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