identifier for a group of hosts in a computer network that are available to process datagrams or frames intended to be multicast for a designated network service. Multicast addressing can be used in the link layer (layer 2 in the OSI model), such as Ethernet multicast, and at the internet layer (layer 3 for OSI ...

  5. Biological computing - Wikipedia

    en.wikipedia.org/wiki/Biological_computing

    Biological computers use biologically derived molecules — such as DNA and/or proteins — to perform digital or real computations. The development of biocomputers has been made possible by the expanding new science of nanobiotechnology. The term nanobiotechnology can be defined in multiple ways; in a more general sense, nanobiotechnology can ...

  6. Bio-inspired computing - Wikipedia

    en.wikipedia.org/wiki/Bio-inspired_computing

    Bio-inspired computing, short for biologically inspired computing, is a field of study which seeks to solve computer science problems using models of biology. It relates to connectionism, social behavior, and emergence. Within computer science, bio-inspired computing relates to artificial intelligence and machine learning.

  7. Bioinformatics - Wikipedia

    en.wikipedia.org/wiki/Bioinformatics

    Bioinformatics uses biology, chemistry, physics, computer science, computer programming, information engineering, mathematics and statistics to analyze and interpret biological data. The subsequent process of analyzing and interpreting data is often referred to as computational biology, though the distinction between the two terms is often ...