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Artificial Intelligence Software
Artificial Intelligence (AI) software employs non numerical algorithms to resolve complex problems that are not amenable to computation or straight forward analysis. An active AI area is expert systems also known as knowledge-based systems. Though, other application areas for AI software are pattern recognition (image and voice) theorem proving and game playing. In recent years an innovative branch of AI software known as artificial neural networks, has developed. A neural network simulates the structure of brain processes (the functions of the biological neuron) and may finally lead to a new class of software that can find complex patterns and learn from previous experience.
Vector Processing A vector is an ordered set of the similar type of scalar data items. The scalar item can be a floating point number, a logical value or an integer. Vector pr
Common problem with Hill climbing: An alternative way of justifying the problem is that the states are boards with 8 queens already on them, so an action is a movement of one
Minimize the following logic function using K-maps and realize using NAND and NOR gates. F(A,B,C,D) =?_m(1,3,5,8,9,11,15) + d(2,13).
What is low-level formatting? Before a disk can store data, it must be divided into sectors that the disk controller can read and write. This process is known as low-level for
what is ardiuno explain its working
How non- textual information is contained in a web page? Non-textual information as digitized photo and a graphics image is not inserted directly into a HTML document. In place
The output of SR flip flop when S=1, R=0 is ? Ans. When for the SR flip-flop S=set i/p R=reset i/p, as S=1, R=0, Flip-flop will be set means output will be one.
Explain Performance Evaluation in parallel Computing In this section, we will discuss the key attributes used to measure performance of a computer system. The performance chara
The largest and the second largest number from a set of n distinct numbers can be found in O (n)
Learning algorithm for multi-layered networks: Furthermore details we see that if S is too high, the contribution from w i * x i is reduced. It means that t(E) - o(E) is mu
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