CERN unveils AI strategy to advance research and operations

CERN has approved a comprehensive AI strategy to guide its use across research, operations, and administration. The strategy unites initiatives under a coherent framework to promote responsible and impactful AI for science and operational excellence.

It focuses on four main goals: accelerating scientific discovery, improving productivity and reliability, attracting and developing talent, and enabling AI at scale through strategic partnerships with industry and member states.

Common tools and shared experiences across sectors will strengthen CERN’s community and ensure effective deployment.

Implementation will involve prioritised plans and collaboration with EU programmes, industry, and member states to build capacity, secure funding, and expand infrastructure. Applications of AI will support high-energy physics experiments, future accelerators, detectors, and data-driven decision-making.

AI is now central to CERN’s mission, transforming research methodologies and operations. From intelligent automation to scalable computational insight, the technology is no longer optional but a strategic imperative for the organisation.

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Agentic AI drives a new identity security crisis

New research from Rubrik Zero Labs warns that agentic AI is reshaping the identity landscape faster than organisations can secure it.

The study reveals a surge in non-human identities created through automation and API driven workflows, with numbers now exceeding human users by a striking margin.

Most firms have already introduced AI agents into their identity systems or plan to do so, yet many struggle to govern the growing volume of machine credentials.

Experts argue that identity has become the primary attack surface as remote work, cloud adoption and AI expansion remove traditional boundaries. Threat actors increasingly rely on valid credentials instead of technical exploits, which makes weaknesses in identity governance far more damaging.

Rubrik’s researchers and external analysts agree that a single compromised key or forgotten agent account can provide broad access to sensitive environments.

Industry specialists highlight that agentic AI disrupts established IAM practices by blurring distinctions between human and machine activity.

Organisations often cannot determine whether a human or an automated agent performed a critical action, which undermines incident investigations and weakens zero-trust strategies. Poor logging, weak lifecycle controls and abandoned machine identities further expand the attack surface.

Rubrik argues that identity resilience is becoming essential, since IAM tools alone cannot restore trust after a breach. Many firms have already switched IAM providers, reflecting widespread dissatisfaction with current safeguards.

Analysts recommend tighter control of agent creation, stronger credential governance and a clearer understanding of how AI-driven identities reshape operational and security risks.

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Microsoft expands AI model Aurora to improve global weather forecasts

Extreme weather displaced over 800,000 people worldwide in 2024, highlighting the importance of accurate forecasts for saving lives, protecting infrastructure, and supporting economies. Farmers, coastal communities, and energy operators rely on timely forecasts to prepare and respond effectively.

Microsoft is reaffirming its commitment to Aurora, an AI model designed to help scientists better understand Earth systems. Trained on vast datasets, Aurora can predict weather, track hurricanes, monitor air quality, and model ocean waves and energy flows.

The platform will remain open-source, enabling researchers worldwide to innovate, collaborate, and apply it to new climate and weather challenges.

Through partnerships with Professor Rich Turner at the University of Cambridge and initiatives like SPARROW, Microsoft is expanding access to high-quality environmental data.

Community-deployable weather stations are improving data coverage and forecast reliability in underrepresented regions. Aurora’s open-source releases, including model weights and training pipelines, will let scientists and developers adapt and build upon the platform.

The AI model has applications beyond research, with energy companies, commodity traders, and national meteorological services exploring its use.

By supporting forecasting systems tailored to local environments, Aurora aims to improve resilience against extreme weather, optimise renewable energy, and drive innovation across multiple industries, from humanitarian aid to financial services.

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Digital ID arrives for Apple users

Apple has introduced Digital ID, a new feature that lets users create an identification card in Apple Wallet using information from a US passport.

The feature launches in beta at Transportation Security Administration checkpoints across more than two hundred and fifty airports for domestic travel, instead of relying solely on physical documentation.

It offers an alternative for users who lack a Real ID-compliant card while not replacing a physical passport for international journeys.

Users set up a Digital ID by scanning the passport’s photo page, reading the chip on the back of the document, and completing facial movements for verification.

Once added, the ID can be presented with an iPhone or Apple Watch by holding the device near an identity reader and confirming the request with Face ID or Touch ID. New verification options for in-person checks at selected businesses, apps and online platforms are planned.

The company highlights privacy protection by storing passport data only on the user’s device, instead of Apple’s servers. Digital ID information is encrypted and cannot be viewed by Apple, and biometric authentication ensures that only the owner can present the identity.

Only the required information is shared during each transaction, and the user must approve it before it is released.

The launch expands Apple Wallet’s existing support for driver’s licences and state IDs, which are already available in twelve states and Puerto Rico. Recent months have added Montana, North Dakota and West Virginia, and Japan adopted the feature with the My Number Card.

Apple expects Digital ID to broaden secure personal identification across more services over time.

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EU investigates Google over potential Digital Markets Act breach

The European Commission has opened an investigation into whether Google may be breaching the Digital Markets Act by unfairly demoting news publishers in search results.

An inquiry that centres on Google’s ‘site reputation abuse policy’, which appears to lower rankings for publishers that host content from commercial partners, even when those partnerships support legitimate ways of monetising online journalism.

The Commission is examining whether Alphabet’s approach restricts publishers from conducting business, innovating, and cooperating with third-party content providers. Officials highlighted concerns that such demotions may undermine revenue at a difficult moment for the media sector.

These proceedings do not imply a final decision; instead, they allow the EU to gather evidence and assess Google’s practices in detail.

If the Commission finds evidence of non-compliance, it will present preliminary findings and request corrective measures. The investigation is expected to conclude within 12 months.

Under the DMA, infringements can lead to fines of up to ten percent of a company’s worldwide turnover, rising to twenty percent for repeated violations, alongside possible structural remedies.

Senior Commissioners stressed that gatekeepers must offer fair and non-discriminatory access to their platforms. They argued that protecting publishers’ ability to reach audiences supports media pluralism, innovation, and democratic resilience.

Google Search, designated as a core platform service under the DMA, has been required to comply fully with the regulation since March 2024.

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Baidu launches new AI chips amid China’s self-sufficiency push

In a strategic move aligned with national technology ambitions, Baidu announced two newly developed AI chips, the M100 and the M300, at its annual developer and client event.

The M100, designed by Baidu’s chip subsidiary Kunlunxin Technology, targets inference efficiency for large models using mixture-of-experts techniques, while the M300 is engineered for training very large multimodal models comprising trillions of parameters.

The M100 is slated for release in early 2026 and the M300 in 2027, according to Baidu, which claims they will deliver ‘powerful, low-cost and controllable AI computing power’ to support China’s drive for technological self-sufficiency.

Baidu also revealed plans for clustered architectures such as the Tianchi256 stack in the first half of 2026 and the Tianchi512 in the second half of 2026, intended to boost inference capacity through large-scale interconnects of chips.

This announcement illustrates how China’s tech ecosystem is accelerating efforts to reduce dependence on foreign silicon, particularly amid export controls and geopolitical tensions. Domestically-designed AI processors from Baidu and other firms such as Huawei Technologies, Cambricon Technologies and Biren Technology are increasingly positioned to substitute for western hardware platforms.

From a policy and digital diplomacy perspective, the development raises questions about the global semiconductor supply chain, standards of compute sovereignty and how AI-hardware competition may reshape power dynamics.

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Romania pilots EU Digital Identity Wallet for payments

In a milestone for the European digital identity ecosystem, Banca Transilvania and payments-tech firm BPC have completed the first pilot in Romania using the EU Digital Identity Wallet (EUDIW) for a real-money transaction.

The initiative lets a cardholder authenticate a purchase using the wallet rather than a conventional one-time password or card reader.

The pilot forms part of a large-scale testbed led by the European Commission under the eIDAS 2 Regulation, which requires all EU banks to accept the wallet for strong customer authentication and KYC (know-your-customer) purposes by 2027.

Banca Transilvania’s Deputy CEO Retail Banking, Oana Ilaş, described the project as a historic step toward a unified European digital identities framework that enhances interoperability, inclusivity and banking access.

From a digital governance and payments policy perspective, this pilot is significant. It shows how national banking systems are beginning to integrate digital-ID wallets into card and account-based flows, potentially reducing reliance on legacy authentication mechanisms (such as SMS OTP or hardware tokens) that are vulnerable to fraud.

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Czech central bank invests in digital assets for the first time

The Czech National Bank (CNB) has acquired digital assets for the first time, creating a USD 1 million test portfolio outside its international reserves. The initiative includes Bitcoin, a USD stablecoin, and a tokenised deposit on the blockchain.

The portfolio aims to provide practical experience with digital assets and test related operational processes, without plans for further active investment.

Governor Aleš Michl explained that the idea originated in January 2025 to evaluate decentralised Bitcoin and explore its potential role in diversifying reserves. Discussions later included stablecoins, tokenised deposits, and future payment methods, with insights to be shared over the next two to three years.

The CNB emphasises that the koruna remains the country’s legal tender, while new digital payment and investment methods are increasingly emerging.

The test portfolio will examine the full chain of digital asset management, from technical administration and multi-level approvals to crisis scenarios, security measures, and AML compliance.

The CNB aims to maintain and develop internal expertise, ensuring staff gain practical knowledge transferable across teams. The investment is separated from the central bank’s international reserves and will not influence monetary policy or foreign exchange operations.

Alongside the portfolio, the CNB has launched CNB Lab, an innovation hub to test digital assets, blockchain solutions, AI tools, and payment innovations. The Lab will help the bank prepare for the future of finance while building practical experience and team expertise.

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Explainable AI predicts cardiovascular events in hospitalised COVID-19 patients

In the article published by BMC Infectious Diseases, researchers developed predictive models using machine learning (LightGBM) to identify cardiovascular complications (such as arrhythmia, acute heart failure, myocardial infarction) in 10,700 hospitalised COVID-19 patients across Brazil.

The study reports moderate discriminatory performance, with AUROC values of 0.752 and 0.760 for the two models, and high overall accuracy (~94.5%) due to the large majority of non-event cases.

However, due to the rarity of cardiovascular events (~5.3% of cases), the F1-scores for detecting the event class remained very low (5.2% and 4.2%, respectively), signalling that the models struggle to reliably identify the minority class despite efforts to rebalance the data.

Using SHAP (Shapley Additive exPlanations) values, the researchers identified the most influential predictors: age, urea level, platelet count and SatO₂/FiO₂ (oxygen saturation to inspired oxygen fraction) ratio.

The authors emphasise that while the approach shows promise for resource-constrained settings and contributes to risk stratification, the limitations around class imbalance and generalisability remain significant obstacles for clinical use.

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New AI platforms approved for Surrey Schools classrooms

Surrey Schools has approved MagicSchool, SchoolAI, and TeachAid for classroom use, giving teachers access through the ONE portal with parental consent. The district says the tools are intended to support instruction while maintaining strong privacy and safety safeguards.

Officials say each platform passes rigorous reviews covering educational value, data protection, and technical security before approval. Teachers receive structured guidance on appropriate use, supported by professional development aligned with wider standards for responsible AI in education.

A two-year digital literacy programme helps staff explore online identity, digital habits, and safe technology use as AI becomes more common in lessons. Students use AI to generate ideas, check code, and analyse scientific or mathematical problems, reinforcing critical reasoning.

Educators stress that pupils are taught to question AI outputs rather than accept them at face value. Leaders argue this approach builds judgment and confidence, preparing young people to navigate automated systems with greater agency beyond school settings.

Families and teachers can access AI safety resources through the ONE platform, including videos, podcasts and the ‘Navigating an AI Future’ series. Materials include recordings from earlier workshops and parent sessions, supporting shared understanding of AI’s benefits and risks across the community.

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