Multipartner Research Projects
Organizer(s): Dimitrios Soudris (National Technical University of Athens), Giampaolo Agosta (Politecnico di Milano)
This special session presents recent advancements from European, national, and regional multipartner research projects in the fields of embedded systems, high-performance computing (HPC), cloud software, and artificial intelligence (AI). The accepted contributions illustrate how collaborative efforts are addressing key challenges in platform development, system integration, and technology transfer across the digital continuum.
Topics covered include optimized computational modeling for next-generation mobility, orchestration frameworks for distributed computing environments, and national strategies to build HPC competence. Additional contributions explore multi-cloud architectures for smart and sustainable applications, progress in enabling serverless computing, and the development of open, secure processor technologies.
Common themes across the session include hardware/software co-design, platform portability, and the deployment of AI capabilities in resource-constrained and distributed environments. Several papers highlight methodologies for system verification, performance optimization, and real-world validation, emphasizing not only technical excellence but also relevance to pressing societal and economic needs.
This session serves as a forum for exchanging experiences, identifying synergies, and shaping future directions in collaborative research on embedded intelligence, cloud infrastructure, and high-performance computing.
Principles of Neural Computation for Next-Gen Neuromorphic Design
Organizer(s): Mario Negrello (Erasmus Medical Center), Christos Strydis (Erasmus Medical Center & Delft University of Technology)
For the first time in SAMOS, this special session explores how foundational insights from neuroscience can inform the design, development, and operation of future neuromorphic systems. As computing increasingly moves toward architectures inspired by the brain, there is a critical need to revisit core biological mechanisms—such as synaptic plasticity, network dynamics, sparse coding, and adaptive processing—and translate them into principles that guide hardware and software innovation.
The ambition of this session is for participants to engage in cross-disciplinary discussions examining how biological neural systems achieve remarkable efficiency, robustness, and adaptability. Topics include learning rules beyond backpropagation, self-organization in large-scale networks, spiking neural computation, and the interplay between structure and function in the brain. By studying these mechanisms, the special session aims to inspire new computational paradigms that go beyond traditional AI and von Neumann architectures.
The event brings together neuroscientists, computer architects, AI researchers, and systems engineers to foster meaningful dialogue and long-term collaboration. A particular emphasis will be placed on identifying conceptual gaps between biological understanding and engineering practice, and on developing strategies to close them.
