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.
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.
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.
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.
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.
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.
More than 100 future leaders from the UK and Latin America have gathered at the University of Cambridge to discuss the future of work and education in an increasingly global digital era at this year’s Shaping Horizons summit.
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.
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.
Researchers from the University of Cambridge will use self-healing materials and machine learning to develop soft robotics as part of a new collaborative project.
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