18 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 \n25 April 2024
\n \n \n \nIn October 2022 the University of Oxford became one of nine leading research universities around the world selected to deliver the Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship programme. Ten Fellows were recruited to Oxford in 2023 and this year a further 15 Fellows are joining them.
\n \n\n \n \n27 March 2024
\n \n \n \nA Q&A with Brian Christian, an acclaimed American author and researcher who explores the human and societal implications of computer science. Brian talks about the latest chapter of his career journey: starting a DPhil (PhD) at the University of Oxford to grapple with the challenge of designing AI programs that truly align with human values.
\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 \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 \n8 February 2024
\n \n \n \nA profile of Professor Lionel Tarassenko (Department of Engineering Science) and his work in machine learning and AI.
\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 \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 \n7 November 2023
\n \n \n \nOver 2 days, the UK AI Safety Summit brought together approximately 150 representatives from across the globe including government leaders and ministers, and industry, academia and civil society leaders.
\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 \n31 October 2023
\n \n \n \nBacked by over \u00a315 million funding, the new UKRI AI Centre for Doctoral Training in AI for the Environment (The Intelligent Earth Centre) will combine the University\u2019s strengths in artificial intelligence, machine learning, Big Data, and environmental sciences.
\n \n\n \n \n20 October 2023
\n \n \n \nIn a paper published today in Nature Photonics, researchers from the University of Oxford, along with collaborators from the Universities of Muenster, Heidelberg, and Exeter, report on their development of integrated photonic-electronic hardware capable of processing three-dimensional (3D) data, substantially boosting data processing parallelism for AI tasks.
\n \n\n \n \n28 September 2023
\n \n \n \nProfessor Carl-Benedikt Frey (Oxford Internet Institute & Oxford Martin School) and Professor Michael Osborne (Department of Engineering Science and co-Director, Oxford Martin AI Governance Initiative) discuss the limitations of Generative AI.
\n \n\n \n \n14 June 2023
\n \n \n \nProfessor Michael Bronstein and Professor Alison Noble will conduct ground-breaking work on some of artificial intelligence\u2019s biggest challenges.
\n \n\n \n \n9 May 2023
\n \n \n \nResearchers have created atomically thin artificial neurons capable of processing both light and electric signals for computing.
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