TIM, BIT, TUMCS

TUMCS professors involved in future study

The future study DAS DEEP TECH MANIFEST: WECKRUF FÜR EINEN SCHLUMMERNDEN RIESEN: How we lead Deep Tech in Germany to sustainable success was recently presented in Munich. Two professors from TUMCS, Prof. Claudia Doblinger (Technology and Innovation Management) and Prof. Dominik Grimm (Bioinformatics), were involved in the 9th future study. Both were members of the expert panel in the field of research institutions.

Under the patronage of the Bavarian Ministry of Economic Affairs, Regional Development and Energy and with leading consortium partners from industry, the MÜNCHNER KREIS has published the 9th instalment of the future study. The study is dedicated to the question of how Germany can become a leading deep tech nation. It examines Germany as a business location in the context of the deep tech revolution and provides orientation for a sustainable future through technological innovations. The result is THE DEEP TECH MANIFESTO – a wake-up call for a slumbering giant. The study's findings show that Germany (still) has the potential to take a leading international position in deep tech. However, this requires a fundamental reorientation of research and innovation in order to focus activities and investments more strongly on deep tech.

Enormous efforts are needed to get back into the safe operating space for humanity. Technological progress, especially in the area of deep tech innovations, plays a central role here. One example among many to illustrate the potential is provided by Prof. Dominik Grimm from the TUM Campus Straubing and the Weihenstephan-Triesdorf University of Applied Sciences. He estimates that the AlphaFold 3 AI model published by Alphabet and Google in 2024 will lead to major breakthroughs in bioinformatics and structural biology. The ability to predict protein structures accurately and quickly could significantly accelerate and optimise the development of new bio-based technologies and products. This could enable a bio-based economy in which fossil raw materials are replaced by renewable biological resources.

 

The statement from Prof. Grimm in full

"AI models like AlphaFold 3 offer tremendous added value in the search for new enzymes or proteins. Generative AI models can be used to narrow down and optimise the enormous search space of potential candidates and make the process significantly faster and more efficient than with conventional laboratory approaches. This will be an important building block in moving away from a petroleum-based industry and towards a bio-based industry.’ – Prof. Dr. Dominik Grimm (Professorship Bioinformatics, TUM Campus Straubing)

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