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30/10/2026

Europe’s quantum computers are open to applicants, and access is free.

Since 25 June, researchers, public institutions and companies across Europe can apply to use machines procured or co-funded by the EuroHPC Joint Undertaking through its Quantum Access Pilot. Four systems are available so far, built on three technologies. Euro-Q-Exa in Munich and VLQ in Ostrava use superconducting qubits, Piast-Q uses trapped ions and Lucy uses photonic qubits. Euro-Q-Exa currently has 54 qubits, with an upgrade to 150 planned by the end of 2026.

It helps to be clear about what the pilot is for. It is designed for testing and development: documenting whether an application is technically feasible, developing code and algorithms, building workflows and training teams. It is not simply a way to run existing programs on new hardware. Projects last three or six months, and applicants request machine time in hours.

The call is continuously open, with monthly cut-off dates. The next two are 1 November and 1 December 2026.

In August, EuroHPC also launched six quantum calls worth €119 million, including a pan-European open-access testing infrastructure for validating and certifying quantum technologies, and experimental pilot lines for quantum hardware.

For SMEs, the sensible approach is modest. You do not need a quantum strategy. You need one well-defined problem, such as an optimisation or simulation task, and a willingness to learn what today’s machines can and cannot do.

Learn more: https://www.dint.digital/

29/10/2026

Europe wants to build its own AI chips. The funding numbers show how long that road is.

Dealroom data cited by CNBC earlier this year put European AI chip startups at roughly $800 million raised in 2026, against about $4.7 billion for their US counterparts. For scale, Nvidia spent more than $18 billion on research and development in its last fiscal year alone.

The newest European bet is Euclyd, an Eindhoven startup founded in 2024. In September it announced a Series A of more than €200 million, co-led by Samsung, Somerset Capital Partners, the EU-backed Scaleup Europe Fund and Innovation Industries. It is designing a chip and memory architecture built specifically for AI inference, the stage where trained models answer requests, rather than a conventional GPU. Reporting on the round notes that its first commercial hardware is not expected until 2028.

Meanwhile, at GTC Berlin on 21 October, Nvidia’s Jensen Huang said “every company in Europe will become an AI company,” and Nvidia said it has committed nearly $10 billion to Europe’s technology ecosystem.

Both things are true at once. European organisations will run on today’s infrastructure for years, while European silicon is a long-term project. For SMEs, the practical takeaway is to treat compute as a portfolio decision: look at energy efficiency, portability between providers and where data is processed.

Learn more: https://www.dint.digital/

28/10/2026

Yesterday in Brussels, Europe took a concrete step toward turning artificial intelligence from a cybersecurity threat into a cybersecurity asset — and the event that opened marks the beginning of a new phase of EU-funded innovation in this field.

The European Cybersecurity Competence Centre and the European Commission’s DG CNECT co-hosted “Cybersecurity and Artificial Intelligence: From Innovation to Impact” — the first public gathering of the newly formed ECCC AI for Cybersecurity Cluster. The cluster brings together three Horizon Europe flagship projects funded under the 2025 call for Generative AI for Cybersecurity applications, marking the moment when years of research investment begin to converge into coordinated, deployable capabilities.

The event also advanced the EU Grand Challenge on AI-assisted vulnerability remediation — one of the most technically significant initiatives in Europe’s cybersecurity strategy. The challenge directly addresses a finding confirmed repeatedly by ENISA: the overwhelming majority of successful cyberattacks in Europe exploit known, patchable vulnerabilities. AI systems capable of detecting, triaging and remediating vulnerabilities at scale — faster than human teams can manually review them — could close this gap in a way that no previous approach has achieved.

The ECCC has €56.2 million in open Horizon Europe funding for cybersecurity research and innovation under the 2026 work programme, with calls covering AI-assisted security, advanced cryptographic schemes and software security tools. Alongside this, the ECCC has opened separate calls under the Digital Europe Programme targeting SME-accessible cybersecurity tools, AI-powered security platforms for critical infrastructure, and submarine cable and connectivity resilience.

For Digital Innovation Hubs, SMEs and research organisations working at the intersection of AI and cybersecurity, this week marks the opening of one of the most significant European funding windows of the year.

Learn more: https://www.dint.digital/

27/10/2026

Europe’s AI adoption has surged at a speed that almost no one predicted — and a major new benchmark report reveals that the infrastructure underneath it is struggling to keep pace.

Hyland’s Digital Maturity Index 2026, based on a survey of 3,000 IT decision-makers across the UK, France, Germany, Spain, Benelux and the Nordics, records Europe’s overall digital maturity score at 69 out of 100 — a six-point improvement from 2025. AI and automation achieved the most dramatic progress of any category, rising 14 points to 71 out of 100. The share of European organisations deploying AI throughout every key system in their enterprise jumped to 15% in 2026 — a 650% increase from just 2% in 2025.

But the same report identifies a critical imbalance that organisations and innovation leaders across Europe need to take seriously. Even as AI adoption accelerates, 54% of organisations report that their data is too messy for reliable AI use. As organisations rush to adopt AI, cloud and automation, they are inadvertently creating more data silos — not fewer. Content services maturity — the ability to manage, govern and make searchable the unstructured information that AI systems actually need to function — declined as a category even as technology adoption rose.

The IDC compound confirms the investment scale: European AI spending is forecast to reach $290 billion by 2029, growing at a 33.7% compound annual rate, with software accounting for 58.5% of spending and healthcare providers the fastest-growing sector. Europe’s broader IT spend is heading for $1.3 trillion in 2026 — the fastest growth since 2021.

The pattern is clear and consistent across every major data source this year: European organisations are investing in AI faster than they are building the data foundations AI depends on. Deployment without data governance does not produce the outcomes that justify the investment. Getting the foundations right is not a prerequisite that delays the work. It is the work.

Learn more: https://www.dint.digital/

26/10/2026

European businesses are accelerating AI investment at a rate that has no precedent — and a major new survey confirms that the gap between ambition and results has become the defining challenge of 2026.

The Accenture Pulse of Change study, conducted between April and June 2026 among 980 business leaders and 980 employees across Europe’s largest organisations in 19 industries, found that 81% of business leaders plan to increase their AI investments over the next 12 months. Only 7% believe the market is experiencing an AI bubble. The primary driver has shifted decisively: 80% of European leaders now consider AI investments more valuable for revenue growth than cost reduction — a significant change in how technology is being applied at board level.

But the same study exposes a structural challenge that organisations across Europe need to address urgently. Only 22% of executive leaders say their organisations have achieved sustained, enterprise-wide business value from AI implementation. More than half of large European companies have yet to scale a truly transformative AI investment. One in five leaders identifies the lack of a clear link between AI initiatives and organisational objectives as the main barrier to meaningful results.

The workforce gap compounds the problem. While 95% of European leaders believe their workforce has the foundational training needed to use AI effectively, only 46% of employees share that view. Just 14% of employees strongly agree that leaders have clearly communicated how AI will affect their roles and the skills required.

The signal is clear. European organisations have moved past the question of whether to invest in AI. The question now is whether the governance, the data infrastructure, the skills alignment and the strategic clarity exist to turn that investment into measurable, sustained business outcomes.

This is precisely the gap that European Digital Innovation Hubs are built to support. The technology is available. The investment is flowing. The ex*****on layer is where the work is.

Learn more: https://www.dint.digital/

25/10/2026

The most consequential AI announcement to emerge from NVIDIA GTC Berlin this week was not a chip specification — it was a political commitment that redraws the map of European industrial AI.

On 19 October 2026, Germany’s federal government signed a Joint Declaration of Intent with NVIDIA at the Invest in Germany summit in Berlin, where Chancellor Friedrich Merz met with NVIDIA CEO Jensen Huang. The agreement focuses on two interconnected objectives: developing Physical AI — the systems that train robots, autonomous vehicles and automated production lines to interact with the real world — and building high-performance sovereign industrial AI models through Germany’s SOOFI initiative, which brings together research institutions, universities and AI companies.

The partnership builds on an existing industrial infrastructure. Deutsche Telekom and NVIDIA had previously announced a €1 billion Industrial AI Cloud in Munich — up to 10,000 Blackwell GPUs — with SAP supplying software. That platform now becomes the training infrastructure backbone for the agreement. Siemens, Audi and Deutsche Telekom are among the industrial partners involved. NVIDIA will contribute engineering support and Cosmos physical AI models alongside the Nemotron language model family.

The central ambition is explicitly described as sovereign: Germany wants companies to retain control of their industrial data while accelerating AI adoption using advanced hardware and software. The opportunity is to convert Germany’s manufacturing data and engineering expertise — accumulated across decades of Industrie 4.0 development — into reusable, internationally competitive AI capabilities.

For European Digital Innovation Hubs, SMEs and manufacturers across the continent, this declaration sets the direction of travel for industrial AI policy and investment in Europe’s largest economy. Physical AI — models and systems that perceive the world, plan movement and act in physical environments — is no longer a research category. It is a deployment priority.

Learn more: https://www.dint.digital/

12/10/2026

Two days ago, Europe’s AI champion dropped its biggest model yet — and the timing and architecture of its release say something important about where sovereign AI is heading.

On 6 October 2026, Mistral AI unveiled Mistral Large 4, internally nicknamed Le Chonk — a 1-trillion-parameter mixture-of-experts model built over two months on 4,000 Nvidia chips at Mistral’s own European data centres. It is Mistral’s largest open-weight release ever, and the company says it is the strongest open-weight model built in the US or Europe by aggregate benchmark scores. Full weights are scheduled for public release on 27 October.

The architecture is significant. A mixture-of-experts design with 49 billion active parameters keeps inference costs low despite the trillion-parameter scale — making it practically deployable on standard 8-GPU server configurations rather than requiring hyperscale infrastructure. It is natively multimodal, handles quick answers, step-by-step reasoning and agentic tool use in a single model, and has been built with particular emphasis on cybersecurity workloads.

That last point is not incidental. Mistral’s chief scientist described Le Chonk’s cyber defence capabilities as enabling enterprises and governments to defend themselves against threat actors that are jailbreaking closed models to perform cyberattacks. In the same week that ENISA’s Threat Landscape 2026 documented AI being used to achieve cloud administrator access in eight minutes, Mistral is positioning open-weight, self-hostable AI as a defensive tool — one that organisations can run inside their own infrastructure, under EU jurisdiction, without exposing sensitive data or operations to external model providers.

The open weights release on 27 October will be the moment when this model becomes practically accessible to European SMEs, research organisations and Digital Innovation Hubs without API dependency. It is worth preparing for.

Learn more: https://www.dint.digital/

03/10/2026

Europe's cybersecurity agency just published its most comprehensive threat assessment in years — and the picture it paints is one every business, SME and public institution needs to understand.

The ENISA Threat Landscape 2026, published on 22 September, analysed 8,257 cyber incidents recorded across EU organisations during 2025. The headline finding is not simply that particular threats are increasing — it is that the European cyber threat environment is becoming more interconnected and systemic. Cyber dependencies are expanding the attack surface in ways that make local weaknesses generate consequences far beyond the original target.

DDoS attacks accounted for 51.3% of recorded incidents, largely driven by hacktivist groups. But strip those out and the more strategically significant story emerges: ransomware remains the most short-term impactful type of incident, with data exfiltration appearing in 73.3% of cases before encryption even begins. Over 48,000 new vulnerabilities were published in 2025 — a 22% increase from the prior year — and 60% of unauthorised access incidents where the intrusion vector could be determined leveraged a known, patchable vulnerability. Public administration remained the most targeted sector, accounting for 32% of cases.

The AI dimension is accelerating. ENISA confirms that AI is increasingly incorporated into existing attack models, with one documented AI-assisted cloud intrusion obtaining administrative access in eight minutes. Looking ahead, ENISA assesses that AI will highly likely enable more phases of an attack kill chain directly in 2026 — and that 2026 may see the first experimentation with human-out-of-the-loop attack concepts.

The Cyber Resilience Act, the NIS2 Directive and the AI Act together form the EU's regulatory response. But regulation without implementation is not resilience. For European SMEs — where ENISA's own June 2026 survey found high CRA awareness but thin practical readiness — the gap between knowing the rules and having the organisational capacity to meet them remains the defining vulnerability.

Learn more: https://www.dint.digital/

28/09/2026

Europe's AI revolution has a data problem — and the European Commission is now addressing it directly with a strategy that could fundamentally change how businesses, SMEs and researchers access high-quality data.

The European Data Union Strategy, launched in November 2025 alongside the Digital Omnibus, identifies data scarcity as one of three structural challenges holding back European AI competitiveness. While global competitors move faster to exploit data for technological and industrial advantage, much of Europe's most valuable data remains siloed, underused and protected by a patchwork of complex rules that too few organisations have the legal expertise to navigate.

The strategy's response is built around three priorities. First: launching the first EU Data Labs — practical entry points to common European data spaces, pooling public and private resources to make high-quality sectoral datasets available to SMEs and researchers for AI-driven innovation. The Commission is supporting continued rollout of common European data spaces with an additional €100 million from 2026 onwards. Second: streamlining data rules through the Digital Omnibus — merging four legal instruments into a single coherent framework, with model contractual terms, standard cloud clauses and a dedicated Data Act Legal Helpdesk giving SMEs direct guidance. Third: safeguarding EU data sovereignty while enabling trusted international data flows.

The near-term impact for SMEs and Digital Innovation Hubs is concrete. A Data Act Legal Helpdesk was established in Q4 2025, providing direct advice on implementation with priority for smaller organisations. High-value datasets will be expanded in 2026 to cover legal, judicial and administrative data — a significant expansion in the range of public data available for innovation. Data Labs will link data spaces to AI ecosystems, providing the training data infrastructure that is currently one of the most significant barriers to AI adoption for smaller European organisations.

Europe's data is the raw material for its AI future. The Data Union Strategy is the framework for unlocking it.

Learn more: https://www.dint.digital/

13/09/2026

💡 Разработвате deep tech технология, научен проект или иновативна компания с потенциал за растеж?

На 29 октомври Европейският съвет по иновациите организира EIC Info Day Sofia 2026 — възможност да научите директно от експертите каква подкрепа предлагат EIC Pathfinder, Transition, Accelerator, EIC Fund и STEP.

🎯 Актуални покани и приоритети
🔀 Две паралелни сесии — за стартъпи и scale-up компании и за изследователи
🤝 Дискусии, въпроси и отговори и нови професионални контакти

📅 29 октомври 2026 г.
🕥 10:30–16:10 ч.
📍 Стадион „Българска армия“, София
🗣️ Английски език
🎟️ Само присъствено участие; регистрацията е задължителна, а местата са ограничени.

Прочетете повече и се регистрирайте чрез DINT:
https://www.dint.digital/bg/novini/eic-informatsionen-den-sofiya-deep-tech-29-oktomvri-2026?utm_source=facebook&utm_medium=social&utm_campaign=eic_info_day_sofia_2026

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