Capacity development

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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New AI app offers early support for parents of neurodivergent children

A new app called Hazel, developed by Bristol-based company Spicy Minds, offers parents a powerful tool to understand better and support their neurodivergent children while waiting for formal diagnoses. Using AI, the app runs a series of tests and then provides personalised strategies tailored to everyday challenges like school routines or holidays.

While it doesn’t replace a medical diagnosis, Hazel aims to fill a critical gap for families stuck in long waiting queues. Spicy Minds CEO Ben Cosh emphasised the need for quicker support, noting that many families wait years before receiving an autism diagnosis through the UK’s NHS.

‘Parents shouldn’t have to wait years to understand their child’s needs and get practical support,’ he said.

In Bristol alone, around 7,000 children are currently on waiting lists for an autism assessment, a number that continues to rise. Parents like Nicola Bennett, who waited five years for her son’s diagnosis, believe the app could be life-changing.

She praised Hazel for offering real-time guidance for managing sensory needs and daily planning—tools she wished she’d had much earlier. She also suggested integrating links to local support groups and services to make the app even more impactful.

By helping reduce stress and giving families a head start on understanding neurodiversity, Hazel represents a meaningful step toward more accessible, tech-driven support for parents navigating a complex and often delayed healthcare system.

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Apple partners with Anthropic on AI coding tool

Apple is reportedly collaborating with Anthropic, a startup backed by Amazon, to develop a new AI-powered coding platform called ‘vibe coding’, according to Bloomberg.

The platform will use Anthropic’s Claude Sonnet model to write, edit, and test code on behalf of programmers, updating Apple’s existing Xcode software instead of launching an entirely separate tool.

‘Vibe coding’ refers to a growing trend in AI development where intelligent agents generate code autonomously instead of relying on manual programming. Apple is said to be testing the system internally for now, with no confirmed decision on whether it will become publicly available.

The move comes as tech firms race to lead in generative AI. While Apple previously introduced a similar tool, Swift Assist, it was never released to developers amid concerns from engineers about possible slowdowns in app creation.

Apple and Anthropic have not commented publicly on the reported collaboration.

With rivals like OpenAI pushing ahead—reportedly negotiating a $3 billion acquisition of coding assistant Windsurf—Apple is equipping its devices with more advanced chips and AI features, including ChatGPT integration, to compete in the rapidly evolving landscape instead of falling behind.

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Nvidia moves to comply with US export rules

Nvidia is planning to redesign its AI chips to comply with tightened US export restrictions, aiming to retain its foothold in China instead of pulling back.

According to a report by The Information, the chipmaker has already informed major Chinese clients, such as Alibaba, ByteDance, and Tencent, about its revised strategy. The discussions reportedly occurred during CEO Jensen Huang’s visit to Beijing in mid-April.

The visit came just after Washington expanded its curbs on high-performance AI chip exports to China, specifically targeting Nvidia’s H20 chip.

Originally developed to meet earlier US rules, the H20 has now also been deemed too powerful for export under the new regulations. The US government says the move is aimed at preventing China’s military from accessing cutting-edge AI.

Nvidia previously warned that the latest restrictions could cost it up to $5.5 billion in lost revenue. Instead of backing away, the company is now preparing redesigned chips to stay within legal bounds while continuing to serve Chinese tech firms.

Customers have been told that prototype chips could be ready by June.

In addition, Nvidia is developing a tailored version of its next-generation AI chip, Blackwell, specifically for China. These efforts underline Nvidia’s attempt to balance regulatory compliance with its commercial interests in one of the world’s largest AI markets.

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RackBank launches $118 million AI data centre park in India

RackBank has opened a new AI data centre park in Nava Raipur, Chhattisgarh, with an initial investment of ₹10 billion (around $118 million).

Instead of relying on conventional data infrastructure, the facility focuses on GPU-based computing, AI processing and data analytics, and is expected to generate over 500 jobs, primarily in the IT sector.

Spread across 13.5 acres, the park includes a designated Special Economic Zone and begins operations with a 5 MW capacity. Rather than stopping there, RackBank plans to scale the facility to 150 MW, which could draw an additional ₹20 billion in investment.

The park has been designed to position India as a competitive force in AI infrastructure.

Instead of standard cooling methods, RackBank is deploying its proprietary direct-to-chip and Varuna liquid immersion systems, which aim to cut cooling costs by up to 70% and enhance energy efficiency.

The company envisions the centre as a hub for academic, industrial and governmental collaboration, helping businesses leverage India’s growing GPU capabilities.

Officials see the initiative as a major step toward digital self-reliance. Rather than concentrating such developments in traditional tech hubs, the project puts Chhattisgarh on the national map for data management and AI innovation.

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Google admits using opted-out content for AI training

Google has admitted in court that it can use website content to train AI features in its search products, even when publishers have opted out of such training.

Although Google offers a way for sites to block their data from being used by its AI lab, DeepMind, the company confirmed that its broader search division can still use that data for AI-powered tools like AI Overviews.

An initiative like this has raised concern among publishers who seek reduced traffic as Google’s AI summarises answers directly at the top of search results, diverting users from clicking through to original sources.

Eli Collins, a vice-president at Google DeepMind, acknowledged during a Washington antitrust trial that Google’s search team could train AI using data from websites that had explicitly opted out.

The only way for publishers to fully prevent their content from being used in this way is by opting out of being indexed by Google Search altogether—something that would effectively make them invisible on the web.

Google’s approach relies on the robots.txt file, a standard that tells search bots whether they are allowed to crawl a site.

The trial is part of a broader effort by the US Department of Justice to address Google’s dominance in the search market, which a judge previously ruled had been unlawfully maintained.

The DOJ is now asking the court to impose major changes, including forcing Google to sell its Chrome browser and stop paying to be the default search engine on other devices. These changes would also apply to Google’s AI products, which the DOJ argues benefit from its monopoly.

Testimony also revealed internal discussions at Google about how using extensive search data, such as user session logs and search rankings, could significantly enhance its AI models.

Although no model was confirmed to have been built using that data, court documents showed that top executives like DeepMind CEO Demis Hassabis had expressed interest in doing so.

Google’s lawyers have argued that competitors in AI remain strong, with many relying on direct data partnerships instead of web scraping.

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MIT researchers boost quantum computing speed

Researchers at MIT have achieved a significant milestone in quantum computing by demonstrating what they say is the strongest nonlinear light-matter coupling ever recorded.

Using a novel superconducting circuit architecture, the team developed a ‘quarton coupler’ that could dramatically boost the speed of quantum operations, making it possible to run processors about ten times faster than previous systems.

The coupler enables far stronger interactions between photons and artificial atoms—key components of quantum systems—which in turn allows for much faster and more accurate measurements of quantum data.

These improvements are crucial for increasing the number of error-correction rounds that can be completed before qubits lose their coherence, a major limitation in current quantum technology.

Faster readout could therefore pave the way toward fault-tolerant quantum computing, where large-scale real-world applications become possible.

Although the technology is not yet ready for commercial deployment, the research team sees this experiment as an essential foundation.

The architecture could eventually be adapted into more complex quantum processors with built-in readout circuits, allowing scientists to perform quantum computations at greater speed and precision.

The work was supported by the Army Research Office, the AWS Center for Quantum Computing, and MIT’s Center for Quantum Engineering.

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Trump administration eyes overhaul of Biden-era AI chip export rules

The Trump administration is reviewing a Biden-era rule that restricts global access to US-made advanced AI chips, with discussions underway to eliminate the current tiered system that governs chip exports, according to sources familiar with the matter.

The existing rule, known as the Framework for Artificial Intelligence Diffusion, was introduced by the US Department of Commerce in January and is set to take effect on 15 May.

It divides the world into three groups: trusted allies (like the EU and Taiwan) with unlimited access, Tier 2 countries with chip quotas, and restricted countries such as China, Russia, Iran and North Korea.

Officials are considering replacing this structure with a global licensing regime based on government-to-government agreements—aligning with Donald Trump’s broader trade strategy of negotiating bilateral deals and using US-made chips as leverage.

Other possible changes include tightening export thresholds: under current rules, orders under the equivalent of 1,700 Nvidia H100 chips only require notification, not a licence. The new proposal could reduce that threshold to around 500 chips.

Supporters of the change argue it would increase US bargaining power and simplify enforcement. Critics, however, warn that scrapping the tier system may complicate compliance and drive countries toward Chinese chip alternatives.

Tech firms such as Oracle and Nvidia, along with several US lawmakers, have criticised the current framework, saying it risks harming American competitiveness and pushing international buyers toward cheaper, unregulated Chinese substitutes.

The Commerce Department declined to comment.

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Amazon launches first Kuiper satellites to challenge Starlink

Amazon has launched the first 27 satellites of its Project Kuiper broadband network into low-Earth orbit, marking a major step in its $10bn plan to deliver global internet coverage and rival Elon Musk’s Starlink.

The satellites were launched aboard a United Launch Alliance Atlas V rocket from Cape Canaveral, Florida, after weather delays earlier this month. They are the first of over 3,200 that Amazon intends to deploy, with the aim of reaching underserved and remote areas around the world.

Project Kuiper, announced in 2019, has been slow to get off the ground. Amazon must deploy at least half its satellite constellation—1,618 units—by mid-2026 to meet US regulatory requirements, though analysts expect the company to seek an extension.

The launch puts Amazon into direct competition with SpaceX, which has already deployed over 8,000 Starlink satellites and serves more than 5 million users across 125 countries.

While SpaceX dominates the sector, Amazon hopes its strengths in cloud computing and consumer devices will give Kuiper an edge.

Jeff Bezos said he expects both Kuiper and Starlink to succeed, citing strong global demand for satellite internet. Kuiper consumer terminals will sell for under $400 and come in various sizes, including one comparable to a Kindle.

Amazon has booked 83 future launches with partners including ULA, Arianespace, and Bezos’s Blue Origin, making it the biggest satellite launch programme in history.

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UK refuses to include Online Safety Act in US trade talks

The UK government has ruled out watering down the Online Safety Act as part of any trade negotiations with the US, despite pressure from American tech giants.

Speaking to MPs on the Science, Innovation and Technology Committee, Baroness Jones of Whitchurch, the parliamentary under-secretary for online safety, stated unequivocally that the legislation was ‘not up for negotiation’.

‘There have been clear instructions from the Prime Minister,’ she said. ‘The Online Safety Act is not part of the trade deal discussions. It’s a piece of legislation — it can’t just be negotiated away.’

Reports had suggested that President Donald Trump’s administration might seek to make loosening the UK’s online safety rules a condition of a post-Brexit trade agreement, following lobbying from large US-based technology firms.

However, Baroness Jones said the legislation was well into its implementation phase and that ministers were ‘happy to reassure everybody’ that the government is sticking to it.

The Online Safety Act will require tech platforms that host user-generated content, such as social media firms, to take active steps to protect users — especially children — from harmful and illegal content.

Non-compliant companies may face fines of up to £18 million or 10% of global turnover, whichever is greater. In extreme cases, platforms could be blocked from operating in the UK.

Mark Bunting, a representative of Ofcom, which is overseeing enforcement of the new rules, said the regulator would have taken action had the legislation been in force during last summer’s riots in Southport, which were exacerbated by online misinformation.

His comments contrasted with tech firms including Meta, TikTok and X, which claimed in earlier hearings that little would have changed under the new rules.

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