Sustainable development

UNESCO and SAP selected the AI system EDiSON for the Solomon Islands

SAP and UNESCO have agreed to deploy the AI-supported disaster management system EDiSON in the Solomon Islands.

The platform, created by SAP Japan and the start-up INSPIRATION PLUS, utilises the SAP Business Technology Platform with machine learning to merge real-time meteorological information with historical records, rather than relying on isolated datasets.

A system that delivers predictive insights that help authorities act before severe weather strikes. It anticipates terrain damage, guides emergency services towards threatened areas and supports decisions on evacuation orders.

The initiative aims to serve as a model for other small island states facing similar climate-related pressures.

UNESCO officials say the project strengthens early warning capacity and encourages long-term resilience. EDiSON will become operational in 2026 and aims to offer a scalable approach for nations with limited technical resources.

Its performance in Japan has already demonstrated how integrated data management can overcome fragmented information flows and restricted analytical tools.

The design of EDiSON enables governments to adopt advanced disaster preparedness systems instead of relying on costly, bespoke infrastructure. A partnership that seeks to improve national readiness in the Solomon Islands, where earthquakes, tsunamis, cyclones and floods regularly threaten communities.

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AI helps to fight against antibiotic-resistant superbugs

UK scientists are launching a three-year initiative to use AI in the fight against drug-resistant infections, a growing threat to public health.

The project, backed by £45 million from GSK and coordinated with the Fleming Initiative, aims to develop new tools against pathogens that currently evade treatment.

Researchers will focus on priority bacteria and fungi identified by the World Health Organisation, including E. coli, Klebsiella pneumoniae, MRSA and Aspergillus.

These AI models will be utilised to design antibiotics and enhance the understanding of immune responses, with data shared globally to expedite drug development.

Experts warn that antimicrobial resistance could claim millions of lives by 2050 if new solutions are not found. The initiative reflects an urgent need to pool scientific expertise and technology to create next-generation treatments and vaccines for resistant infections.

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NVIDIA pushes forward with AI-ready data

Enterprises are facing growing pressure to prepare unstructured data for use in modern AI systems as organisations struggle to turn prototypes into production tools.

Around forty percent of AI projects advance beyond the pilot phase, largely due to limits in data quality and availability. Most organisational information now comes in unstructured form, ranging from emails to video files, which offers little coherence and places a heavy load on governance systems.

AI agents need secure, recent and reliable data instead of fragmented information scattered across multiple storage silos. Preparing such data demands extensive curation, metadata work, semantic chunking and the creation of vector embeddings.

Enterprises also struggle with the rising speed of data creation and the spread of duplicate copies, which increases both operational cost and security concerns.

An emerging approach by NVIDIA, known as the AI data platform, aims to address these challenges by embedding GPU acceleration directly into the data path. The platform prepares and indexes information in place, allowing enterprises to reduce data drift, strengthen governance and avoid unnecessary replication.

Any change to a source document is immediately reflected in the associated AI representations, improving accuracy and consistency for business applications.

NVIDIA is positioning its own AI Data Platform reference design as a next step for enterprise storage. The design combines RTX PRO 6000 Blackwell Server Edition GPUs, BlueField three DPUs and integrated AI processing pipelines.

Leading technology providers including Cisco, Dell Technologies, IBM, HPE, NetApp, Pure Storage and others have adopted the model as they prepare storage systems for broader use of generative AI in the enterprise sector.

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OpenAI and Intuit expand financial AI collaboration

Yesterday, OpenAI and Intuit announced a major strategic partnership aimed at reshaping how people manage their personal and business finances. The arrangement will allow Intuit apps to appear directly inside ChatGPT, enabling secure and personalised financial actions within a single environment.

An agreement that is worth more than one hundred million dollars and reinforces Intuit’s long-term push to strengthen its AI-driven expert platform.

Intuit will broaden its use of OpenAI’s most advanced models to support financial tasks across its products. Frontier models will help power AI agents that assist with tax preparation, cash flow forecasting, payroll management and wider financial planning.

Intuit will also continue using ChatGPT Enterprise internally so employees can work with greater speed and accuracy.

The partnership is expected to help consumers make more informed financial choices instead of relying on fragmented tools. Users will be able to explore suitable credit offers, receive clearer tax answers, estimate refunds and connect with tax specialists.

Businesses will gain tailored insights based on real time data that can improve cash flow, automate customer follow ups and support more effective outreach through email marketing.

Leaders from both companies argue that the collaboration will give people and firms a meaningful financial advantage. They say greater personalisation, deeper data analysis and more effortless decision making will support stronger household finances and more resilient small enterprises.

The deal expands the growing community of OpenAI enterprise customers and strengthens Intuit’s position in global financial technology.

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Web services recover after Cloudflare restores its network systems

Cloudflare has resolved a technical issue that briefly disrupted access to major platforms, including X, ChatGPT, and Letterboxd. Users had earlier reported internal server error messages linked to Cloudflare’s network, indicating that pages could not be displayed.

The disruption began around midday UK time, with some sites loading intermittently as the problem spread across the company’s infrastructure. Cloudflare confirmed it was investigating an incident affecting multiple customers and issued rolling updates as engineers worked to identify the fault.

Outage tracker Down Detector also experienced difficulties during the incident, later showing a sharp rise in reports once it came back online. The pattern pointed to a broad network-level failure rather than isolated platform issues.

Users saw repeated internal server error warnings asking them to try again, though services began recovering as Cloudflare isolated the cause. The company has not yet released full technical details, but said the fault has been fixed and that systems are stabilising.

Cloudflare provides routing, security, and reliability tools for a wide range of online services, making a single malfunction capable of cascading globally. The company said it would share further information on the incident and steps taken to prevent similar failures.

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Google enters a new frontier with Gemini 3

A new phase of its AI strategy has begun for Google with the release of Gemini 3, which arrives as the company’s most advanced model to date.

The new system prioritises deeper reasoning and more subtle multimodal understanding, enabling users to approach difficult ideas with greater clarity instead of relying on repetitive prompting. It marks a major step for Google’s long-term project to integrate stronger intelligence into products used by billions.

Gemini 3 Pro is already available in preview across the Gemini app, AI Mode in Search, AI Studio, Vertex AI and Google’s new development platform known as Antigravity.

A model that performs at the top of major benchmarks in reasoning, mathematics, tool use and multimodal comprehension, offering substantial improvements compared with Gemini 2.5 Pro.

Deep Think mode extends the model’s capabilities even further, reaching new records on demanding academic and AGI-oriented tests, although Google is delaying wider release until additional safety checks conclude.

Users can rely on Gemini 3 to learn complex topics, analyse handwritten material, decode long academic texts or translate lengthy videos into interactive guides instead of navigating separate tools.

Developers benefit from richer interactive interfaces, more autonomous coding agents and the ability to plan tasks over longer horizons.

Google Antigravity enhances this shift by giving agents direct control of the development environment, allowing them to plan, write and validate code independently while remaining under human supervision.

Google emphasises that Gemini 3 is its most extensively evaluated model, supported by independent audits and strengthened protections against manipulation. The system forms the foundation for Google’s next era of agentic, personalised AI and will soon expand with additional models in the Gemini 3 series.

The company expects the new generation to reshape how people learn, build and organise daily tasks instead of depending on fragmented digital services.

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TikTok launches new tools to manage AI-generated content

TikTok has announced new tools to help users shape and understand AI-generated content (AIGC) in their feeds. A new ‘Manage Topics’ control will let users adjust how much AI content appears in their For You feeds alongside keyword filters and the ‘not interested’ option.

The aim is to personalise content rather than remove it entirely.

To strengthen transparency, TikTok is testing ‘invisible watermarking’ for AI-generated content created with TikTok tools or uploaded using C2PA Content Credentials. Combined with creator labels and AI detection, these watermarks help track and identify content even if edited or re-uploaded.

The platform has launched a $2 million AI literacy fund to support global experts in creating educational content on responsible AI. TikTok collaborates with industry partners and non-profits like Partnership on AI to promote transparency, research, and best practices.

Investments in AI extend beyond moderation and labeling. TikTok is developing innovative features such as Smart Split and AI Outline to enhance creativity and discovery, while using AI to protect user safety and improve the well-being of its trust and safety teams.

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UAE unveils first regulated AED-backed stablecoin

The UAE has taken a major step in its digital finance strategy as the Central Bank of the UAE approved Zand to launch Zand AED, the nation’s first regulated, multi-chain AED-backed stablecoin. The new asset places the dirham on global blockchain rails under the oversight of a fully licensed bank.

Zand AED is fully backed by reserves in regulated accounts, with real-time transparency through independently audited smart contracts and attestations.

Being available on multiple public blockchains enables fast cross-border settlement and simpler integration for developers, enterprises, and financial institutions.

Zand leadership described the launch as a significant advancement for the UAE’s position in global financial innovation. They highlighted that Zand AED bridges traditional and decentralised finance, enabling payments, tokenisation, and digital asset applications.

Analysts expect the global stablecoin market to expand to trillions, and Zand AED positions the UAE as a leading hub for regulated digital finance. The stablecoin offers a secure, scalable foundation for institutions and FinTechs in a leading global financial ecosystem.

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EU examines Amazon and Microsoft influence in cloud services

European regulators have launched three market investigations into cloud computing amid growing concerns about sector concentration.

The European Commission will assess whether Amazon Web Services and Microsoft Azure should be designated as gatekeepers for their cloud services under the Digital Markets Act, despite not meeting the formal threshold criteria.

Officials argue that cloud infrastructure now underpins AI development and many digital services, so competition must remain open and fair.

A move that signals a broader shift in EU oversight of strategic technologies. Rather than focusing solely on size, investigators will examine whether the two providers act as unavoidable gateways between businesses and users.

They will analyse network effects, switching costs and the role of corporate structures that might deepen market dominance. If the inquiries confirm gatekeeper status, both companies will face the DMA’s full obligations and a six-month compliance period.

A parallel investigation will explore whether existing DMA rules adequately address cloud-specific risks that might limit competition. Regulators aim to clarify whether obstacles to interoperability, restricted access to data, tying of services and imbalanced contractual terms require updated obligations.

Insights gathered from industry, public bodies and civil society will feed into a final report within 18 months, potentially leading to changes via a delegated act.

EU officials underline that Europe’s competitiveness, technological resilience and future AI capacity rely on a fair cloud environment. They argue that a transparent and contestable market will strengthen Europe’s strategic autonomy and encourage innovation.

The inquiries will shape how digital platforms are regulated as cloud services become increasingly central to economic and social life.

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Cloudflare outage disrupts leading crypto platforms

Cloudflare experienced a significant network outage on Tuesday, which disrupted access to major cryptocurrency platforms, including Coinbase, Kraken, Etherscan, and several DeFi services, resulting in widespread ‘500 Internal Server Error’ messages.

The company acknowledged the issue as an internal service degradation across parts of its global network and began rolling out a fix. However, users continued to face elevated error rates during the process.

Major Bitcoin and Ethereum platforms, as well as Aave, DeFiLlama, and several blockchain explorers, were impacted. The disruption spread beyond crypto, affecting several major Web2 platforms, while services like BlueSky and Reddit stayed fully operational.

Cloudflare shares dropped 3.5% in pre-market trading as the company investigated whether scheduled maintenance at specific data centres played any role.

The incident marks the third significant Cloudflare disruption affecting crypto platforms since 2019, highlighting the industry’s ongoing reliance on centralised infrastructure providers despite its focus on decentralisation.

Industry experts pointed to recent outages from Cloudflare and Amazon Web Services as evidence that critical digital services cannot rely solely on a single vendor for reliability. Kraken restored access ahead of many peers, while Cloudflare stated that the issue was resolved and would continue to monitor for full stability.

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