Digital cooperation

AI system tracks tsunami through atmospheric ripples

Scientists have successfully tracked a tsunami in real time using ripples in Earth’s atmosphere for the first time.

The breakthrough came after a powerful 8.8 magnitude earthquake struck off Russia’s Kamchatka Peninsula in July 2025, sending waves racing across the Pacific and triggering NASA’s newly upgraded Guardian monitoring system.

Guardian uses AI to detect disruptions in satellite navigation signals caused by atmospheric ripples above the ocean.

These signals revealed the formation and movement of tsunami waves, allowing alerts to be issued up to 40 minutes before they reached Hawaii, potentially giving communities vital time to respond.

Researchers say the innovation could transform global disaster monitoring by enabling earlier warnings for tsunamis, volcanic eruptions, and even nuclear tests.

Although the system is still in development, scientists in Europe are working on similar models that could expand coverage and provide life-saving alerts to remote coastal regions.

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OpenAI faces major copyright setback in US court

A US federal judge has ruled that a landmark copyright case against OpenAI can proceed, rejecting the company’s attempt to dismiss claims brought by authors and the Authors Guild.

The authors argue that ChatGPT’s summaries of copyrighted works, including George R.R. Martin’s Game of Thrones, unlawfully replicate the original tone, plot, and characters, raising concerns about AI-generated content infringing on creative rights.

The Publishers Association (PA) welcomed the ruling, warning that generative AI could ‘devastate the market’ for books and other creative works by producing infringing content at scale.

It urged the UK government to strengthen transparency rules to protect authors and publishers, stressing that AI systems capable of reproducing an author’s style could undermine the value of original creation.

The case follows a £1.5bn settlement against Anthropic earlier this year for using pirated books to train its models and comes amid growing scrutiny of AI firms.

In Britain, Stability AI recently avoided a copyright ruling after a claim by Getty Images was dismissed on grounds of jurisdiction. Still, the PA stated that the outcome highlighted urgent gaps in UK copyright law regarding AI training and output.

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Google and Cassava expand Gemini access in Africa

Google announced a partnership with Cassava Technologies to widen access to Gemini across Africa. The deal includes data-free Gemini usage for eligible users coordinated through Cassava’s network partners. The initiative aims to address affordability and adoption barriers for mobile users.

A six-month trial of the Google AI Plus plan is part of the package. Benefits include access to more capable Gemini models and added cloud storage. Coverage by regional tech outlets reported the exact core details.

Education features were highlighted, including NotebookLM for study aids and Gemini in Docs for writing support. Google said the offer aims to help students, teachers, and creators work without worrying about data usage. Reports highlight a focus on youth and skills development.

Cassava’s role aligns with broader investments in AI infrastructure and services across the continent; recent announcements reference model exchanges and planned AI facilities that support regional development. Observers see momentum behind accessible AI tools.

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Northern Ireland teachers reclaim hours with AI

A six-month pilot across Northern Ireland put Gemini and Workspace into classrooms. One hundred teachers participated under the Education Authority’s C2k programme. Reported benefits centred on time savings and practical support for everyday teaching.

Participants said they saved around ten hours per week on routine tasks where freed time was redirected to pupil engagement and professional development. More than six hundred use cases from the one hundred participants were documented during the trial period.

Teachers cited varied applications, from drafting parent letters to generating risk assessments quickly. NotebookLM helped transform curriculum materials into podcasts and interactive mind maps. Inclusive lessons were tailored, including Irish language activities and support for neurodivergent learners.

C2k plans wider training so more Northen Ireland educators can adopt the tools responsibly. Leadership framed AI as collaborative, not a replacement for teachers. Further partnerships are expected to align products with established pedagogical principles.

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Microsoft brings smarter search to Copilot

Microsoft is expanding Copilot with more precise citations that link directly to publisher sources. Users can also open aggregated references for each answer to review context. The emphasis sits on trust, control, and transparent sourcing throughout the experience.

A new dedicated search mode within Copilot delivers more detailed results when queries require specific information.

Summaries appear alongside links, enabling users to verify evidence and make informed decisions quickly. Industry coverage highlights the stronger focus on verifiable sources and publisher visibility.

The right pane offers a ‘Show all’ list of sources used in responses. Source-based citation pills replace opaque markers to aid credibility checks and exploration. Design choices aim to empower people to stay in control while navigating complex topics.

Updates are live across copilot.com, mobile apps, and Copilot in Edge, with more refinements expected. Microsoft positions the changes within a human-centred strategy where AI supports curiosity safely. Broader Copilot enhancements across Windows and Edge continue in parallel roadmaps.

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Private AI Compute by Google blends cloud power with on-device privacy

Google introduced Private AI Compute, a cloud platform that combines the power of Gemini with on-device privacy. It delivers faster AI while ensuring that personal data remains private and inaccessible, even to Google. The system builds on Google’s privacy-enhancing innovations across AI experiences.

As AI becomes more anticipatory, Private AI Compute enables advanced reasoning that exceeds the limits of local devices. It runs on Google’s custom TPUs and Titanium Intelligence Enclaves, securely powering Gemini models in the cloud. The design keeps all user data isolated and encrypted.

Encrypted attestation links a user’s device to sealed processing environments, allowing only the user to access the data. Features like Magic Cue and Recorder on Pixel now perform smarter, multilingual actions privately. Google says this extends on-device protection principles into secure cloud operations.

The platform’s multi-layered safeguards follow Google’s Secure AI Framework and Privacy Principles. Private AI Compute enables enterprises and consumers to utilise Gemini models without exposing sensitive inputs. It reinforces Google’s vision for privacy-centric infrastructure in cloud-enabled AI.

By merging local and cloud intelligence, Google says Private AI Compute opens new paths for private, personalised AI. It will guide the next wave of Gemini capabilities while maintaining transparency and safety. The company positions it as a cornerstone of responsible AI innovation.

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EU and Switzerland deepen research ties through Horizon Europe agreement

Switzerland has formally joined Horizon Europe, the EU’s flagship research and innovation programme, together with Digital Europe and the Euratom Research and Training Programme.

An agreement, signed in Bern by Commissioner Ekaterina Zaharieva and Federal Councillor Guy Parmelin, that grants Swiss researchers the same status as their EU counterparts.

They can now lead projects, receive EU funding, and access every thematic pillar, reinforcing cross-border collaboration in fields such as climate technology, digital transformation, and energy security.

The accord, effective from 1 January 2025, also enables Switzerland to become a member of Fusion for Energy in 2026, thereby integrating its researchers into ITER, the world’s largest fusion energy initiative.

Plans include Swiss participation in Erasmus+ from 2027 and in the EU4Health programme once a separate health agreement takes effect.

A development that forms part of a broader package designed to deepen EU–Swiss relations and modernise cooperation frameworks across science, technology, and education.

The European Commission reaffirmed its commitment to finalising ratification of all related agreements, ensuring long-term collaboration and strengthening Europe’s position as a global leader in innovation and research.

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€5.5bn Google plan expands German data centres, carbon-free power and skills programmes

Google will invest €5.5bn in Germany from 2026 to 2029, adding a Dietzenbach data centre and expanding its Hanau facility. It will expand offices in Berlin, Frankfurt, and Munich, and launch skilling and a first German heat-recovery project. Estimated impact: ~€1.016bn GDP and ~9,000 jobs annually.

Dietzenbach will strengthen German cloud regions within Google’s 42-region network, used by firms such as Mercedes-Benz. Google Cloud highlights Vertex AI, Gemini, and sovereign options for local compliance. Continued Hanau investment supports low-latency AI workloads.

Google and Engie will extend 24/7 Carbon-Free Energy in Germany through 2030, adding new wind and solar. The portfolio will be optimised with storage and Ørsted’s Borkum Riffgrund 3. Operations are projected to be 85% carbon-free in 2026.

A partnership with Energieversorgung Offenbach will utilise excess data centre heat to feed into Dietzenbach’s district network, serving over 2,000 households. Water work includes wetland protection with NABU in Hesse’s Büttelborn Bruchwiesen. Google reiterates its 24/7 carbon-free goal.

Office expansion includes Munich’s Arnulfpost for up to 2,000 staff, Frankfurt’s Global Tower space, and additional floors in Berlin. Local partnerships will fund digital skills and STEM programmes. Officials and customers welcomed the move for its benefits to infrastructure, sovereignty, and innovation.

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Banks and insurers pivot to AI agents at scale, Capgemini finds

Agentic AI is expected to deliver up to $450 billion in value by 2028, as financial institutions shift frontline processes to AI agents, according to Capgemini’s estimates. Banks start with customer service before expanding into fraud detection, lending, and onboarding, while insurers report similar priorities.

To seize the opportunity, 33% of banks are building agents in-house, while 48% of institutions are creating human supervisor roles. Cloud’s role is expanding beyond infrastructure, with 61% of executives calling cloud-based orchestration critical to scaling.

Adoption is accelerating but uneven. Four in five firms are in ideation or pilots, yet only 10% run agents at scale. Executives expect gains in real-time decision-making, accuracy, and turnaround, especially across onboarding, KYC, loan processing, underwriting, and claims.

Leaders also see growth levers. Most expect agents to support entry into new geographies, enable dynamic pricing, and deliver multilingual services that respect local norms and rules. Budgets reflect this shift, with up to 40% of generative AI spend already earmarked for agents.

Barriers persist. Skills shortages and regulatory complexity top the list of concerns, alongside high implementation costs. A quarter of firms are exploring ‘service-as-a-software’ models, paying for outcomes such as the resolution of fraud cases or the handling of customer queries.

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Global AI adoption rises quickly but benefits remain unequal

Microsoft’s AI Economy Institute has released its 2025 AI Diffusion Report, detailing global AI adoption, innovation hubs, and the impact of digital infrastructure. AI has reached over 1.2 billion users in under three years, yet its benefits remain unevenly distributed.

Adoption rates in the Global North are roughly double those in the Global South, highlighting the risk of long-term inequalities.

AI adoption depends on strong foundational infrastructure, including electricity, data centres, internet connectivity, digital and AI skills, and language accessibility.

Countries with robust foundations- such as the UAE, Singapore, Norway, and Ireland- have seen rapid adoption, even without frontier-level model development. In contrast, regions with limited infrastructure and low-resource languages lag significantly, with adoption in some areas below 10%.

Ukraine exemplifies the potential for rapid AI growth, despite current disruptions from the war, with an adoption rate of 9.1%. Strategic investments in connectivity, AI skills, and language-inclusive solutions could accelerate recovery, strengthen resilience, and drive innovation.

AI is already supporting cybersecurity and helping businesses and organisations maintain operations amid ongoing challenges.

The concentration of AI infrastructure remains high, with the US and China hosting 86% of the global data centre capacity. A few countries dominate frontier AI development, yet the performance gap between leading models is narrowing.

Coordinated efforts across infrastructure, skills, and policy are crucial to ensure equitable access and maximise AI’s potential worldwide.

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