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Neural architectures are appealing as mechanisms for implementing intelligence for a number of reasons. Traditional AI programs tend to be brittle and overly sensitive to noise rather than degrading gracefully such programs tend to either be right or fail completely. Neural architectures because they capture knowledge in a large number of fine grained units. Seem to have more potential for partially matching noisy and incomplete data. Neural architectures are also more robust because knowledge is distributed somewhat uniformly around the network.
Q. Show MPI functions? MPI comprises hundreds of functions which are a small subset of which is enough for most practical purposes. We will discuss some of them here. Int M
What is a demultiplexer? Ans: Demultiplexer: This is a logic circuit which accepts one data input and distributes this over some outputs. This has one data input, m selec
What is Fork swap? "Fork ()" is a system call to make a child process. When the parent process calls "fork()" system call, the child process is formed and if there is short of
Communication displays give support in determining the frequency of communication, whether congestion in message queues or not, volume and the type of patterns being communicated e
Question: (a) (i) Explain what do you understand by Client/server architecture? (ii) List and briefly describe 3 types of Client/server architecture. (b) The most impo
Should validation (did the user enter a real date) occur server-side or client-side? Why? Validation will be done in both sides i.e., at the server side and client side. Ser
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The total number of class of IP address are? The total number of class of IP addresses are 5.
Q. What is a DSS and Describe its components? A decision support system (DSS) is a highly flexible and interactive IT system that is designed to support decision making when t
The Concept of Parallel Execution and Concurrent Real world systems are obviously concurrent, and computer science is about modelling the actual world. Examples of actual worl
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