Capacity development

New AI tools aim to speed discovery of effective HIV vaccines

Over 40 million people worldwide are living with HIV, a chronic infection that remains a leading cause of death. Developing an effective vaccine has proven difficult due to the virus’s rapid mutations and the vast volume of clinical data produced during trials.

Scripps Research has received $1.1 million from CHAVD to purchase high-performance computing and AI technology. The investment lets researchers analyse millions of vaccine candidates faster, speeding antibody identification and refining experimental vaccines.

StepwiseDesign enables the AI system to evaluate vaccine-induced antibodies and identify the most promising candidates for development. The system has found rare antibodies that neutralise HIV in uninfected individuals, showing its ability to detect extremely rare precursors.

Researchers hope the computational framework will not only fast-track HIV vaccine development but also be applied to other complex pathogens, including influenza and malaria. The project highlights collaboration and innovation, with potential to improve global health outcomes for millions at risk.

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Health sector AI growth in Europe raises safety concerns

Concerns are growing as European countries expand the use of AI in healthcare without establishing sufficient protections for patients or healthcare workers.

A new World Health Organisation report found significant disparities in how nations develop, regulate and fund AI tools.

Some countries are rapidly deploying chatbots, imaging systems and data-analysis tools, while others have barely started integrating AI into their health services. Only four nations across Europe and Central Asia currently have a national strategy dedicated to AI in health care.

WHO officials warn that weak safeguards could lead to biassed algorithms, medical errors and increased inequality in access to care.

The report urges governments to strengthen legal frameworks, train health workers in AI literacy and ensure these technologies are rigorously tested before reaching patients.

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Sundar Pichai warns users not to trust AI tools easily

Google CEO Sundar Pichai advises people not to unquestioningly trust AI tools, warning that current models remain prone to errors. He told the BBC that users should rely on a broader information ecosystem rather than treat AI as a single source of truth.

Pichai said generative systems can produce inaccuracies and stressed that people must learn what the tools are good at. The remarks follow criticism of Google’s own AI Overviews feature, which attracted attention for erratic and misleading responses during its rollout.

Experts say the risk grows when users depend on chatbots for health, science, or news. BBC research found major AI assistants misrepresented news stories in nearly half of the tests this year, underscoring concerns about factual reliability and the limits of current models.

Google is launching Gemini 3.0, which it claims offers stronger multimodal understanding and reasoning. The company says its new AI Mode in search marks a shift in how users interact with online information, as it seeks to defend market share against ChatGPT and other rivals.

Pichai says Google is increasing its investment in AI security and releasing tools to detect AI-generated images. He maintains that no single company should control such powerful technology and argues that the industry remains far from a scenario in which one firm dominates AI development.

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WHO warns Europe faces widening risks as AI outpaces regulation

A new WHO Europe report warns that AI is advancing faster than health policies can keep up, risking wider inequalities without stronger safeguards. AI already helps doctors with diagnostics, reduces paperwork and improves patient communication, yet significant structural safeguards remain incomplete.

The assessment, covering 50 participating countries across the region, shows that governments acknowledge AI’s transformative potential in personalised medicine, disease surveillance and clinical efficiency. Only a small number, however, have established national strategies.

Estonia, Finland and Spain stand out for early adoption- whether through integrated digital records, AI training programmes or pilots in primary care- but most nations face mounting regulatory gaps.

Legal uncertainty remains the most common obstacle, with 86 percent of countries citing unclear rules as the primary barrier to adoption, followed by financial constraints. Fewer than 10 percent have liability standards defining responsibility when AI-driven decisions cause harm.

WHO urged governments to align AI policy with public health goals, strengthen legal and ethical frameworks, improve cross-border data governance and invest in an AI-literate workforce to ensure patients stay at the centre of the transformation.

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Rising AI demand fuels new climate questions

A growing debate over AI dominated COP30 in Brazil, as delegates weighed its capacity to support climate solutions against its rapidly rising environmental costs.

Technology leaders argued that AI can strengthen energy management, refine climate research and enhance conservation programmes.

Participants highlighted an expanding number of AI-driven tools showcased at the summit, reflecting both enthusiasm and caution about their long-term influence.

Several countries noted that AI systems could help smaller delegations review complex negotiation documents and take part more effectively.

Environmental advocates warned that ballooning electricity use and water demand from data centres risk undermining climate targets.

Campaigners pressed for tighter rules, including mandatory public-interest testing for new facilities and reliance on on-site renewable energy.

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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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Chrome receives emergency update to fix high-severity zero-day flaw

Google has issued an emergency update to fix the seventh Chrome zero-day exploited in attacks this year. The flaw, tracked as CVE-2025-13223, is caused by a type confusion bug in the browser’s V8 JavaScript engine and was used in the wild before the patch was released.

The company says updates will roll out across the Stable Desktop channel in the coming weeks, though users can install the fix immediately by checking for updates in Chrome’s settings. Google is withholding technical details until most users have upgraded to avoid encouraging further exploitation.

The vulnerability was reported by a member of Google’s Threat Analysis Group and allowed attackers to trigger code execution or browser crashes through malicious HTML pages. It continues a pattern of high-severity zero-days discovered and patched throughout 2025.

Google stresses that prompt updates remain essential, as attackers often target unpatched systems. Automatic updates can help ensure that newly released fixes reach users quickly and reduce exposure to emerging threats.

Security experts also recommend enabling scheduled antivirus scans and using protective features, such as hardened browsers or VPNs. With multiple zero-days already patched this year, analysts say more are likely, and users should keep Chrome’s update settings enabled.

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AI promises better communication tools for disabled users

Students with disabilities met technology executives at National Star College in Gloucestershire, UK to explain what they need from communication devices. Battery life emerged as the top priority, with users saying they need devices that last 24 hours without charging so they can communicate all day long.

One student who controls his device by moving his eyes said losing power during the day feels like having his voice ripped away from him. Another student with cerebral palsy wants her device to help her run a bath independently and eventually design fairground rides that disabled people can enjoy.

Technology companies responded by promising artificial intelligence improvements that will make the devices work much faster. The new AI features will help users type more quickly, correct mistakes automatically and even create personalised voices that sound like the actual person speaking.

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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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