Research Associate Nature-Inspired Machine Learning (NIMI) Preetam, a researcher at the ScadDS.AI center, focuses on investigating the factual accuracy of large language models. His research is uniquely centered on human and mind-inspired intelligence to refine the precision of these language models. Within [...]
Research Associate Nature-Inspired Machine Learning (NIMI) She is a research associate at TIB. Her research centers on representation learning for knowledge graphs, language models, and reinforcement learning. She is passionate about enhancing AI's reasoning abilities and contributing to the advancement of Artificial [...]
DAAD Research Nature-Inspired Machine Learning (NIMI) Wiem Gargouri holds a DAAD scholarship to do a research visit at NIMI. She is joining us from the Institut Supérieur des Sciences Appliquées et de Technologie de Sousse (Higher Institute of Applied Science and Technology [...]
The overall objective of e-VITA is to improve well-being in older adults in Europe and Japan and thereby promote active and healthy ageing, contribute to independent living, and reduce risks of social exclusion of older adults. The multidisciplinary consortium collaborating in this project will develop an innovative ICT-based virtual coaching system to detect subtle changes in physical, cognitive, psychological and [...]
Invasive mechanical ventilation is one of the most important and life-saving therapies in the intensive care unit (ICU). In most severe cases, when mechanical ventilation alone is insufficient, extracorporeal lung support is initiated. However, mechanical ventilation is recognised as potentially harmful, because inappropriate mechanical ventilation settings in intensive care unit patients are associated with [...]
Artificial Intelligence (AI) is already part of our lives and is extensively entering the space sector to offer value-added Earth Observation (EO) products and services. Copernicus data and other georeferenced data sources are often highly heterogeneous, distributed and semantically fragmented. Large volumes of satellite data (images and associated metadata) are frequently coming to the Earth [...]
Intensive care patients with acute respiratory failure usually need support of lung function, which is accomplished with mechanical ventilation and, in most severe cases, extracorporeal gas exchange. Although mechanical ventilation is a life-saving therapy, it has the potential to worsen lung injury and impair the hemodynamics. Currently, there are different strategies to protect the lungs from [...]
Student assistant Nature-Inspired Machine Learning (NIMI) Abrar Hyder is a student assistant in the E-vita project and works on building dialogue systems for elderly people. He is heavily involved in data preparation, and system maintenance. [...]
Student Assistant Nature-Inspired Machine Learning (NIMI) Qasid Saleem has been working on several projects, and has a broad range of skills, from reinforcement learning, to knowledge graphs and language models. Qasid finished his master thesis also in the NIMI group on link [...]
Student Assistant Nature-Inspired Machine Learning (NIMI) Prathmesh Dudhe is a master student of TU Dresden and working on the IntelliLung project. He is working on data preparation and exploration of reinforcement learning-based algorithms for supporting improvement of clinician decisions in intensive care [...]
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