Met Office and Microsoft debut AI-ready forecasting system

The UK’s Met Office has launched a new supercomputer designed to significantly improve weather and climate forecasting accuracy. Operated via Microsoft’s Azure cloud platform, it is the world’s first cloud-based supercomputer dedicated solely to weather and climate science.

Capable of performing 60 quadrillion calculations per second—more than four times faster than its predecessor—the system is expected to enhance 14-day forecasts, improve rainfall predictions, and offer better data for sectors like aviation and energy.

The infrastructure, split across two data centres in southern England, runs entirely on renewable energy. Originally announced in 2020 with a £1.2 billion UK government investment, the project faced delays due to COVID-19 and global supply chain disruptions.

Despite recent cyberattacks on UK institutions, Met Office officials say the new system has robust security and represents a major technological upgrade.

The Met Office also says the new system will support AI integration and provide better insights into climate change-related events, such as floods and wildfires.

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Google releases NotebookLM app early

Google has launched its AI-powered research assistant, NotebookLM, on Android and iOS a day earlier than expected and just ahead of its annual I/O developer conference.

Until now, the service was only available on desktop, but users can now access its full features while on the move.

NotebookLM helps users understand complex content by offering intelligent summaries and allowing them to ask questions directly about their documents.

A standout feature, Audio Overviews, creates AI-generated podcast-style summaries from uploaded materials and supports offline listening and background playback.

Mobile users can now create and manage notebooks directly from their devices. Instead of limiting content sources, the app enables users to add websites, PDFs, or YouTube videos by simply tapping the share icon and selecting NotebookLM.

It also offers easy access to previously added sources and adapts its appearance to match the device’s light or dark mode settings.

With the release timed just before Google’s keynote, it’s likely the company will highlight NotebookLM’s capabilities further during the I/O 2025 presentation.

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Taiwan boosts AI power with Nvidia supercomputer

Nvidia and Foxconn have announced plans to build a major AI factory supercomputer in Taiwan, backed by the Taiwanese government.

The facility, powered by 10,000 of Nvidia’s Blackwell GPUs, will be delivered through Foxconn’s Big Innovation Company and will support researchers, start-ups, and industry.

Taiwan’s National Science and Technology Council will use the platform to provide real-time AI cloud computing resources across its tech ecosystem. TSMC researchers also plan to utilise the infrastructure to drive innovation in semiconductor development.

The announcement highlights Nvidia’s growing ties with Taiwanese companies and reflects the strategic importance of AI to Taiwan’s technological ambitions. Leaders from Nvidia, Foxconn, and TSMC described the project as a step towards creating a smarter, AI-enabled island economy.

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Lords reject UK AI copyright bill again

The UK government has suffered a second defeat in the House of Lords over its Data (Use and Access) Bill, as peers once again backed a copyright-focused amendment aimed at protecting artists from AI content scraping.

Baroness Kidron, a filmmaker and digital rights advocate, led the charge, accusing ministers of listening to the ‘sweet whisperings of Silicon Valley’ and allowing tech firms to ‘redefine theft’ by exploiting copyrighted material without permission.

Her amendment would force AI companies to disclose their training data sources and obtain consent from rights holders.

The government had previously rejected this amendment, arguing it would lead to ‘piecemeal’ legislation and pre-empt ongoing consultations.

But Kidron’s position was strongly supported across party lines, with peers calling the current AI practices ‘burglary’ and warning of catastrophic damage to the UK’s creative sector.

High-profile artists like Sir Elton John, Paul McCartney, Annie Lennox, and Kate Bush have condemned the government’s stance, with Sir Elton branding ministers ‘losers’ and accusing them of enabling theft.

Peers from Labour, the Lib Dems, the Conservatives, and the crossbenches united to defend UK copyright law, calling the government’s actions a betrayal of the country’s leadership in intellectual property rights.

Labour’s Lord Brennan warned against a ‘double standard’ for AI firms, while Lord Berkeley insisted immediate action was needed to prevent long-term harm.

Technology Minister Baroness Jones countered that no country has resolved the AI-copyright dilemma and warned that the amendment would only create more regulatory confusion.

Nonetheless, peers voted overwhelmingly in favour of Kidron’s proposal—287 to 118—sending the bill back to the Commons with a strengthened demand for transparency and copyright safeguards.

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AI at 45W: Neuchips showcases energy-saving chips for LLMs

As global energy demand surges alongside AI growth, Neuchips is stepping up with energy-efficient solutions that deliver high performance while reducing power consumption.

The company will showcase its latest innovations at COMPUTEX 2025, including its Viper series AI accelerator cards, capable of running a 14-billion parameter model at just 45 watts — roughly the same power as a standard light bulb.

The announcement follows an International Energy Agency (IEA) report projecting that electricity demand from AI-powered data centers will more than quadruple by 2030. Neuchips CEO Ken Lau emphasised that power-efficient AI is now a necessity, not a luxury.

Neuchips’ hardware supports models like Mistral Small 3, Llama 3.3, and Gemma 3, offering offline LLM inference that enhances data privacy. Its solutions are compatible with both Intel and AMD CPUs, and run on Ubuntu and Windows.

The company is expanding its reach through several key partnerships. With Taiwan’s National Center for High-performance Computing (NCHC), Neuchips is delivering energy-efficient AI to the cloud while ensuring data security and cost efficiency.

Collaborating with MAPLE LEAF INFORMATION AND TECHNOLOGY and Vecow, the company offers compact AI systems that operate without requiring additional power infrastructure.

In partnership with GSH’s ShareGuru SQLPilot, Neuchips is showcasing advanced agentic AI applications for business intelligence and customer service. Additionally, through integration with myLLM’s myPDA platform, Neuchips is enabling hybrid cloud-edge AI deployments using its hardware.

With its efficient AI acceleration chips and strategic collaborations, Neuchips is advancing sustainable AI across edge and data center environments.

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UAE’s EDGE Group unveils AI Accelerator to power defence and tech

EDGE Group, a global leader in advanced technology and defence, has launched the Group AI Accelerator, a new Centre of Excellence (COE) focused on accelerating AI-driven innovation across its portfolio and facilities.

The initiative is part of EDGE’s broader strategy to support the UAE’s ambitions of becoming a high-tech global hub.

The Group AI Accelerator will develop and integrate AI projects to enhance core engineering capabilities and business services. It will also incubate UAE talent and advance the country’s knowledge-based economy.

Dr. Chaouki Kasmi, EDGE’s President of Technology & Innovation, said the initiative will ‘enable the prompt adoption of AI technologies’ and foster ‘positive disruption’ across key programmes.

Overseen by EDGE’s Technology & Innovation Cluster, the COE will be guided by a steering committee of local and global experts. Engineering and business excellence working groups will lead AI skunkworks projects, R&D in machine learning, and digital transformation efforts.

EDGE’s latest move builds on its commitment to operational excellence and positions the UAE at the forefront of AI and Industry 4.0 development.

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Integrity concerns prompt MIT to reject AI innovation study

MIT has called for the withdrawal of a high-profile research paper examining the effects of AI on scientific discovery and innovation, citing concerns over data integrity and validity.

The paper, titled Artificial Intelligence, Scientific Discovery, and Product Innovation, was authored by a now-former doctoral student and claimed AI tools boosted discoveries and patents but reduced researcher satisfaction.

Though praised by renowned economists Daron Acemoglu and David Autor upon its release, both now say they have ‘no confidence’ in the data or findings. Their reversal follows concerns raised by an external computer scientist, prompting an internal MIT review.

While MIT has not disclosed full details due to student privacy laws, it confirmed the author is no longer affiliated with the university. The school is requesting the paper’s withdrawal from The Quarterly Journal of Economics and preprint server arXiv, although the author has yet to initiate removal.

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OpenAI, G42 plan world’s largest AI data facility

OpenAI is reportedly set to become the anchor tenant in a 5-gigawatt data centre project in Abu Dhabi, part of what could become one of the largest AI infrastructure builds globally, according to Bloomberg.

The facility, spanning approximately 10 square miles, is being developed by UAE-based tech firm G42 as part of OpenAI’s broader Stargate initiative, a joint venture announced with SoftBank and Oracle to establish high-capacity AI data centres worldwide.

While OpenAI’s first Stargate facility in Texas is projected to reach 1.2 gigawatts, the Abu Dhabi project would more than quadruple that. The planned scale would consume power equivalent to five nuclear reactors.

OpenAI and G42 have collaborated since 2023 to accelerate AI adoption in the Middle East. The partnership has sparked concerns among US officials, particularly around G42’s past ties to Chinese firms, including Huawei and BGI.

G42 has since pledged to divest from China and shift its focus. In early 2024, Microsoft invested $1.5 billion in G42, and company president Brad Smith joined its board, reinforcing US–UAE tech ties. An official statement from OpenAI on the project is still pending.

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Uber is ready for driverless taxis in the UK

Uber says it is fully prepared to launch driverless taxis in the UK, but the government has pushed back its timeline for approving fully autonomous vehicles.

The previous 2026 target has been shifted to the second half of 2027, despite rapid developments in self-driving technology already being trialled on British roads.

Currently, limited self-driving systems are legal so long as a human remains behind the wheel and responsible for the car.

Uber, which already runs robotaxis in the US and parts of Asia, is working with 18 tech firms—including UK-based Wayve—to expand the service. Wayve’s AI-driven vehicles were recently tested in central London, managing traffic, pedestrians and roadworks with no driver intervention.

Uber’s Andrew Macdonald said the technology is ready now, but regulatory support is still catching up. The government insists legislation will come in 2027 and is exploring short-term trials in the meantime.

Macdonald acknowledged safety concerns, noting incidents abroad, but argued autonomous vehicles could eventually prove safer than human drivers, based on early US data.

Beyond technology, the shift raises big questions around insurance, liability and jobs. The government sees a £42 billion industry with tens of thousands of new roles, but unions warn of social impacts for professional drivers.

Still, Uber sees a future where fewer people even bother to learn how to drive, because AI will do it for them.

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Why ITU’s legacy still shapes our digital world

On 17 May 1865, 20 European countries came together to create the International Telecommunication Union (ITU), a response to the tedious and inefficient telegraph system that required messages to be rewritten at every border. This practical move—born not from idealism but necessity—paved the way for a global communications framework that continues to underpin today’s digital world.

From the first bilateral agreements to modern platforms like Instagram and AI tools like ChatGPT, the same core principle remains: international cooperation is essential to seamless communication. Despite revolutionary advances in technology, diplomacy has changed slowly.

Yet ITU’s mission—to balance national interests with shared global connectivity—has remained constant. For instance, debates over digital privacy and cybersecurity today echo those from the 19th century over telegraph regulation.

Even as US policies toward multilateralism shift, its consistent support for the ITU showcases how diplomacy can maintain continuity across centuries of change. As Jovan Kurbalija notes in his recent blog post, understanding this long arc of diplomatic history is essential for making sense of today’s tech governance debates.

Crises often trigger breakthroughs in multilateral governance. The Titanic disaster, for example, catalysed swift international regulation of radio communication after years of stagnation. In our interconnected AI-driven era, similar ‘Titanic moments’ could once again force urgent global agreements.

That is especially pressing as technology continues to reshape power structures, favouring innovators and standard-setters, and reviving the age-old race between digital ‘haves’ and ‘have-nots.’

Why does it matter?

ITU’s 160-year legacy is a testament to the endurance of diplomacy amid technological disruption. While tools evolve—from telegraphs to AI—the diplomatic mission to resolve conflicts and foster cooperation remains unchanged. The story of ITU, as Kurbalija reflects, is not just about commemorating the past, but recognising the urgent need for global cooperation in shaping our digital future.

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