Machine Learning

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Review all of the new disruptive technologies that you know, and take this opportunity to learn more about a technology that interests you!
In your report, you must discuss the following topics as related to the technology that you are researching:
1. A description of the technology, including:
o what it is, what it does, and a simple explanation of how it works
o a brief history
o what it promises to deliver to its consumers/users, i.e. the vision of the technology when it is fully realized.
2. The current state of the technology as opposed to its envisioned state, including current limitations, barriers etc.
3. What potential impacts does the technology have on consumers?
4. What potential impacts does the technology have on businesses?
5. Discuss a potential application of this technology that you believe will be the most disruptive to business or will have the most impact on society. Explain and support your selection

o Artificial Intelligence
1. What ethical considerations, if any, should be made regarding the subtopic of Artificial Intelligence which you are researching? Explain and justify.

Sample Solution

Machine learning is a sub-field of artificial intelligence, which is broadly defined as the capability of a machine to imitate intelligent human behavior. Artificial intelligence systems are used to perform complex tasks in a way that is similar to how humans solve problems. Machine learning was first conceived from the mathematical modeling of neural networks. A paper by logician Walter Pitts and neuroscientists Warren McCulloch, published in 1943, attempted to mathematically map out thought processes and decision making in human cognition. Machine learning will help us finally realize the promises of how to optimize and develop truly engaging and effective customer experiences.

at times supplanted by a quick n-bit convey spread viper. A n by n exhibit multiplier requires n2 AND doors, n half adders, and n2 , 2n full adders. The Variable Correction Truncated Multiplication technique gives a proficient strategy to re-ducing the power dissemination and equipment necessities of adjusted exhibit multipliers. With this strategy, the diagonals that produce the t = n , k least critical item pieces are disposed of. To make up for this, the AND doors that create the halfway items for section t , 1 are utilized as contributions to the changed adders in segment t. Since the k excess changed full adders on the right-hand-side of the cluster don’t have to create item bits, they are supplanted by adjusted decreased full adders (RFAs), which produce a convey, yet don’t deliver a total. To add the consistent that revises for adjusting mistake, k , 1 of the MHAs in the second column of the exhibit are changed to altered concentrated half adders (SHAs). SHAs are identical to MFAs that have an informat

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