Live Breaking News & Updates on Karsten Reuter

Stay updated with breaking news from Karsten reuter. Get real-time updates on events, politics, business, and more. Visit us for reliable news and exclusive interviews.

How can I prepare for something I do not yet know?


How can I prepare for something I do not yet know?
How can I prepare myself for something I do not yet know?
Scientists from the Technical University of Munich (TUM) and from the Fritz Haber Institute Of Berlin have addressed this almost philosophical question in the context of machine learning.
Learning is no more than drawing new decisions on prior experience. In order to deal with a new situation in this way, one needs to have dealt with roughly similar situations before. In machine learning, this correspondingly means that a learning algorithm needs to have been exposed to roughly similar data. ....

Harald Oberhofer , Karsten Reuter , Technical University Of Munich , Fritz Haber Institute , Theory Department , Technical University , Fritz Haber Institute Of Berlin , Heisenberg Scholar , Theoretical Chemistry , கார்ஸ்டன் ராய்டர் , தொழில்நுட்ப பல்கலைக்கழகம் ஆஃப் முனிச் , ஃப்ரிட்ஸ் ஹேபர் நிறுவனம் , கோட்பாடு துறை , தொழில்நுட்ப பல்கலைக்கழகம் , கோட்பாட்டு வேதியியல் ,

Towards new solar cells with active machine learning


Fewer requirements let artificial intelligence discover new materialsTowards new solar cells with active machine learning
A research team from the Technical University of Munich (TUM) and the Fritz Haber Institute in Berlin uses active machine learning in the search for suitable molecular materials for new organic semiconductors, the basis for organic field effect transistors (OFETs), light-emitting diodes (OLEDs) and organic solar cells (OPVs). To efficiently deal with the myriad of possibilities for candidate molecules, the machine decides for itself which data it needs.
How can I prepare myself for something I do not yet know? Scientists from the Technical University of Munich and from the Fritz Haber Institute in Berlin have addressed this almost philosophical question in the context of machine learning.  ....

Harald Oberhofer , Karsten Reuter , Theory Department , Heisenberg Scholar , Theoretical Chemistry , கார்ஸ்டன் ராய்டர் , கோட்பாடு துறை , கோட்பாட்டு வேதியியல் ,