Students from the UK’s top cyber security universities will compete in Cambridge this weekend, in part to address the country’s looming cyber security skills gap.
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.
Martin Kleppmann (Computer Laboratory) discusses how vulnerable security technologies really are, and how these vulnerabilities could be exploited by both law enforcement and criminals.
A web-based machine language system solves crossword puzzles far better than commercially-available products, and may help machines better understand language.
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.
What power can individuals have over their data when their every move online is being tracked? Researchers at the Cambridge Computer Laboratory are building new systems that shift the power back to individual users, and could make personal data faster to access and at much lower cost.
Cambridge computer scientists have established a new gold standard for open research, in order to make scientific results more robust and reliable.