DWIH Focus Topic for 2019: Artificial Intelligence

© iStock

Artificial intelligence (AI) is currently being discussed more intensively worldwide than almost any other topic. This is why the German Centres for Research and Innovation are addressing AI in their activities in 2019 and exploring central aspects of AI in their host countries.

Global relevance

For Germany as a country of research and innovation, issues relating to the subject of artificial intelligence play a central role. In all five DWIH host countries, artificial intelligence in science and research is also being explored from every conceivable perspective. The DWIH are ideally suited as forums for fostering an interdisciplinary and international exchange on the important future topic of AI.

The Board of Trustees of the DWIH network has therefore selected artificial intelligence as the overarching focus topic for all five DWIH in 2019. Together with its supporters, each DWIH will thus pursue a variety of activities relating to this topic, creating springboards for further cooperation in the future.

Artificial intelligence is the DWIH network’s annual focus topic

Further information about the choice of the DWIH focus topic for 2019 can be found on the DWIH network’s website.

Brazil: digitising agriculture

German-Brazilian exchange in the field of artificial intelligence revolves in particular around digital innovations in agriculture. This was a topic that was also addressed by the “Agro 4.0” workshop in São Paulo in 2018, which was organised by the DWIH São Paulo in cooperation with the Fraunhofer Liaison Office Brazil and the German-Brazilian Chamber of Commerce and Industry.

The DWIH São Paulo presents networked research

“One of the big advantages of Agriculture 4.0 is the use of software systems”, stresses Dr Pablo Oliveira Antonino, department head at the Fraunhofer Institute for Experimental Software Engineering.

Dr. Pablo Oliveira Antonino, Fraunhofer IESE
"Software systems allow any weak points to be identified in an agricultural field. The use of cameras, drones and AI systems enables the specific diagnose of any parts of a field where crops are not growing so well."
Dr Pablo Oliveira Antonino, Fraunhofer IESE


Once the data has been transmitted to the system, the agricultural equipment can focus on individual areas. As Antonino explains, this is increasingly turning machine manufacturers into software firms.