From our amazing brain and its inspiring design for artificial neural networks to the hope of artificial general intelligence (AGI), this feature film covers the science of emulating the power of our own brains. Will such technology surpass our own intelligence? Will we reach the Technological Singularity? And what will this mean for humanity?
Toward Singularity takes a look at how neuroscience is inspiring the development of artificial intelligence. Our amazing brain, one of the most complicated systems we know about, is inspiring the development of intelligent machines. Machines that may well surpass our own intelligence and could birth a new species on the planet.

Technology is defining the future of warfare, providing capabilities that were previously unreachable. Every technological leap redraws the battle lines we once knew. The future of warfare lies beyond battlefields to the uncharted reaches of outer space, and even to the digital realm.
In the first episode, artificial intelligence and autonomy are no longer just the field of science fiction; they are a key part of the fourth industrial revolution, and successfully harnessing the power of this new technology will be integral to the success of future warfare.

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?

Mind reading might sound like pseudoscientific, but its scientific counterpart, thought identification, is very much a real thing. It's based in neuroimaging and machine learning, and what's really cool is that experiments in mind reading aren't just about spying on what someone is thinking. They're about figuring out what thoughts are even made of.
When you think of something, what does that mental picture actually look like? What resolution is it in? How high fidelity is a memory, and how do they change over time? In this episode, we are going to look at how reading people's minds can help us answer these questions.

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.