On June 23 and 24, 2025, the second edition of “AI in the Life Sciences – An Industry Symposium” will take place at Schloss Birlinghoven in Sankt Augustin, Germany. The symposium, organized by Fraunhofer SCAI and the Bonn-Aachen International Center for Information Technology (b-it), brings together leading experts in artificial intelligence (AI) and life sciences.
Deußer, T., Leonhard, D., Hillebrand, L. P., Berger, A., Khaled, M., Heiden, S., Dilmaghani, T., Kliem, B., Loitz, R., Bauckhage, C., & Sifa, R. (2023). Uncovering Inconsistencies and Contradictions in…
The past decade of AI was largely driven by one question: how to make large language models work at all. How to scale them, stabilize them, and push their capabilities far enough to be usable.
A wonderfully diverse and international group that enriches our community year after year. As always, a major highlight: The legendary Kahoot quiz, bringing lots of fun, teamwork, and maybe even the beginning of new friendships.
A major success for the b-it: The European Research Council (ERC) is providing millions of euros for projects in the fields of computer science, economics, and evolutionary biology. Prof. Dr. Lucie Flek from Data Science & Language Technologies Group has been awarded with the popular EU funding to continue her research on social parameters in AI.
A study by the b-it proves that transformer models used in chemistry learn only statistical correlations.
New study on “Automatic evaluation of cataract surgery videos for optimized training & competition” by Prof. Dr. Thomas Schultz.
On June 23 and 24, 2025, the second edition of “AI in the Life Sciences – An Industry Symposium” will take place at Schloss Birlinghoven in Sankt Augustin, Germany. The symposium, organized by Fraunhofer SCAI and the Bonn-Aachen International Center for Information Technology (b-it), brings together leading experts in artificial intelligence (AI) and life sciences.
New publication of b-it Professor Dr. Jürgen Bajorath in the journal “Cell Reports Physical Science” shows how science can benefit from AI and what scientist need to look out for.
The past decade of AI was largely driven by one question: how to make large language models work at all. How to scale them, stabilize them, and push their capabilities far enough to be usable.