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

Tags:  imaging  neuroscience  ai  artificial-intelligence  machine-learning  brain

AI techniques in medical imaging may lead to incorrect diagnoses

Machine learning and AI are highly unstable in medical image reconstruction, and may lead to false positives and false negatives, a new study suggests.

Cambridge University News • cambridge
May 12, 2020 ~6 min

Tags: ai artificial-intelligence medicine imaging magnetic-resonance-imaging-mri

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

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

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

Women in STEM: Agnieszka Słowik

Agnieszka Słowik is a PhD candidate in the Department of Computer Science and Technology, where she is a member of the artificial intelligence research group. Here, she tells us about neural networks and how they communicate with each other, the importance of supportive supervisors, and how to be a supportive team member.

Cambridge University News • cambridge
Jan. 16, 2020 ~4 min

Tags:  artificial-intelligence  computing  deep-learning  women-in-stem

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

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

Opinion: Climate change, pandemics, biodiversity loss – no country is sufficiently prepared

Two Cambridge risk researchers discuss how national governments are still stuck on "old problems", and run through the things that should be keeping our leaders awake at night. 

Cambridge University News • cambridge
Nov. 1, 2019 ~8 min

Tags: risk climate-change pandemic public-policy sustainable-earth 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

Tags:  computer-science  artificial-intelligence  machine-learning  computing  philanthropy

AI learns the language of chemistry to predict how to make medicines

Researchers have designed a machine learning algorithm that predicts the outcome of chemical reactions with much higher accuracy than trained chemists and suggests ways to make complex molecules, removing a significant hurdle in drug discovery.

Cambridge University News • cambridge
Sept. 3, 2019 ~5 min

Tags: physics drug-discovery pharmaceutical artificial-intelligence advanced-materials chemistry

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