The Chair of Business Informatics at Saarland University and the research department Smart Service Engineering at the German Research Center for Artificial Intelligence (DFKI), led by Prof. Dr.-Ing. Wolfgang Maaß, investigate artificial intelligence can be used for adaptive service designs and innovative business solutions. In collaboration with research and industrial partners, results are applied in domains such as industrial manufacturing, crisis management, healthcare, wellness, and sports, among others.
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Presentation of Project INTE:GRATE to the Transport Committee of the Saarland State Parliament | |
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Mobility in rural areas often revolves around individualized solutions, such as private cars, creating challenges such as traffic congestion, environmental strain, and restricted access for socially disadvantaged and physically impaired individuals. To address these issues, the INTE:GRATE project is setting out to transform mobility in Saarland by offering groundbreaking transparency and data-driven decision support for policymakers, businesses, and public transportation providers. The project aims to analyze and understand the current state of system transport in Saarland, offering insights into the factors driving strong individualization in rural mobility. By leveraging innovative AI-based services, INTE:GRATE will provide actionable recommendations to shift from individual to system-oriented mobility, focusing on inclusivity and efficiency. Through aggregating diverse data streams—including movement data, demographic trends, mobility app usage, infrastructure data, and economic indicators—INTE:GRATE will distill this information into district-level insights. The project will identify mobility patterns and influencing factors, enabling smarter traffic bundling, enhanced mobility efficiency, and strengthened social and cultural participation, particularly for marginalized groups. Key objectives of the INTE:GRATE project include: - A detailed analysis of current transport systems in Saarland. - Development of AI-driven decision support tools to guide stakeholders. - Tailored recommendations to improve system mobility and ensure equal access for all citizens, regardless of their physical or social status. Presentation of Results at the Saarland State Parliament The project reached an important milestone today as its preliminary results were presented to the Transport Committee of the Saarland State Parliament by Prof. Wolfgang Maaß. This presentation marked a significant step in fostering dialogue with policymakers and stakeholders, providing them with actionable insights and recommendations to drive meaningful change in regional mobility. The outcomes of this initiative promise a mobility revolution in Saarland, paving the way for a sustainable, inclusive, and efficient transportation future. Collaboration and Funding The INTE:GRATE project is a collaborative effort with the HTW University of Applied Sciences and is funded by the European Regional Development Fund (EFRE) of the European Union.
Published on: 2025-02-14
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Keynote: The Future of AI in Europe: How AI Changes the Economic Landscape | |
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Berchtesgaden, January 2025 – At the prestigious valantic Digital Excellence Forum 2025, Professor Wolfgang Maaß delivered an insightful keynote on the future of artificial intelligence in Europe and its profound impact on the economic landscape. The event brought together industry leaders, AI researchers, and digital transformation experts to discuss cutting-edge developments in AI and their implications for businesses and society. Professor Maaß began his talk with an overview of the industrial and scientific state of the art in AI, highlighting key advancements in deep learning, reinforcement learning, and explainable AI. He emphasized how AI is no longer an emerging technology but a critical driver of industrial innovation and economic transformation. A major highlight of his presentation was the discussion on Deepsearch R1, an AI breakthrough that had been released just days prior. Professor Maaß provided an analysis of its capabilities and potential applications, demonstrating how such advancements are accelerating the integration of AI into business intelligence, automation, and research processes. Following this, he turned to AI agents and their increasing importance across industries. He explained how AI-driven autonomous systems are reshaping supply chains, financial markets, healthcare, and manufacturing, driving efficiency and innovation. He emphasized that companies need to adapt quickly to leverage AI’s potential, or risk falling behind in a rapidly evolving digital economy. The final section of his talk focused on the future of AI and Quantum Machine Learning (QML). Professor Maaß outlined how QML could revolutionize optimization problems, material discovery, and financial modeling, paving the way for unprecedented computational capabilities. While quantum computing is still in its early stages, he stressed that companies and researchers should already be preparing for its transformative effects. Concluding his presentation, Professor Maaß offered an optimistic outlook on Germany’s position in AI research and startups. He highlighted the strong academic foundations, vibrant AI ecosystem, and increasing investments in AI-driven ventures, positioning Germany as a key player in global AI innovation. The valantic Digital Excellence Forum 2025 proved to be a crucial platform for discussing the future of AI in Europe. Professor Maaß’s keynote left attendees with valuable insights into the rapid advancements in AI, the strategic importance of AI agents, and the transformative potential of quantum computing. His final remarks reinforced the positive trajectory of European AI development, urging businesses and policymakers to embrace AI-driven opportunities for sustainable economic growth.
Published on: 2025-02-06
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NeurIPS 2024: Three papers | |
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Three papers at NeurIPS 2024, Vancouver, Canada. NeurIPS is one of the leading AI conferences with about 16.000 participants. (1) Maxx Richard Rahman, Ruoxuan Liu, and Wolfgang Maass: Incorporating Metabolic Information into LLMs for Anomaly Detection in Clinical Time-Series (2) Prajvi Saxena, Sabine Janzen and Wolfgang Maass: Adaptive Knowledge Distillation for Efficient Domain-Specific Language Models. (3) Cicy Kuriakose Agnes and Wolfgang Maass: From Stateless to Adaptive: Dynamic Personalization for Conversational Language Models.
Published on: 2025-01-01
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