Natural Language Processing

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

Natural language processing (NLP) is a sub-field of linguistics, computer science, and artificial intelligence concerned with the interactions between computers and human language, in particular how to program computers to process and analyze large amounts of natural language data. In natural language processing, human language is separated into fragments so that the grammatical structure of sentences and the meaning of words can be analyzed and understood in context. This helps computers read and understand spoken or written in the same way as humans. As companies look for more efficient ways to provide value to their customers, natural language processing is providing an alluring solution. The power of NLP can be deceptively disruptive providing consumer empowerment in incremental stages.

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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