Expertise offered: Ubiwhere has a strong track record in the development of advanced network architectures, leveraging AI/ML mechanisms to create zero-touch management systems, IoT platforms, and integrated testbeds. Our expertise spans from early-stage design and specification to full-scale integration, demonstration, and validation of next-generation technologies. We also bring deep experience in engaging vertical sectors and leading communication, exploitation, and industry transfer activities. This expertise is particularly advantageous when considering Stream B-01-01: Advanced Architectures, Systems and Technologies, where our work in flexible 6G platforms, automation mechanisms, and lifecycle validation can directly support the goals of scalable, flexible network solutions. Our development of interoperable[...]
Expertise offered: The Chair of Communication Networks at the Technical University of Chemnitz (TUC), Germany, is a research unit that deals with the development of methods and architectures for flexible and reliable communication in fixed and wireless networks. Key research areas are new network architectures and concepts, network planning and optimization as well as network security. The current focus is on the development of AI-based methods for software-defined mobile and IP-Optical networks. The research group collaborates with several other universities and companies due to its participation in national and international research projects, such as ROBUKOM, VINO, MEVICO, SIGMONA, SENDATE-Secure CDI, AI-NET-PROTECT and[...]
Expertise offered: Austrian based SME Logiicdev's team consists of highly skilled professionals in FPGA, Hardware, AI model, and firmware development, positioning the company well for innovation and expansion. Their considerable experience in system and industrial electronics, coupled with expertise in use case-driven prototypes and Proof of Concept (PoC), makes them a valuable partner for various consortia. Logiicdev's expertise in FPGA-based solutions is particularly relevant in the context of edge computing and AI applications. FPGAs offer significant advantages in real-time edge applications due to their ability to process data at higher speeds through parallelism. This capability is crucial for applications requiring low-latency and[...]
