An algorithm which models how proteins inside cells interact with each other will enhance the study of biology, and sheds light on how proteins work together to complete tasks such as turning food into energy.
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.
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.
Visual data will revolutionise the way companies talk to their customers, according to researchers at the Cambridge Judge Business School.
Measuring autistic traits in just under half a million people reveals that your sex, and whether you work in a STEM (science, technology, engineering or mathematics) job, predict how many autistic traits you have, according to new research published in the journal PLOS ONE.
Analysing graduate earnings using anonymous administrative data can show how earnings vary for graduates and indicate which skills are in short supply, says Cambridge education professor Anna Vignoles.
Anna Vignoles (Faculty of Education), together with colleagues at the Institute for Fiscal Studies and Harvard University, authors a study that finds women with degrees earn three times as much as non-graduates within a decade of leaving university.
A space mission to create the largest, most-accurate, three-dimensional map of the Milky Way is celebrating its first completed year of observations.