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Picture: Erstellt mit DALL-E 2Picture: Erstellt mit DALL-E 2
The navigation system in your head
2024/07/17
TU researchers have deciphered the processes that take place in the human mind during navigation
How can human navigation behaviour and its uncertainty be understood? A team of researchers led by TU professor Constantin Rothkopf has provided answers to this question in an article now published in the journal “Nature Communications”. According to their computational analysis, the brain uses both information from body cues (such as the motor memory of the path already travelled) and an internal mental map for navigation. The brain takes into account that the available information is incomplete, imprecise and uncertain – and continuously recomputes the path while considering the respective uncertainties.
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Bild: Klaus MaiBild: Klaus Mai
Staatssekretär Mario Brandenburg zu Gast bei hessian.AI
2024/07/11
Bei einem Besuch hat sich der Bundestagsabgeordnete und Parlamentarische Staatssekretär im Bundesministerium für Bildung und Forschung (BMBF), Mario Brandenburg (FDP), über die Arbeit des Hessischen Zentrums für Künstliche Intelligenz (hessian.AI) informiert. Zentrale Themen waren unter anderem die laufenden Forschungsprojekte, die Projekte im Wettbewerb der Exzellenzstrategie des Bundes und das KI-Innovationsökosystem mit vielfältigen Ausgründungen aus hessian.AI.
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Picture: Adobe Stock/Mr.Mockup/TU DarmstadtPicture: Adobe Stock/Mr.Mockup/TU Darmstadt
Safeguard against offensive image content
2024/07/10
TU Darmstadt research team presents innovative safety tool “LlavaGuard”
Researchers at the Artificial Intelligence and Machine Learning Lab (AIML) in the Department of Computer Science at TU Darmstadt and the Hessian Center for Artificial Intelligence (hessian.AI) have developed a method that uses vision language models to filter, evaluate, and suppress specific image content in large datasets or from image generators. The research is part of the “Reasonable Artificial Intelligence (RAI)” cluster project, which has submitted a full application to the Excellence Strategy of the German federal and state governments for the “Clusters of Excellence” funding line.
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Picture: Katrin BinnerPicture: Katrin Binner
LOEWE Top Professorship for Data Management expert Carsten Binnig
2024/07/02
State programme supports application for Cluster of Excellence “Reasonable Artificial Intelligence”
Professor Dr. Carsten Binnig, an expert in Artificial Intelligence (AI) and Data Management, has been awarded a LOEWE Top Professorship at TU Darmstadt. The state of Hesse is thus supporting the “Reasonable Artificial Intelligence (RAI)” research project as part of the Excellence Strategy of the federal and state governments. At the beginning of the year, the project successfully cleared the first hurdle on its way to becoming a Cluster of Excellence. The LOEWE Professorship will be funded over five years with around two million euros from LOEWE funds.
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Picture: Jan KrumbachPicture: Jan Krumbach
Tracking down the effect of heart medication
2024/06/28
Research paper published in PNAS
Our heartbeat and also the function of our nerve cells are regulated by special ion channels – so-called HCN channels. A research team from Milan and Darmstadt has now deciphered how the substance ivabradine from a commonly used heart medicine influences these channels. This discovery, which has now been published in the renowned journal “Proceedings of the National Academy of Sciences”, could lead to the development of new, more precise medicines for the treatment of heart problems, without any undesired side effects in the brain.
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Picture: FLOW FOR LIFEPicture: FLOW FOR LIFE
Minisymposium “Biomaterials & Tissue Engineering”
2024/06/25
Artificial Tissue in the Spotlight with Humboldt Research Award Winner Milica Radisic
The LOEWE Research Cluster FLOW FOR LIFE is hosting the minisymposium “Biomaterials & Tissue Engineering” on Wednesday, July 3, 2024, from 1:30 PM to 6:00 PM at the Georg-Christoph-Lichtenberghaus. The event will feature Humboldt Research Award winner Milica Radisic from the University of Toronto. Other speakers include Wolfram Zimmermann from the University of Göttingen, Katharina Landfester from the Max Planck Institute for Polymer Research in Mainz, and Aranzazu del Campo from the Leibniz Institute for New Materials and the Saarland University.
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Picture: hessian.AIPicture: hessian.AI
Visions for AI research
2024/06/18
Researchers of the RAI Cluster pool ideas
Scientists from the “Reasonable Artificial Intelligence” (RAI) project have exchanged visions and methods for researching artificial intelligence (AI) as part of a series of retreats. The findings will feed directly into the application process for a Cluster of Excellence in the prestigious Excellence Strategy of the German federal and state governments.
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Picture: Sina Ettmer - stock.adobe.comPicture: Sina Ettmer - stock.adobe.com
TAM researchers organise summer school on Visual Neuroscience
2024/06/12
Event is aimed at young scientists
Leading researchers from the project ‘The Adaptive Mind’ (TAM) are once again organising a summer school on Visual Neuroscience this year. The event is coordinated by TAM researchers Roland Fleming and Alexander Schütz and funded by the Center for Mind, Brain and Behaviour of the three TAM partner universities. These are TU Darmstadt, Justus Liebig University Giessen and Philipps University Marburg. TAM is in the running for a Cluster of Excellence in the prestigious Excellence Strategy of the German federal and state governments.
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Making AI models plausible
2024/06/04
The LOEWE focus area “WhiteBox”
The researchers at “WhiteBox”, a LOEWE focus at TU Darmstadt funded by the state of Hesse, are developing methods at the interface between cognitive science and AI research in order to better understand human and artificial intelligence.
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Picture: Patrick BalPicture: Patrick Bal
On the trail of human cognition
2024/05/29
Pragmatic AI for less bias
Researchers at the research group of Artificial Intelligence and Machine Learning (AIML) in the Department of Computer Science are working on the question of how human thinking and learning can be transferred to AI systems. As part of the TU project “Reasonable Artificial Intelligence (RAI)”, which has submitted a full application to the Excellence Strategy of the German federal and state governments for the ‘Clusters of Excellence’ funding line, the comprehensibility of AI decisions in particular is being investigated.