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.
Despite being founded on ideals of freedom and openness, censorship on the internet is rampant, with more than 60 countries engaging in some form of state-sponsored censorship. A research project at the University of Cambridge is aiming to uncover the scale of this censorship, and to understand how it affects users and publishers of information
Smartphones and social media have made it easy for accidental witnesses “in the wrong place at the wrong time” to capture and share violations and crimes. But how can we tell what’s real and what’s fake?
The e-book has made continued inroads into the publishing world but the printed book has defied predictions of its death. Research by Professor John Thompson focuses on the challenges facing the publishing industry as it embraces the opportunities afforded by the digital revolution.
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.
New research suggests that a lack of remaining domain names with easy to remember – and consequently valuable – word combinations is restricting Internet growth, with an untapped demand of as much as 25% of all current domains being held back. The study’s author contends that the findings show ICANN’s release of new top level domains could prove a wise policy.
Technology to improve the security, speed and scale of data processing in age of the Internet of Things is being developed by a Cambridge spin-out company.
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.