exploring the interconnectedness of everything
Also it is important to point out that algorithms are not just used in Computing Sciences but are a mathematical entity. In fact the first recorded mathematical algorithms that we have date from 1600 BC — Babylonians develop earliest known algorithms for factorization and finding square roots. So here we have the first problem with the post mentioned before, it treats algorithms as computing entities, but if you take the formal meaning of the word the real top 10 algorithms that rule the world can be found in a book of arithmetic (addition, subtraction, product, etc). But lets take computing algorithms as our definition of algorithm in this post, so the question remains: Which are the 10 algorithms that rule the world? Here I’ve put together a little list, in no particular order.

The real 10 algorithms that dominate our world — Medium

Does it make sense to talk about “rational people”? That is, is there a sub-population of individuals who consistently exhibit less cognitive bias and better judgment under uncertainty than average people? Do these people have the dispositions we’d intuitively associate with more thoughtful habits of mind? (Are they more flexible and deliberative, less dogmatic and impulsive?) And, if so, what are the characteristics associated with rationality? Are rational people more intelligent? Do they have distinctive demographics, educational backgrounds, or neurological features? This is my attempt to find out what the scientific literature has to say about the question. (Note: I’m going to borrow heavily from Keith Stanovich, as he’s the leading researcher in individual differences in rationality. My positions are very close, if not identical, to his, though I answer some questions that he doesn’t cover.)

Do Rational People Exist? | Otium

Robert McKee’s Story Seminar
Robert McKee live in NY discussing the “Education Plot”

Top Hacker Shows Us How It’s Done: Pablos Holman at TEDxMidwests
You think your wireless and other technology is safe? From Blue Tooth to automobile remotes, PCs, and “secure” credit cards, Hacker extraordinaire shows how nearly every secure system is vulnerable. In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.* (*Subject to certain rules and regulations)

Complexity a Guided Tour - Melanie Mitchell
Melanie Mitchell is Professor of Computer Science at Portland State University, and External Professor and Member of the Science Board at the Santa Fe Institute. She attended Brown University, where she majored in mathematics and did research in astronomy, and the University of Michigan, where she received a Ph.D. in computer science, Her dissertation, in collaboration with her advisor Douglas Hofstadter, was the development of Copycat, a computer program that makes analogies. She has held faculty or professional positions at the University of Michigan, the Santa Fe Institute, Los Alamos National Laboratory, the OGI School of Science and Engineering, and Portland State University. She is the author or editor of five books and over 70 scholarly papers in in the fields of artificial intelligence, cognitive science, and complex systems. Her most recent book, Complexity: A Guided Tour, published in 2009 by Oxford University Press, is the winner of the 2010 Phi Beta Kappa Science Book Award. It was also named by Amazon.com as one of the ten best science books of 2009, and was longlisted for the Royal Society’s 2010 book prize. Hear a radio interview with the speaker here: http://bit.ly/15nd4jn

Fractals - Hunting The Hidden Dimension [Full - Hd 720p]

REBELLIOUS ECONOMICS STUDENTS HAVE A POINT

Statistical Mechanics Lecture 1
(April 1, 2013) Leonard Susskind introduces statistical mechanics as one of the most universal disciplines in modern physics. He begins with a brief review of probability theory, and then presents the concepts of entropy and conservation of information. Originally presented in the Stanford Continuing Studies Program. Stanford University: http://ift.tt/iO5YFD Continuing Studies Program: http://ift.tt/sn9DBp Stanford University Channel on YouTube: http://ift.tt/q8njEE