Consortium

The German Research Center for Artificial Intelligence (DFKI) was founded in 1988 as a non-profit public-private partnership and now has around 40 Million annual turnover and 500 full-time employees. It has research facilities in Kaiserslautern, Saarbrücken, and Bremen and a project office in Berlin. It is the largest European research center devoted solely to Artificial Intelligence and its applications. Research and development projects are conducted in seventeen research departments and research groups, which cover a broad range of AI-related areas, from Deep Learning fundamentals through Robotics, the Internet of Things, Industry 4.0, and autonomous driving to Human-Computer Interaction. Funding is received from government agencies like the European Union, the Federal Ministry of Education and Research (BMBF), the Federal Ministry for Economic Affairs and Energy (BMWi), the German Federal States, and the German Research Foundation (DFG), as well as from direct cooperation with industrial partners. Beyond academic excellence, DFKI sees its mission as making a real-world impact and facilitating the effective transfer of cutting-edge technology to the European industry. Since its founding 30 years ago, 60 spin-off companies have resulted from DFKI projects. DFKI has a long history of complex AI and ML-based applications in real-world environments. The Embedded Intelligence Lab in Kaiserslautern that leads the DFKI participation in Allegro focuses on extracting context information on complex real-world processes from noisy sensor data and building adaptive context-sensitive services on top of such information. In previous EU projects such as SimpleSkin, ALLOW Ensembles, and CIMPLEX or EIT Digital Smart Construction, a variety of such systems were developed. DFKI has a strong interest in Agriculture, including past projects such as iGreen (BMBF) and RAPR (EU EFRE). To bundle smart agriculture projects, DFKI as an institution operates a Competence Center on Smart Agriculture (CC-SAT saaat.dfki.de).

DFKI will be in charge of the connecting AML with sensor based activity and situation recognition and the construction of respective world models (WP 5)