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HUMAINE Competence Center Celebrates Milestones and Launches Network at Spring Fair

The HUMAINE Competence Center hosted its annual public milestone meeting through a Spring Fair on April 11, 2024, drawing approximately 150 participants and consortium partners at the ZESS research building. The following day, exhibitors from the HUMAINE network engaged a keen audience of students and graduates at a career fair focused on AI applications.

This year's event showcased the interdisciplinary efforts of the center over the past three years, highlighting significant advancements in integrating AI into operational processes. Experts from fields including labor sciences, psychology, computer science, and engineering presented alongside practical partners, demonstrating the latest project outcomes and tools developed to enhance workplace productivity, quality, and design.

A major highlight was the establishment of the HUMAINE Network e.V., aimed at sustaining the center's impact beyond its current project phase. This network will facilitate ongoing regional transfers of technology and knowledge, ensuring continued collaboration and innovation in the Ruhr area.

Professor Bernd Kuhlenkötter and Mayor Züleyha Demir provided opening remarks, emphasizing the rapid technological growth in the region. The event also featured over 20 exhibits, allowing attendees to interact with new AI applications and the HUMAINE Toolbox, including advancements in speech recognition, digital product-service systems, and quality assurance image recognition.

The success of the Spring Fair and the enthusiastic participation highlight HUMAINE's role as a pivotal regional network bridging scientific research and practical application, fostering ongoing development in AI within the Ruhr area.

Additional Information at https://humaine.info/rueckblick-humaine-fruehjahrsmesse-2024/

The Institut für Neuroinformatik (INI) is a central research unit of the Ruhr-Universität Bochum. We aim to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory systems and while acting in those environments through effector systems. Inspired by our insights into such natural cognitive systems, we seek new solutions to problems of information processing in artificial cognitive systems. We draw from a variety of disciplines that include experimental approaches from psychology and neurophysiology as well as theoretical approaches from physics, mathematics, electrical engineering and applied computer science, in particular machine learning, artificial intelligence, and computer vision.

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