© © 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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‘We translate chemical reactions into maths’
Combined with biology and chemistry, mathematics offers new ways of modelling the microbiome and thus better understanding obesity: a key to targeted therapy.
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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
Trust or distrust towards AI chatbots
How do users deal with the technology? Computational linguist Prof. Dr Hendrik Buschmeier talks about this in a lecture series of the Transregio “Constructing Explainability”. The recording is now online.
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© Bielefeld University
Bielefeld team sets off for the RoboCup World Championships
Team of researchers and students faces international competition. Service robot TIAGo is to master everyday tasks.
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© Bielefeld University
DataNinja presents innovations for trustworthy AI
The Research Training Group takes stock after three years of research, during which the team of doctoral students and established scientists worked on trustworthy AI systems and their embedding.
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“We want to know the limits of the algorithm”
Dr Petra Bevandić and Dr Robin Chan are teaching computer vision systems to deal with something unknown.
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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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Analysing deep-sea images with AI
Bioinformatician Tim Nattkemper uses AI to protect underwater biodiversity in the EU project ‘BioProtect’
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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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Finding the best route as quickly as possible every day
Doctoral students Elias Schede and Jasmin Brandt want their research to boost user confidence in AI.
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© University of Bremen/Patrick Pollmeier
Robots with Common Sense
Bielefeld and Bremen academics work to make knowledge from different sources accessible in a machine-readable format.
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© Universität Bielefeld/M. Adamski
Understandable insights into AI research
In a new research podcast, the researchers of the Collaborative Research Centre TRR 318 give an insight into their work and explain why explainable AI is an important step into the future of AI research.
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© Bielefeld University
Branch office of Forschungszentrum Jülich established
Non-university research in the field of computational metagenomics
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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/merydolla/stock.adobe.com
What happens when artificial intelligence engages in dialogue?
Is surgery or conservative treatment recommended for brain tumor? How AI can support with individual information.
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© Bielefeld University
How robots adapt in communication
In a new study by the Universities of Bielefeld and Bremen, scientists are testing how humans can better follow the instructions of a robot.
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© University of Bremen
The hesitant robot
Can humans better follow a robot’s statements when it makes pauses in speech or produces filler sounds?
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© Sarah Jonek
Predicting outbreak of ALS disease with AI methods
Bielefeld bioinformatics researchers publish study in Nature Machine Intelligence. They deciphered the genotype profiles of 3,000 ALS patients.
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© Bielefeld University
‘There are always two sides to an explanation’
Machines responding to individual signals of their human partners: This is the objective of a new research project.
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Teaching machines how humans think
In the first talk of the new lecture series ‘Co-Constructing Intelligence’ American computer scientist Professor Dr Kenneth D. Forbus presents his research.
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