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Oxa gains more mileage from Nvidia for autonomous vehicles | Computer Weekly

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Oxa gains more mileage from Nvidia for autonomous vehicles | Computer Weekly


Having started 2025 with a series of moves to boost its presence in the US, strengthen its position in industrial logistics, and extend its use and expertise in artificial intelligence (AI), UK-based autonomous vehicle (AV) technology company Oxa has extended its business relationship with AI leader Nvidia, with expanded use of the Nvidia Cosmos World Foundation Models and next-generation Nvidia Drive AGX Thor developer kits to accelerate the evolution of its self-driving software.

Explaining the rationale for its move, Oxa said the extension was part of its plan to build the future of Industrial Mobility Automation (IMA), where self-driving technology tackles the most pressing challenges facing logistics and manufacturing. Oxa believes IMA represents a $2tn market opportunity as businesses increasingly turn to automation to perform repetitive daily mobility tasks, such as passenger transportation, asset monitoring and factory parts line logistics, supporting productivity, reduced costs and innovation.

Oxa believes its work on industrial autonomy aligns with the priorities of the UK’s Advanced Manufacturing Sector Plan by advancing connected and autonomous mobility, driving research and development and strengthening the country’s position as a global hub for advanced technology.

In March 2025, Oxa announced a collaboration with Nvidia to use the latter’s Cosmos World Foundation Models – which generate photoreal virtual world states as videos from multimodal inputs such as text and images – including Cosmos Predicts Models, to enhance its own training tools, such as Oxa Sensor Expansion, which sit in its development toolchain, and Oxa Foundry.

By integrating Nvidia Cosmos World Foundation Models into its Oxa Foundry development framework, Oxa says it can use Cosmos to more quickly generate and test driving scenarios – cutting both time and cost compared with real-world testing alone.

To train and validate its software for demanding industrial environments, Oxa is also using Nvidia Cosmos World Foundation Models and the Nvidia Drive AGX Orin developer kits, which are specifically designed with the automotive input/output required for development workloads.

It is also already working to integrate the next-generation Drive AGX Thor developer kits, preparing for the future of physical AI that Oxa sees as supporting the next wave of advanced automotive workloads.

In addition, the move sees Oxa look further to the US for essential technology to fulfil its ambitions. In 2024, Oxa became the first UK AV company to export its self-driving software to the US, and its software is now present in a number of commercial deployments in both Florida and California. These initiatives are part of what Oxa calls a tangible “transatlantic loop”, where UK innovation is validated and commercialised in the US.

By deploying Nvidia’s AI software, Oxa says it is not only driving its own research and development, but is also providing a real-world blueprint, critical for attracting investment and talent to the UK, highlighting business-led innovation that creates high-value jobs and advances technology on both sides of the Atlantic.

“Our collaboration with Nvidia is a prime example of how companies from both countries can work together effectively on advanced technology development while supporting economic growth in both nations,” said Oxa CEO Gavin Jackson.

“By harnessing Nvidia’s latest technology, we are accelerating our ability to deliver safe, reliable and efficient autonomous solutions to customers today, addressing critical challenges such as driver shortages and productivity gaps,” he said.



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The AI Data Center Boom Is Warping the US Economy

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The AI Data Center Boom Is Warping the US Economy


The amount of capital pouring into AI data center projects is staggering. Last week, Microsoft, Alphabet, Meta, and Amazon reported their 2025 capital expenditures would total roughly $370 billion, and they expect that number to keep rising in 2026. The biggest spender last quarter was Microsoft, which put nearly $35 billion into data centers and other investments, equivalent to 45 percent of its revenue.

Rarely, if ever, has a single technology absorbed this much money this quickly. Warnings of an AI bubble are getting louder every day, but whether or not a crash eventually happens, the frenzy is already reshaping the US economy. Harvard economist Jason Furman estimates that investment in data centers and software processing technology accounted for nearly all of US GDP growth in the first half of 2025.

Today, we’re looking at how data centers are impacting three crucial areas: public markets, jobs, and energy.

Cashing Out

The US stock market is booming, mostly thanks to AI. Since ChatGPT launched in November 2022, AI-related stocks have accounted for 75 percent of S&P 500 returns and 80 percent of earnings growth, according to JPMorgan’s Michael Cembalest. The question now is whether that growth will be sustainable as tech firms continue spending heavily on AI infrastructure.

At the start of this year, tech giants were financing their AI projects mostly with cash they had on hand. As financial journalist Derek Thompson pointed out, the ten largest US public companies kicked off 2025 with historically high free cash flow margins. In other words, their businesses were so profitable that they had billions of dollars sitting around to put towards Nvidia GPUs and data center buildouts.

That trend has largely continued through 2025. Alphabet, for example, told investors last week that its capital expenditures this year would be as much as $93 billion, an increase from its previous estimate of $75 billion. But it also reported that revenue was up 33 percent year over year. Put another way, Silicon Valley is both spending more and earning more. That means everything is fine, right?

Not exactly. For one thing, tech giants appear to be using accounting tricks to make their financials look rosier than they may really be in reality. A significant portion of AI investment flows to Nvidia, which releases new versions of its GPUs approximately every two years. But companies like Microsoft and Alphabet are currently estimating that their chips will last six years. If they need to upgrade sooner to stay competitive—a likely possibility—that could wind up eating into their profits and weaken their overall performance.



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The Pixel 10 Family Is Marked Down on Amazon

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The Pixel 10 Family Is Marked Down on Amazon


If you’re a part of the Pixel crew like I am, you know that discounts on the latest generation are few and far between. That’s why I’m pleased to share that the entire family of Pixel 10 phones, from the regular Pixel 10 all the way up to the recently-released Pixel 10 Pro Fold, are all marked down by various amounts on Amazon.

  • Photograph: Julian Chokkattu

  • Photograph: Julian Chokkattu

  • Photograph: Julian Chokkattu

Pixel 10, Pixel 10 Pro, and Pixel 10 Pro XL

Starting with the base model Pixel 10, you’ll save $200 on both the 128 GB and 256 GB models in all four colors, bringing the prices down to $599 and $699, respectively. The base version of the Pixel 10 makes a few compromises to bring the price down, like foregoing the Pro model’s vapor chamber for cooling, and opting for a smaller camera sensor. It’s still an excellent choice for casual Android enjoyers, particularly at the price, but power users and mobile gamers may want to think about upgrading to the Pro.

Like the regular 10, the Pixel 10 Pro is marked down by $250 across all sizes, but color availability does change a bit, particularly on the 1 TB model. The biggest difference between the two models are the higher-resolution screen, more memory, and the bigger and better camera sensors. You can also get the higher storage models, while the regular Pixel 10 only goes up to 256 GB. The Pixel 10 Pro XL, which has the same specs as the 10 Pro but with a larger screen, is marked down by $300, again with some varying availability between color and storage size.

  • Photograph: Julian Chokkattu

  • Photograph: Julian Chokkattu

  • Photograph: Julian Chokkattu

  • Photograph: Julian Chokkattu

Finally, we have the Pixel 10 Pro Fold, which just recently became available for purchase, and is already marked down by a not-insignificant $300 for both the 256 GB and 512 GB models, and I even spotted both colors in stock at both sizes. It has not one, but two excellent displays, and feels premium and sturdy, even if it is missing some of the features found on the 10 Pro.

With discounts on a variety of Pixel 10 series phones, you might need a little more help deciding which one is for you. We have a handy guide that compares all the currently available Pixel phones, including the Pixel 9a, which is currently discounted as well. We also have an in-depth review comparing the Pixel 10, Pixel 10 Pro, and Pixel 10 Pro XL specifically, which is worth a read for the extra details.



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Why people don’t demand data privacy, even as governments and corporations collect more personal information

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Why people don’t demand data privacy, even as governments and corporations collect more personal information


Credit: Unsplash/CC0 Public Domain

When the Trump administration gave Immigration and Customs Enforcement access to a massive database of information about Medicaid recipients in June 2025, privacy and medical justice advocates sounded the alarm. They warned that the move could trigger all kinds of public health and human rights harms.

But most people likely shrugged and moved on with their day. Why is that? It’s not that people don’t care. According to a 2023 Pew Research Center survey, 81% of American adults said they were concerned about how companies use their data, and 71% said they were concerned about how the government uses their data.

At the same time, though, 61% expressed skepticism that anything they do makes much difference. This is because people have come to expect that their data will be captured, shared and misused by state and corporate entities alike. For example, many people are now accustomed to instinctively hitting “accept” on terms of service agreements, and cookie banners regardless of what the policies actually say.

At the same time, have become a regular occurrence, and private digital conversations exposing everything from infidelity to military attacks have become the stuff of public scrutiny. The cumulative effect is that people are loath to change their behaviors to better protect their data − not because they don’t care, but because they’ve been conditioned to think that they can’t make a difference.

As scholars of data, technology and culture, we find that when people are made to feel as if data collection and abuse are inevitable, they are more likely to accept it—even if it jeopardizes their safety or basic rights.

Where regulation falls short

Policy reforms could help to change this perception, but they haven’t yet. In contrast to a growing number of countries that have comprehensive data protection or privacy laws, the United States offers only a patchwork of policies covering the issue.

At the federal level, the most comprehensive data privacy laws are nearly 40 years old. The Privacy Act of 1974, passed in the wake of federal wiretapping in the Watergate and the Counterintelligence Program scandals, limited how federal agencies collected and shared data. At the time government surveillance was unexpected and unpopular.

But it also left open a number of exceptions—including for law enforcement—and did not affect private companies. These gaps mean that data collected by private companies can end up in the hands of the government, and there is no good regulation protecting people from this loophole.

The Electronic Communications Privacy Act of 1986 extended protections against telephone wire tapping to include , which included services such as email. But the law did not account for the possibility that most would one day be stored on cloud servers.

Since 2018, 19 U.S. states have passed data that limit companies’ data collection activities and enshrine new privacy rights for individuals. However, many of these laws also include exceptions for access.

These laws predominantly take a consent-based approach—think of the pesky banner beckoning you to “accept all cookies”—that encourages you to give up your personal information even when it’s not necessary. These laws put the onus on individuals to protect their privacy, rather than simply barring companies from collecting certain kinds of information from their customers.

The privacy paradox

For years, studies have shown that people claim to care about privacy but do not take steps to actively protect it. Researchers call this the privacy paradox. It shows up when people use products that track them in invasive ways, or when they consent to data collection, even when they could opt out. The privacy paradox often elicits appeals to transparency: If only people knew that they had a choice, or how the data would be used, or how the technology works, they would opt out.

But this logic downplays the fact that options for limiting data collection are often intentionally designed to be convoluted, confusing and inconvenient, and they can leave users feeling discouraged about making these choices, as communication scholars Nora Draper and Joseph Turow have shown. This suggests that the discrepancy between users’ opinions on data privacy and their actions is hardly a contradiction at all. When people are conditioned to feel helpless, nudging them into different decisions isn’t likely to be as effective as tackling what makes them feel helpless in the first place.

Resisting data disaffection

The experience of feeling helpless in the face of data collection is a condition we call data disaffection. Disaffection is not the same as apathy. It is not a lack of feeling but rather an unfeeling—an intentional numbness. People manifest this numbness to sustain themselves in the face of seemingly inevitable datafication, the process of turning human behavior into data by monitoring and measuring it.

It is similar to how people choose to avoid the news, disengage from politics or ignore the effects of climate change. They turn away because data collection makes them feel overwhelmed and anxious—not because they don’t care.

Taking data disaffection into consideration, digital privacy is a cultural issue—not an individual responsibility—and one that cannot be addressed with personal choice and consent. To be clear, comprehensive data privacy law and changing behavior are both important. But storytelling can also play a powerful role in shaping how people think and feel about the world around them.

We believe that a change in popular narratives about privacy could go a long way toward changing people’s behavior around their data. Talk of “the end of privacy” helps create the world the phrase describes. Philosopher of language J.L. Austin called those sorts of expressions performative utterances. This kind of language confirms that data collection, surveillance and abuse are inevitable so that people feel like they have no choice

Cultural institutions have a role to play here, too. Narratives reinforcing the idea of as being inevitable come not only from tech companies’ PR machines but also mass media and entertainment, including journalists. The regular cadence of stories about the federal government accessing personal data, with no mention of recourse or justice, contributes to the sense of helplessness.

Alternatively, it’s possible to tell stories that highlight the alarming growth of digital surveillance and frame data governance practices as controversial and political rather than innocuous and technocratic. The way stories are told affects people’s capacity to act on the information that the stories convey. It shapes people’s expectations and demands of the world around them.

The ICE-Medicaid data-sharing agreement is hardly the last threat to data privacy. But the way people talk and feel about it can make it easier—or more difficult—to ignore data abuses the next time around.

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The Conversation


This article is republished from The Conversation under a Creative Commons license. Read the original article.The Conversation

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