NVIDIA and the UK are accelerating plans to build the nation’s AI infrastructure, positioning the country as a hub for AI innovation, jobs and research.
The partnership, announced by Prime Minister Keir Starmer and NVIDIA CEO Jensen Huang earlier in the year, has already resulted in commitments worth up to £11 billion.
A rollout that includes AI factories equipped with 120,000 NVIDIA Blackwell GPUs across UK data centres, supporting projects such as OpenAI’s Stargate UK.
NVIDIA partner Nscale will host 60,000 of these GPUs domestically while expanding its global capacity to 300,000. Microsoft, CoreWeave and other partners are also investing in advanced supercomputing facilities, with new projects announced in England and Scotland.
NVIDIA is working with Oxford Quantum Circuits and other research institutions to integrate AI and quantum technologies in a collaboration that extends to quantum computing.
Universities in Edinburgh and Oxford are advancing GPU-driven quantum error correction and AI-controlled quantum hardware, highlighting the UK’s growing role in cutting-edge science.
To prepare the workforce, NVIDIA has joined forces with techUK and QA to provide training programmes and AI skills development.
The government has framed the initiative as a foundation for economic resilience, job creation and sovereign AI capability, aiming to place Britain at the forefront of the AI industrial revolution.
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Zuckerberg’s Meta has unveiled a new generation of smart glasses powered by AI at its annual Meta Connect conference in California. Working with Ray-Ban and Oakley, the company introduced devices including the Meta Ray-Ban Display and the Oakley Meta Vanguard.
These glasses are designed to bring the Meta AI assistant into daily use instead of being confined to phones or computers.
The Ray-Ban Display comes with a colour lens screen for video calls and messaging and a 12-megapixel camera, and will sell for $799. It can be paired with a neural wristband that enables tasks through hand gestures.
Meta also presented $499 Oakley Vanguard glasses aimed at sports fans and launched a second generation of its Ray-Ban Meta glasses at $379. Around two million smart glasses have been sold since Meta entered the market in 2023.
Analysts see the glasses as a more practical way of introducing AI to everyday life than the firm’s costly Metaverse project. Yet many caution that Meta must prove the benefits outweigh the price.
Chief executive Mark Zuckerberg described the technology as a scientific breakthrough. He said it forms part of Meta’s vast AI investment programme, which includes massive data centres and research into artificial superintelligence.
The launch came as activists protested outside Meta’s New York headquarters, accusing the company of neglecting children’s safety. Former safety researchers also told the US Senate that Meta ignored evidence of harm caused by its VR products, claims the company has strongly denied.
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Hammersmith and Fulham Council has approved a £3m upgrade to its CCTV system to see facial recognition and AI integrated across the west London borough.
With over 2,000 cameras, the council intends to install live facial recognition technology at crime hotspots and link it with police databases for real-time identification.
Alongside the new cameras, 500 units will be equipped with AI tools to speed up video analysis, track vehicles, and provide retrospective searches. The plans also include the possible use of drones, pending approval from the Civil Aviation Authority.
Council leader Stephen Cowan said the technology will provide more substantial evidence in a criminal justice system he described as broken, arguing it will help secure convictions instead of leaving cases unresolved.
Civil liberties group Big Brother Watch condemned the project as mass surveillance without safeguards, warning of constant identity checks and retrospective monitoring of residents’ movements.
Some locals also voiced concern, saying the cameras address crime after it happens instead of preventing it. Others welcomed the move, believing it would deter offenders and reassure those who feel unsafe on the streets.
The Metropolitan Police currently operates one pilot site in Croydon, with findings expected later in the year, and the council says its rollout depends on continued police cooperation.
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AI is reshaping healthcare, according to experts featured in Microsoft’s new podcast seriesThe AI Revolution in Medicine, Revisited.
Peter Lee, President of Microsoft Research, spoke with clinicians and researchers about how AI is helping doctors work more effectively and patients access better care. From note-taking during visits to accelerating drug discovery, the technology is already proving its value.
A doctor of UC San Diego Health in the US said AI helps physicians draft longer, more empathetic responses to patient messages, reducing mental strain. Meanwhile, Stanford’s Dr Roxana Daneshjou described how AI detected a dosage error in a medical summary, acting as a crucial safeguard.
Bill Gates highlighted how AI could boost healthcare in low-income regions by providing medical intelligence where doctors are scarce. Other guests suggested the technology may even blur traditional boundaries between medical specialties while accelerating drug development.
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The US tech giant, Google, has introduced a new experimental app for Windows that combines web search, file discovery and Google Lens in a single interface.
The tool, known as the Google app for Windows, is part of Search Labs and is designed to allow users to find information faster instead of interrupting their workflow.
An app that can be launched instantly using the Alt+Space shortcut, opening a Spotlight-like bar similar to Apple’s macOS. Users can search local files, installed applications, Google Drive content and web results. It supports multiple modes, including AI-generated answers, images, videos, shopping and news.
A dark mode is available for those who prefer night-time use, and the search bar can be resized or repositioned on the desktop instead of staying fixed.
Google has also built its Lens technology, allowing users to select and search images directly on screen, translate text or solve mathematical problems. An AI Mode offers detailed replies, though it can be disabled or customised through the settings menu.
The experimental app is currently limited to English-speaking users in the US and requires Windows 10 or Windows 11. Google has not yet confirmed when it will expand availability to more regions.
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Scaling law estimation helps organisations make better decisions about architecture, optimisers and dataset sizes before devoting extensive compute budgets.
The team assembled over 485 pre-trained models across 40 families (including Pythia, OPT, Bloom, LLaMA and others) and tracked almost 1.9 million performance metrics. Using that dataset, they fit more than 1,000 scaling laws and assessed variables such as the number of parameters, the token count, intermediate training checkpoints, and seed effects.
Practical recommendations include discarding training data from very early stages (before about 10 billion tokens), using several small models across sizes rather than only large ones, and using intermediate checkpoints rather than waiting for final model loss.
The guide also notes that a 4 percent absolute relative error (ARE) is near best-case for prediction quality, though up to 20 percent ARE remains useful depending on budget.
Because training large models can cost millions, these scaling laws also help those without huge resources to approximate outcomes more safely. AI model inference scaling laws are still under development and are flagged as important future work.
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Hong Kong will establish a new team to advance the use of AI across government departments, Chief Executive John Lee confirmed during his 2025 Policy Address.
The AI Efficacy Enhancement Team, led by Deputy Chief Secretary Warner Cheuk, will coordinate reforms to modernise outdated processes and promote efficiency.
Lee said his administration would focus on safe ‘AI+ development’, applying the technology in public services and encouraging adoption across different sectors instead of relying on traditional methods.
He added that Hong Kong had the potential to grow into a global hub for AI and would treat the field as a core industry for the city’s economic future.
Examples of AI adoption are already visible.
The government’s 1823 enquiry hotline uses voice recognition to cut response times by 30 per cent, while the Census and Statistics Department applies AI models to trade data and company reports, reducing manual checks by 40 per cent and improving accuracy.
Authorities expect upcoming censuses in 2026 and 2031 to save about $680 million through AI and data science technologies instead of conventional manpower-heavy methods.
The announcement comes shortly after China unveiled its national AI policy blueprint, which seeks widespread integration of the technology in research, governance and industry, with a target of 90 per cent prevalence by 2030.
Hong Kong’s approach is being positioned as part of a wider push for technological leadership in the region.
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Business Insider has issued a memo saying journalists may use AI to help draft stories, while making it clear that authors remain fully responsible for what is published under their names.
The guidelines define what kinds of AI use are permitted, such as assisting with research or generating draft text, but stress that final edits, fact-checking, and the author’s voice must be preserved.
Some staff welcomed the clarity after months of uncertainty, saying the new policy could help speed up routine work. Others raised concerns about preserving editorial quality and resisting over-reliance on AI for creativity or original insight.
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The World Economic Forum (WEF) has published an article on using trade policy to build a fairer digital economy. Digital services now make up over half of global exports, with AI investment projected at $252 billion in 2024. Countries from Kenya to the UAE are positioning as digital hubs, but job quality still lags.
Millions of platform workers face volatile pay, lack of contracts, and no access to social protections. In Kenya alone, 1.9 million people rely on digital work yet face algorithm-driven pay systems and sudden account deactivations. India and the Philippines show similar patterns.
AI threatens to automate lower-skilled tasks such as data annotation and moderation, deepening insecurity in sectors where many developing countries have found a competitive edge. Ethical standards exist but have little impact without enforcement or supportive regulation.
Countries are experimenting with reforms: Singapore now mandates injury compensation and retirement savings for platform workers, while the Rider Law in Spain reclassifies food couriers as employees. Yet overly strict regulation risks eroding the flexibility that attracts youth and caregivers to gig work.
Trade agreements, such as the AfCFTA and the Kenya–EU pact, could embed labour protections in digital markets. Coordinated policies and tripartite dialogue are essential to ensure the digital economy delivers growth, fairness, and dignity for workers.
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Google has unveiled the Agent Payments Protocol (AP2), a new system enabling AI applications to send and receive payments, including stablecoins pegged to traditional currencies.
Developed with Coinbase, the Ethereum Foundation, and over 60 other finance and technology firms, AP2 aims to standardise transactions between AI agents and merchants.
The protocol builds on Google’s earlier Agent2Agent framework, extending it to financial interactions. AP2 supports credit and debit cards, bank transfers, and stablecoins, providing a secure and compliant foundation for automated payments.
By introducing a shared language for AI-led transactions, the system addresses risks linked to authorisation, authenticity, and accountability without human intervention.
The project reflects growing interest in stablecoins, whose circulation recently rose to $289 billion from $205 billion at the start of the year. Integrating stablecoins into AI could change how automated systems manage payments, from daily purchases to complex financial tasks.
Google and its collaborators emphasise AP2’s goal of interoperability across industries, offering flexibility, compliance, and scalability. The initiative makes digital money central to AI, signalling a shift in automated financial transactions.
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