Uni Tübingen

A Blog by Machine Learning Cluster
Latest Research
July 25, 2022 Eric Raidl, Sebastian Bordt, Michèle Finck, Ulrike von Luxburg

Artificial Intelligence (AI) – Should it explain itself?

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Latest Research
July 15, 2022 Matthias Karlbauer, Timothy Praditia, Sebastian Otte, Sergey Oladyshkin, Wolfgang Nowak, Martin V. Butz

Fusing Physical Knowledge with Neural Networks’ Flexibility

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Science Stories
April 20, 2022 Sarah Bioly

From Cape Town and Khartoum to Tübingen

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Latest Research
February 21, 2022 Robert Geirhos

Do machines see like humans? They are getting closer

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Debate
December 15, 2021 Bob Williamson

AI as Mediator

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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?
Science Stories
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.
Debate
December 15, 2021 Bob Williamson

AI as Mediator

There is currently much debate about the ethics of Artificial Intelligence (AI), with one widespread view holding that AI should never be used to make consequential decisions affecting people. In this blog post, I suggest that on the contrary, rather than worrying about AI “making decisions” about us, we should should pay more attention to who commissioned the chain of technological action using AI rather than the technology itself.

Article Overview

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
Science Stories
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.
Read More
Debate
December 15, 2021 Bob Williamson

AI as Mediator

There is currently much debate about the ethics of Artificial Intelligence (AI), with one widespread view holding that AI should never be used to make consequential decisions affecting people. In this blog post, I suggest that on the contrary, rather than worrying about AI “making decisions” about us, we should should pay more attention to who commissioned the chain of technological action using AI rather than the technology itself.
Read More
Latest Research
October 6, 2021 Philipp Berens, Dmitry Kobak

First comprehensive atlas of neuron types in the brain

With hundreds of scientists, we have explored the properties of different neuron types in mice, monkeys and humans using novel experimental techniques and machine learning methods for data analysis. The result is a unique overview of the motor cortex in the brain and its evolution.
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Debate
July 19, 2021 Thomas Grote

Where Algorithms and People Are Allies

Who makes better medical diagnoses, an algorithm or a human? A philosopher specialized in technology, Thomas Grote, says viewing this as a rivalry isn’t productive. He argues in favor of focusing on the interplay of the two – and emphasizes the significance of philosophy.
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Science Stories
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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Latest Research
July 18, 2021 Tobias Rentschler , Ulrike Werban , Sandra Teuber, Karsten Schmidt , Thomas Scholten

Using Machine Learning for 3D Soil Mapping

Spatial soil variability makes a farmer's daily business challenging as it leads to varying growth conditions for field crops. Machine learning can help to map soil properties so that farmers can adapt fertilizing and irrigation management in a time- and cost-efficient way.
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Latest Research
July 15, 2022 Matthias Karlbauer, Timothy Praditia, Sebastian Otte, Sergey Oladyshkin, Wolfgang Nowak, Martin V. Butz

Fusing Physical Knowledge with Neural Networks’ Flexibility

Diffusion processes in nature are highly complex, and scientists strive to understand them in detail. With a new physics-aware neural network, we were able to model and predict such processes much more precisely than previously possible.
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Latest Research
February 21, 2022 Robert Geirhos

Do machines see like humans? They are getting closer

Machines may drive you to work one day, but they currently still fail when faced with unusual situations or noisy data. That’s because machines see the world very differently from humans - but this gap is starting to narrow.
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Latest Research
January 21, 2022 Linda Behringer, Maximilian Dax, Elke Müller

Machine Learning Decodes Tremors of the Universe

Researchers train a neural network to estimate – in just a few seconds – the precise characteristics of merging black holes based on their gravitational-wave emissions. The network determines the masses and spins of the black holes, where in the sky, at what angle, and how far away from Earth the merger took place.
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Science Stories
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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Latest Research
September 7, 2021 Artur Speiser

Machine Learning Improves
Super-resolution Microscopy

Single-molecule localization microscopy is a powerful method to image cellular structures with nanometer resolution. We developed DECODE, a deep learning based analysis algorithm that makes this technique faster and more precise.
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Latest Research
July 19, 2021 Michael Deistler, Jonathan Oesterle

Identifying Models in
Neuroscience with Machine Learning

Computer models are a great tool to analyze neuronal mechanisms in the brain, but tuning these models to match brain activity has long been a daunting task for scientists. We developed a new machine learning tool that automates this process and used it to develop a simulation environment for a retinal implant.
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Science Stories
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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Latest Research
July 18, 2021 Agustinus Kristiadi , Philipp Hennig

Painless Uncertainty for Deep Learning

The Bayesian formalism can add uncertainty to deep neural networks. But Bayesian deep learning has a reputation as cumbersome and expensive. No longer. Recent results show how to achieve calibrated uncertainty in deep networks efficiently, without affecting their predictive performance.
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