Cambridge launches Regulatory Genome Project
The project will use machine learning to sequence the world’s regulatory text and create an open-source repository of machine-readable regulatory information.
Dec. 21, 2020 • ~3 min
Cambridge researchers awarded European Research Council funding
Five researchers at the University of Cambridge have won consolidator grants from the European Research Council (ERC), Europe’s premiere funding organisation
Dec. 9, 2020 • ~2 min
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
Oct. 23, 2020 • ~6 min
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
Sept. 23, 2020 • ~6 min
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
June 24, 2020 • ~4 min
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.
May 15, 2020 • ~5 min
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.
April 6, 2020 • ~3 min
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.
April 3, 2020 • ~8 min
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.
March 5, 2020 • ~4 min
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.
Nov. 7, 2019 • ~6 min
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