Machine learning comes of age in cystic fibrosis

World-leading AI technology developed by the Cambridge Centre for AI in Medicine and their colleagues – some of which is being showcased this week at the North

Cambridge University News • cambridge
Oct. 23, 2020 ~6 min

machine-learning artificial-intelligence big-data cystic-fibrosis

How machine learning can help to future-proof clinical trials in the era of COVID-19

The COVID-19 pandemic is the greatest global healthcare crisis of our generation, presenting enormous challenges to medical research, including clinical

Cambridge University News • cambridge
Sept. 23, 2020 ~6 min

machine-learning medicine artificial-intelligence covid-19 coronavirus ai clinical-trial

New programme to accelerate AI research capability at Cambridge

A new initiative at Cambridge will equip young researchers outside computer science with the skills they need to use machine learning and artificial

Cambridge University News • cambridge
June 24, 2020 ~4 min

machine-learning artificial-intelligence computer-science philanthropy

AI successfully used to identify different types of brain injuries

Researchers have developed an AI algorithm that can detect and identify different types of brain injuries.

Cambridge University News • cambridge
May 15, 2020 ~5 min

 machine-learning  brain  neuroscience  artificial-intelligence  imaging  ai

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

machine-learning app covid-19 coronavirus

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

 machine-learning  artificial-intelligence  covid-19  coronavirus

Women in STEM: Krittika D'Silva

Krittika D'Silva is a PhD candidate in the Department of Computer Science and Technology, a Gates Cambridge Scholar and a member of Jesus College. Alongside her academic research in AI and machine learning, she has worked for NASA on monitoring astronaut health with AI and wearable devices, and for the UN in using data science to inform public policy. Here, she tells us about her motivation, goals, and how she ended up playing a tennis match against HRH Prince Edward.

Cambridge University News • cambridge
March 5, 2020 ~4 min

 machine-learning  women-in-stem  artificial-intelligence  computer-science

Women in STEM: Vidhi Lalchand

Vidhi is a PhD candidate at the Cavendish Laboratory, a Turing Scholar, and a member of Christ’s College. Here, she tells us about growing up in Madras, her research in machine learning and leaving the world of finance for academia.

Cambridge University News • cambridge
Nov. 7, 2019 ~6 min

 machine-learning  physics  women-in-stem  artificial-intelligence

Cambridge appoints first DeepMind Professor of Machine Learning

Following an international search, Professor Neil Lawrence has been appointed as the inaugural DeepMind Professor of Machine Learning at Cambridge, supported by a benefaction from the world-leading British AI company.

Cambridge University News • cambridge
Sept. 18, 2019 ~4 min

 machine-learning  computing  artificial-intelligence  computer-science  philanthropy

Women in STEM: Dr Anita Faul

Dr Anita Faul is a Teaching Associate at the Cavendish Laboratory and a Fellow of Selwyn College, where she specialises in algorithms. Here, she tells us about what it's like to teach at Cambridge and whether we can trust the answers that computers give us. 

Cambridge University News • cambridge
Aug. 8, 2019 ~4 min

 machine-learning  women-in-stem  artificial-intelligence  big-data

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