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Statistical AI, arising from machine learning, tends to be more concerned with "inductive" thought: given a set of patterns, make the trend. Classical AI, on the other hand, is more concerned with "deductive" thought: given a set of constraints, assume a conclusion
A system can't be truly intelligent without displaying properties of both inductive and deductive thought. This lends many to believe that in the end, there will be some part of synthesis of statistical and classical AI.
RISC-Means Reduced Instruction Set Computer. A RISC system has decreased number of instructions and more significantly it is load store architecture were pipelining can be executed
A combinational circuit has 3 inputs A, B, C and output F. F is true for following input combinations A is False, B is True A is False, C is True A, B, C
Difference between data warehousing and data mining The difference between data warehousing and data mining is that data warehousing shows to the data storage while data mining
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Q. Explain Register Addressing Mode? Operand can be a 16-bit register: Addressing Mode Description Example AX, BX, CX, DX, SI,
Q. Characteristics of input- output channels? The I/O channel represents an extension of DMA concept. An I/O channel has ability to execute I/O instructions that gives complete
write a program that counts the number of occurrences of the string in the n-th Padovan string P(n)
how does a ohms law c++ programming works
Throughput Throughput of a pipeline may be defined as number of results which have been achieved per unit time. It can be referred as: T = n / [m + (n-1)]. c = E / c Th
where can I find detailed explanation of 6 stage and 7 stage pipeline ??
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