التفاصيل البيبلوغرافية
العنوان:
Terahertz Optical Machine Learning
المؤلفون:
Martin A. Kainz , Juraj Darmo , Gottfried Strasser , Moritz Wenclawiak , Benedikt Limbacher , Aaron Maxwell Andrews , Karl Unterrainer , Sebastian Schönhuber
المصدر:
Scopus-Elsevier
بيانات النشر:
IEEE, 2021.
سنة النشر:
2021
مصطلحات موضوعية:
Artificial neural network , Computer science , Terahertz radiation , business.industry , Linear algebra , Coherence (statistics) , Artificial intelligence , Machine learning , computer.software_genre , business , computer , Near infrared radiation
الوصف:
Machine learning and its applications are rapidly advancing. Even-though the majority of machine learning is performed on computers, the fundamental methods of machine learning are based on linear algebra, which can be readily transferred to other systems.
DOI:
10.1109/cleo/europe-eqec52157.2021.9542692
URL الوصول:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bb8cde330fbe869cb9cd4547878dbca https://doi.org/10.1109/cleo/europe-eqec52157.2021.9542692
Rights:
CLOSED
رقم الانضمام:
edsair.doi.dedup.....2bb8cde330fbe869cb9cd4547878dbca
قاعدة البيانات:
OpenAIRE