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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.
Question: (a) Primary and secondary memory differs in their way they access data: (i) Mention the four generic access methods usually present in a computer system. (ii) E
RAW and WAW - Data hazards: RAW (read after write) - j tries to read a source before i writes it, hence j wrongly gets the old value .This is the most usual type of
Example of ANN - artificial intelligence: ANNs look like this: Notice that the x, w, z and y represent actual valued weights and that every the edges in this graph
what is panning
prepare FTR
Tell me which queue having present queue depth should be greater than zero? Ans) Event queues Open MQ Explorer by selecting Start > Programs > IBM WebSphere MQ > WebSphere
Words having 8-bits are to be stored into computer memory. The number of lines required for writing into memory are ? Ans. 8-bit words needed 8 bit data lines.
Explain the application of E-Commerce in Home Banking. Home Banking: E-commerce is employed in Home Banking like one call or one click. Internet banking or online bank
Design issues: To complete the maximum processor utilization in a multithreaded architecture, the following design issues have to be addressed: Context Switching time: S
Differentiate the latch and flip-flop? The major difference between latch and FF is which latches is level sensitive whereas FF is edge sensitive. They both need the use of clo
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