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The Satanic Verses 30 Years On

   2019    Culture
The publication of Salman Rushdie's novel The Satanic Verses in 1988 sparked a culture war in Britain between those in the Muslim community, who considered the book blasphemous and called for the book to be banned, and those defending it as an expression of freedom of speech. Protests, which began in the north of England, soon spread across the UK and to the rest of the Islamic world, culminating in February 1989 with Iran's Ayatollah Khomeini issuing a fatwa - a death sentence on the writer.
Now, 30 years on, broadcaster and journalist Mobeen Azhar embarks on a journey, starting in his native Yorkshire where the protest first began, to examine the lasting effect the book has had on the Muslim community and how the events of 1989 continue to have an impact today.

The A.I. Race

   2018    Technology
Explore how Artificial Intelligence will change your job as new research shows how much of what you do could be done by robots. From truckers to lawyers & doctors, we bring affected workers face to face with AI experts. How can we prepare for the coming changes to the world economy? We are on the precipice of another technological transformation. The last industrial revolution turned society upside down. It ultimately delivered greater prosperity and many more jobs, as well as the eight hour day and weekends. But the transition was at times shocking and violent.
The question is, can we do better this time? We don't realize that the future is not inevitable. The future is the result of the decisions we make today. These technologies are morally neutral, they can be used for good or for bad. There's immense good things they can do, they can eliminate many disease, they can help eliminate poverty, they can tackle climate change. Equally, the technology can be used for lots of bad. It can be used to increase inequality,it can be used to transform warfare. It can be used to make our lives much worse. We get to make those choices.

Stephen Hawking Favorite Places II

   2018    Science    HD
Commander Stephen Hawking takes another journey in his space ship, the SS Hawking, this time to Venus, the Sun and out to the Eagle Nebula...but things don't always go according to the flight plan...
Series: Stephen Hawking's Favorite Places

The Invisible Universe

   2018    Science
It is one of the most unnerving discoveries in space science - that most of the universe is missing. We live in a material world, so instinctively we know what normal matter is - the world around us, the planets, stars and interstellar dust. But scientists currently estimate that 95 per cent of everything in the universe is actually - one way or another - invisible.
Some of this is ordinary matter that we just can't easily see. But there's also stuff that's much more weird. For instance, there's a new kind of matter we think is out there, but whose very existence is still largely hypothetical - dark matter. And most mysteriously of all, scientists think there is an unknown form of energy pervading the universe that we know so little about, all it has so far is a name - dark energy. Embark on a tour of this invisible universe, and shows how its existence - or lack of it - will define the fate of the entire universe.
Series: The Sky at Night

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?
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   2009    Art
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Inner Worlds Outer Worlds

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The Big Think

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Generation Iron

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How to Grow a Planet

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