Science Stories

What drives our researchers and what they care about
March 7, 2024 Sarah Bioly

Better Understanding the Monsoons and the El Niño

Bedartha Goswami’s goal is to build a bridge between machine learning and climate science. It’s not easy: when new methods in machine learning are developed, the ways that they can be applied in the climate sector is often not considered. Goswami is a team player, so his solution has been to put together a group with the interdisciplinary expertise needed for real breakthroughs in climate science.
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September 27, 2023 Aikaterini Filippidou, Tilman Gocht

How to put on an exhibition

Since the Cyber Valley initiative was established, there has been a controversial debate in Tübingen about research into artificial intelligence (AI) and machine learning. Of all the places in Europe, this picturesque town on the Neckar is supposedly one of the most important centres of AI research? For many, it is hard to imagine.
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May 15, 2023 Kathrin Schwarze-Reiter

Making the world a little bit better with AI

With a PhD in machine learning, the world seems to lie at your feet. But what to do afterwards: academia, the IT-sector, or something else entirely? For Poornima Ramesh, the answer is clear: she wants to use machine learning to improve people’s lives in places where the problems are most urgent. To further this goal, she joined a global advisory, data analytics, and research organization.
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March 21, 2023 Christian Baumgartner , Felix Strnad, Jakob Schlör, Philipp Berens, Alexandra Gessner, Philipp Hennig

How to make business trips more climate friendly

A meeting in Vienna, a lecture in Boston, a conference in London – academic events such as these are a part of researchers’ everyday working lives. They are where researchers meet their scientific communities to discuss their own research, exchange ideas with others and develop new ideas for collaboration. But how do they get to London, Boston, or Vienna?
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October 25, 2022 Sarah Bioly

Predicting future energy supply

We can’t change how much the sun shines or how hard the wind will blow. But if we want to utilise renewable energy better, we need to take into account how weather and climate will change over time. Nicole Ludwig, an expert in machine learning and renewable energy systems, develops models that do just that.
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April 20, 2022 Sarah Bioly

From Cape Town and Khartoum to Tübingen

Different perspectives advance research. Yet Africa is considered all too rarely in this context. A fellowship program for young researchers aims to change that. It brings five talents from African countries to Tübingen to spend half a year working on research projects in machine learning.
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December 6, 2021 Theresa Authaler

Towards AI systems that can explain decisions

Skepticism about the use of AI systems is widespread. Many say the systems are too opaque. Professor for Explainable Machine Learning Zeynep Akata wants to change that - and has made the user’s perspective the focal point of her research.
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July 19, 2021 Nina Himmer

When Artificial Intelligence Predicts a Heart Attack

Algorithms are becoming better and better at analyzing medical images and recognizing diseases. Researchers Christian Baumgartner and Sergios Gatidis – one an expert on artificial intelligence (AI), the other a radiologist – expect that algorithms will fundamentally change doctors’ work.
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July 19, 2021 Theresa Authaler

Responsibility Cannot Be Delegated to an Algorithm

Computer Science Professor Ulrike von Luxburg speaks in an interview about the opportunities and challenges of trimming machine learning systems to fairness. Prof. von Luxburg also explains why she is convinced that people, rather than machines should resolve certain questions.
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