beyond norms
Innovation Science and Engineering Research
The project applies 5G technology on the energy sector, by ensuring that both the radio and core network performance requirements can be reached in terms of end-to-end latency, availability and reliability.
axon logic is contributing with an Open Repository (based on the axServ tool) to provide access to NetApps, strengthen the fast-content discovery, and offer exhaustive inspection on their submitted workflows.
The project proposes innovative (a) risk analysis, (b) trust and accountability mechanisms for data protection, and (c) security awareness training for informed security choices.
axon logic is contributing by optimizing security via distributed risk tracking (based on the axCom tool) to improve the resilience of networks against cyber-threats in automated manner, while preserving privacy, data protection and accountability.
The project aimed to improve the cybersecurity and privacy of 5G and beyond-5G systems by proposing unique modeling of the IoT unit with new methods for automated firmware and software validation and verification.
The members of axon logic contributed by providing mathematical game-problem modeling for accounting security risks together with the required QoS of each IoT and end-user device, along with analytical solution methodologies for resolving the problem in high accuracy and low complexity, thereby ensuring close to real-time system operation.
SU-ICT-02-2020
(2020-2023)
ID: 952672
SU-DS02-2020
(2021-2024)
ID: 101019645
ICT-41-2020
(2021-2023)
ID: 101016912
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The project aims to develop an industry-wide decarbonization decision-support system for shipyards, equipment manufacturers, port authorities and operators, river commissions, classification societies, energy companies and transport/corridor infrastructure companies.
axon logic is contributing by developing quantum algorithms equivalent to classical neural networks (based on axQum and axQIcan tools) in key areas requiring increased speed and accuracy - these algorithms will be implementing digital twinning processes using the ship's onboard hardware, e.g., ARM64/X86.
CL5-2021-D5-01-13
(2022-2025)
ID: 101056799
The project aims to design and develop an open platform for the deployment and dynamic management of end-user applications, over distributed, heterogeneous and trusted IoT-Edge node infrastructures, with enhanced programmability features and tools.
axon logic is contributing by developing integrated algorithmic schemas for on-device resource optimization and data sharing among the cross-domain resolved over low-complexity analysis methods for effectualizing their implementation in real-world setting.
JU-SNS-2022
STREAM-B-01-04
(2024-2027)
ID: 101139068
Status:
Ongoing
Ongoing
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Status:
Ongoing
Ongoing
Ongoing
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Completed succesfully in Feb 2024
Ongoing
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Ongoing
The project aims to address cybersecurity risks in the future 6G system, including AI/ML-based security for the cyber-physical continuum, fully autonomous zero-touch security management, AI/ML system protection from security attacks, privacy-preserving and robust distributed intelligence with transparency enhancements, among others.
axon logic is contributing by designing automated AI/ML predictive cybersecurity decision-making algorithms that will be executed in zero-touch manner, subject to continuous data monitoring, towards optimizing the incident prediction and the threat/attack mitigation in the 6G system.
CL4-2023
HUMAN-01-01
(2024-2027)
ID: 101135800
The project aims to develop a platform for effectualizing trustworthy and green AI and ensure the reliability, safety, and unbiased optimization and deployment of AI systems, such as healthcare, farming, energy, and robotics, while deploying energy-efficient and environmentally sustainable AI technologies, leading to reduced environmental impact.
axon logic is contributing by designing a new reinforced benchmarking and feedback-based progress that will enable a Global reinforced and iterative optimisation process between other AI processes that co-exist in the system.
CL4-2022-DATA-01
(2023-2026)
ID: 101093069
The project aims to deliver a fully open-source, decentralized, and secure swarm programmability framework for edge devices that can leverage various AI/ML accelerators (FPGAs, SNNs, Quantum) and support a privacy-preserving object ID federation process.
axon logic is contributing by designing and developing new AI-enabled optimization algorithmic models for dynamic and adaptive data and resource scheduling , using ISING and QUBO quantum technologies (based on axQum and axQIcan tools).
CL4-2022-DATA-01
(2023-2025)
ID: 101092702