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University of Cambridge


Teenagers at greatest risk of self-harming could be identified almost a decade earlier

Researchers found two subgroups of adolescents who self-harm, one with emotional and behavioral difficulties, and a second group without those difficulties but with different risk factors. The study suggests that it may be possible to predict which individuals are most at risk of self-harm up to a decade ahead of time.

SourceUniversity of Cambridge·JournalJournal of the American Academy of Child & Adolescent Psychiatry·DateJun 15, 2021

Atom swapping could lead to ultra-bright, flexible next generation LEDs

Researchers at the University of Cambridge have developed a new technique that enables the creation of ultra-bright, flexible LEDs with improved efficiency and low cost. By swapping one out of every thousand atoms, they tripled the luminescence of halide perovskites, which could be useful for low-cost printable and flexible LED lighting.

SourceUniversity of Cambridge·JournalJournal of the American Chemical Society·DateJun 7, 2021

How do plants hedge their bets?

Researchers found that genetically identical seeds can have varying germination times due to the ABA-GA network, which allows for a 'bistable switch' behavior. This variability in germination time can be beneficial for plants growing in unpredictable environments, such as agriculture and natural areas.

Cricket bats should be made from bamboo not willow, Cambridge study finds

Bamboo cricket bats offer improved performance, including increased strength and energy transfer, according to a recent University of Cambridge study. The research also highlights the potential environmental benefits of using bamboo, as it is more sustainable and requires less waste during manufacture than traditional willow.

SourceUniversity of Cambridge·JournalProceedings of the Institution of Mechanical Engineers Part P Journal of Sports Engineering and Technology·DateMay 9, 2021

Can federated learning save the world?

Federated learning, a new approach to training AI models, is found to have a significantly greener impact than traditional methods. By distributing training across multiple devices, the energy consumption and CO2 emissions are reduced. This method has important privacy benefits as well, keeping data local and secure.

3D holographic head-up display could improve road safety

Researchers developed a 3D holographic head-up display using LiDAR data to create ultra-high-definition holographic representations of road objects, alerting drivers to potential hazards without distraction. The technology has shown promising results in early tests, suggesting it could be a valuable addition to existing safety measures.

SourceUniversity of Cambridge·JournalOptics Express·DateApr 25, 2021