Transforming Industries with AI-Driven Research
Research is more than discovery—it’s the driving force behind AI that creates tangible, real-world impact. We focus on advancing AI methodologies that solve complex challenges, from automating industrial systems to improving sustainability through smart technologies. By blending theoretical innovation with practical application, our research shapes AI solutions that are both scientifically robust and scalable, ensuring they make a measurable difference across industries.
Explore our latest findings and see how research-driven AI is shaping industries, solving complex challenges, and redefining what’s possible.
AI-NET (Accelerating Digital Transformation in Europe by Intelligent NETwork Automation)
By: Lena Källberg
Sector
Participants
AI-NET Protect, one of three AI-NET sub-projects, involved 36 project members from Germany, the Netherlands, Poland and Sweden.
Field
Innovation, research, communication infrastructure, 5G (6G)
Value
The AI-NET Protect teams developed and tested an array of solutions for AI-infused Internet network systems. Using a detailed set of KPI’s, the solutions were thoroughly evaluated to prove they provide future-proof edge-centric network environments that are energy-efficient, sustainable and secure.
Project type
International research project
AI technology
Edge-centric compute, machine learning
Summary
AI-NET is an award-winning international research project aimed at developing next-generation communication solutions for a secure and sustainable digital transformation. Between 2021 and 2024, over 90 participants, representing seven European countries, have been working together to accelerate the development of digital communication, including powerful, energy-efficient edge computing and infrastructure solutions for 5G—and future 6G—technology.
AI-NET was awarded the prestigious CELTIC-NEXT Innovation Award at the Berlin 6G Conference. Savantic has been part of the AI-NET PROTECT sub-project, which was focused on network performance and the protection of critical data and infrastructure.
Goal
The goal of the project has been to research high-performance services deployed and operated at the network edge, by using artificial intelligence in addition to traditional optimisation algorithms. AI-NET Protect investigated ways of monitoring internet traffic to detect anomalies and outliers.
Solution
The project developed a scalable network and node architecture with added telemetry and intent-based software-defined network management and control, providing support for AI-based automation of end-to-end services. The system created was used for monitoring internet traffic but can be used for checking other kinds of data as well.
Result
By using machine learning algorithms to detect outliers and anomalies in internet traffic, and by employing artificial intelligence in those systems, performance can be optimised, providing proactive fault and anomaly detection and security incident management.
CISSAN
By: Karoly Makonyi
Sector
Participants
AI-NET Protect, one of three AI-NET sub-projects, involved 36 project members from Germany, the Netherlands, Poland and Sweden.
Field
Innovation, research, communication infrastructure, 5G (6G)
Value
Project type
International research project
AI technology
Summary
Goal
Solution
To achieve its goals, CISSAN integrates collective security intelligence into IoT networks, allowing them to collaboratively detect threats and respond effectively. The project emphasizes resource efficiency by intelligently distributing security functions across network nodes, ultimately making energy systems more secure, robust, and resistant to cyberattacks.
For more information on CISSAN, click here: https://www.jyu.fi/en/projects/cissan
