“Made in Germany” or: artificial intelligence from Germany
When it comes to the development of artificial intelligence, Germany only seems to play a minor role. But there are already some AI companies with potential in this country.
If we look at the development of artificial intelligence, Germany hardly seems to play a role. In the past few weeks and months, one AI headline has been chasing the next. But the origin of all these reports is (almost) always in the United States. There is Germany not so insignificantwhen it comes to AI development.
When it comes to systems for generating deceptively real images, for example made Stable diffusion talk about yourself. The tool accepts any text input and generates a coherent image file from it. However, the algorithm behind it does not come from a start-up in Silicon Valley, but from the Ludwig Maximilian University (LMU) in Munich.
Artificial intelligence from Germany
The Zeta Alpha platform recently evaluated the 100 most important research papers on the subject of artificial intelligence. With fourth place, Germany did comparatively well. The LMU is therefore not the only institution making progress in AI research.
The start-up Aleph Alpha from Heidelberg, for example, has developed the Luminous language model, which generates new content from existing data. Investors see such great potential in the tool that Aleph Alpha is hoping for a cash injection of over 100 million euros. SAP, Germany’s largest IT group, is also considering participating in the start-up.
With DeepL, Germany has a pure AI unicorn
But the most well-known tool is DeepL. The translator sometimes even delivers significantly better results than Google or other tools and has therefore become a real alternative, not only in this country. With a valuation of over one billion US dollars, DeepL is also the only AI unicorn in Germany.
Germany as a development location has both advantages and disadvantages. For example, German companies are sitting on a gigantic treasure trove of data. Information generated in this country is also often of high quality and therefore serves as ideal training material for algorithms.
But there are also stumbling blocks: for example, high personnel costs and the restrictions of the General Data Protection Regulation (GDPR). Just recently, Italy banned the use of ChatGPT over privacy concerns.
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