© indigo(c)2023
Humans and Machines as a Team: New “Humation” Alliance
How can humans and machines be brought together in ways that benefit both? This question drives the new competence network Humation – Human-Centred Automation, founded jointly by Bielefeld University and the Fraunhofer IOSB-INA in Lemgo.
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© Drimalla
Contactless Pulse Measurement Falters at High Heart Rates
Researchers at Bielefeld University have analyzed how reliably AI methods can detect pulse rates from simple video recordings.
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© Bielefeld Univerity
How humans and AI work as a team
How can cooperation succeed between humans and AI? The FAITH focus area at Bielefeld University is researching the hybrid teamwork of tomorrow.
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© TRR 318 und Sarah Jonek
Humans and Machines Learn Differently
Bielefeld researchers analyze in “Nature Machine Intelligence” how humans and AI systems learn new things and what this means for the future of Artificial Intelligence.
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© TRR 318/ Stefan Sättele
Developing explanations together
After four years of intensive research, the Transregional Collaborative Research Centre 318 “Constructing Explainability” takes stock. In this interview, the two spokespersons share key insights.
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© University of Osaka
Strategic links with Asia strengthened
The Rector of the University Professor Dr Angelika Epple and Professor Dr Michaela Vogt, Vice Rector for International Affairs, Diversity and Society, visiting partner institutions in China and Japan.
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© © Andreas Zobe
Making Better, More Explainable Medical Diagnoses with AI
Can artificial intelligence work side by side with doctors to help them make better diagnoses? A research team at Bielefeld University is dedicated to answering this question.
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© TRR 318
Looking at Explanations of AI in Context
How can explanations of artificially intelligent systems be made comprehensible, and what role does context play in this? These questions are the focus of the 3rd TRR 318 conference ‘Contextualising Explanations’, which will take place on 17 and 18 June in Bielefeld.
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© TRR 318/ Mike-Dennis Müller
‘Development of new interactive decision-making systems’
Bielefeld University has set up an independent research group to investigate explainable artificial intelligence (XAI) and its influence on human trust in AI. In this interview, its head Dr David Johnson talks about its aims and methods.
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© Bielefeld University
Conference on the technology of argumentation machines
Ratio-24 at the university shows how technical systems can recognise argumentative structures using large language models. This can help to make opinion-forming more transparent.
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© Susanne Freitag
Neuroinformatician Helge Ritter honoured with symposium
150 guests look back on the work of the long-standing coordinator of the Cluster of Excellence CITEC. After 33 years at the university, the Faculty of Engineering bids farewell to the researcher on his retirement.
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© Mike-Dennis Müller
“UniTeam” wins robot in international AI challenge
The group led by Bielefeld computer scientist Dr Andrew Melnik is successful at the world’s largest conference for machine learning.
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© Aarhus University
How social should AI be?
Professor Johanna Seibt from Aarhus University is an expert in “Robophilosophy”. She gives an insight into her research in a lecture at Bielefeld University, which is now available as a video recording.
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© Bielefeld University
New CITEC profile for broader research perspective
With a new research profile and a new organisational structure, CITEC will now work even more efficiently on future-oriented technologies.
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© Bielefeld University/S. Jonek
‘Time pressure turns us into zombies for a moment’
The psychologist Dr Christian Poth from the CITEC institute identified a condition that causes people to act against their intentions.
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Making water supply sustainable
The number of people living in cities is growing. This makes the supply of drinking water more difficult—and calls for new smart technologies.
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© Bielefeld University/S. Jonek
Making artificial intelligence more natural
New Humboldt Professor Yaochu Jin is doing research on nature-inspired artificial intelligence at Bielefeld University
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