Irish startup launches first silicon quantum computer

An Irish startup, Equal1, has unveiled the world’s first silicon-based quantum computer designed to integrate smoothly into existing data centres instead of requiring entirely new infrastructure.

Named Bell-1, the compact six-qubit device is built to slot directly into standard server racks, weighing just over 200 kilograms and roughly matching the size of a conventional GPU server.

Its standout feature is a self-contained cooling unit that maintains a temperature of 0.3 kelvin without external cryogenics, making it far more practical to deploy than traditional quantum machines.

Bell-1 relies on silicon-based spin qubits instead of more common trapped-ion or superconducting qubits, allowing it to take advantage of existing semiconductor fabrication methods. This choice results in smaller, more scalable components and paves the way for greater qubit density.

The UnityQ chip at the system’s core combines quantum processor units (QPUs), Arm CPUs, and neural processing units (NPUs), eliminating the need for complex coordination between classical and quantum systems — it can be plugged into a power outlet and used like conventional hardware.

The platform includes built-in error correction and AI-powered controls developed in partnership with Arm, helping reduce errors and increase operational speed. Even though this first-generation chip supports just six qubits, Equal1 plans to scale up future versions.

Instead of replacing the entire system, early adopters will be able to upgrade existing installations, ensuring long-term relevance and smoother adoption of more advanced models.

Equal1’s breakthrough builds upon performance records it set in late 2024, where its silicon qubit arrays demonstrated the highest gate fidelity and speed ever recorded.

Bell-1 marks a significant leap forward by offering quantum capabilities without the barriers typically associated with quantum hardware, bringing the technology closer to practical use in traditional computing environments.

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Bhutan launches first national crypto tourism payment system

Bhutan has launched the world’s first national-level crypto tourism payment system, in partnership with Binance Pay and DK Bank. Tourists can now pay for nearly everything, from flights to food, using over 100 cryptocurrencies like BTC, BNB, and USDC.

Payments are made via QR codes through the Binance app, with DK Bank converting crypto into Bhutan’s local currency instantly.

The new system offers benefits beyond convenience. Small businesses, especially in remote areas, can now accept crypto payments with just a smartphone. Local vendors, who previously lacked card payment infrastructure, now have new opportunities thanks to the system.

By eliminating cross-border payment issues, zero gas fees, and not relying on international card networks, the system makes transactions seamless. It sets a global precedent, potentially encouraging other countries to adopt similar models for tourism.

The Binance Pay Bhutan partnership is already making waves in the tourism sector, showing how crypto can connect cultures and improve travel experiences. Binance’s growing use case in tourism continues to build confidence in its token.

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OpenAI reduces Microsoft share in future revenues

OpenAI plans to reduce the share of revenue it gives Microsoft as part of its long-term partnership, according to a report by The Information.

The AI firm has told investors it expects to share just 10 per cent of its revenue with Microsoft and other commercial partners by 2030, instead of the 20 per cent originally agreed under its current deal.

The change comes as OpenAI scales back a broader restructuring effort. The company’s nonprofit parent will now retain control, a move likely to limit CEO Sam Altman’s influence. Despite ongoing collaboration, this shift signals a recalibration of financial and governance dynamics between the two companies.

Microsoft, which recently altered parts of its agreement with OpenAI while pursuing major AI data centre projects, has not commented on the latest report. OpenAI, meanwhile, said it remains committed to working closely with Microsoft and expects to finalise the details of its recapitalisation soon.

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Microsoft adds AI assistant to Windows 11 settings

Microsoft is bringing more AI to Windows 11 with a new AI assistant built into the Settings app. This smart agent can adjust system settings like mouse precision, help users navigate the interface, and even troubleshoot problems—all by request.

With the user’s permission, it can also make changes automatically instead of relying on manual adjustments.

The AI assistant will first roll out to testers in the Windows Insider programme on Snapdragon-powered Copilot+ PCs, followed by support for x86-based systems.

Although Microsoft has not confirmed a release date for the general public, this feature marks a major step in making Windows settings more intuitive and responsive.

Several other AI-powered updates are on the way, including smarter tools in File Explorer and the Snipping Tool, plus dynamic lighting in the Photos app.

Copilot will also gain a new ‘Vision’ feature, letting it see shared windows for better in-app assistance instead of being limited to text prompts alone.

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Amazon’s new robots could replace warehouse workers

Amazon’s latest innovation, the Vulcan robot, is set to revolutionise the company’s warehouse operations. These cutting-edge robots are designed with an advanced ‘sense of touch,’ enabling them to perform tasks such as picking and packing, which were previously exclusive to human workers.

It could significantly reduce the number of jobs required in Amazon’s fulfilment centres worldwide, potentially displacing lower-skilled workers, particularly those in temporary or younger roles.

Vulcan’s technology allows it to navigate complex tasks, including placing items into precise spots and handling a vast array of products with care, a challenge that was previously difficult for robots.

Amazon argues that the robots will improve workplace safety by reducing the physical strain on employees and minimising injuries, while also boosting operational efficiency.

However, the shift towards automation raises concerns about the future of employment within Amazon’s warehouses.

Though Amazon emphasises that robots like Vulcan will complement human workers, the growing use of automation, including drone deliveries and AI-powered machines, could diminish the need for human labour in certain roles.

A move like this, combined with the company’s broader tech investments, prompts significant questions about the future of work and the potential societal impacts of widespread automation.

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AMD faces a $1.5 billion loss from US chip curbs

AMD expects to lose around US$1.5 billion in revenue this year because of new US export restrictions on advanced AI chips, which now require a licence to be sold to China.

The US government, under both the Biden and Trump administrations, has tightened curbs on chip exports in an effort to slow China’s progress in developing powerful AI systems, citing national security risks.

China makes up roughly a quarter of AMD’s total revenue, so these measures could reduce AMD’s expected annual earnings by almost 5 per cent.

Despite this setback, AMD posted stronger-than-expected second-quarter revenue guidance, forecasting around US$7.4 billion, likely driven by customers rushing to stockpile chips before the new rules fully take effect.

CEO Lisa Su said the impact from the curbs would be mostly felt during the second and third quarters, yet she still expects revenue from the company’s AI data centre chips to grow by strong double digits in 2024.

AMD’s finance chief Jean Hu clarified the projected US$1.5 billion revenue loss is tied directly to the latest export controls introduced in April.

Although AMD is under pressure, demand for its high-performance chips remains solid, with tech giants like Microsoft and Meta continuing to invest heavily in AI infrastructure.

The company’s data centre division saw sales jump 57 per cent to US$3.7 billion, helping push total revenue up 36 per cent to US$7.44 billion—both figures exceeding analyst expectations. Adjusted earnings stood at 96 cents per share, slightly above estimates.

Rival chipmaker Nvidia has also warned it now requires a licence to export to China and faces an even larger US$5.5 billion hit.

Meanwhile, other tech firms didn’t fare as well—Marvell Technology and Super Micro disappointed investors, with shares falling after they issued weaker outlooks, adding further signs of turbulence in the chip sector.

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Pinterest adds new AI tools to visual search

Pinterest is rolling out new AI-powered upgrades to its visual search feature, aiming to make it easier for users to find exactly what they want.

The enhanced tool will allow people to refine fashion searches by adjusting details like colour, fabric or style, including aesthetics such as ‘Y2K.’

Users can also long-press any Pin in the Home Feed to launch a visual search instantly. A new feature will generate descriptive words to help users better understand what draws them to particular Pins, starting with women’s fashion in the US, UK, and Canada.

Powered by advanced visual language models, the tool works much like Google’s multimodal search but automatically suggests words to refine queries. Pinterest believes these updates will improve the platform’s usefulness for searching when words fall short.

In response to concerns about AI-generated content overwhelming the platform, Pinterest will now label such images and allow users to limit how many they see. With these changes, the company hopes to strengthen its reputation as a helpful, AI-enhanced visual shopping destination.

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Google faces DOJ’s request to sell key ad platforms

The US Department of Justice (DOJ) has moved to break up Google’s advertising technology business after a federal judge ruled that the company holds illegal monopolies across two markets.

The DOJ is seeking the sale of Google’s AdX digital advertising marketplace and its DFP platform, which helps publishers manage their ad inventory.

It follows a ruling in April by Federal Judge Leonie Brinkema, who found that Google’s dominance in the online advertising market violated antitrust laws.

AdX and DFP were key acquisitions for Google, particularly the purchase of DoubleClick in 2008 for $3.1 billion. The DOJ argues that Google used monopolistic tactics, such as acquisitions and customer lock-ins, to control the ad tech market and stifle competition.

In response, Google has disputed the DOJ’s move, claiming the proposed sale of its advertising tools exceeds the court’s findings and could harm publishers and advertisers.

The DOJ’s latest filing also comes amid a separate legal action over Google’s Chrome browser, and the company is facing additional scrutiny in the UK for its dominance in the online search market.

The UK’s Competition and Markets Authority (CMA) has found that Google engaged in anti-competitive practices in open-display advertising technology.

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Nvidia opens new quantum research centre in Boston

Nvidia has unveiled plans to open the Nvidia Accelerated Quantum Research Center (NVAQC) in Boston, a facility set to bridge quantum computing and AI supercomputing.

Expected to begin operations later this year, the centre aims to accelerate the shift from experimental to practical quantum computing.

Rather than treating quantum hardware as a standalone endeavour, Nvidia intends to integrate it with existing AI-driven systems, believing this combination could unlock solutions to problems unsolvable by today’s machines.

Quantum computing—much like AI in its early stages—fits naturally with Nvidia’s core strength: parallel processing. Instead of continuing to rely on traditional serial computing, the company has long embraced parallelism through its GPU technology and CUDA software platform.

Nvidia’s success in transforming GPUs from graphics engines into tools for scientific and commercial applications began with its bold decision to make CUDA available across all its products, even at the cost of short-term profit margins.

Nvidia now sees quantum error correction as the next major challenge. Current quantum computers, operating with between fifty and one hundred qubits, face a high error rate due to environmental ‘noise.’

Achieving truly useful systems will require a million qubits or more, most of which will be used for error correction. Instead of depending solely on traditional methods, Nvidia plans to use AI to develop scalable solutions capable of correcting errors in real time.

The Boston-based NVAQC will serve as a testing ground for these innovations. Harvard, MIT, and quantum startups like Quantinuum and QuEra will collaborate with Nvidia’s quantum team to train AI models for error correction and test them using Nvidia’s top-tier supercomputers.

By doing so, Nvidia hopes to make quantum computing not just viable, but powerful and practical at scale.

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IBM boosts US manufacturing with $150 billion pledge

IBM has announced a major $150 billion investment in the US over the next five years, with a significant portion earmarked for expanding production of quantum computers and mainframes.

The move follows similar commitments from tech giants like Nvidia and Apple, as industry leaders respond to the Trump administration’s push for increased domestic manufacturing.

Of the total sum, more than $30 billion will be dedicated to scaling up IBM’s US-based manufacturing of quantum systems and mainframes, vital for processing vast data and critical tasks.

IBM, which operates one of the world’s largest quantum computing fleets, stated the investment reflects both technological ambition and a strategic gesture towards current US trade policies.

While the quantum computing field has seen exciting advancements, including new chip generations from rivals like Google, opinions remain divided on when practical applications will emerge.

IBM’s latest investment signals long-term confidence in the technology, even as the company navigates recent challenges, including the cancellation of 15 government contracts during federal cost-cutting efforts.

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