Discover dissemination and further public activities related to AISSI.
Read about the project in the categories: Project Event, Conference, Journal, Workshop, Webinar, External Publication.
KIT RESEARCH TO BUSINESS Blog Article
The AISSI partner KIT (Karlsruhe Institute of Technology) has published the online article 'Mobilizing semiconductor factories with AI' on its RESEARCH TO BUSINESS website.
AISSI Workshop at SYSTEMA in Dresden
In the final stretch of the AISSI research project, the project partners met at SYSTEMA Dresden's premises for a workshop on the 24th of October.
ITEA PO Days
In addition to sparking new innovative ideas, the ITEA PO Days 2023 also offered a glimpse into the remarkable accomplishments of running and recently finished ITEA projects.
ASIM Dedicated Conference on Simulation in Production and Logistics
In September 2023, Holger Brandl (SYSTEMA GmbH) presented some results of our joint research on this year's ASIM Dedicated Conference on Simulation in Production and Logistics which was held in Ilmenau, Germany.
AISSI Reutlingen Workshop
After two successful years working together, the AISSI project partners met for a whole week at Robert Bosch GmbH Reutlingen's premises for a workshop on the 19th of June.
KotlinConf’23 Amsterdam was held from April 12th to 15th. Holger Brandl (SYSTEMA GmbH) presented some results of our joint research in the AISSI project.
20th Innovation Forum for Automation
The 20th Automation Network Dresden was held on January 26th and 27th in Dresden. Holger Brandl (SYSTEMA GmbH) presented some results of our joint research in the AISSI project.
Winter Simulation Conference 2022
Being efficient, just like the project autonomous integrated scheduling for semiconductor manufacturing, the project partners joined the Winter simulation conference hosted in the same city after the Singapore workshop.
Singapore AISSI Workshop
A complex industry such as semiconductor manufacturing sparks complex and deep discussions. Therefore, a four-day intensive workshop was organized in Singapore by our project partner D-Simlab on 6th of December 2022.
SEMICON EUROPA 2022
On the way to industrial application, Philipp Rossbach (SYSTEMA) presented a contribution at SEMICON EUROPA 2022 that took place in Munich between November 15th and 17th.
Factory Automation User Group 2022
On September 22nd and 23rd, project partner SYSTEMA hosted their regular Factory Automation User Group meeting.
FoTLog Forum Technische Logistik 2022
On September 7th, project partner SYSTEMA participated at the “Forum Technische Logistik”. This is an annually conference, hosted by the “Institut für Technische Logistik und Arbeitssysteme” of Prof. Thorsten Schmidt at TU Dresden.
AISSI Summer Workshop at KIT
After one year of working together almost exclusively online, the project team of our research project AISSI met for a two-day face-to-face workshop at KIT.
ITEA Smart Systems Engineering workshop
During the ITEA Smart Systems Engineering Workshop, the AISSI project was presented by project lead Andrej Gisbrecht.
Christmas Message 2021
AISSI at the Germany Singapore Business Forum Connect
Project lead Dr. Andrej Gisbrecht (Simulation Engineer at Robert Bosch GmbH) and Mr. Boon Ping Gan (Chief Executive Officer at D-SIMILAB Technologies Pte Ltd.) represented the bi-national project AISSI in the Plenary Session on 11 November 2021 at the Germany Singapore Business Forum Connect.
AISSI presented as multinational cooperation on Federal Ministry website
After starting the project AISSI is being announced in a press release from Federal Ministry for Economic Affairs and Energy.
Represented by project lead Kai Schelthoff, from Robert Bosch GmbH, the project AISSI -Autonomous Integrated Scheduling for Semiconductor Industry – was part of the international symposium EURAXESS taking place in Berlin and virtually on September 9, 2021.
On Tuesday, August 24th, 2021, the international, publicly funded advanced scheduling project AISSI had its official Kick-Off Event in Berlin. The project AISSI -Autonomous Integrated Scheduling for Semiconductor Industry - proposes to apply deep reinforcement learning to schedule wafer production more efficiently.