Fly across iridescent tropical reefs, brush through a cloud of a million jellyfish, visit an alien world where the closer you look, the more you see, where the tiniest creatures support the greatest predators... We think of reefs as exotic, distant places with little or no connection to our everyday world. Yet every reef is a living city beneath the sea with a parallel existence to ours, distant yet undeniably connected. Reefs are hotspots of biodiversity as vital to life on earth as the rain-forests. They have been shaping our shorelines, literally forming islands and mountains, for millions of years. The fossil record shows that given time they have recovered from all of earth's major extinction events. Even reefs pulverised by atomic blasts at Bikini Atoll have regenerated. Yet within our lifetime reefs have come to face their greatest threat...

Just 92 elements made up the world, but the belief that were only four - earth, fire, air and water - persisted until the 19th Century. Professor Al-Khalili retraces the footsteps of the alchemists who first began to question the notion of the elements in their search for the secret of everlasting life.He reveals the red herrings and rivalries which dogged scientific progress, and explores how new approaches to splitting matter brought us both remarkable elements and the new science of chemistry.

George Michael is honored in a fine documentary released in October 2017, a film he wrote and directed and supervised about his life in show business before his death on Christmas Day 2016. The film was completed under David Austin's direction. The movie is a frank and honest account of George Michael's professional life and career. Though the film, various artists add to the narrative – Tony Bennett, Mary J. Blige, Emmanuelle Alt, Naomi Campbell, Ricky Gervais, Elton John, Liam Gallagher, Cindy Crawford, Jean-Paul Gaultier, Kate Moss Nile Rodgers, James Corden, Stevie Wonder, and many others.
The film highlights conversations with Michael, his crisis with Sony, his 'coming out' as a gay man, his driving force to be the best performer and songwriter ever known, his many successful videos and clips from live performances and much, much more. This is a very beautifully made film, steaming with love from Michael and from his many fans, and filled with information about the positive impact he made on the world. Completely entertaining and a fine tribute to an enormously gifted artist.

The 24th July 2010... 80,000 Lives... 4,500 Hours of Footage... 2 Award winning Filmmakers... Now one incredible motion picture event. What began life as a startling cinematic experiment becomes the must see movie experience. Created entirely from footage uploaded by YouTube users, Life in a Day is a film first: exhilarating, moving and very, very funny. It is the story of our world. Told by us. Ridley Scott produced the film and edited the videos into a film with director Kevin Macdonald and film editor Joe Walker

Without us noticing, modern life has been taken over. Algorithms run everything from search engines on the internet to satnavs and credit card data security - they even help us travel the world, find love and save lives. Professor Marcus du Sautoy demystifies the hidden world of algorithms. By showing us some of the algorithms most essential to our lives, he reveals where these 2,000-year-old problem solvers came from, how they work, what they have achieved and how they are now so advanced they can even programme themselves.

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?