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ML for Science

@ml4science.bsky.social

Cluster of Excellence "Machine Learning: New Perspectives for Science" at University of Tübingen, Germany. Blog: https://www.machinelearningforscience.de/

114 Posts1366 Follower957 Folgt
ML for Science@ml4science.bsky.social · 5d ago

Whether in medicine, agriculture, or care, #AI is being used in many areas. But what do the people who interact with it think about it? Anthropologist Miguel Gómez Hernández is exploring exactly these questions: www.machinelearningforscience.de/en/follow-th... #ML #MachineLearning #Anthropology

Follow the People, not Technology

Artificial intelligence (AI) is often described as objective, but it is built on assumptions, values, and social norms. Anthropologist Miguel Gómez Hernández analyses how everyday people and scientist...

machinelearningforscience.de

Tübingen AI Center@tuebingen-ai.bsky.social · 4w ago

Startup news from Tübingen! SOO happy for 🎉 Ontic Labs and Feyer, who have been selected for @SPRIND's Next Frontier AI Challenge. As two of just ten teams across Europe, they'll each receive €3 million to develop their companies. Congratulations to everyone involved! 🚀 tuebingen.ai/news/breakth...

Breakthrough for two University of Tübingen AI startups

Ontic Labs and Feyer each to receive three million euros as they reach second round of Europe-wide competition

tuebingen.ai

ML for Science@ml4science.bsky.social · last mo.

On Saturday, July 11 (1-4pm), the public event Soapbox Science will take place at Tübingen's Holzmarkt Women and non-binary scientists will present their research in an accessible way. The event is inspired by London Hyde Park's Speaker's Corner, an arena for public debate. Find the program below:

Soapbox Science Program Poster, listing the hours and speakers. The Event takes place on July 11, 2026 at 1-4pm.
ML for Science@ml4science.bsky.social · last mo.

We're happy to announce that our Cluster member @mfinck.bsky.social was appointed as an independent expert to the AI Act's Scientific Panel! The Panel assists AI Office & national authorities in the implementation of the AI Act, as well as assessing the impacts & risks of general-purpose AI models

Photo Collage with Michèle Finck (left) and Kristof Meding (right) with the caption: Michèle Finck and the CZS Institute for AI and Law join the AI Act's Governance Bodies
Ulrike Luxburg@ulrikeluxburg.bsky.social · 2mo ago

You are working at the interface between ML and a scientific discipline? Apply as an Early Career Research Group Leader in Tübingen! Job add: uni-tuebingen.de/en/128980#c2... Blog: www.machinelearningforscience.de/en/latest-re... People: uni-tuebingen.de/en/166443

ML for Science@ml4science.bsky.social · 2mo ago

We are recruiting several Early Career Research Group Leaders for Machine Learning in Science (m/f/d; E14 TV-L, 100%) in Tübingen! Open to researchers directly after their PhD or with postdoctoral experience. Application deadline: July 15, 2026. More info: uni-tuebingen.de/en/128980#c2... 1/2

Image with the text: Open Positions: Early Career Research Group Leaders for Machine Learning in Science (m/f/d, E14 TV-L, 100%). Application Deadline: July 15, 2026.
ML for Science@ml4science.bsky.social · 2mo ago

Eyewire II is a great research project from @philipp.hertie.ai's lab and international collaborators! Read @janlause.bsky.social's thread to find out more👇

Jan Lause@janlause.bsky.social · 2mo ago

Meet Eyewire II: a new connectomic resource for the mouse retina. ~1 mm² of retina at nanometer resolution, with synapses and circuits of ca. 100,000 neurons, plus visual responses from the ~400 neurons shown in the video! Preprint: doi.org/10.64898/202... Data: eyewire.ai 🧠📈 🧠💻🧪 #VisionScience

ML for Science@ml4science.bsky.social · 3mo ago

Can you trust AI chatbots with medical advice? In our latest blog post, Carsten Eickhoff (@health-nlp.com), Professor for E-Health and Medical Data Science, puts recent research on AI chatbots in healthcare into context: www.machinelearningforscience.de/en/half-of-a... #DigitalHealth #HealthcareAI

Half of AI health answers are wrong even though they sound convincing – new study — MACHINE LEARNING for science

AI chatbot health advice may sound convincing, but its content can be deeply problematic. In this article, Carsten Eickhoff, Professor for E-Health and Medical Data Science, puts the findings of the l...

machinelearningforscience.de

ML for Science@ml4science.bsky.social · 3mo ago

Can you trust AI chatbots with medical advice? In our latest blog post, Carsten Eickhoff (@health-nlp.com), Professor for E-Health and Medical Data Science, puts recent research on AI chatbots in healthcare into context: www.machinelearningforscience.de/en/half-of-a... #DigitalHealth #HealthcareAI

Half of AI health answers are wrong even though they sound convincing – new study — MACHINE LEARNING for science

AI chatbot health advice may sound convincing, but its content can be deeply problematic. In this article, Carsten Eickhoff, Professor for E-Health and Medical Data Science, puts the findings of the l...

machinelearningforscience.de

ML for Science@ml4science.bsky.social · 3mo ago

Tolles Format: Direkter Austausch zwischen Schüler*innen und Forschenden zu KI im Live-Chat. Liebe Forschende im Bereich #KI und #ML, macht doch mit - noch bis zum 17. Mai könnt ihr euch anmelden!

RHET AI Center@rhetai.bsky.social · 4mo ago

🚨 𝗡𝗲𝘂𝗲 𝗥𝘂𝗻𝗱𝗲 𝗯𝗲𝗶 𝗜’𝗺 𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 𝗶𝗺 𝗝𝘂𝗻𝗶 𝟮𝟬𝟮𝟲! Thema: Künstliche Intelligenz Die Idee: Schüler:innen stellen ihre Fragen zu #KI im Live-Chat direkt an Forschende! 📅 Lehrende mit ihrer Klasse & Forschende können sich bis 17.5. anmelden/bewerben ➡️ Weitere Infos & Anmeldung: imascientist.de

Auf weißem Grund sind Grafiken von Kreisen und einem Netzwerk in Blau- und Beerenfarben angeordnet, oben rechts ist das Logo von "I'm a Scientist – Get me out of here" zu sehen, in der Mitte die Schriftzüge "Themenrunde Künstliche Intelligenz – Live-Chats vom 8. bis zum 12. Juni" und "Bis 17. Mai anmelden!"
ML for Science@ml4science.bsky.social · 4mo ago

We're excited to welcome our 2026 AIMS Fellows: Ndim Handson Nsani, Arlette Musanabera, Vongai Mitchell Makuwaza, Dzodzoenyenye Senanou and Benedict Ositadinma Ejelonu have recently arrived in Tübingen and started their nine-month research visit. We wish them a productive and rewarding stay!

The new AIMS fellows (from left to right): Ndim Handson Nsani (AIMS Rwanda), Arlette Musanabera (AIMS Rwanda), Vongai Mitchell Makuwaza (AIMS Senegal), Dzodzoenyenye Senanou (AIMS Senegal) and Benedict Ositadinma Ejelonu. - Photo Credit: Sebastian Schwenk/University of Tübingen.
ML for Science@ml4science.bsky.social · 4mo ago

Our cluster speaker @philipp.hertie.ai is featured on FAZ's podcast about AI! In it, he discusses the usage of #AI in the medical field, whether it can predict the progression of diseases & how it can help improve healthcare systems across the world. www.faz.net/podcasts/f-a...

Philipp Berens: Wie KI Krankheiten erkennt und hilft

Für Data-Science-Professor Philipp Berens verändert Künstliche Intelligenz die Diagnostik und den Klinikalltag. Sie markiert Auffälligkeiten und senkt Fehlalarme, ohne ärztliche Verantwortung zu erset...

faz.net