The AINET-ANTILLAS Celtic-Next research program is dedicated to accelerating digital transformation in Europe through intelligent and secure network automation. This initiative encompasses diverse domains, such as mobile networks, optical networks, smart cities, robotic transportation, IoT, and emerging industries.
Creonic plays a pivotal role as a leading technology partner, focusing on efficient data processing. This initiative aims to accelerate digital transformation in Europe through intelligent network automation across various domains.
The project addresses the complexities of distributed data storage and processing in rapidly expanding markets like Cloud and IoT. Creonic's expertise contributes to achieving fully autonomous network operation through AI/ML-driven automation at network and service levels. Emphasis is placed on enhancing scalable hardware in applications across sectors like automotive, manufacturing, public safety, and utilities.
The project leverages 5G, edge-centric computing, and AI to create cyber-resilient intelligent network automation, benefiting end-users, machine-to-machine communication, and IoT networks. Creonic's contributions drive innovation in optimizing resources, reducing energy consumption, and ensuring cybersecurity throughout the project.
Project
The primary objective of the AINET-ANTILLAS Celtic-Next research program is to accelerate digital transformation in Europe by intelligent and secure network automation.
Partners
17
Duration
04/2021 - 03/2024
Website
Project Partners
The project consortium consists of:
- Creonic GmbH, Kaiserslautern
- Nokia Solutions and Networks GmbH & Co. KG, Nürnberg
- atesio GmbH, Berlin
- TWT GmbH Science & Innovation, Stuttgart
- WIBU-SYSTEMS AG, Karlsruhe
- Fraunhofer FOKUS, Berlin
- Technische Universität Berlin
- Universität Stuttgart (IKR)
- Universität Stuttgart (INT)
- Friedrich-Alexander-Universität Erlangen-Nürnberg
- Ruhr-Universität Bochum
- Karlsruher Institut für Technologie (KIT)
- Technische Universität Kaiserslautern
- Technische Universität München
- Deutsches Forschungszentrum für Künstliche Intelligenz GmbH (DFKI), Kaiserslautern
- let's dev GmbH & Co. KG, Karlsruhe
- FARO Europe GmbH, Korntal-Münchingen
The project is funded by the Federal Ministry of Education and Research