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Training the artificial intelligence models that underpin web search engines, power smart assistants and enable driverless cars, consumes megawatts of energy and generates worrying carbon dioxide emissions. But new ways of training these models are proven to be greener.  

̽»¨Ö±²¥project will use machine learning to sequence the world’s regulatory text and create an open-source repository of machine-readable regulatory information. 

Arm is working with Cambridge researchers to make our phones and computers more secure, more efficient and ready for the digital revolution.

Researchers at the Cambridge Cybercrime Centre have revealed what they’ve learned from analysing hundreds of thousands of illicit trades that took place in an underground cybercrime forum over the last two years.

Six Cambridge researchers are among the latest recipients of European Union awards given to early-career researchers.

Wearable devices will play an important part in the healthcare delivery of the future. Cambridge and Nokia Bell Labs are working together to build the foundations for these transformative new technologies. 

A new initiative at Cambridge will equip young researchers outside computer science with the skills they need to use machine learning and artificial intelligence techniques to power their research.

Take extra care before buying face masks or testing kits online, or responding to texts apparently sent to you by the UK Government or the NHS. Because while lockdown has helped reduce the spread of the coronavirus, it is also helping fuel a rise in cybercrime.

A new partnership between Aviva and Cambridge is asking what do advances in technology and data science mean for the future of insurance?

A new app, which will be used to collect data to develop machine learning algorithms that could automatically detect whether a person is suffering from COVID-19 based on the sound of their voice, their breathing and coughing, has been launched by researchers at the ̽»¨Ö±²¥ of Cambridge.