Aleph Alpha Research and TU Darmstadt (TUDA) announce a new collaboration, Lab 1141, to advance development of explainable, safe, and transparent Generative Artificial Intelligence (GenAI). The initiative aims at further improving Aleph Alpha’s product portfolio, strengthening the IPAI ecosystem, and enhancing AI explainability, safety, and transparency for real-world applications. 

Lab 1141 is a partnership that aims to close the gap between academic research and industrial development towards safe and transparent GenAI, as well as advance worldwide explainable AI research by contributing to the open research community. 

TUDA is one of the few select academic research institutes cooperating with the German Research Centre for Artificial Intelligence (DFKI). It is a hallmark of excellence for collaboration and technology transfer between science and providers of real-world applications. Lab 1141 constitutes new PhD positions at TUDA funded through dedicated Aleph Alpha Research Fellowships, complemented by Industrial PhD roles embedded in the team. The collaboration further fosters cooperation and exchange through multiple mechanisms such as, e.g., collaborative symposiums, or PhD internships at Aleph Alpha. 

Aleph Alpha’s industrial research & development expertise as well as data and compute resources combined with TUDA’s scientific expertise and academic talent yield innovations that address European values and needs in sovereignty, explainability and transparency of GenAI technology. 

Dr. Yasser Jadidi, Co-CRO at Aleph Alpha Research: “Expanding our mutual commitment with TU Darmstadt in the Lab1141 is an important step forward in making AI more explainable and providing GenAI innovations that address European values and industrial and GovTech needs. Combining our GenAI innovation culture and expertise with TUDA’s academic capabilities, we aim at raising the bar in AI explainability research.”

Prof. Kristian Kersting, head of AI&ML at TUDA: “Our partnership with Aleph Alpha Research provides great opportunities for our researchers and PhD candidates. Lab1141 not only enhances our research capabilities, but also ensures that our work results in practical real-world applications and is therefore a key initiative to close the gap between academia and industry.” 

The Technical University of Darmstadt is a synonym for excellent, relevant science. Global transformations – from the energy transition via Industry 4.0 to artificial intelligence – are posing enormous challenges. The Technical University of Darmstadt is playing a crucial role in helping to shape these far-reaching processes of change with outstanding insights and forward-looking study opportunities. 

Since its foundation in 1877, the Technical University of Darmstadt has been one of Germany’s most international universities; as a European technical university, Technical University of Darmstadt is committed to European values and European integration. Its home is the metropolitan region Frankfurt-Rhine-Main. With its partners in the Alliance of Rhine-Main Universities, the Technical University of Darmstadt continues the development of this globally attractive science location.  

The Technical University of Darmstadt’s cutting-edge research is pooled in three fields: Energy and Environment, Information and Intelligence, Matter and Materials. Large-scale, problem-based interdisciplinarity involving the engineering sciences, natural sciences, humanities and social sciences is the hallmark of Technical University of Darmstadt’s research and study. 

https://www.tu-darmstadt.de/universitaet/index.en.jsp 

Aleph Alpha Research is the research arm of Aleph Alpha. The company conducts research in the field of large language models and generative AI, enabling the company and its customers to harness the potential of trustworthy, accessible, transparent and explainable AI. As part of the IPAI ecosystem, research is conducted in collaboration with academic and industrial partners and in close coordination with Aleph Alpha. The developed models and algorithms and the source code used for training are made freely available for research and educational purposes.

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