5 September 2024
\n \n \n \nThe ERC - the premier European funding organisation for excellent frontier research - has announced the awarding of 494 major ERC Starting Grants to young scientists and scholars across Europe, including six Oxford University researchers, two of whom are from MPLS.
\n \n\n \n \n4 September 2024
\n \n \n \nThe University of Oxford is to share in \u00a332.4m funding from the first round of UKRI\u2019s new cross research council responsive mode (CRCRM) pilot scheme. The scheme is designed to stimulate exciting new interdisciplinary research.
\n \n\n \n \n18 July 2024
\n \n \n \nOxford Semantic Technologies, established in 2017 by three Department of Computer Science professors \u2014 Ian Horrocks, Boris Motik and Bernardo Cuenca Grau, sees its RDFox technology incorporated into Samsung AI consumer devices.
\n \n\n \n \n20 June 2024
\n \n \n \nResearchers from the Department of Computer Science have made a significant advance towards ensuring that information produced by generative artificial intelligence (AI) is robust and reliable.
\n \n\n \n \n21 May 2024
\n \n \n \nLeading AI scientists, including researchers from the University of Oxford, are calling for stronger action on AI risks from world leaders, warning that progress has been insufficient since the first AI Safety Summit in Bletchley Park six months ago.
\n \n\n \n \n21 March 2024
\n \n \n \nResearchers from the Oxford Martin Programme on Ethical Web and Data Architectures (EWADA) and Department of Computer Science have called for a more considered approach when embedding ethical principles in the development and governance of AI for children.
\n \n\n \n \n19 March 2024
\n \n \n \nDepartment of Computer Science researchers from the University of Oxford\u2019s Oxford Martin Programme on Ethical Web and Data Architectures (EWADA) are trying to better understand people\u2019s values over who manages the sharing of their personal information online through an expansive research project.
\n \n\n \n \n8 March 2024
\n \n \n \nKelsey Doerksen is a PhD student in Autonomous Intelligent Machines and Systems at the Department of Computer Science, and the President of the Oxford Womxn in Computer Science Society. She is also a Giga Data Science Fellow at UNICEF and a Visiting Researcher at European Space Agency.
\n \n\n \n \n6 March 2024
\n \n \n \nThirteen early career researchers from Oxford were finalists at this year\u2019s STEM for BRITAIN event, held on Monday at the Houses of Parliament, with three winning awards in their categories.
\n \n\n \n \n1 March 2024
\n \n \n \nThe new cohort of Turing Fellows will tackle science and innovation challenges, and support our work in skills and public engagement
\n \n\n \n \n6 February 2024
\n \n \n \nThe University of Oxford is to share in a major \u00a380 million investment announced today to develop next-generation artificial intelligence (AI) technologies. The funding, from EPSRC, will support nine new AI research hubs in the UK, one of which will be based at the Department of Computer Science.
\n \n\n \n \n3 January 2024
\n \n \n \nResearchers from the MRC Brain Network Dynamics Unit and the Department of Computer Science have set out a new principle to explain how the brain adjusts connections between neurons during learning. This may guide further research on learning in brain networks and inspire more robust learning algorithms in artificial intelligence.
\n \n\n \n \n23 November 2023
\n \n \n \nThree of those awarded grants are from MPLS Division: Fabrizio Caola, Associate Professor of Theoretical Particle Physics in the Department of Physics; Aleks Kissinger, Associate Professor of Quantum Computing in the Department of Computer Science; and Siddharth Parameswaran, Professor of Theoretical Physics in the Department of Physics
\n \n\n \n \n17 November 2023
\n \n \n \nUniversity of Oxford researchers, in partnership with Trillium Technologies\u2019 NIO.space, have developed a tool to automatically detect methane plumes on Earth from orbit using machine learning with hyperspectral data. This could help identify excessive \u2018super emitters\u2019 of methane and enable more effective action to reduce greenhouse gas emissions.
\n \n\n \n \n10 November 2023
\n \n \n \nSCG Chemicals Public Company Limited (SCGC), part of the Siam Cement Group (SCG) and one of the largest integrated chemical companies in Asia, has agreed a major new award scheme to develop novel ideas and nascent research from Oxford\u2019s laboratories into environmental sustainability solutions for the global chemicals industry.
\n \n\n \n \n7 November 2023
\n \n \n \nAn opinion piece about the recent AI Safety Summit by Sir Nigel Shadbolt, Professor of Computing Science in the Department of Computer Science, Professor John Tasioulas, Director of the University's Institute for Ethics in AI, and H\u00e9l\u00e8ne Landemore, Professor of Political Science at Yale University.
\n \n\n \n \n30 October 2023
\n \n \n \nThe University of Oxford has topped the Times Higher Education world ranking for Computer Science for the sixth consecutive year, in their newly released subject tables. \r\n\r\nThe computer science subject table uses the same trusted and rigorous performance indicators as the Times Higher Education World University Rankings 2024, but the methodology has been recalibrated to suit the discipline.
\n \n\n \n \n26 October 2023
\n \n \n \nDr Sebastian K\u00f6hler is among seven researchers awarded postdoctoral research grants by the Government Office for Science and administered by the Royal Academy of Engineering. The fellowships focus on areas of cutting edge unclassified basic research that can support the intelligence, security and defence communities.
\n \n\n \n \n26 October 2023
\n \n \n \nThe first digital atlas showing how the human brain develops in the womb has been published by a global research team led by the University of Oxford.
\n \n\n \n \n19 October 2023
\n \n \n \nAs the COVID-19 pandemic demonstrated, viruses can quickly evolve new ways of evading our immune systems, undermining our efforts to control outbreaks. But a new artificial intelligence (AI) tool developed by researchers in the Department of Computer Science and Harvard Medical School could help predict new viral variants before they emerge.
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