You are here:
build, play, hack, share, learn and have fun! It’s not all about creating finished products, it’s about sharing your ideas with other participants, building inspiring hacks, learning from each other and just
Section: FB3
estimate. This is where the project Arthrokinemat comes in which concerns the "Development of a learning, adaptive, sensor-based measurement system to prevent arthrosis activation when the knee joint is [...] in terms of visual, acoustical and tactile output. As soon as the load exceeds an automatically learned individual threshold, the Arthrokinemat warns its users and thus protects them from stress-induced
University of Örebro for his outstanding achievements in the fields of artificial intelligence, machine learning and robotics. Michael Beetz has made an international name for himself with his research in the [...] University of Bremen. The IAI conducts research on automated control methods for robots. They should learn to implement abstract instructions independently and thus become everyday helpers. Another important
de Tel: +49 (0)421 218-64419 Google Scholar ORCiD Research Interests Data processing with machine learning infrastructures for explorative data analysis processing of astronomical data usability in scientific [...] has always had a great interest in working with astronomical data. She is interested in machine learning methods to analyze astronomical data and software applications that combine artificial and human
Environment Ubica’s autonomous scanning robots use state-of-the-art artificial intelligence and machine learning to generate the virtual environment in the form of digital twins. “What’s especially unique about [...] explains Beetz. This capability is made possible by a combination of semantic models and data-driven learning algorithms. So far, no comparable technologies exist in stationary retail. “Our robots enable a [...] connection of shopping apps is also a conceivable prospect in the future. “With the help of machine learning and big data, Ubica offers the opportunity to develop innovative service offerings for customers
inhomogeneous cable and pipe products using innovative approaches from the field of Machine Learning (ML) or Deep Learning (DL) in the form of Convolutional Neural Networks (CNN). Basically, a distinction is [...] ML-X-RAY - Machine learning and X-ray technology for measuring inhomogeneous cable and pipe products © SIKORA AG Researcher: Maximilian Schmidt,Judith Nickel, Matthias Beckmann, Gaël Rigaud Project funding:
agent and its behaviour itself. The participants will deal with questions in the areas of machine learning, automatic analysis of voice and video, and real-time processing of large data streams. In order [...] the acquisition of attention based on facial expressions. Modern tools from the field of machine learning and image processing are also used for this purpose. For speech processing, our speech recognition [...] the focus. Daniel Reich Universität Bremen Recommended events for preparation Basics of machine learning (SS 2019, Bachelor) Biosignals and user interfaces (SS 2019, Bachelor) Automatic speech recognition
sensitive data is used in compliance with ethical and privacy conditions to drive machine learning (ML) and deep learning (DL) models. The aim is to gain causal insights to uncover the causes of complex diseases [...] and Professor Marvin N. Wright (Statistical Learning, BIPS). The research group is also supported by the new cooperative professorship in “Machine Learning in Statistics” at the interface between AI and
reliable learning systems are not ChatGPT or any of the other machine learning systems that are currently attracting so much attention. In fact, it is us humans: through interaction with others, we learn from [...] JRC), the expertise of the three strong research partners will make new ways of interaction and learning possible between humans and machines. Unprecedented in Germany, the center for co-constructive AI
Join us as our very own Maria Grandury, herself a Machine Learning Research Engineer, interviews Sandra Hernandez, Systems Engineer at NASA JPL, and Mihaela Popescu, Research Assistant at DFKI (German