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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.
What is called static and dynamic branch prediction? The branch prediction decision is always the similar every time a given instruction is implemented. Any approach that has t
Prolog: Still we can take our card game from the previous lecture like a case study for the implementation of a logic-based expert system. So there the rules were: four cards
Explain the working of Assembler? An assembler is the computer program for translating assembly language fundamentally a mnemonic representation of machine language into object
A 6-bit Dual Slope A/D converter uses a reference of -6V and a 1 MHz clock. It uses a fixed count of 40 (101000). Find Maximum Conversion Time. Ans. The time T 1 specifie
Q. Make a generalize program that performs r-ary subtraction on two numbers using (r-1)'s and r's complement? Use input and output files.
Q. Explain about RISC PIPELINING? Instruction pipelining is frequently used to increase performance. Let's consider this in context of RISC architecture. In case of RISC machin
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List the various file attributes. A file has certain other attributes, which differ from one operating system to another, but typically consist of these: Name, identifier, type
Explain the Power Dissipation characteristics for digital IC's. Ans. Power Dissipation: - It is amount of power dissipated in a digital IC. This is determined through
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