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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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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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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YouTube has unveiled a new suite of AI tools designed to enhance the creation of Shorts, with its headline innovation being Veo 3 Fast, a streamlined version of Google DeepMind’s video model.
A system that can generate 480p clips with sound almost instantly, marking the first time audio has been added to Veo-generated Shorts. It is already being rolled out in the US, the UK, Canada, Australia and New Zealand, with other regions to follow instead of a limited release.
The platform also introduced several advanced editing features, such as motion transfer from video to still images, text-based styling, object insertion and Speech to Song Remixing, which converts spoken dialogue into music through DeepMind’s Lyria 2 model.
Testing will begin in the US before global expansion.
Another innovation, Edit with AI, automatically assembles raw footage into a rough cut complete with transitions, music and interactive voiceovers. YouTube confirmed the tool is in trials and will launch in select markets within weeks instead of years.
All AI-generated Shorts will display labels and watermarks to maintain transparency, as YouTube pushes to expand creator adoption and boost Shorts’ growth as a rival to TikTok and Instagram Reels.
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ADP enables businesses to generate autonomous AI agents that can be integrated into workflows, including customer service, marketing, inventory management, and research.
Tencent is also upgrading its internal models and infrastructure, such as ‘Agent Runtime’, to support stable, secure, and business-aligned agent deployment.
Other new tools include the SaaS+AI toolkit, which enhances productivity in office collaboration (for example, AI Minutes in Tencent Meetings) and knowledge management via Tencent LearnShare. A coding assistant called CodeBuddy is claimed to reduce developers’ coding time by 40 percent while increasing R&D efficiency by about 16 percent.
In line with its international expansion, Tencent Cloud announced that its overseas client base has doubled since last year and that it now operates across over 20 regions.
The rollout also includes open-source contributions: multilingual translation models, large multimodal models, and new Hunyuan 3D creative tools have been made available globally.
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YouTube has introduced new AI-powered tools to make video creation more playful and effortless. The features include Veo 3 Fast, a video generation model from Google DeepMind, now integrated into YouTube Shorts.
Veo 3 Fast allows creators to generate videos with sound directly from their phones at 480p, all for free.
New Shorts capabilities let users add motion to photos, apply artistic styles, and insert objects into scenes with simple text prompts. These tools expand creative options and simplify content creation, with YouTube set to test them in the coming months.
The platform also launched Edit with AI, automatically transforming raw footage into a first draft with music, transitions, and voiceovers in English or Hindi. The feature helps creators quickly develop their videos, leaving more time for personalisation and refinement.
In addition, YouTube introduced Speech to Song, enabling users to remix dialogue from eligible videos into catchy soundtracks using Lyria 2, Google DeepMind’s AI music model. All AI-generated content includes SynthID watermarks and content labels to ensure transparency and proper attribution.
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PostFinance, Sygnum Bank and UBS, under the Swiss Bankers Association, have successfully tested a deposit token on a public blockchain. For the first time, banks completed a legally binding cross-bank payment with tokenised deposits, a breakthrough for Switzerland’s financial sector.
The proof of concept (PoC) explored how bank deposits can be represented on blockchain to enable faster, programmable and fully automated payments. Smart contracts on the system allow transactions to be triggered only when agreed conditions are met, reducing risk while increasing efficiency.
Use cases tested included payments between customers of different banks and escrow-style settlements for tokenised assets.
Results confirm that deposit tokens are technically and legally feasible across banks when combined with a public blockchain and permissioned applications. Such infrastructure could enable automated insurance settlements, instant securities trading, and machine-to-machine payments.
Industry leaders stressed that while the PoC proves feasibility, scaling will require broader cooperation with other institutions, regulators and infrastructure providers.
Project representatives described the work as a decisive step toward digital money innovation in Switzerland, reinforcing the country’s role as a pioneer in blockchain-based finance.
The Swiss Bankers Association confirmed that the project aligns with its strategic focus on digital currencies, though the results do not yet mean deposit tokens will be formally launched.
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American Express has introduced a suite of digital tools designed to make travel easier, smarter, and more personalised for Card Members. The new Amex Travel App™ brings planning, booking, and trip management into one platform.
It offers curated destinations, smart planning tools, and easy booking for flights, hotels, and car rentals. The app will be available to iOS users from 18 September, with Android following shortly after.
The company has also launched Amex Passport, enabling US Card Members to collect digital Stamps commemorating international trips. Each Stamp is stored on a public blockchain, allowing users to preserve and share their travel history as unique digital keepsakes.
The feature caters to travellers seeking new ways to celebrate past journeys and share highlights with friends and family.
Enhancements have also been made to Centurion Lounge services, including estimated wait times on the Digital Waitlist, allowing Card Members to plan visits more efficiently.
These updates form part of American Express’ commitment to evolving the premium travel experience, ensuring every stage of the journey, from inspiration to post-trip memories- is smoother, personalised, and more memorable.
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The service integrates seamlessly with existing investments, removing the need to transfer funds to other platforms. It also provides the protection of MiCA regulations and the backing of Santander.
Competitive fees of 1.49% per trade apply, with no custody charges, and the service will soon be available to customers in Spain. Over the coming months, Openbank plans to expand its portfolio and introduce new features, such as direct conversion between different digital assets.
The launch strengthens Openbank’s investment offerings in Germany, complementing its Robo Advisor and thousands of stocks, funds, and ETFs. It also includes an AI-powered broker platform providing target prices for European and US stocks.
Grupo Santander emphasises that the new crypto trading service responds to customer demand while broadening the bank’s range of innovative, technology-driven investment products.
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