Claude Shannon demonstrate an electro-mechanical mouse that navigates a labyrinth, computes and remembers the optimal path. (Bell Labs, 1950s)
tags: innovation, science, technology, lunchtalk, BUS239
I use this blog to gather information and thoughts about invention and innovation, the subjects I've been teaching at Stanford University Continuing Studies Program since 2005. The current course is Principles of Invention and Innovation (Summer '17). Our book "Scalable Innovation" is now available on Amazon http://www.amazon.com/Scalable-Innovation-Inventors-Entrepreneurs-Professionals/dp/1466590971/
a discussion of why now is the right time to be thinking about this new technology and some of the recent developments that have been made, laying the groundwork for the future of this computing model.
Seventy thousand years ago, our human ancestors were insignificant animals, just minding their own business in a corner of Africa with all the other animals. But now, few would disagree that humans dominate planet Earth; we've spread to every continent, and our actions determine the fate of other animals (and possibly Earth itself). How did we get from there to here? Historian Yuval Noah Harari suggests a surprising reason for the rise of humanity.
In A Mind for Numbers, Dr. Oakley lets us in on the secrets to effectively learning math and science—secrets that even dedicated and successful students wish they’d known earlier. Contrary to popular belief, math requires creative, as well as analytical, thinking. Most people think that there’s only one way to do a problem, when in actuality, there are often a number of different solutions—you just need the creativity to see them. For example, there are more than three hundred different known proofs of the Pythagorean Theorem. In short, studying a problem in a laser-focused way until you reach a solution is not an effective way to learn math. Rather, it involves taking the time to step away from a problem and allow the more relaxed and creative part of the brain to take over.