Cambridge and Nanjing break ground on 'smart cities' Centre
10 September 2019̽»¨Ö±²¥ ̽»¨Ö±²¥ of Cambridge and the Nanjing Municipal Government have broken ground on the Cambridge ̽»¨Ö±²¥-Nanjing Centre of Technology and Innovation.
̽»¨Ö±²¥ ̽»¨Ö±²¥ of Cambridge and the Nanjing Municipal Government have broken ground on the Cambridge ̽»¨Ö±²¥-Nanjing Centre of Technology and Innovation.
Researchers from the ̽»¨Ö±²¥ of Cambridge are working with Jaguar Land Rover to develop next-generation head-up display technology that could beam real-time safety information in front of the driver, and allow passengers to stream 3D movies directly from their seats as part of a shared, autonomous future.
±Ê±ð°ù³¦²âÌýByssheÌý³§³ó±ð±ô±ô±ð²â’sÌý ̽»¨Ö±²¥Mask of Anarchy, the most celebrated literary response to the Peterloo massacre – which has its bicentenary on 16 August – drew on accounts of the tragedy written by the radical journalist and freethinker, Richard Carlile.
Dr Anita Faul is a Teaching Associate at the Cavendish Laboratory and a Fellow of Selwyn College, where she specialises in algorithms. Here, she tells us about what it's like to teach at Cambridge and whether we can trust the answers that computers give us.Â
Researchers have found that certain organic semiconducting materials can transport spin faster than they conduct charge, a phenomenon which could eventually power faster, more energy-efficient computers.Â
A recent ̽»¨Ö±²¥ of Cambridge spin-out company, Paragraf, has started producing graphene – a sheet of carbon just one atomic layer thick – at up to eight inches (20cm) in diameter, large enough for commercial electronic devices.Â
We celebrate the students who are .
Members of collegiate Cambridge have been recognised for their outstanding contributions to society
Researchers have pinpointed the date of what could be the oldest solar eclipse yet recorded. ̽»¨Ö±²¥event, which occurred on 30 October 1207 BC, is mentioned in the Bible and could have consequences for the chronology of the ancient world.Â
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.Â