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Department of Computer Science and Technology

Read more at: Sandy Fraser: a memorial to his achievements
We're holding a memorial to Sandy Fraser in February 2023

Sandy Fraser: a memorial to his achievements

20 January 2023

We're holding a memorial event in February for Dr Alexander Fraser, a computer science pioneer whose work was fundamental to the development of the internet we use today.


Read more at: Evaluating work to support the next generation of AI leaders

Evaluating work to support the next generation of AI leaders

7 December 2022

The Raspberry Pi Computing Education Research Centre here is involved in a new programme that aims to support the next generation of AI leaders.


Read more at: Applications open for new 'Data Science For Science' course
Chemist Dr Ryan Geiser is one of the researchers to have benefited from the Data Science for Science course

Applications open for new 'Data Science For Science' course

6 December 2022

PhD students and postdocs across Cambridge University can apply for a new training course that will equip them with skills in using data science to advance their research.


Read more at: The researcher scaling new frontiers in multi-robotic research

The researcher scaling new frontiers in multi-robotic research

6 December 2022

Meet Dr Amanda Prorok, an award-winning researcher whose team is working on practical ways to solve problems that require robots to coordinate with each other.


Read more at: Machine learning enables AI systems to do maths in English as well as logic

Machine learning enables AI systems to do maths in English as well as logic

1 December 2022

The finding that AI systems can now learn maths in English as well as logic, and it’s helping them improve their problem-solving powers, is being presented at a major conference this week.


Read more at: Fitness levels can be accurately predicted using wearable devices – no exercise required

Fitness levels can be accurately predicted using wearable devices – no exercise required

29 November 2022

Using machine learning, a team of researchers has developed a new method of measuring overall fitness on wearable devices that outperforms current consumer fitness monitors.