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Journeys in Space and Time

   1980    Science
Ideas about time and space are explored in the changes that constellations undergo over time, the redshift and blue shift measured in interstellar objects, time dilation in Albert Einstein's theory of relativity, the designs of both Leonardo da Vinci and spacecraft that could travel near light speed, time travel and its hypothetical effects on human history, the origins of the Solar System, the history of life, and the immensity of space. In Cosmos Update, the idea of faster-than-light travel by wormholes (researched by Kip Thorne and shown in Sagan’s novel Contact) is discussed.
Series: Cosmos

Transformers

   2018    Technology
In 1983 Hasbro bought the license of the Diaclone and Micro Change toys from Takara, then commissioned Marvel Comics to come up with a story-line and character names for the toys. The result: Transformers. Despite Tonka releasing the cheaper Gobots line six months earlier, Hasbro's Transformers took the toy market by storm in 1984, raking in US$150 million that year. At the peak of the toy line's popularity, The Transformers: The Movie hit theaters to further capitalize on its success, but the film polarized fans and collectors with the death of Optimus Prime and majority of the original characters. As Hasbro took full control of Transformers from Takara by the late 1980s, sales declined until the toy line was discontinued in 1991. After the failed Generation 2 reboot, Beast Wars rejuvenated the franchise in 1995.
In 2007, the live-action Transformers film solidified Transformers' position as Hasbro's flagship toy line.
Series: The Toys that Made Us

The Secret Life of Chaos

   2010    Science
Chaos theory has a bad name, conjuring up images of unpredictable weather, economic crashes and science gone wrong. But there is a fascinating and hidden side to Chaos, one that scientists are only now beginning to understand. It turns out that chaos theory answers a question that mankind has asked for millennia - how did we get here? In this documentary, Professor Jim Al-Khalili sets out to uncover one of the great mysteries of science - how does a universe that starts off as dust end up with intelligent life? How does order emerge from disorder? It's a mindbending, counterintuitive and for many people a deeply troubling idea. But Professor Al-Khalili reveals the science behind much of beauty and structure in the natural world and discovers that far from it being magic or an act of God, it is in fact an intrinsic part of the laws of physics. Amazingly, it turns out that the mathematics of chaos can explain how and why the universe creates exquisite order and pattern. And the best thing is that one doesn't need to be a scientist to understand it. The natural world is full of awe-inspiring examples of the way nature transforms simplicity into complexity. From trees to clouds to humans - after watching this film you'll never be able to look at the world in the same way again.

Waiting for Immortality

   2016    Medicine
Eternal life is humanity’s oldest dream. It may be finally coming true. Today, at least in the West, the quest for immortality has shifted from the metaphysical to the technical and the scientific. In this film we will investigate the advancement of this research in laboratories around the world. With cryonics technology improving, human cloning now possible, mind uploading and digital brain simulation thriving, reversing the aging of cells and organs feasible, immortality may seem right around the corner. In some countries, such as the US, Russia and Europe, private companies are financing and promoting the promise of immortality or at least a longer life expectancy. Are they selling a reality or utopia? We will meet scientists, neurophysiologists, computer specialists, geneticists, and biologists, and also hopefuls of immortal life, futurists, sociologists and businessmen. We will film different research laboratories and cities built for the aging; we will interview the experts as well as the anonymous men and women who speak about their relationship with life and death and those who simply embody it.

St Valentine Day Massacre

   2016    History
Al Capone moves back to Chicago and takes over two floors of the city's finest hotel, the Lexington. With a thriving business and Chicago politicians in his back pocket, Capone soon reaches a level of celebrity normally reserved for athletes and entertainers. As Capone's profile grows, he begins to indulge in all that the Roaring '20s have to offer, including cocaine. While Capone enjoys his reign at the top of the Chicago underworld, Irish gangster Bugs Moran seeks to take him down as revenge for the deaths of his partners Dean O'Banion and Hymie Weiss. On March 7, 1928, Moran orders a hit on one of Capone's top associates, Jack McGurn, the man who took out Hymie Weiss. McGurn survives but Capone decides to retaliate by taking out Moran and as many of his men as possible - all at once. On February 14, 1929, Capone's men dress as law enforcement and raid the liquor buy. They order Moran's men to face the wall for handcuffing, but while their backs are turned, Capone's men shoot all of them. Firing 70 rounds of ammunition in less than 10 seconds, the assassins carry out the biggest gangland hit in American history that will come to be known as the St. Valentine's Day Massacre. Through a stroke of luck, Moran avoids the massacre, but knows he's been defeated.
Series: The Making of the Mob

AlphaGo

   2017    Technology
With more board configurations than there are atoms in the observable universe, the ancient Chinese game of 'Go' has long been considered a grand challenge for artificial intelligence. On March 9, 2016, the worlds of Go and AI collided in South Korea for an extraordinary best-of-five-game competition, coined the Google DeepMind Challenge Match. Hundreds of millions of people around the world watched as a legendary Go master took on an unproven AI challenger for the first time in history.
AlphaGo chronicles a journey from the halls of Cambridge, through the backstreets of Bordeaux, past the coding terminals of DeepMind in London, and, ultimately, to the seven-day tournament in Seoul. As the drama unfolds, more questions emerge: What can artificial intelligence reveal about a 3000-year-old game? What can it teach us about human mind?