Cambridge researchers are pioneering a form of machine learning that starts with only a little prior knowledge and continually learns from the world around it.
Today we begin a month-long focus on research related to artificial intelligence. Here, four researchers reflect on the power of a technology to impact nearly every aspect of modern life – and why we need to be ready.
A group of researchers from the UK and the US have used machine learning techniques to successfully predict earthquakes. Although their work was performed in a laboratory setting, the experiment closely mimics real-life conditions, and the results could be used to predict the timing of a real earthquake.
An artificial intelligence system designed by researchers at the University of Cambridge is able to detect pain levels in sheep, which could aid in early diagnosis and treatment of common, but painful, conditions in animals.
Computers that learn for themselves are with us now. As they become more common in ‘high-stakes’ applications like robotic surgery, terrorism detection and driverless cars, researchers ask what can be done to make sure we can trust them.
“The best or worst thing to happen to humanity” - Stephen Hawking launches Centre for the Future of Intelligence19 Oct 2016
Artificial intelligence has the power to eradicate poverty and disease or hasten the end of human civilisation as we know it – according to a speech delivered by Professor Stephen Hawking this evening.
A web-based machine language system solves crossword puzzles far better than commercially-available products, and may help machines better understand language.
Nine of the 44 new Royal Society Fellows announced today are Cambridge academics. Their election to the Fellowship of the Royal Society recognises their exceptional contributions to society. As Fellows of the UK's national academy of science, these leaders in the fields of science, engineering and medicine join other famous Cambridge names such as Isaac Newton, Charles Darwin and Stephen Hawking.