Good to know

Science need not always be complicated or even incomprehensible! Here we want to show you that it can be done in a completely different way: easy-peasy to understand and accessible for everyone.

We talk directly to the researchers, find out how and why microelectronics works and together with you we will find answers to the big and small questions at our research institute. Backstage at Fraunhofer IZM, so to speak.

On this page you will find insights into current projects, tips from practicing researchers and everyday things from our institute - all with a little technical tic. In addition, the small µ has come to join us - as a symbol for exactly the topics that concern us at Fraunhofer IZM, it explains a term from microelectronics every month.

Do you have any questions about Fraunhofer IZM or would you like to know what is behind other technical terms? Then send us your questions by e-mail and we’ll try and find the answers for you!

#Career

They are now an integral part of our everyday lives - electric vehicles. One of the most important components is the battery. Researchers at Fraunhofer IZM are working on making these #batteries even more powerful and durable in the future. To this end, they are further developing the so-called on-board chargers, which play a central role in #electromobility.

Dominik Seidenstücker explains exactly what these on-board chargers do in today's edition of #µknowsbest: https://youtu.be/gakN5PYUOxg

You can also find out more about this topic at PCIM Europe! From May 6-8, Dominik Seidenstücker will be presenting the Dauerpower inverter solution and much more highlights of our power electronics to the public at the Fraunhofer IZM stand (Hall 5, Stand 300). Come by and let our scientists explain the technical innovations to you. Further information about our stand is also available at: www.izm.fraunhofer.de/pcim

#ResearchForNewcomers

What is Machine learning?

Machine learning describes the ability of an algorithm to perform the same task itself in the long term by repeating it without additional human input. The algorithms and statistical models are based on predefined criteria and the information content of the available data. Unlike conventional algorithms, however, no solution path is predetermined or modeled in advance. Instead, the computer “learns” to independently recognize the structure of the data and identify patterns from which solutions can be derived. Machine learning is considered one of the key technologies for the further development of artificial intelligence (AI).

Click here for the archive ->