Difference between revisions of "User:Yl218"

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Articles I have found on [[ http://pundit.pratt.duke.edu/wiki/Grand_Challenges_for_Engineering | Grand Challenges for Engineering]]:  
 
Articles I have found on [[ http://pundit.pratt.duke.edu/wiki/Grand_Challenges_for_Engineering | Grand Challenges for Engineering]]:  
 
*[http://www.wired.com/gadgetlab/2010/08/reverse-engineering-brain-kurzweil/ Reverse-Engineering of Human Brain Likely by 2030, Expert Predicts], Priya Ganapati, Wired, updated 16 August 2010, accessed 9 September 2012 (Reverse-Engineer the Brain)
 
*[http://www.wired.com/gadgetlab/2010/08/reverse-engineering-brain-kurzweil/ Reverse-Engineering of Human Brain Likely by 2030, Expert Predicts], Priya Ganapati, Wired, updated 16 August 2010, accessed 9 September 2012 (Reverse-Engineer the Brain)
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==MATLAB Demonstrations==
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My favourite demonstration would be that of the Traveling Salesman. It is interesting to see how the program figures the 'answer' out at different speeds, contingent on the number of cities selected in the demonstration. There is a similarity to the human brain in that it charts out a 'general path' that is close to the shortest traveling distance between cities. Subsequently, it tweaks its route slowly as it approaches the solution to the problem. It displays the potential of the MATLAB system and its uses and applicability in 'everyday life' (i.e. its application in our lives).

Latest revision as of 16:29, 9 September 2012

About Me

Lee Yu Zhou was born in the sunny Island of Singapore a few years ago. After applying for college, he has found himself in Duke University, deciding between Electrical and Computer Engineering, Economics with Finance Concentration and Computer Science.

Name Pronounciation

You have to hear me say it to know it. Otherwise, it may mean Fish Porridge, or the Universe.

Grand Challenges for Engineering Articles

Articles I have found on [[ http://pundit.pratt.duke.edu/wiki/Grand_Challenges_for_Engineering | Grand Challenges for Engineering]]:

MATLAB Demonstrations

My favourite demonstration would be that of the Traveling Salesman. It is interesting to see how the program figures the 'answer' out at different speeds, contingent on the number of cities selected in the demonstration. There is a similarity to the human brain in that it charts out a 'general path' that is close to the shortest traveling distance between cities. Subsequently, it tweaks its route slowly as it approaches the solution to the problem. It displays the potential of the MATLAB system and its uses and applicability in 'everyday life' (i.e. its application in our lives).