The European Parliament has disabled AI features on the tablets it provides to lawmakers, citing cybersecurity and data protection concerns. Built-in AI tools like writing and virtual assistants have been disabled, while third-party apps remain mostly unaffected.
The decision follows an assessment highlighting that some AI features send data to cloud services rather than processing it locally.
Lawmakers have been advised to take similar precautions on their personal devices. Guidance includes reviewing AI settings, disabling unnecessary features, and limiting app permissions to reduce exposure of work emails and documents.
Officials stressed that these measures are intended to prevent sensitive data from being inadvertently shared with service providers.
The move comes amid broader European scrutiny of reliance on overseas digital platforms, particularly US-based services. Concerns over data sovereignty and laws like the US Cloud Act have amplified fears that personal and sensitive information could be accessed by foreign authorities.
AI tools, which require extensive access to user data, have become a key focus in ongoing debates over digital security in the EU.
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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 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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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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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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India will host the AI Impact Summit 2026 on 19–20 February at Bharat Mandapam in New Delhi, marking the first global AI summit to be held in the Global South. Announced by Prime Minister Narendra Modi, the event is positioned as a major international forum aimed at advancing inclusive and action-oriented AI cooperation.
Organised by the Ministry of Electronics and Information Technology, the summit seeks to build on previous global AI gatherings while shifting the focus from high-level political statements to measurable outcomes.
Officials say the objective is to ensure that AI supports social development, sustainable growth and broader access to technological opportunities, particularly for developing nations.
India AI Impact Summit 2026: 35,000+ Registrations so far, 100+ Countries, 500+ Startups to engage across 500 Sessions
The summit will be guided by three core principles known as the ‘Three Sutras’, namely People, Planet and Progress, and structured around seven thematic areas including human capital, inclusion, trusted AI, scientific collaboration and democratising AI resources.
These domains are intended to translate broad ambitions into concrete areas of multilateral action. A series of pre-summit initiatives, including global challenges focused on inclusive AI, women-led innovation and youth participation, will take place in the lead-up to the event.
Organisers have also issued a global call for proposals, inviting institutions to host in-person sessions aligned with the summit’s themes, reinforcing India’s effort to shape a broader international conversation on AI governance and impact.
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Artificial general intelligence remains a future ambition rather than a present reality, according to Google DeepMind chief executive Demis Hassabis. Speaking at an AI summit in New Delhi, he said current systems still fall short of matching human-level intelligence in several vital areas.
Hassabis identified three key limitations. Existing AI models lack continual learning, meaning they cannot update their knowledge dynamically once deployed. Instead, they rely on static training completed before release, preventing them from adapting to new contexts or personalising responses over time.
Long-term planning is another weakness. While advanced models can handle short-term reasoning tasks, they struggle to plan strategically over extended periods, as humans do.
Consistency also remains an issue, as systems may perform exceptionally well in complex domains but make unexpected errors in simpler tasks.
Despite these shortcomings, Hassabis has previously suggested that genuine AGI could emerge within the next five to ten years. For now, however, he maintains that present systems have not yet reached that threshold.
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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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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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The cost of running AI systems is shifting towards memory rather than compute, as the price of DRAM has risen sharply over the past year. Efficient memory orchestration is now becoming a critical factor in keeping inference costs under control, particularly for large-scale deployments.
Analysts such as Doug O’Laughlin and Val Bercovici of Weka note that prompt caching is turning into a complex field.
Anthropic has expanded its caching guidance for Claude, with detailed tiers that determine how long data remains hot and how much can be saved through careful planning. The structure enables significant efficiency gains, though each additional token can displace previously cached content.
The growing complexity reflects a broader shift in AI architecture. Memory is being treated as a valuable and scarce resource, with optimisation required at multiple layers of the stack.
Startups such as Tensormesh are already working on cache optimisation tools, while hyperscalers are examining how best to balance DRAM and high-bandwidth memory across their data centres.
Better orchestration should reduce the number of tokens required for queries, and models are becoming more efficient at processing those tokens. As costs fall, applications that are currently uneconomical may become commercially viable.
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