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.
The digital revolution is one of the great social transformations of our time. How can we make the most of it, and also minimise and manage its risks? Jon Crowcroft and John Thompson discuss the challenges as we commence a month-long focus on ‘digital society’.
Dr Stephen Cave joins as Executive Director of the Leverhulme Centre for the Future of Intelligence.
The annual two-week Festival, which runs from 7 – 20 March and stages more than 300 events, examines the growing interaction between humans and technology.
Teaching machines to see: new smartphone-based system could accelerate development of driverless cars21 Dec 2015
Two technologies which use deep learning techniques to help machines to see and recognise their location and surroundings could be used for the development of driverless cars and autonomous robotics – and can be used on a regular camera or smartphone.
Fumiya Iida (Department of Engineering) discusses the "mother" robot he has built with his colleagues, and why reacting to developments in robotics with undue fear could stifle research and creativity.
The future of intelligence: Cambridge University launches new centre to study AI and the future of humanity03 Dec 2015
The University of Cambridge is launching a new research centre, thanks to a £10 million grant from the Leverhulme Trust, to explore the opportunities and challenges to humanity from the development of artificial intelligence.
Researchers have observed the process of evolution by natural selection at work in robots, by constructing a ‘mother’ robot that can design, build and test its own ‘children’, and then use the results to improve the performance of the next generation, without relying on computer simulation or human intervention.