iRel40 consortium members Infineon Austria (www.infineon.com/austria), KAI (www.k-ai.at), and UCLM (www.uclm.es) have prepared a video describing the development of a deep learning pipeline for automated defect classification. Automatic classification provides objective results and has an extremely positive effect on workflow efficiency, hence, becoming increasingly important. However, developing deep learning pipelines for productive environments is challenging since real-world datasets are most often small and highly imbalanced.
Materials Center Leoben Forschung GmbH (MCL) is an internationally active research institution in the field of applied materials science. As a part of the IRel40 project, students work together on innovative research methods, which include measurement data acquisition and data evaluation of characteristic thermal and material specific data from the field of microelectronics, to learn more about the aging-related reliability of component parts.
The document reflects only the author’s view and the JU is not responsible for any use that may be made of the information it contains.
We use cookies and similar technologies (also from third parties) to collect your device and browser information for a better understanding on how you use our online offerings. Details are available in our privacy policy where you can also change your preferences on cookies at any time.
These cookies are necessary for the website to function and cannot be switched off in our systems. They are usually only set in response to actions made by you, which amount to a request for services, such as setting your privacy preferences, logging in, or filling in forms.
Protects against cross-site request forgery attacks.
Retention period: This cookie only persists for the current browser session.
Saves the current PHP session.
Retention period: This cookie only persists for the current browser session.
Load external graphics for OpenStreetMap from the tile server stadiamaps.com (no cookies)
The performance and effectiveness of content that you see or interact with can be measured.
The data collected is not used for any other purpose than analytics, visitors aren’t tracked across websites, fingerprints change daily for every visitor.
