Warning: Undefined array key "post" in /mnt/web013/d1/89/511415689/htdocs/content/themes/ml4s/index.php on line 4 AI Archives — MACHINE LEARNING for science
Warning: foreach() argument must be of type array|object, null given in /mnt/web013/d1/89/511415689/htdocs/vendor/twig/twig/src/Extension/CoreExtension.php on line 1630
Warning: foreach() argument must be of type array|object, null given in /mnt/web013/d1/89/511415689/htdocs/vendor/twig/twig/src/Extension/CoreExtension.php on line 1630

Article Overview

Latest Research
August 22, 2024 Hanqi Zhou, Robert Bamler, Charley M. Wu, Álvaro Tejero-Cantero

Knowledge Tracing for Life-long Personalized Learning

Online learning platforms are popular tools for acquiring new knowledge on our own. However, these platforms have significant shortcomings. We present a new algorithm allowing us to trace the knowledge of learners more accurately, creating opportunities for empowerment by adapting the learning process to their personalized needs.
Read More
Science Stories
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.
Read More
Science Stories
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.
Read More
Latest Research
September 7, 2023 Anna Giron, Charley Wu

Do humans and algorithms learn alike?

When children develop into adults, how they learn changes a lot. While children show a lot of random behaviour, adults perform more goal-directed actions. An influential theory describes these changes as being similar to the behaviour of an optimisation algorithm commonly used in machine learning. This empirical test shows that there are striking similarities but also important differences between human development and machine learning algorithms.
Read More
Debate
August 14, 2023 Tilman Gocht, Martin Krohs

New Directions in Science Communication: The Themed Channel “AI and Sustainability”

“AI and Sustainability” – Since April 4th, 2023, the science and debate platform te.ma has offered the public a discussion forum, a place to ask questions, or simply to inform themselves about the topic. With this new approach, te.ma and the Cluster of Excellence "Machine Learning" aim to provide new impulses in the complicated thicket of science communication that are focused on dialogue with the public.
Read More
Science Stories
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.
Read More
Debate
February 15, 2023 Bubacarr Bah, Philipp Berens, Franca Hoffmann, Audrey Namdiero-Walsh, Wilfred Ndifon

Developing Data Science and Machine Learning in Africa

Research in machine learning and data science in and from Africa has the potential to play a more significant global role and faces unique challenges. The pan-African network of AIMS (African Institute for Mathematical Sciences) and its postgraduate programmes prepare young Africans to contribute towards this goal.
Read More
Latest Research
November 29, 2022 Katja Schwarz

Escaping Plato’s Cave: Teaching machines the 3D nature of our world

Understanding the 3D nature of our world is key to many applications in augmented and virtual reality and simulation. But 3D training data is difficult to obtain. Hence, we develop an algorithm to create 3D graphics that can be trained with 2D images alone. By designing our algorithm such that it can represent 3D data efficiently, we keep the computational cost manageable while moving from 2D images to 3D graphics.
Read More
Debate
September 13, 2022 Larissa Höfling, Ilja Mirsky

Rooting Democracy in the Digital Age

Artificial intelligence (AI) and democracy have many touchpoints. What is unclear, however, is whether AI will strengthen or weaken democracy in the long run. It is about time that we, as researchers and citizens, get more involved and develop ideas for a digitally competent democracy together.
Read More
Latest Research
July 25, 2022 Eric Raidl, Sebastian Bordt, Michèle Finck, Ulrike von Luxburg

Artificial Intelligence (AI) – Should it explain itself?

We are no longer baffled by all the tasks algorithms can perform. And apparently, they are now even able to ‘explain’ their output. But is that something we really want?
Read More

Funded By

Our Partners