All Posts of the Blog on Machine Learning and Artificial Intelligence

Here you can find all posts of our ML blog from the three categories basics, research and application as well as from all topic series and from all authors. For beginners, experts and practitioners. And everyone who is curious about Machine Learning and Artificial Intelligence!

text simplification | laptop with icon of plain language, person typing on laptop

Let us be clear: Why text simplification matters and what ML can do to help

November 15th, 2023

Vanessa

Toborek

Text simplification is the key to written language accessibility. Discover what it entails, who benefits, and its link to readability assessment. Get an overview of ML approaches for automated text simplification.

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Erklärbarkeit von KI-Systemen für Verbraucher*innen | Explainability of AI systems for consumers

Explanation good, all good? How consumers can be informed about the deployment and functioning of AI systems

November 8th, 2023

Franziska

Busse

Explainable AI is primarily aimed at experts. An expert group of the CTAI has determined: Explainable AI – in combination with other measures – can also be helpful for the information of consumers and citizens.

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Menschenzentriertes maschinelles Lernen verknüpft menschliche und Computerintelligenz mithilfe von Visual Analytics.

Towards human-centred Machine Learning

October 25th, 2023

Gennady

Andrienko

Natalia

Andrienko

Human-centered machine learning merges human and computer intelligence with visual analytics (VA). This enhances collaboration between experts and machines and promises a deeper understanding and a more effective use of ML models.

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00_Blog_Justrie_Stephanie_KI-Bildung_Ada_Lovelace_Projekt

Creators of the Future: Discovering STEM Subjects and Mastering Digital Media

October 11th, 2023

Stephanie

Justrie

How do I become a shaper of the (digital) future? The Ada Lovelace Project helps girls & women discover STEM subjects and their own potential – true to the motto of its namesake: What I want, I can do!

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Guided Reinforcement Learning – Deployed for Dynamic Locomotion of a Two-Wheeled Robot

October 4th, 2023

Julian

Eßer

Guided RL aims at learning control policies for real-world robots in an efficient and effective way. We showcase how to practically apply it to the task of learning dynamic locomotion for a two-wheeled robot.

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AI4Schools, KI-Bildung in der Oberstufe | AI4Schools, AI education in High School

AI4Schools – AI Education for High School Students

August 23rd, 2023

Editorial team

Lamarr

Artificial intelligence as a topic still hardly finds a place in the school context. The AI4Schools project wants to change that: AI workshops teach both students and teachers about AI systems and educate them about career opportunities.

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KI-Bildung in der Grundschule mit der Roberta-Initiative

AI education – Roberta® excites children for STEM subjects already in elementary school

August 8th, 2023

Thorsten

Leimbach

We need to get young people excited about subjects like coding, robotics and AI at an early stage in order to secure the next generation of qualified specialists! The Roberta® initiative of Fraunhofer IAIS offers a solution.

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Guided Reinforcement Learning – Application to three Robotic Tasks

July 26th, 2023

Julian

Eßer

Guided RL aims at learning control policies for real world robots in an efficient and effective way. We showcase how the introduced modular toolbox can be applied to three different robotic tasks.

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Guided Reinforcement Learning – Towards Efficient and Effective Real-World Robotics

July 12th, 2023

Julian

Eßer

Guided Reinforcement Learning describes a concept for learning control policies of intelligent robots. By incorporating additional knowledge, the training process becomes more data-efficient and effective for real-world robotics.

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Introduction to Reinforcement Learning – A Robotics Perspective

July 5th, 2023

Julian

Eßer

Reinforcement Learning is a data-driven approach to learn intelligent behaviors through trial and error interaction with the environment. Related to robotics, it offers new chances for learning robot control under uncertainties for challenging robotic tasks.

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Was kann das und was kostet es? KI für die Vorhersage von Produkteigenschaften

What is it capable of and what does it cost? AI for the prediction of product features

June 28th, 2023

Andreas

Pauly

How much does my custom-made product cost? These and other factors are essential for the purchase decision for a particular manufacturer. For the latter, however, the calculation is time-consuming. Machine learning can speed up this process tremendously.

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Explainability Methods for Point Clouds II

June 14th, 2023

Hanxiao

Tan

Two different approaches to point cloud interpretability are proposed, which elucidate the properties of the model from global and model-internal perspectives, respectively. All toolkits are now available on GitHub.

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