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 Genereras på April 16 2021 17:59 PM

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Home | The Alan Turing Institute



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Rubriker
H1 H2 H3 H4 H5 H6
1 12 35 31 0 0
  • [H1] We believe data science and artificial intelligence will change the world. Learn more The Turing's response to COVID-19
  • [H2] Search
  • [H2] Main navigation
  • [H2] We are the national institute for data science and artificial intelligence
  • [H2] News
  • [H2] Blog
  • [H2] Our events
  • [H2] Engage with us
  • [H2] Researcher spotlights
  • [H2] Latest research
  • [H2] Research programmes
  • [H2] Explore the Institute
  • [H2] Legal menu
  • [H3] Equality, diversity and inclusion
  • [H3] Join our mailing lists
  • [H3] Responding to the COVID-19 pandemic
  • [H3] Data as an instrument of coloniality
  • [H3] Equality, diversity and inclusion
  • [H3] Join our mailing lists
  • [H3] Responding to the COVID-19 pandemic
  • [H3] Data as an instrument of coloniality
  • [H3] Where are the women? Mapping the gender job gap in AI
  • [H3] AI UK programme released in advance of flagship showcase event 23–24 March
  • [H3] New AI UK speakers announced
  • [H3] Openness in the digital identity context
  • [H3] What’s in a statistic?
  • [H3] Our infrastructure systems are undergoing a sea change. We need AI to point the way
  • [H3] Methodological challenges and approaches in COVID-19 epidemiology
  • [H3] Data as an instrument of coloniality
  • [H3] The Turing Lectures: with Cordelia Schmid
  • [H3] Join our mailing lists
  • [H3] Work at the Turing
  • [H3] Collaborate with the Turing
  • [H3] Ruchi Choudhary
  • [H3] Sabina Leonelli
  • [H3] Vaishak Belle
  • [H3] Ecosystems of digital twins
  • [H3] Machine learning for radio frequency applications
  • [H3] Impact of climate change on agriculture
  • [H3] Environment and sustainability
  • [H3] Environmental monitoring: blending satellite and surface data
  • [H3] Machines reading maps
  • [H3] Artificial intelligence (AI)
  • [H3] Data science at scale
  • [H3] Data science for science
  • [H3] Data-centric engineering
  • [H3] Defence and security
  • [H3] Finance and economics
  • [H4] To make great leaps in research, we need to better reflect the diverse nature of the world
  • [H4] Sign up to our monthly newsletter, receive our exclusive Turing events guide, get updates from our dynamic Data Study Groups and keep in touch with new Research Opportunities
  • [H4] How the Turing is helping to tackle the spread and effects of coronavirus
  • [H4] To make great leaps in research, we need to better reflect the diverse nature of the world
  • [H4] Sign up to our monthly newsletter, receive our exclusive Turing events guide, get updates from our dynamic Data Study Groups and keep in touch with new Research Opportunities
  • [H4] How the Turing is helping to tackle the spread and effects of coronavirus
  • [H4] Published on 8 March 2021, International Women’s Day, this policy briefing from the Turing’s...
  • [H4] Two days, two interactive stages, 20 cutting-edge demos, and over 100 inspiring speakers and panelists
  • [H4] The Turing is pleased to announce the addition of several new, prestigious guest speakers to the line-up for our flagship event, AI UK on 23–24 March
  • [H4] How can a digital identity system be designed with openness in mind?
  • [H4] Three questions with the UK's National Statistician, Sir Ian Diamond
  • [H4] Machine learning techniques can provide crucial information about how to optimise our transport and energy systems
  • [H4] Sign up to our monthly newsletter, receive our exclusive Turing events guide, get updates from our dynamic Data Study Groups and keep in touch with new Research Opportunities
  • [H4] We need talented people to further the work of the Institute
  • [H4] We work with a wide range of partners to help deliver our mission of changing the world using data science and artificial intelligence
  • [H4] In a nutshell Data-Centric Engineering Group Leader Ruchi Choudhary’s work looks at energy use in buildings - this includes using simulation models to improve energy efficiency
  • [H4] Turing Fellow Sabina Leonelli’s research considers how we can responsibly connect data across climate, health, agricultural and environmental research
  • [H4] Turing Fellow Vaishak Belle’s career was initially inspired by science fiction – now he works to make machine learning interpretable and to understand how responsible decision-making could be codified
  • [H4] Bringing together multidisciplinary expertise in urban analytics, complex systems engineering and economics
  • [H4] How do we generate robust, real-time machine learning algorithms with integrated hardware and software for radio frequency applications?
  • [H4] Building next-generation models to support resilient agricultural policy
  • [H4] Using data science and AI to tackle environmental and climate challenges
  • [H4] Intelligent fusion of data from satellite and in-situ surface sensors to help understand our changing planet
  • [H4] Creating a generalisable machine learning pipeline to process text on maps and catalysing humanities, scientific, and cultural heritage communities to use map text as data
  • [H4] Advancing world-class research into artificial intelligence, its applications and its implications for society, building on our academic network’s wealth of expertise.
  • [H4] Building upon advances in high-performance computer architectures, through algorithm-architecture co-design, with applications including health and life science.
  • [H4] Ensuring that research across science and the humanities can make effective use of state of the art methods in artificial intelligence and data science.
  • [H4] Bringing together world-leading academic institutions and major industrial partners from across the engineering sector, to address new challenges in data-centric engineering.
  • [H4] Collaborating with the defence and security community to deliver an ambitious programme of data science and artificial intelligence research.
  • [H4] Develop cutting-edge methods to foster financial innovation and deepen our understanding of the economy, to benefit society at large.
  • [H4] Pagination
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Skip to main content Interna Passing Juice
Home Interna Passing Juice
Events Interna Passing Juice
News Interna Passing Juice
Responding to the COVID-19 pandemic Interna Passing Juice
The Turing Podcast Interna Passing Juice
Impact stories Interna Passing Juice
Blog Interna Passing Juice
About us Interna Passing Juice
Coronavirus advice Interna Passing Juice
Frequently asked questions Interna Passing Juice
Governance Interna Passing Juice
Training a new generation Interna Passing Juice
Equality, diversity and inclusion Interna Passing Juice
What Alan Turing means to us Interna Passing Juice
How to get to the Turing Interna Passing Juice
Research Interna Passing Juice
Research areas Interna Passing Juice
Challenges Interna Passing Juice
Programmes Interna Passing Juice
AI for Science and Government (ASG) Interna Passing Juice
Research Engineering Interna Passing Juice
Climate action at the Turing Interna Passing Juice
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Data ethics Interna Passing Juice
People Interna Passing Juice
Spotlights Interna Passing Juice
Researchers Interna Passing Juice
Doctoral Students Interna Passing Juice
Former Researchers Interna Passing Juice
Business Team Interna Passing Juice
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Why work at the Turing? Interna Passing Juice
Collaborate with the Turing Interna Passing Juice
Industry Interna Passing Juice
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Data Study Groups Interna Passing Juice
Data Science for Social Good Interna Passing Juice
Contact us Interna Passing Juice
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Press office Interna Passing Juice
Using the Turing logo Interna Passing Juice
Miriyam Aouragh Interna Passing Juice
Paula Chakravartty Interna Passing Juice
Nick Couldry Interna Passing Juice
Ulises Mejias Interna Passing Juice
Alison Powell Interna Passing Juice
Published on 8 March 2021, International Women’s Day, this policy briefing from the Turing’s... Interna Passing Juice
Two days, two interactive stages, 20 cutting-edge demos, and over 100 inspiring speakers and panelists Interna Passing Juice
The Turing is pleased to announce the addition of several new, prestigious guest speakers to the line-up for our flagship event, AI UK on 23–24 March Interna Passing Juice
View all Interna Passing Juice
How can a digital identity system be designed with openness in mind? Interna Passing Juice
Three questions with the UK's National Statistician, Sir Ian Diamond Interna Passing Juice
Machine learning techniques can provide crucial information about how to optimise our transport and energy systems Interna Passing Juice
taking our short survey Externa Passing Juice
Marc Lipsitch Interna Passing Juice
Chris Holmes Interna Passing Juice
Johanna Hutchinson Interna Passing Juice
Cordelia Schmid Interna Passing Juice
Chanuki Seresinhe Interna Passing Juice
Sign up to our mailing lists Interna Passing Juice
In a nutshell Data-Centric Engineering Group Leader Ruchi Choudhary’s work looks at energy use in buildings - this includes using simulation models to improve energy efficiency Interna Passing Juice
Turing Fellow Sabina Leonelli’s research considers how we can responsibly connect data across climate, health, agricultural and environmental research Interna Passing Juice
Turing Fellow Vaishak Belle’s career was initially inspired by science fiction – now he works to make machine learning interpretable and to understand how responsible decision-making could be codified Interna Passing Juice
Bringing together multidisciplinary expertise in urban analytics, complex systems engineering and economics Interna Passing Juice
How do we generate robust, real-time machine learning algorithms with integrated hardware and software for radio frequency applications? Interna Passing Juice
Building next-generation models to support resilient agricultural policy Interna Passing Juice
Intelligent fusion of data from satellite and in-situ surface sensors to help understand our changing planet Interna Passing Juice
Creating a generalisable machine learning pipeline to process text on maps and catalysing humanities, scientific, and cultural heritage communities to use map text as data Interna Passing Juice
Advancing world-class research into artificial intelligence, its applications and its implications for society, building on our academic network’s wealth of expertise. Interna Passing Juice
Building upon advances in high-performance computer architectures, through algorithm-architecture co-design, with applications including health and life science. Interna Passing Juice
Ensuring that research across science and the humanities can make effective use of state of the art methods in artificial intelligence and data science. Interna Passing Juice
Bringing together world-leading academic institutions and major industrial partners from across the engineering sector, to address new challenges in data-centric engineering. Interna Passing Juice
Collaborating with the defence and security community to deliver an ambitious programme of data science and artificial intelligence research. Interna Passing Juice
Develop cutting-edge methods to foster financial innovation and deepen our understanding of the economy, to benefit society at large. Interna Passing Juice
Annual Report Interna Passing Juice
Jobs Interna Passing Juice
YouTube Externa Passing Juice
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