Natural language processing (NLP) has demonstrated impressive performance in some human tasks. To achieve such performance, current neural models need to be pre-trained on huge amounts of raw text dat
Die im Vorgängerprojekt „Maschinelles Lernen im Bereich Gebäudedokumentation (ML-BALI-DOK)" (https://www.zukunftbau.de/projekte/forschungsfoerderung/1008187-2026) entwickelten Algorithmen ermöglichen
Beach litter is increasingly considered an important indicator of ocean pollution in international agreements. In the past, numerous methods have been developed to record beach litter. However, these
"Robot, bring me a cup!" This seemingly simple instruction often poses significant problems for robots. A robot can use semantic maps to query the positions of objects, but those objects may not even
Robotics Institute Germany, national joint project of robotics research in Germany, coordinated by TU Munich The Robotics Institute Germany is an initiative by the Federal Ministry of Education and Re
In Antwort auf die Ausschreibung Nr. 10/4.1-2023-0335 der Stadt Gelsenkirchen hat die Westfälische Hochschule ein Angebot „für den Aufbau und Betrieb eines Anwendungszentrums Künstliche Intelligenz fü
Die rasante Entwicklung im Bereich KI, sowohl bei Maschinellem Lernen und sogenannten Large Language Models (LLM), die für die Sprachinteraktion von Bedeutung sind, ermöglichen immer mehr Einsatzgebie
Digital Twins (DTs) have gained significant popularity in various industries due to their real-time representation of physical objects. Recently, interest in applying DTs to environmental science has
Trustworthy AI applications for a secure future Under the leadership of acatech – National Academy of Science and Engineering, MISSION KI aims to strengthen the trustworthiness and reliability of AI a
In order to strengthen the innovation ecosystem for chip design in Germany and to attract more young people to the important field of semiconductor development and chip design, the DI-OCDCpro project