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Published on 28.05.2026

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Connectivity: Europe's intelligent neural system

Sébastien Faye, Head of the Distributed and Intelligent Connectivity Research Group at LIST, is one of the Voices of Connectivity, a researcher who believes networks are no longer just infrastructure, but the intelligent backbone of everything Europe wants to become.

Connectivity is everywhere and invisible. It guides autonomous vehicles, links hospital systems, powers industrial automation, and holds smart cities together. Yet in the popular conversation about digital transformation, networks are too often treated as background infrastructure, the pipes through which data flows. For Sébastien Faye, that framing misses something fundamental.

"Networks are becoming more and more intelligent, autonomous and trustworthy."

The shift he describes is not incremental. It is architectural. Networks are evolving from passive carriers of information into active platforms that can sense, reason, and respond.

 

From pipes to platforms: the intelligence layer

With the rise of data-intensive applications and the proliferation of AI across every sector, networks are under pressure as never before. Mobility, digital health, industrial systems, smart city services, each demands connectivity that is not just fast, but precisely calibrated to where computation, data and AI capabilities need to be located:

"From mobility to digital health, and from industry to smart city applications, we now need to think of networks as part of a device-edge-cloud continuum, where connectivity, computation and AI resources are placed where they are most useful: on the device, close to the user at the edge, or at cloud scale."

By dristributing intelligence closer to where data is created and decisions must be made, future networks can support applications where latency, resilience and efficiency are critical. For vehicles navigating road conditions in real time, medical devices monitoring patients, or robots operating on factory floors, this means faster local decisions, better coordination and less dependence on distant centralised infrastructure.

At LIST, Sébastien Faye and his team are turning this vision into tangible solutions. They work at the intersection of connectivity, computing and AI, developing systems for 5G, 6G and the generation of networks beyond.

AI and digital twins: testing the future before it arrives

Two technologies sit at the heart of LIST's approach: artificial intelligence and digital twins.

"AI can help us to predict and anticipate what could happen on a network."

This predictive capacity transforms how networks are managed. Rather than responding to failures after the fact, AI-powered systems can identify patterns, model future states, and intervene before problems emerge. It is a shift from reactive maintenance to proactive intelligence.

Digital twins extend this logic further. A digital twin is a real-time virtual model of a physical system in this case, an entire network. At LIST, these function as sandboxes: environments where different configurations, algorithms, and ethical principles can be tested and refined before deployment in the real world.

"Digital twins are considered as sandboxes where we can test and optimise different ethical principles, for instance, before applying them in the real world."

This is a detail worth pausing on. Sébastien Faye speaks not just of optimising performance, but of testing ethical principles. In a world where network decisions affect access to healthcare, safety systems, and critical services, the values embedded in those systems matter. Digital twins offer a way to interrogate those values rigorously before they shape real outcomes.

Europe's triple imperative

For Faye, connectivity is central to Europe's position in the world across three distinct dimensions.

"For Europe, connectivity is essential for three reasons: digital sovereignty, the deployment of critical applications, and the resilience of everyday services that citizens and businesses increasingly depend on."

These three imperatives, i.e. sovereignty, capability, and social value, form what he calls the backbone of Europe's digital infrastructure. Digital  sovereignty means keeping meaningful control over the networks, data flows and service platforms on which Europe depends. Capability means enabling applications that require guaranteed performance, from connected healthcare and autonomous transport to energy systems, defence and industrial automation. Social value means ensuring that connectivity improves daily life, supports public services and remains trustworthy, inclusive and resilient.

In Luxembourg, LIST's work makes this vision concrete. Researchers are developing AI-based approaches to network planning and optimisation that respect both performance targets and electromagnetic exposure limits. They are building network digital twins that can monitor infrastructure, anticipate failures and support more autonomous operation. And they are pushing intelligence closer to the edge, so that critical systems can access reliability, low latency and decision-making capacity where they are needed most.

The backbone of what comes next: from generational “xG” cycles to continuously evolving networks

What Sébastien Faye describes is a transformation in how we think about connectivity itself. The question is no longer simply how much data can be moved, or how quickly. It is about what networks can do, how they can evolve, and what kind of Europe they can help build.

Ultra-reliable, low-latency, trustworthy connectivity is not a technical nicety. It is the condition for autonomous vehicles that do not crash, remote surgical systems that do not lag, and industrial platforms that do not fail. It is, in Faye's framing, the intelligent neural system that a modern, digital Europe needs.

This also means moving beyond networks that change only through major generational jumps. Future networks will still rely on standardisation and long-term technology roadmaps, but beyond the traditional 3G, 4G, 5G and 6G cycles, they will also need to evolve more continuously, with new capabilities introduced progressively through software, data and AI model updates.

“Future networks should not only evolve through major generational jumps. They should become programmable, AI-native platforms that can be updated, optimised and extended progressively as they operate.”

The networks being designed today will carry decisions on top of data. They will carry trust, adaptability and the responsibility that comes with it.

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