UK steel can survive if it transforms itself, say researchers
15 April 2016A new report from the University of Cambridge claims that British steel could be saved, if the industry is willing to transform itself.
A new report from the University of Cambridge claims that British steel could be saved, if the industry is willing to transform itself.
A Cambridge-led project aiming to develop a new architecture for future computing based on superconducting spintronics - technology designed to increase the energy-efficiency of high-performance computers and data storage - has been announced.
Ed Bullmore (Department of Psychiatry) and Nicolas Crossley (King's College London) discuss their work trying to find out how sense of self is expressed in the brain.
Researchers have compiled the largest known library of bat calls to identify and conserve rare species in Mexico – a country which is home to many of the world’s bats and has one of the highest rates of species extinction and habitat loss.
From the plight of the Ethiopian Bush Crow, to representation of nature in Winnie the Pooh, to the extinction of ancient Latin American languages, the wide breadth of research connected with biodiversity conservation at the University of Cambridge is reflected in a series of films released today.
Overweight people make unhealthier food choices than lean people when presented with real food, even though both make similar selections when presented with hypothetical choices, according to research led by the University of Cambridge and published today in the journal eNeuro.
Hugh Hunt (Department of Engineering) discusses the intricacies of reusable spacecraft.
First ‘big data’ research approach to graduate earnings reveals significant variations depending on student background, degree subject and university attended.
Data from location-based social networks may be able to predict when a neighbourhood will go through the process of gentrification, by identifying areas with high social diversity and high deprivation.
Desislava Hristova (Computer Laboratory) discusses how data from location-based social networks can be used to predict when a neighbourhood will go through the process of gentrification.