Cambridge is forging a future for our planet
21 October 2024Find out how Cambridge's pioneering research in climate and nature is regenerating nature, rewiring energy, rethinking transport and redefining economics - forging a future for our planet.
Find out how Cambridge's pioneering research in climate and nature is regenerating nature, rewiring energy, rethinking transport and redefining economics - forging a future for our planet.
Responsible for 8% of world carbon emissions, can trucking clean up its act?
Cambridge researchers are working to solve one of technology’s biggest puzzles: how to build next-generation batteries that could power a green revolution.
Researchers have developed an augmented reality head-up display that could improve road safety by displaying potential hazards as high-resolution three-dimensional holograms directly in a driver’s field of vision in real time.
Researchers have developed an adaptable algorithm that could improve road safety by predicting when drivers are able to safely interact with in-vehicle systems or receive messages, such as traffic alerts, incoming calls or driving directions.
'Lightning McGreen' and the 'The Sustainable Hulk' will lead a new fleet of nine electric buses plying routes travelled by students and staff across the University of Cambridge on the Universal bus route, scheduled to be put into service later this year by bus operator Whippet.
The London Underground is polluted with ultrafine metallic particles small enough to end up in the human bloodstream, according to University of Cambridge researchers. These particles are so small that they are likely being underestimated in surveys of pollution in the world’s oldest metro system.
Researchers have developed a machine learning algorithm that could help reduce charging times and prolong battery life in electric vehicles by predicting how different driving patterns affect battery performance, improving safety and reliability.
Researchers have demonstrated how airborne diseases such as COVID-19 spread along the length of a train carriage and found that there is no ‘safest spot’ for passengers to minimise the risk of transmission.
A new approach to solving the Travelling Salesperson Problem – one of the most difficult questions in computer science – significantly outperforms current approaches.