With unlimited paper and pencils provided by the federal government, we had everything we needed except for a set of variously sided dice. It turned out that this was generally handled by making a spinner out of cardboard, a paperclip, and the empty internal plastic tube from an ink pen. This latter item is impaled loosely on the paperclip, itself positioned in the center of the cardboard, on which has been drawn a diminishing series of concentric circles divided into 20, 12, 10, 8, 6, and 4 equal segments, respectively.
Hi, I'm Fuzzy.
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Fab onboard clip of 1967 Formula one.
Carrying the old 1000W LED light bar underneath the Freefly Alta.
What would happen if the world were ending?
A catastrophic event renders the earth a ticking time bomb. In a feverish race against the inevitable, nations around the globe band together to devise an ambitious plan to ensure the survival of humanity far beyond our atmosphere, in outer space.
But the complexities and unpredictability of human nature coupled with unforeseen challenges and dangers threaten the intrepid pioneers, until only a handful of survivors remain . . .
Five thousand years later, their progeny—seven distinct races now three billion strong—embark on yet another audacious journey into the unknown . . . to an alien world utterly transformed by cataclysm and time: Earth.
A writer of dazzling genius and imaginative vision, Neal Stephenson combines science, philosophy, technology, psychology, and literature in a magnificent work of speculative fiction that offers a portrait of a future that is both extraordinary and eerily recognizable. As he did in Anathem, Cryptonomicon, the Baroque Cycle, and Reamde, Stephenson explores some of our biggest ideas and perplexing challenges in a breathtaking saga that is daring, engrossing, and altogether brilliant.
Statistical Machine Learning is a second graduate level course in advanced machine learning, assuming students have taken Machine Learning (10-715) and Intermediate Statistics (36-705). The course covers methodology and theoretical foundations.
Karun takes a look at what F1 will look like in 2017.