Science fiction has long anticipated the rise of machine intelligence. Today, a new generation of self-learning computers is reshaping every aspect of our lives. Incomprehensible amounts of data are being collected, interpreted, and fed back to us in a tsunami of apps, smart devices, and targeted advertisements. Virtually every industry on earth is feeling this transformation, from job automation to medical diagnostics, from elections to battlefield weapons. Do You Trust This Computer? explores the promises and perils of this developing era. Will A.I. usher in an age of unprecedented potential, or prove to be our final invention?
Predictions underlie nearly every aspect of our lives, from sports, politics, and medical decisions to the morning commute. With the explosion of digital technology, the internet, and 'big data,' the science of forecasting is flourishing. But why do some predictions succeed spectacularly while others fail abysmally? And how can we find meaningful patterns amidst chaos and uncertainty? From the glitz of casinos and TV game shows to the life-and-death stakes of storm forecasts and the flaws of opinion polls that can swing an election, 'Prediction by the Numbers' explores stories of statistics in action. Yet advances in machine learning and big data models that increasingly rule our lives are also posing big, disturbing questions. How much should we trust predictions made by algorithms when we don't understand how they arrive at them? And how far ahead can we really forecast?
Launched in 1982 by three friends in a Houston diner, Compaq Computer set out to build a portable PC to take on IBM, the world's most powerful tech company. Many had tried cloning the industry leader's code, only to be trounced by IBM and its high-priced lawyers. 'Silicon Cowboys' explores the remarkable David vs. Goliath story, and eventual demise, of Compaq, an unlikely upstart who altered the future of computing and helped shape the world as we know it today. Directed by Oscar (R)-nominated director Jason Cohen, the film offers a fresh look at the explosive rise of the 1980's PC industry and is a refreshing alternative to the familiar narratives of Jobs, Gates, and Zuckerberg.
Since 2010, Artificial Intelligence is revolutionized by deep learning, neural networks that discern complex patterns in huge quantities of data and react in real time. A.I. is a primal force, like fire. The same fire that warms us can incinerate our homes; A.I. could enslave mankind -- or, join us in a grand alliance to reach the stars.
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