In an evermore connected world, semiconductor devices are at the heart of technically sophisticated systems. The industry is a tremendous market, and rogues also try to get their share by selling counterfeit products (a 169B USD market in 2011) which potentially endanger the safety and security of critical systems. Trust can be created by verifying the electrical characteristics, the physical layout and the manufacturing technology against the original design. We present a demonstrator showing a fully automated process for manufacturing technology analysis using scanning electron microscope images of semiconductor cross-sections. The implementation is based on customized deep learning architectures for image segmentation and machine learning based algorithms for manufacturing technology analysis. In the demo, we incorporate domain knowledge from different branches in an industrial environment. (Presented at the demo session of the ICPR 2020 - 25th International Conference on Pattern Recognition micc.unifi.it/icpr2020/index.php/demos/)
AI4DI consortium partners are happy to show the 2nd Webinar of the AI4DI project - ai4di.eu. The Webinar presents the topics of artificial intelligence for semiconductor and industrial machinery industries. This Webinar is designed to present the AI techniques and methods used in different applications in the semiconductor industry and industrial machinery developed by AI4DI project partners. The webinar includes a keynote speech from Prof. Wolfgang Ecker, Infineon, Germany.
AI4DI consortium partners are happy to show the 1st Webinar of the AI4DI project. This Webinar presents the topics of artificial intelligence for automotive manufacturing and mobility-as-a-service. Focusing on innovation and progress in automotive sectors and provides valuable insights on current technologies and a glance into the future.
AI4DI partners held the 3rd Webinar of the project, presenting the consortium’s work in the realm of AI for Smart Food and Beverage Production.
Food processing is one of the critical revenues generating sector for a majority of the developed and developing economies, and the implementation of IoT/IIoT and robotics solutions in the industrial sector has supported overcome critical issues related to production and execution by eliminating the possible chance of human errors while reducing the redundancy in work being performed by manual labour. AI can fuel innovation in production and packaging to reach consumer expectations regarding its quality and its associated impact on the cost. To attain the potential trade-off between quality and price, industry stakeholders actively leverage the potential of AI across various applications, such as product design, quality control, maintenance, and consumer engagement, among others.
The AI4DI Webinar no3: AI for Smart Food and Beverage Production was designed to present the AI techniques and methods applied to different applications in the food and beverage industry developed by AI4DI project partners. The Webinar includes presentations from other national and European projects.