Development

Starcloud launches data centres into space

A new era in data technology is emerging as Starcloud, a member of NVIDIA’s Inception startup program, prepares to send its first AI-driven satellite into orbit next month.

The mission marks the debut of NVIDIA’s H100 GPU in space and represents a decisive step toward the creation of large-scale orbital data centres designed to meet the planet’s soaring demand for AI.

By operating data centres in space, Starcloud aims to cut energy costs by tenfold and significantly reduce carbon emissions. The vacuum of space will serve as a natural cooling system, while constant exposure to solar energy will eliminate the need for batteries or backup power.

According to CEO Philip Johnston, the only environmental cost will come from the launch itself, resulting in substantial carbon savings over the data centre’s lifetime.

Starcloud’s technology could transform how Earth observation data is processed. Instead of transmitting raw information back to the ground, satellites will analyse it in real time, improving responses to wildfires, weather changes, and agricultural needs.

The company plans to run Google’s open AI model Gemma on its satellite and eventually integrate NVIDIA’s next-generation Blackwell GPUs, boosting computing power even further.

Johnston predicts that within a decade, most new data centres will be built in orbit. If achieved, Starcloud’s innovation could mark the beginning of a sustainable digital revolution powered by the stars instead of the grid.

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Report warns of AI-driven divide in higher education

A new report from the Higher Education Policy Institute warns of an urgent need to improve AI literacy among staff and students in the UK. The study argues that without coordinated investment in training and policy, higher education risks deepening digital divides and losing relevance in an AI-driven world.

British report contributors say universities must move beyond acknowledging AI’s presence and instead adopt structured strategies for skill development. Kate Borthwick adds that both staff and students require ongoing education to manage how AI reshapes teaching, assessment, and research.

The publication highlights growing disparities in access and use of generative AI based on gender, wealth, and academic discipline. In a chapter written by ChatGPT, the report suggests universities create AI advisory teams within research offices and embed AI training into staff development programmes.

Elsewhere, Ant Bagshaw from the Australian Public Policy Institute warns that generative AI could lead to cuts in professional services staff as universities seek financial savings. He acknowledges the transition will be painful but argues that it could drive a more efficient and focused higher education sector.

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UK government uses AI to boost efficiency and save taxpayer money

The UK government has developed an AI tool, named ‘Consult’, which analysed over 50,000 responses to the Independent Water Commission review in just two hours. The system matched human accuracy and could save 75,000 days of work annually, worth £20 million in staffing costs.

Consult sorted responses into key themes at a cost of just £240, with experts needing only 22 hours to verify the results. The AI agreed with human experts 83% of the time, versus 55% between humans, letting officials focus on policy instead of administrative work.

The technology has also been used to analyse consultations for the Scottish government on non-surgical cosmetics and the Digital Inclusion Action Plan. Part of the Humphrey suite, the tool helps government act faster and deliver better value for taxpayers.

Digital Government Minister Ian Murray highlighted the potential of AI to deliver efficient services and save costs. Engineers are using insights from Consult and Redbox to develop new tools, including GOV.UK Chat, a generative AI chatbot soon to be trialled in the GOV.UK App.

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Humanity AI launches $500M initiative to build a people-centred future

A coalition of ten leading philanthropic foundations has pledged $500 million over five years to ensure that AI evolves in ways that strengthen humanity rather than marginalise it.

The initiative, called Humanity AI, brings together organisations such as the Ford, MacArthur, Mellon, and Mozilla foundations to promote a people-driven vision for AI that enhances creativity, democracy, and security.

As AI increasingly shapes every aspect of daily life, the coalition seeks to place citizens at the centre of the conversation instead of leaving decisions to a few technology firms.

It plans to support new research, advocacy, and partnerships that safeguard democratic rights, protect creative ownership, and promote equitable access to education and employment.

The initiative also prioritises the ethical use of AI in safety and economic systems, ensuring innovation does not come at the expense of human welfare.

John Palfrey, president of the MacArthur Foundation, said Humanity AI aims to shift power back to the public by funding technologists and advocates committed to responsible innovation.

Michele Jawando of the Omidyar Network added that the future of AI should be designed by people collectively, not predetermined by algorithms or corporate agendas.

Rockefeller Philanthropy Advisors will oversee the fund, which begins issuing grants in 2026. Humanity AI invites additional partners to join in creating a future where people shape technology instead of being shaped by it.

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Meta expands AI infrastructure with sustainable data centre in El Paso

The US tech giant, Meta, has begun construction on a new AI-optimised data centre in El Paso, Texas, designed to scale up to 1GW and power the company’s expanding AI ambitions.

The 29th in Meta’s global network, the site will support the next generation of AI models, underpinning technologies such as smart glasses, AI assistants, and real-time translation tools.

A data centre project that represents a major investment in both technology and the local community, contributing over $1.5 billion and creating about 1,800 construction jobs and 100 operational roles in its first phase.

Meta’s Community Accelerator programme will also help local businesses build digital and AI skills, while Community Action Grants are set to launch in El Paso next year.

Environmental sustainability remains central to the development. The data centre will operate on 100% renewable energy, with Meta covering the costs of new grid connections through El Paso Electric.

Using a closed-loop cooling system, the facility will consume no water for most of the year, aligning with Meta’s target to be water positive by 2030. The company plans to restore twice the amount of water used to local watersheds through partnerships with DigDeep and the Texas Water Action Collaborative.

The El Paso project, Meta’s third in Texas, underscores its long-term commitment to sustainable AI infrastructure. By combining efficiency, clean energy, and community investment, Meta aims to build the foundations for a responsible and scalable AI-driven future.

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SenseTime and Cambricon strengthen cooperation for China’s AI future

SenseTime and Cambricon Technologies have entered a strategic cooperation agreement to jointly develop an open and mutually beneficial AI ecosystem in China. The partnership will focus on software-hardware integration, vertical industry innovation, and the globalisation of AI technologies.

By combining SenseTime’s strengths in large model R&D, AI infrastructure, and industrial applications with Cambricon’s expertise in intelligent computing chips and high-performance hardware, the collaboration supports the national ‘AI+’ strategy of China.

Both companies aim to foster a new AI development model defined by synergy between software and hardware, enhancing domestic innovation and global competitiveness in the AI sector.

The agreement also includes co-development of adaptive chip solutions and integrated AI systems for enterprise and industrial use. By focusing on compatibility between the latest AI models and hardware architectures, the two firms plan to offer scalable, high-efficiency computing solutions.

A partnership that seeks to drive intelligent transformation across industries and promote the growth of emerging AI enterprises through joint innovation and ecosystem building.

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Adult erotica tests OpenAI’s safety claims

OpenAI will loosen some ChatGPT rules, letting users make replies friendlier and allowing erotica for verified adults. Altman framed the shift as ‘treat adult users like adults’, tied to stricter age-gating. The move follows months of new guardrails against sycophancy and harmful dynamics.

The change arrives after reports of vulnerable users forming unhealthy attachments to earlier models. OpenAI has since launched GPT-5 with reduced sycophancy and behaviour routing, plus safeguards for minors and a mental-health council. Critics question whether evidence justifies loosening limits so soon.

Erotic role-play can boost engagement, raising concerns that at-risk users may stay online longer. Access will be restricted to verified adults via age prediction and, if contested, ID checks. That trade-off intensifies privacy tensions around document uploads and potential errors.

It is unclear whether permissive policies will extend to voice, image, or video features, or how regional laws will apply to them. OpenAI says it is not ‘usage-maxxing’ but balancing utility with safety. Observers note that ambitions to reach a billion users heighten moderation pressures.

Supporters cite overdue flexibility for consenting adults and more natural conversation. Opponents warn normalising intimate AI may outpace evidence on mental-health impacts. Age checks can fail, and vulnerable users may slip through without robust oversight.

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Wider AI applications take centre stage at Japan’s CEATEC electronics show

At this year’s CEATEC exhibition in Japan, more companies and research institutions are promoting AI applications that stretch well beyond traditional factory or industrial automation.

Innovations on display suggest an increasing emphasis on ‘AI as companion’ systems, tools that help, advise, or augment human abilities in everyday settings.

Fujitsu’s showcase is a strong example. The company is using AI skeleton recognition and agent-based analysis to help people improve movement, whether for sports performance (such as refining a golf swing) or for healthcare settings. These systems give live feedback, coaching form, and offer suggestions, all in real time.

Other exhibits combine sensor tech, vision, and AI in consumer-friendly ways. For example, smart fridge compartments that monitor produce, earbuds or glasses that recognise real-world context (a flyer in a shop, say) and suggest recipes, or wearable systems that adapt to your motion.

These are not lab demos, they’re meant for direct, everyday interaction. Rising numbers of startups and university groups at CEATEC underscore Japan’s push toward embedding AI deeply in daily life.

The ‘AI for All’ theme and ‘Partner Parks’ at the show reflect a movement toward socially oriented technologies, with suggestions, health, ease, and personalisation. Japan seems to be leaning into AI not just for productivity gains but for lifestyle and well-being enhancements.

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OpenAI forms Expert Council to guide well-being in AI

OpenAI has announced the establishment of an Expert Council on Well-Being and AI to help it shape ChatGPT, Sora and other products in ways that promote healthier interactions and better emotional support.

The council comprises eight distinguished figures from psychology, psychiatry, human-computer interaction, developmental science and clinical practice.

Members include David Bickham (Digital Wellness Lab, Harvard), Munmun De Choudhury (Georgia Tech), Tracy Dennis-Tiwary (Hunter College), Sara Johansen (Stanford), Andrew K. Przybylski (University of Oxford), David Mohr (Northwestern), Robert K. Ross (public health) and Mathilde Cerioli (everyone.AI).

OpenAI says this new body will meet regularly with internal teams to examine how AI should function in ‘complex or sensitive situations,’ advise on guardrails, and explore what constitutes well-being in human-AI interaction. For example, the council already influenced how parental controls and user-teen distress notifications were prioritised.

OpenAI emphasises that it remains accountable for its decisions, but commits to ongoing learning through this council, the Global Physician Network, policymakers and experts. The company notes that different age groups, especially teenagers, use AI tools differently, hence the need for tailored insights.

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MIT develops AI tool for faster material testing

MIT engineers have created an AI system that can assess material quality faster and more cheaply by generating synthetic spectral data. The tool uses generative AI to produce spectral readings across different scanning modalities, allowing industries to verify materials without using multiple instruments.

By analysing one type of scan, such as infrared, SpectroGen can accurately recreate what the same material’s X-ray or Raman spectrum would look like. The process is completed in less than a minute with AI, compared with hours or days using traditional laboratory equipment.

Researchers said the system achieved a 99% match with real-world data in trials involving more than 6,000 mineral samples. The breakthrough could streamline quality control in manufacturing, pharmaceuticals, semiconductors, and battery production, cutting both time and cost.

Professor Loza Tadesse described SpectroGen as a ‘co-pilot’ for researchers and technicians. Her team is now exploring medical and agricultural applications in the US, supported by Google funding, and plans to commercialise the technology through a startup.

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