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Artificial Intelligence

   2018    Technology
Zachary Quinto embarks on a journey to understand how artificial intelligence may already be a threat to humanity. He visits Facebook headquarters where he learns about a failed AI experiment where two chat boxes created a language that only they could understand. Zach also gets a firsthand look at the world's latest technology, including life-like dolls programmed with advanced AI, robots that learn and communicate telepathically, highly intelligent drones of war, and Uber self-driving cars.
Series: In Search of

T Rex Timeline

   2016    Science    HD
The Tyrannosaurus Rex is known as the king of the dinosaurs, but how did its reign begin? Meet Moros Intrepidus, a 180 lb., deer-sized ancestor to the T-Rex. Learn how the latest in palaeontology can now link this small dinosaur to the 19,000-pound Scotty, the largest T-Rex ever discovered.
We're filling in gaps in the history of well-known dinosaurs and we're finding specimens of even the most famous dinosaur that are telling us new things about their biology, about their growth, about their size, that we didn't know before. We are nowhere at the end of learning about dinosaurs and in generations to come, we will be knowing things about the lives of these ancient creatures that would probably blow our minds.

Can We Build a Brain

   2018    Technology    HD
Artificially intelligent machines are taking over. They’re influencing our everyday lives in profound and often invisible ways. They can read handwriting, interpret emotions, play games, and even act as personal assistants. They are in our phones, our cars, our doctors’ offices, our banks, our web searches... the list goes on and is rapidly growing ever longer. But how does today’s A.I. actually work—and is it truly intelligent? And for that matter, what is intelligence?
The world’s brightest computer programmers are trying to build brighter machines by reverse-engineering the brain and by inventing completely new kinds of computers, with exponentially greater speed and processing power. The documentary looks at how far we’ve come and where machines are headed as their software becomes ever more... cerebral. How close are we from a world in which computers take over—from diagnosing cancer to driving our cars to targeting weapons? If we place more and more of our lives under the control of these artificial brains, what are we putting at risk?
Series: Nova Wonders

The Joy of AI

   2018    Technology
Professor Jim Al-Khalili looks at how we have created machines that can simulate, augment, and even outperform the human mind - and why we shouldn't let this spook us. He reveals the story of the pursuit of AI, the emergence of machine learning and the recent breakthroughs brought about by artificial neural networks. He shows how AI is not only changing our world but also challenging our very ideas of intelligence and consciousness.
Along the way, we'll investigate spam filters, meet a cutting-edge chatbot, look at why a few altered pixels makes a computer think it's looking at a trombone rather than a dog and talk to Demis Hassabis, who heads DeepMind and whose stated mission is to 'solve intelligence, and then use that to solve everything else'. Stephen Hawking remarked 'AI could be the biggest event in the history of our civilisation. Or the worst'. Jim argues that AI is a potent new tool that should enhance our lives, not replace us.

Prediction By The Numbers

   2018    Science
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?
Reel Rock
Reel Rock

   2014    Culture
Motivation
Motivation

   2017    Culture
Hiroshima
Hiroshima

   2005    History
The Story of China
The Story of China

   2016    History
Breakthrough
Breakthrough

   2015    Medicine
Dangerous knowledge
Dangerous knowledge

   2007    Science
Catalyst
Catalyst

   2017    Science
Galapagos with David Attenborough
Galapagos with David Attenborough

   2013    Nature