Interactive tool shows the science behind COVID-19 control measures

An online tool to illustrate the effects of different COVID-19 control measures has been developed by a team of University of Cambridge researchers.

Cambridge University News • cambridge
April 8, 2020 ~3 min

Tags: covid-19 coronavirus infectious-diseases

Cambridge engineers use industrial modelling techniques to help Addenbrooke’s manage COVID-19 care

Modelling tools originally designed to improve the efficiency of factories are being used by Cambridge engineers to help Addenbrooke’s Hospital manage the COVID-19 emergency.

Cambridge University News • cambridge
April 6, 2020 ~3 min

Tags: covid-19 engineering coronavirus

New app collects the sounds of COVID-19

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 University of Cambridge.

Cambridge University News • cambridge
April 6, 2020 ~3 min

Tags: covid-19 coronavirus app machine-learning

AI techniques used to improve battery health and safety

Researchers have designed a machine learning method that can predict battery health with 10x higher accuracy than current industry standard, which could aid in the development of safer and more reliable batteries for electric vehicles and consumer electronics.

Cambridge University News • cambridge
April 6, 2020 ~4 min

Tags: energy artificial-intelligence battery

Progress using COVID-19 patient data to train machine learning models for healthcare

Following from last week's call for governments to use machine learning and AI techniques to help in the fight against the COVID-19 pandemic, Professor Mihaela van der Schaar gives an update on a working proof of concept she has built using anonymised data from Public Health England.

Cambridge University News • cambridge
April 3, 2020 ~8 min

Tags:  artificial-intelligence  covid-19  coronavirus  machine-learning

Younger workers hit harder by coronavirus economic shock in UK and US

In addition, those on low incomes are more likely to have lost jobs or pay, and less able to complete work tasks from home. Researchers warn the COVID-19 downturn is likely to “increase inequality between young and old”.

Cambridge University News • cambridge
April 3, 2020 ~6 min

Tags: covid-19 employment economics

Workers under 30 hit harder by coronavirus economic shock in UK and US

In addition, those on low incomes are more likely to have lost jobs or pay, and less able to complete work tasks from home. Researchers warn the COVID-19 downturn is likely to “increase inequality between young and old”.

Cambridge University News • cambridge
April 3, 2020 ~6 min

Tags: covid-19 employment economics

Gardening and Wellness: connect to nature during lockdown

On 22nd March 2020, Cambridge University Botanic Garden closed its gates to protect visitors and staff during the global coronavirus pandemic. Coinciding almost exactly with the start of Spring, this felt like a particularly cruel blow. 

Cambridge University News • cambridge
April 3, 2020 ~4 min

Tags:  covid-19  coronavirus  infectious-diseases

Rapid COVID-19 diagnostic test developed by Cambridge team to be deployed in hospitals

A new rapid diagnostic test for COVID-19, developed by a University of Cambridge spinout company and capable of diagnosing the infection in under 90 minutes, is being deployed at Cambridge hospitals, ahead of being launched in hospitals nationwide.

Cambridge University News • cambridge
April 2, 2020 ~5 min

Tags: covid-19 coronavirus infectious-diseases diagnostic innovation spotlight-on-innovation

Cambridge researchers awarded European Research Council funding

Four researchers at the University of Cambridge have won advanced grants from the European Research Council (ERC), Europe’s premier research funding body.

Cambridge University News • cambridge
April 1, 2020 ~4 min

Tags:  physics  materials  advanced-materials  optics  quantum  archaeology

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