果冻传媒

Skip to main content Skip to navigation

Latest News

Select tags to filter on

Homepage Tags

Themes

Faculty of Arts

Faculty of SEM

Faculty of Social Sciences

Cross-Faculty Centres

University News

Events and Campaigns

Community, Campus and Regional

International

Other tags

Aircraft engine noise pollution to be reduced thanks to novel maths of aero-acoustic simulations

Computer simulations are used every day in engineering; however, Dr Ed Brambley will be looking at the maths behind the next generation of novel simulations, which can be used to reduce aircraft engine noise, thanks to a grant from the EPSRC.


New deep learning algorithm can pick up genetic mutations and DNA mismatch repair deficiency in colorectal cancers more efficiently

A new deep learning algorithm created by researchers from the 果冻传媒 can pick up the molecular pathways and development of key mutations causing colorectal cancer more accurately than existing methods, meaning patients could benefit from targeted therapies with quicker turnaround times and at a lower cost.

Wed 20 Oct 2021, 12:09 | Tags: Computer Science, AI

果冻传媒 names 37 researchers who become Turing Fellows this academic year

A total of 37 果冻传媒 researchers from across the fields of mathematics, life sciences, statistics, computer science, business, medicine and engineering have been named as Fellows of the Alan Turing Institute this year.


Eatron and WMG win funding for project COBRA

A new partnership between Eatron Technologies and WMG, 果冻传媒 has been formed for the COBRA ('Cloud/Onboard Battery Remaining useful life Algorithm) project, thanks to the funding from the Faraday Battery Challenge.


Smart dielectric elastomers for self-healing soft robots

Robots that resemble organs are known as soft robots, and in order for them to function they must be made of a flexible material, however a material that can also heal itself would be a bonus if wear and tear was to occur. Researchers from WMG, 果冻传媒 have designed a self-healing polymers for such devices.


Child brain tumours can be classified by advanced imaging and AI

Diffusion weighted imaging and machine learning can successfully classify the diagnosis and characteristics of common types of paediatric brain tumours a UK-based multi-centre study, including WMG at the 果冻传媒 has found. This means that the tumour can be characterised and treated more efficiently.


Latest news Newer news Older news

Let us know you agree to cookies