16 June 2022
\n \n \n \nThe innovative technique, developed in the Department of Materials, uses multiple polarisation channels to carry out parallel processing \u2013 enhancing computing density by several orders over conventional electronic chips.
\n \n\n \n \n4 May 2022
\n \n \n \nFour early-career researchers have been recognised by Forbes' 2022 list, which is intended to illustrate the power that young entrepreneurs and leaders have to transform business and society.
\n \n\n \n \n12 April 2022
\n \n \n \nSix institutions, including the University of Oxford, are leading efforts to deliver computational systems that will enable the world\u2019s largest radio telescope
\n \n\n \n \n29 March 2022
\n \n \n \nResearchers Richard Baker and Sebastian K\u00f6hler (with Ivan Martinovic) from the Department of Computer Science at the University of Oxford, and Martin Strohmeier of armasuisse Science + Technology, have discovered a cyber attack that allows individual vehicles to be disrupted in a stealthy way, or even entire fleets to be denied charging en masse.
\n \n\n \n \n24 March 2022
\n \n \n \nKeri Grieman, Research Associate in the Department of Computer Science, writes about the 'ethical black box' for robots.
\n \n\n \n \n22 March 2022
\n \n \n \nThe programme will establish a cross-disciplinary community of researchers in quantum computing and computer science, who will collaborate to address the global challenge of delivering quantum computing that is robust, reliable, and trustworthy.
\n \n\n \n \n1 March 2022
\n \n \n \nThe University\u2019s flagship UNIQ+ graduate access programme for students from disadvantaged and underrepresented backgrounds will expand further in 2022 thanks to a generous donation from leading British artificial intelligence company DeepMind.
\n \n\n \n \n1 February 2022
\n \n \n \nA project to harness three ground-breaking technologies developed by Oxford Chemistry researchers \u2013 to analyse individual proteins and decipher the complexity of bacterial communication \u2013 has been awarded \u00a35.5m by the BBSRC.
\n \n\n \n \n19 January 2022
\n \n \n \nGovernments and social media platforms should not rely on content removal for combatting harmful scientific misinformation online, according to a report today from the Royal Society, the UK\u2019s national academy of science. Professor Sir Nigel Shadbolt, Oxford Professor of Computing Science, was on the working group for the report.
\n \n\n \n \n9 December 2021
\n \n \n \nEstimates of COVID-19 vaccine uptake in the USA based on large surveys that are used to guide policy-making decisions tend to overestimate the number of vaccinated individuals, research published in Nature suggests.
\n \n\n \n \n9 December 2021
\n \n \n \nAs part of their research project Amanda Matthes and Jonas Beuchert, supervised by Professor Alex Rogers, developed \u2018SnapperGPS\u2019, a low-cost, low-power wildlife tracking system based on satellite navigation. In summer 2021, they deployed it for the first time on wild animals: endangered loggerhead sea turtles in Cape Verde.
\n \n\n \n \n2 December 2021
\n \n \n \nAn article by Professor Marta Kwiatkowska, Department of Computer Science, for the Capgemini Research Institute.
\n \n\n \n \n1 December 2021
\n \n \n \nDeepMind, the leading British artificial intelligence company, has renewed its commitment to supporting students at the University of Oxford following the success of its scholarship programme for under-represented groups in AI.
\n \n\n \n \n29 November 2021
\n \n \n \n\n \n \n29 November 2021
\n \n \n \nOxford\u2019s leading AI and robotics scientists are entering a new, exciting phase of collaboration with Amazon Web Services (AWS).
\n \n\n \n \n3 November 2021
\n \n \n \nNew software can help determine the movements of large wild animals, thereby minimising conflicts with people.
\n \n\n \n \n6 October 2021
\n \n \n \nFor the fourth year running the University of Oxford has been ranked first in the world for Computer Science in the Times Higher Education 2022 World University Rankings.
\n \n\n \n \n30 September 2021
\n \n \n \nThirty-three University of Oxford researchers have been named Turing Fellows for the 2021/22 academic year. 23 of the fellows come from MPLS departments.
\n \n\n \n \n27 September 2021
\n \n \n \nThe Moon\u2019s polar regions are home to craters and other depressions that never receive sunlight. Permanently shadowed lunar craters contain water ice but are difficult to image. An AI algorithm now provides sharper images, allowing us to see into them with high resolution for the first time.
\n \n\n \n \n30 July 2021
\n \n \n \nFive internationally-recognised researchers have been appointed as the first Turing Artificial Intelligence (AI) World-Leading Researcher Fellows.
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