In Smart literature, manufacturing discusses using advanced data analysis for enlightening system performance and decision making to balance natural or physical science. The extensive distribution of sensors and the internet of things IoT makes it possible to increase big manufacturing data with high standards. Furthermore, deep learning offers advanced tools for processing and analyzing big manufacturing data, which can use wide-ranging learning algorithms with high applications on the way to making manufacturing smart. It is evident that computers retain some cleverness, and we owe this to all the programs that we consider them useful, but we are still very far-reaching the real points (making a machine intelligent). However, there are many things which animals and humans can do easily, but they remain out of the grasp of computers. We use Artificial Intelligence doing those tasks involve knowledge that is currently implicit, but we have information about them via data and examples acquisition. We always think about how to get machines to gain that kind of intelligence using data and examples built in it as an operational knowledge system. At this point, we may introduce deep learning, which is machine learning research work having a motion to its main aims, with an Artificial Intelligence label and its branches.
Jelentkezési határidő: 2020-07-01
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
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