Press Releases

With the JUPITER AI Factory, a central pillar of Europe’s AI infrastructure is being established in Jülich. Several leading German AI institutions have joined forces for the collaborative project, including Fraunhofer IAIS.

Fraunhofer IAIS has now joined the long-standing research partnership and is contributing its expertise in the field of artificial intelligence (AI).

The large language model of the OpenGPT-X research project is now available for download on Hugging Face: "Teuken-7B" has been trained from scratch in all 24 official languages of the European Union (EU) and contains seven billion parameters. Researchers and companies can leverage this commercially usable open source model for their own artificial intelligence (AI) applications.

As Central Europe’s first scientific conference on Artificial Intelligence for application in industry and logistics in particular, “AI24 – The Lamarr Conference” connects science and business on the regional, national and international stage. The conference will take place on September 4 and 5, 2024 in cooperation with the “Zukunftskongress Logistik” in Dortmund’s Westfalenhallen. Highlights of the two-day program include keynote and introductory lectures by internationally renowned experts from research, business and politics, the presentation of the “Lamarr Award” to Prof. Dr. Dr. h.c. mult. Sebastian Thrun as well as themed sessions, panel discussions and workshops on current developments, global trends and innovative applications of Artificial Intelligence.

8.8 million hours of computing capacity on the new high-performance computer MareNostrum 5 at the Barcelona Supercomputing Center: The goal of the EuroLingua-GPT project is to train large multilingual open-source language models.

At the Hannover Messe 2024, Fraunhofer IAIS and Fraunhofer Big Data AI Alliance will present two exhibits on trustworthy AI solutions.

The new white paper "Artificial intelligence in the trauma room: How LLM agents and foundation models can help with the treatment of severely injured patients" explains how AI can relieve the burden on the healthcare team.

Moving away from resource-intensive visual and manual quality control and toward efficient inspection using a magnetic field and AI.