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Universities from Munich and Dresden work together on AI research project GAIn

Universities from Munich and Dresden want to jointly research ways to make AI applications even more successful. (Archive image) / Photo: Oliver Berg/dpa
Universities from Munich and Dresden want to jointly research ways to make AI applications even more successful. (Archive image) / Photo: Oliver Berg/dpa

Over the next three years, three universities from Munich and Dresden want to work on making the use of artificial intelligence even better. This also involves energy consumption.

Universities from Munich and Dresden want to advance the use of artificial intelligence (AI) in the joint research project GAIn (Next Generation Al Computing). Specifically, the three-year collaboration between Ludwig-Maximilians-Universität München (LMU), Technische Universität München (TUM) and Technische Universität (TU) Dresden will focus on the further development of current hardware platforms for AI applications. Both Free States are funding the project with three million euros each.

"With the GAIn research project, we want to give Saxony and Bavaria an international
leading role in central computing technologies and thus also make a
contribution to Germany's technological sovereignty," said Saxony's Science Minister Sebastian Gemkow (CDU).

Creating a foundation for things that are not yet imaginable

His Bavarian colleague Markus Blume (CSU) emphasized: "With constantly growing requirements in medicine, robotics and communication, our technological progress must also increase in scale. Energy-efficient hardware and pioneering software concepts are our key to this." Even if it is not yet possible to imagine what will one day be possible, a foundation for this must be laid now.

The rapid progress in the field of artificial intelligence in recent
years has shown worldwide that the application of AI and technologies based on it
is largely dependent on the hardware platforms used, the statement continued. In the long term, AI applications face challenges in the
areas of energy consumption, predictability, reliability and the implementation
of legal requirements.

Fears of problems in the further development of AI applications

According to scientists at LMU, TU Munich and TU Dresden, these could no longer be fully overcome with the current hardware. This could severely restrict further developments in areas such as communication, medicine and robotics or - in the case of the energy problem - even bring them to a standstill.

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