Windows 11 gains enterprise 5G management through Ericsson partnership

Ericsson and Microsoft have integrated advanced 5G into Windows 11 to simplify secure enterprise laptop connectivity. The update embeds AI-driven 5G management, enabling IT teams to automate connections and enforce policy-based controls at scale.

The solution combines Microsoft Intune with Ericsson Enterprise 5G Connect, a cloud-based platform that monitors network quality and optimises performance. Enterprises can switch service providers and automatically apply internal connectivity policies.

IT departments can remotely provision eSIMs, prioritise 5G networks, and enforce secure profiles across laptop fleets. Automation reduces manual configuration and ensures consistent compliance across locations and service providers.

The companies say the integration addresses long-standing barriers to adopting cellular-connected PCs, including complexity and fragmented management. Multi-market pilots have preceded commercial availability in the United States, Sweden, Singapore, and Japan.

Additional launches are planned in 2026 across Spain, Germany, and Finland. Executives from both firms describe the collaboration as a step toward AI-ready enterprise devices with secure, always-on connectivity.

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Google outlines progress in responsible AI development

Google published its latest Responsible AI Progress Report, showing how AI Principles guide research, product development, and business decisions. Rising model capabilities and adoption have moved the focus from experimentation to real-world industry integration.

Governance and risk management form a central theme of the report, with Google describing a multilayered oversight structure spanning the entire AI lifecycle.

Advanced testing methods, including automated adversarial evaluations and expert review, are used to identify and mitigate potential harms as systems become more personalised and multimodal.

Broader access and societal impact remain key priorities. AI tools are increasingly used in science, healthcare, and environmental forecasting, highlighting their growing role in tackling global challenges.

Collaboration with governments, academia, and civil society is presented as essential for maintaining trust and setting industry standards. Sharing research and tools continues to support responsible AI innovation and broaden its benefits.

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Hyperscale data centres planned under Meta and NVIDIA deal

Meta announced a multiyear partnership with NVIDIA to build large-scale AI infrastructure across on-premises and cloud systems. Plans include hyperscale data centres designed for both training and inference workloads, forming a core part of the company’s long-term AI roadmap.

Deployment will include millions of Blackwell and Rubin GPUs, plus expanded use of NVIDIA CPUs and Spectrum-X networking. According to Mark Zuckerberg, the collaboration is intended to support advanced AI systems and broaden access to high-performance computing capabilities worldwide.

Jensen Huang highlighted the scale of Meta’s AI operations and the role of deep hardware-software integration in improving performance.

Efficiency gains remain a central objective, with Meta increasing the rollout of Arm-based NVIDIA Grace CPUs to improve performance per watt in data centres. Future Vera CPU deployment is being considered to expand energy-efficient computing later in the decade.

Privacy-focused AI development forms another pillar of the partnership. NVIDIA Confidential Computing will first power secure AI features on WhatsApp, with plans to expand across more services as Meta scales AI to billions of users.

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New Mastercard Move integration powers Ericsson fintech platform

Ericsson and Mastercard will integrate Mastercard Move into the Ericsson Fintech Platform to expand digital wallets and cross-border transfers. The partnership targets telecom operators, banks, and fintechs seeking to launch new payment services and reach underserved communities.

By combining Ericsson’s cloud-native fintech infrastructure with Mastercard Move’s money transfer network, the companies aim to simplify integration, deployment, and compliance. The integration is designed to reduce operational complexity and accelerate time-to-market for digital payment services.

Mastercard Move supports transfers in over 200 countries and territories and enables transactions in 150 currencies. Ericsson’s fintech platform operates in 22 countries, serving more than 120 million users and processing over 4 billion transactions per month.

The companies said the collaboration is intended to create new revenue streams and strengthen digital ecosystems in both emerging and developed markets. A global rollout will begin in the Middle East and Africa, where demand for mobile money and interoperable payment systems continues to grow.

Executives said the partnership will support faster, more secure cross-border transfers and promote financial inclusion. The integration aims to help telecom providers and financial institutions scale digital payment services and expand access to the digital economy.

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AI to transform India’s $400 billion IT ambition by 2030

India’s IT sector could reach $400 billion by 2030, Prime Minister Narendra Modi said in an interview with ANI, highlighting AI as a key growth driver. Services exports remain central to India’s economic expansion, with AI expected to reshape outsourcing and domain-specific automation.

Modi argued that AI is not replacing the IT industry but transforming it. General-purpose AI tools are becoming widespread, while enterprise-grade adoption remains concentrated in specific sectors where established IT firms continue solving complex business challenges.

Government policy is anchored in the IndiaAI Mission, which aims to expand access to computing infrastructure and strengthen domestic innovation. Modi said GPU targets have already been exceeded, with further investment planned to ensure affordable access for startups and enterprises.

Four Centres of Excellence have been established in healthcare, agriculture, education and sustainable cities, alongside five National Centres of Excellence for Skilling. Authorities aim to equip the workforce with industry-relevant AI expertise to support long-term competitiveness.

Strategic ambition extends beyond service delivery toward building AI products and platforms for domestic and global markets. Policymakers in India position AI as a catalyst for higher productivity, stronger digital infrastructure, and broader economic resilience.

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EDPS urges stronger safeguards in EU temporary chat-scanning rules

Concerns over privacy safeguards have resurfaced as the European Data Protection Supervisor urges legislators to limit indiscriminate chat-scanning in the upcoming extension of temporary EU rules.

The supervisor warns that the current framework risks enabling broad surveillance instead of focusing on targeted action against criminal content.

The EU institutions are considering a short-term renewal of the interim regime governing the detection of online material linked to child protection.

Privacy officials argue that such measures need clearer boundaries and stronger oversight to ensure that automated scanning tools do not intrude on the communications of ordinary users.

EDPS is also pressing lawmakers to introduce explicit safeguards before any renewal is approved. These include tighter definitions of scanning methods, independent verification, and mechanisms that prevent the processing of unrelated personal data.

According to the supervisor, temporary legislation must not create long-term precedents that weaken confidentiality across messaging services.

The debate comes as the EU continues discussions on a wider regulatory package covering child-protection technologies, encryption and platform responsibilities.

Privacy authorities maintain that targeted tools can be more practical than blanket scanning, which they consider a disproportionate response.

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Mistral AI expands European footprint with acquisition of Koyeb

Mistral AI has strengthened its position in Europe’s AI sector through the acquisition of Koyeb. The deal forms part of its strategy to build end-to-end capacity for deploying advanced AI systems across European infrastructure.

The company has been expanding beyond model development into large-scale computing. It is currently building new data centre facilities, including a primary site in France and a €1.2 billion facility in Sweden, both aimed at supporting high-performance AI workloads.

The acquisition follows a period of rapid growth for Mistral AI, which reached a valuation of €11.7 billion after investment from ASML. French public support has also played a role in accelerating its commercial and research progress.

Mistral AI now positions itself as a potential European technology champion, seeking to combine model development, compute infrastructure and deployment tools into a fully integrated AI ecosystem.

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WordPress.com integrates AI assistant into its editing workflow

Major updates to AI tooling are reshaping website creation as WordPress.com brings an integrated assistant directly into its editor.

The new system works within each site rather than relying on external chat windows, allowing users to adjust layouts, create content, and modify designs in real time. The tool is available to customers on Business and Commerce plans, although activation requires a manual opt-in.

The assistant appears across several core areas of the platform. Inside the editor, it can refine writing, modify styles, translate text and generate new sections with simple instructions.

In the Media Library, you can create new images or apply targeted edits through the platform’s in-house Nano Banana models, eliminating the need for separate subscriptions. Block notes provide an additional way to request suggestions, checks, or link-based context directly within each page.

The updates aim to make site building faster and more efficient by keeping all AI interactions within the existing workflow. Users who prefer a manual experience can ignore the feature entirely, since the assistant remains inactive unless deliberately enabled.

WordPress.com also notes that the system works best with block themes, although image tools are still available for classic themes.

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China boosts AI leadership with major model launches ahead of Lunar New Year

Leading Chinese AI developers have unveiled a series of advanced models ahead of the Lunar New Year, strengthening the country’s position in the global AI sector.

Major firms such as Alibaba, ByteDance, and Zhipu AI introduced new systems designed to support more sophisticated agents, faster workflows and broader multimedia understanding.

Industry observers also expect an imminent release from DeepSeek, whose previous model disrupted global markets last year.

Alibaba’s Qwen 3.5 model provides improved multilingual support across text, images and video while enabling rapid AI agent deployment instead of slower generation pipelines.

ByteDance followed up with updates to its Doubao chatbot and the second version of its image-to-video tool, SeeDance, which has drawn copyright concerns from the Motion Picture Association due to the ease with which users can recreate protected material.

Zhipu AI expanded the landscape further with GLM-5, an open-source model built for long-context reasoning, coding tasks, and multi-step planning. The company highlighted the model’s reliance on Huawei hardware as part of China’s efforts to strengthen domestic semiconductor resilience.

Meanwhile, excitement continues to build for DeepSeek’s fourth-generation system, expected to follow the widespread adoption and market turbulence associated with its V3 model.

Authorities across parts of Europe have restricted the use of DeepSeek models in public institutions because of data security and cybersecurity concerns.

Even so, the rapid pace of development in China suggests intensifying competition in the design of agent-focused systems capable of managing complex digital tasks without constant human oversight.

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Report warns of widening 5G capability gap

A new study by network analytics firm Ookla finds that while global 5G coverage gaps are narrowing, a deeper divide is emerging in network capabilities, with Europe falling behind. The report argues that the real competition is no longer about basic rollout, but about how effectively countries deploy advanced standalone (SA) 5G networks to support innovation, industry, and high-performance services.

According to the findings, North America and leading Asian markets have moved more decisively toward full standalone 5G architectures, achieving faster speeds and improved responsiveness. Gulf Cooperation Council countries have also advanced rapidly, with the region described as a 5G SA performance leader in 2025, delivering median download speeds reportedly more than five times higher than those in Europe.

Europe, by contrast, is characterised as lagging due to slow commercialisation, fragmented device ecosystems, and uneven tariff structures. While some countries, such as Spain, are cited as positive examples, the broader region risks losing ground as others accelerate deployment of 5G Advanced technologies, including enhanced spectrum use and more sophisticated network optimisation tools.

The report highlights national policy frameworks as a decisive factor in 5G competitiveness. Spectrum allocation strategies, infrastructure investment rules, and regulatory innovation are seen as equally important as technical upgrades. The findings come as the European Union advances its proposed Digital Networks Act, which has drawn mixed reactions from industry stakeholders concerned about investment conditions.

Beyond deployment, Ookla stresses that simply launching standalone 5G does not guarantee strong performance. Advanced optimisation strategies, such as cloud-native network design, deeper virtualisation, and improved spectrum efficiency, are key to unlocking the technology’s full potential. Enterprise adoption, initially slow under earlier non-standalone models, is now showing signs of growth, particularly in markets offering network slicing services.

The study concludes that decisions made in the next two years will be critical for long-term digital competitiveness. As 5G increasingly intersects with national AI strategies, industrial policy, and digital sovereignty agendas, countries that treat standalone networks as a strategic priority may gain a structural advantage, while others risk seeing the gap widen further as the transition toward 6G approaches.

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