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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.
what is robot?explain different types of robots with respect to joints.
DeMorgan's first theorem shows the equivalence of which logic gate ? Ans. DeMorgan's first theorem depicts the equivalence of NOR gate and Bubbled AND gate. For De Morgan's
Depth-first search is different from Breadth-first search in the following ways: A depth search traversal method goes to the deepest level of the tree first and then works up w
Strong AI makes the bold claim that computers can be made to think on a level (at least) equivalent to humans. Weak AI only states that some "thinking-like" features can be added t
Overfitted the data: Moreover notice that as time permitting it is worth giving the training algorithm the benefit of the doubt as more as possible. However that is, the error
Draw a circuit of an NMOS inverter and explain its operation
Your company is planning a party for employees, and you have been asked to set up a spreadsheet to track the attendees and to measure the associated cost. Every employee is permitt
Static memories Circuits capable of receiving their state as long as power is applied volatile Static RAM(SRAM)
pc register contains?
Define Process. Process: It is a program in execution; process execution should progress into sequential fashion. Process contains: program counter stack dat
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