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AI brain atlas reveals unprecedented detail in MRI scans

Researchers at University College London have developed NextBrain, an AI-assisted brain atlas that visualises the human brain in unprecedented detail. The tool links microscopic tissue imaging with MRI, enabling rapid and precise analysis of living brain scans.

NextBrain maps 333 brain regions using high-resolution post-mortem tissue data, which is combined into a digital 3D model with the aid of AI. The atlas was created over the course of six years by dissecting, photographing, and digitally reconstructing five human brains.

AI played a crucial role in aligning microscope images with MRI scans, ensuring accuracy while significantly reducing the time required for manual labelling. The atlas detects subtle changes in brain sub-regions, such as the hippocampus, crucial for studying diseases like Alzheimer’s.

Testing on thousands of MRI scans demonstrated that NextBrain reliably identifies brain regions across different scanners and imaging conditions, enabling detailed analysis of ageing patterns and early signs of neurodegeneration.

All data, tools, and annotations are openly available through the FreeSurfer neuroimaging platform. The public release of NextBrain aims to accelerate research, support diagnosis, and improve treatment for neurological conditions worldwide.

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Tinder tests AI feature that analyses photos for better matches

Tinder is introducing an AI feature called Chemistry, designed to better understand users through interactive questions and optional access to their Camera Roll. The system analyses personal photos and responses to infer hobbies and preferences, offering more compatible match suggestions.

The feature is being tested in New Zealand and Australia ahead of a broader rollout as part of Tinder’s 2026 product revamp. Match Group CEO Spencer Rascoff said Chemistry will become a central pillar in the app’s evolving AI-driven experience.

Privacy concerns have surfaced as the feature requests permission to scan private photos, similar to Meta’s recent approach to AI-based photo analysis. Critics argue that such expanded access offers limited benefits to users compared to potential privacy risks.

Match Group expects a short-term financial impact, projecting a $14 million revenue decline due to Tinder’s testing phase. The company continues to face user losses despite integrating AI tools for safer messaging, better profile curation and more interactive dating experiences.

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EU conference highlights the need for collaboration in digital safety and growth

European politicians and experts gathered in Billund for the conference ‘Towards a Safer and More Innovative Digital Europe’, hosted by the Danish Parliament.

The discussions centred on how to protect citizens online while strengthening Europe’s technological competitiveness.

Lisbeth Bech-Nielsen, Chair of the Danish Parliament’s Digitalisation and IT Committee, stated that the event demonstrated the need for the EU to act more swiftly to harness its collective digital potential.

She emphasised that only through cooperation and shared responsibility can the EU match the pace of global digital transformation and fully benefit from its combined strengths.

The first theme addressed online safety and responsibility, focusing on the enforcement of the Digital Services Act, child protection, and the accountability of e-commerce platforms importing products from outside the EU.

Participants highlighted the importance of listening to young people and improving cross-border collaboration between regulators and industry.

The second theme examined Europe’s competitiveness in emerging technologies such as AI and quantum computing. Speakers called for more substantial investment, harmonised digital skills strategies, and better support for businesses seeking to expand within the single market.

A Billund conference emphasised that Europe’s digital future depends on striking a balance between safety, innovation, and competitiveness, which can only be achieved through joint action and long-term commitment.

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Jobs and skills transform as AI changes the workplace

AI is transforming the job market as companies cut traditional roles and expand AI-driven positions. Major employers like Accenture, IBM and Amazon are investing heavily in training while reducing headcount, signalling a shift in what skills truly matter.

Research from Drexel University highlights a growing divide between organisations that adopt AI and workers who are prepared to use it effectively. Surveys show that while most companies rely on AI in daily operations, fewer than four in ten believe their employees are ready to work alongside intelligent systems.

Experts say the future belongs to those with ‘human-AI fluency’ that means people who can question, interpret and apply machine output to real business challenges. Firms that build trust, encourage learning and blend technical understanding with sound judgement are proving best equipped to thrive in the AI era.

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Jersey launches AI council to drive innovation

A new Artificial Intelligence Council has been launched in Jersey to strengthen collaboration and coordinate the island’s approach to AI adoption. Led by Digital Jersey, the council seeks to bring together public and private sector initiatives to ensure AI technologies are used responsibly and effectively.

The council’s mission is to facilitate cooperation and knowledge exchange among key organisations, including the government, Jersey Finance, and the Institute of Directors. It aims to create a unified plan that draws on members’ expertise to maximise benefits while reducing potential risks.

Tony Moretta, chief executive of Digital Jersey and chair of the AI Council, said the island was at a pivotal stage in its AI journey. He emphasised that collective action could accelerate progress far more than isolated efforts across individual organisations.

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Turner & Townsend report finds power access threatens AI data centre construction

A new Turner & Townsend survey has found that power access and supply chains are the biggest obstacles to scaling AI data centres. Drawing on over 300 projects in more than 20 countries and input from 280 experts, the report states that 48% of respondents cite securing access to power as the top constraint, with wait times of up to seven years in the US.

The scale of planned build-outs is also intensifying the crunch. OpenAI’s disclosed projects alone would require 55.2 GW, enough electricity for about 44.2 million homes, putting data centres in direct competition with housing and manufacturing for limited power capacity across the US, UK and Europe. Turner & Townsend recommends on-site generation, energy storage or grid-independent power to keep projects moving, especially for AI facilities.

Cooling technology is the second chokepoint. Eighty-three percent of industry professionals say local supply chains cannot yet support advanced cooling for high-density AI. Moreover, costs are rising.

Air-cooled facilities saw a 5.5% cost-per-watt increase, while AI-optimised liquid-cooled designs are 7–10% more expensive than comparable air-cooled builds. The report urges operators to review procurement models to strengthen supply chains and accelerate delivery.

Governments are prioritising AI infrastructure, but investment is at risk without faster grid connections and reliable component supply. ‘Power availability remains a critical barrier,’ said Paul Barry of Turner & Townsend North America, noting growing competition for electricity from businesses and consumers. Chip supply could add further delays if manufacturers are unable to meet demand.

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Google launches Project Suncatcher to scale AI computing in space

Google has unveiled Project Suncatcher, a research initiative exploring how AI computation could be scaled in space. The project aims to create an interconnected constellation of solar-powered satellites equipped with Google’s Tensor Processing Unit (TPU) chips.

Researchers hope that off-Earth computation could unlock new possibilities for high-performance AI, powered directly by the Sun. Early research focuses on satellite design, communication systems and radiation testing to ensure the TPUs function in orbit.

The company plans a joint mission with Planet to launch two prototype satellites by early 2027. These trials will test the hardware in space and assess the feasibility of large-scale solar computation networks.

Project Suncatcher continues Google’s tradition of ambitious research ‘moonshots’, following advances in quantum computing and autonomous systems. If successful, it could redefine how energy and computing resources are harnessed for future AI breakthroughs.

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Samsung strengthens Galaxy AI privacy and user control features

Samsung has expanded its privacy and security controls for Galaxy AI, emphasising transparency and user choice. The company stated that its AI systems are designed with privacy at their core, ensuring users remain in control of how their personal data is managed and processed.

Galaxy AI combines on-device and cloud-based processing, enabling users to choose where their information is processed. Features such as Live Translate, Interpreter and Generative Edit can operate fully on-device, preventing sensitive data from leaving the phone.

Samsung’s Security and Privacy dashboard provides clear visibility into app permissions, data sharing, and potential threats. Users can track which apps have accessed personal information and enable Auto Blocker, a tool that prevents malware and unauthorised installations.

Additional settings like Maximum Restrictions provide an extra layer of defence by blocking unsafe networks and preventing data interception. Samsung stated that its goal is to develop smarter, adaptive security systems that safeguard privacy while supporting the evolution of AI capabilities.

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UAE invites public to design commemorative AI coin

The UAE has launched a pioneering initiative inviting the public to design a commemorative coin using AI. The competition, run by the AI Office and Central Bank, coincides with National Code Day, marking the UAE’s first electronic government in 2001.

Participants must create a circular coin design with generative AI tools, adhering to ethical and legal standards suitable for minting. Officials emphasise that the initiative reflects the UAE’s ambition to reinforce its position as a global hub for technology and innovation.

Omar Sultan Al Olama, Minister of State for Artificial Intelligence, highlighted the project as part of the nation’s digital vision. Central Bank Governor Khaled Mohamed Balama added that the competition promotes public engagement and the development of innovative skills.

The winning design will feature on a commemorative coin issued by the UAE Central Bank, symbolising the country’s leadership in the digital era.

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Google AI roadmap aims to accelerate nature protection and restoration

Google and the World Resources Institute have co-authored a new paper on how to harness AI to support conservation efforts. The paper begins by highlighting successful applications of AI in nature conservation. There are near-real-time monitoring tools that track forests and oceans.

For instance, platforms like Global Fishing Watch scan billions of satellite signals to map human activity at sea and support sustainable fishing. Citizen-science apps such as iNaturalist use AI to identify plants and animals from a photo, turning observations into usable biodiversity data.

New multimodal approaches combine satellite imagery, audio recordings and field notes to help scientists understand whole ecosystems and decide where conservation efforts are needed most.

The report sets out three recommendations to scale the impact AI. First, expand primary biodiversity data and shared infrastructure, collect more images, audio and field observations, and make them accessible through common standards and public repositories.

Second, invest in open, trustworthy models and platforms (for example, Wildlife Insights), with transparent methods, independent testing and governance so results can be reused and audited.

Third, strengthen two-way knowledge exchange between AI developers, practitioners, and indigenous and local communities through co-design, training and funding, ensuring tools match real needs on the ground.

Their message is that AI can act as a force multiplier, but only when paired with on-the-ground capacity, ethical safeguards and long-term funding, enabling communities and conservation agencies to use these tools to protect and restore ecosystems. However, Google has faced scrutiny in the past over meeting its climate goals, including its commitment to reduce carbon emissions by 2030.

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