News

• QPUs may run AI inference faster and cheaper than conventional hardware ever could
• Hybrid nodes combining CPUs, Nvidia GPUs, and diamond QPUs could change how we build quantum software
• From defense to finance, Quantum Brilliance is betting on diamond chips to drive adoption

Diamonds have emerged as a critical material in the development of quantum technologies due to their unique atomic properties, and Quantum Brilliance, a company based in Germany and Australia, has outlined an ambitious plan to develop portable quantum computers using diamond-based quantum processing units (QPUs).

These devices are being designed to operate at room temperature and may eventually be integrated alongside GPUs and high-end CPUs in servers or vehicles.

But while the company’s vision promises a future where quantum computing is as seamless as plugging in a GPU for AI inference, several technical and commercial hurdles remain.

Over the past decade, researchers have increasingly focused on engineering high-purity synthetic diamonds to minimize interference from impurities.

Notably, a 2022 collaboration between a Japanese jewelry firm and academic researchers led to a new method for producing ultra-pure 2-inch diamond wafers.

In 2023, Amazon joined the effort through its Center for Quantum Networking, partnering with De Beers’ Element Six to grow lab-made diamonds for use in quantum communication systems.

Now, Quantum Brilliance aims to utilize nitrogen vacancies in diamond to create qubits, offering a more compact and power-efficient alternative to cryogenic quantum systems.

“We do have a roadmap to fault tolerance, but we are not worrying about that at the moment,” said Andrew Dunn, COO of Quantum Brilliance.

“People think of millions of qubits, but that will be very expensive and power hungry. I think getting an understanding of having 100 qubits in a car cheaply and simply - the use cases are very different."

This signals a departure from the prevailing trend in quantum computing, which focuses on building systems with millions of qubits.

The company is instead targeting inexpensive and practical use cases, particularly in applications such as AI inference and sparse data processing.

Quantum Brilliance is already collaborating with research institutions like the Fraunhofer Institute for Applied Solid State Physics (IAF).

IAF is currently evaluating the company’s second-generation Quantum Development Kit, QB-QDK2.0, which integrates classical processors like Nvidia GPUs and CPUs with the QPU in a single box.

In parallel, Oak Ridge National Laboratory in the US has acquired three systems to study scalability and parallel processing for applications like molecular modeling.

“The reason they are buying three systems is that they want to investigate parallelisation of systems,” Dunn added.

Quantum Brilliance is also working closely with imec to integrate diamond processes into standard chip manufacturing.

Beyond computation, the company sees potential in quantum sensing, and the technology may also be repurposed for defense and industrial sensors.

Ultimately, the company wants quantum computing to become as ordinary as any other chip in a server.

“Personally, I want to make quantum really boring and invisible, just another chip doing its job,” said Dunn.

Via eeNewsEurope

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If you’ve been experiencing issues with a single part or various parts of Google’s massive operation, or with playing your favorite songs or podcasts on Spotify, you’re not alone.

Since over an hour ago, at 2 PM ET in New York City, reported issues on outage tracker Down Detector have been spiking for Google, Google Cloud, and Spotify, to the extent that Google has confirmed issues impacting its various services as of 3:01 PM ET.

Spotify normally comments on issues via the @SpotifyStatus account on X (formerly Twitter), but as of now, it’s remaining silent. Now, the TechRadar team uses various parts of Google – mainly G-Suite with Docs – and hasn’t encountered issues yet, but my Spotify has been experiencing some issues with extended load times.

Considering that two major services are reporting issues, this could signal larger issues with a cloud data provider like Cloudflare. Either route, we’re starting our live reporting to keep you up to date on the latest developments with the outages affecting Google and Spotify.

A Quick Look at Down Detector’s homepage as of 3:25 PM ET shows that an extensive range of services are experiencing issues, with some leveling off or dropping, with Google, Google Cloud, and Spotify at the forefront, alongside Discord.

Google and Google Cloud both began spiking in the 2 PM ET hour, reaching over 10,000 reports, while Spotify also started in that hour but is currently at over 44,000 reports.

Google's status page currently lists an active 'Service Disruption' as of 3:01PM ET that is impacting a number of services – it's a good note, though, as teams at the company are investigating.

"We're investigating reports of an issue with Gmail, Google Calendar, Google Chat, Google Cloud Search, Google Docs, Google Drive, Google Meet, Google Tasks, and Google Voice. We will provide more information shortly.

Multiple Workspace products beginning on Thursday, at 2025-06-12 10:58 PDT may be experiencing service issues.

Our engineers are currently investigating the issue.

We apologize to all who are affected by the disruption."

It's impacting several services from the entire G-Suite, including Gmail. Still, Google doesn't clarify if a specific user set is experiencing the issue. As of now, I can access my personal and work Google accounts without problem. However, individuals in the comments on Down Detector are reporting issues with Messages, Google Cloud, and Google Voice.

Spotify has still not issued a statement, although reported issues on Down Detector continue to grow, now standing at over 45,000 reports as of 3:22 PM ET. We have also reached out to the streaming giant to request a comment.

It does seem that a majority of these issues started shortly after the 2 PM ET hour and are now stretching to over an hour of disruptions.

At the same time that these issues with Google and Spotify began emerging, Cloudflare is dealing with its own problems, according to the company's status page.

The latest update, as of 3:12 PM ET, from Cloudfalre notes that its services are starting to recover, but issues are still present.

"We are starting to see services recover. We still expect to see intermittent errors across the impacted services as systems handle retried and caches are filled."

Considering that Discord and Snapchat are also experiencing a spike in reports, these issues may well be related to the problems affecting Cloudflare.

Google is making some progress, at least according to the latest update on its Workspace status page, posted at 3:30 PM ET.

It reads: "All product impacts except Google Meet have recovered.

Google engineers continue to work on full mitigation."

This is good news for folks in the Google ecosystem, as it appears everything but Google Meet is back up. And even reports for Google's calling platform are starting to drop on Down Detector, now sitting at 1,854 reports as of 3:31 PM ET.

Alongside issues impacting Google, Google Cloud, and Spotify, reported issues with Snapchat and Discord are both elevated on Down Detector.

Reported issues with Discord are currently sitting at 6,683 as of 3:35PM ET, but did spike to over 10,000 at 2:20PM ET – the same hour where Google and Spotify saw major increases.

Snapchat is currently on the rise, with over 6,693 reported issues with the platform. For what it's worth, I can open the app on my iPhone, but I'm unable to load stories or the main page.

The Google Workspace status page now effectively says we're all clear. In a post that went live 3:53PM ET, Google says all the issues are resolved.

"The problem with Gmail, Google Calendar, Google Chat, Google Cloud Search, Google Docs, Google Drive, Google Meet, Google Tasks, and Google Voice has been resolved. We apologize for the inconvenience and thank you for your patience and continued support."

Reports on Down Detector have slowed for both and have been on the decline, so it appears that most services are coming back or already back. Again, this does line up with Cloudflare's reported issues, and those are starting to recover.

Cloudflare has posted a new update as of 3:57 PM ET on its own status page, detailing a bit more about what is going on and the potential impact here. You can see the statement in full below, but Cloudflare’s critical Workers KV service went offline due to a separate outage hitting a key third-party service.

A Worker KV is essentially a flow or automation that moves requests throughout Cloudflare's vast network, mainly starting or ending in storage libraries.

Furthermore, Cloudflare acknowledges that it's aware of the significant impact this is causing and is working to resolve the issue as soon as possible with all hands on deck.

Cloudflare’s critical Workers KV service went offline due to an outage of a 3rd party service that is a key dependency. As a result, certain Cloudflare products that rely on KV service to store and disseminate information are unavailable including:

Access

WARP

Browser Isolation

Browser Rendering

Durable Objects (SQLite backed Durable Objects only)

Workers KV

Realtime

Workers AI

Stream

Parts of the Cloudflare dashboard

Turnstile

AI Gateway

AutoRAG

Cloudflare engineers are working to restore services immediately. We are aware of the deep impact this outage has caused and are working with all hands on deck to restore all services as quickly as possible.

While Google says the issues affecting Workspace have been resolved, but the Google Cloud dashboard continues to display issues.

There are still "Multiple GCP products are experiencing Service issues," in fact, it's over 39 products including API Gateway, Agent Assist, and AlloyDB for PostgreSQ across the globe. This is the latest update from Google Cloud as of 3:56PM ET, you can see the status page here.

Google, Google Cloud, Spotify, Snapchat, and Discord, among other services that saw an increase in reported issues on Down Detector, are all starting to show a decline, and that's a good thing.

It's been roughly two and a half hours since we started seeing a spike in the 2PM hour for services like Google and Spotify, with the latter seeing over 44,000 reported issues. While Spotify has yet to provide any comment, Google Workspace and Google Cloud have been updating status dashboards. The former states that things are back to normal, while the latter continues to show some impacted services.

Down Detector is looking a lot better now, though reported outages do remain for all these platforms.

Cloudflare is still working to bring all of its impacted services back online, with the last update on its dashboard at 3:57 PM ET. That concluded with, "We are aware of the deep impact this outage has caused and are working with all hands on deck to restore all services as quickly as possible."

In line with impacted services reported outages dropping on Down Detector, Cloudflare says its services are 'recovering quickly' across the globe in an update on its status page as of 4:32PM ET. It's expecting a 'steady drop' in services impacted and 'further recovery' in the next few minutes.

That's good news and likely means that Google, Spotify, and other services will be back online for you soon, if not already.

"Cloudflare services are recovering quickly around the globe. WARP and Turnstile are operational, though a small residual impact remains and we’re working to eliminate it. The core KV service is restored, bringing dependent products back online. We expect further recovery over the next few minutes and a steady drop in impact."

Now, Cloudflare says it's back to fully operational in an update that was posted just before the top of the hour at 4:57PM ET.

It reads in full: "All Cloudflare services have been restored and are now fully operational. We are moving the incident to Monitoring while we watch platform metrics to confirm sustained stability."

It's an excellent update for those who have felt the impact of this outage, and hopefully, any issues you've experienced have been resolved. While many services were impacted today, alongside this Cloudflare outage, Down Detector is looking a lot better with declines.

Google Workspace's status page indicates that the incident is resolved, while Google Cloud's status page still displays an active incident worldwide.

Furthermore, although Spotify didn't confirm an issue, the brand's care account is responding to a few users, recommending a restart of the app if they're unable to use the service.

Cloudflare was already clear in its last status post that key "3rd party service" was the cause for the issues, and now a spokesperson has confirmed that to TechRadar.

The statement reads, "This is a Google Cloud outage. A limited number of services at Cloudflare use Google Cloud and were impacted. We expect them to come back shortly. The core Cloudflare services were not impacted."

Essentially, saying that Cloudflare's own operations and services didn't have an issue. Noting that it was a Google Cloud outage and that some of Cloudflare uses that system, so they were impacted. Additionally, Google Cloud's status page still shows an active incident.

While Down Detector reports have dropped considerably for Spotify, the streaming service has made its first comment on the issue on its community blog under a section titled "Ongoing Issues."

It was posted about 40 minutes ago, and reads: "Hey folks! We've been getting reports about issues with login, playback and the Support site. This is now being looked into."

It's unclear whether there are more issues with Spotify, as Down Detector currently reports 1,648 issues as of 5:36PM ET.

• The Browser Company has launched an AI-powered browser named Dia
• Dia integrates a personalized AI assistant directly into the address bar
• The AI lets you chat with tabs and will adapt to your style over time

The Browser Company has a new way to travel the web using AI. Best known for its Arc browser, the company has introduced a new browser called Dia, which was first teased at the end of last year. This release follows an announcement last month that active development on Arc was winding down and the company would place its full weight behind Dia.

Unlike traditional browsers that send users searching across tabs or toggling between tools to get things done, Dia places an AI assistant directly into the browser’s address bar.

The idea is that instead of opening ChatGPT in another tab or copying content into a separate tool to summarize or rewrite, you just type your question where you’d usually enter a URL. From there, the assistant can search the web, answer questions about the page you’re on, compare tabs, or even draft content in the tone of a specific site.

Dia is built on Chromium and resembles a standard browser at first glance, but the key differences are found in the way AI suffuses its structure. The AI is omnipresent and customizable, plus there is no need to log in to a separate service. You stay on the page, talk to the browser, and it responds.

In many ways, Dia's AI behaves similarly to most other AI chatbots. You can ask it to summarize an article you're reading, help write an email based on your calendar and browser activity, or generate code with your preferred programming language. You can also personalize how the assistant writes for you in terms of style.

One of the more distinctive features is the browser’s ability to take on the “voice” of a given webpage. If you’re reading a corporate blog or product page and want to generate a document in a similar tone, Dia can adapt its output to match the site’s style.

The features are designed to blend seamlessly with the browser and your other online activities. The AI not only sees your current tabs but also remembers previous interactions, allowing it to use context in its responses. The more you interact with it, the more personalized the AI is supposed to become.

Eventually, it will remember your writing preferences and know which tasks you ask for often and surface those options. Dia is currently in an invite-only beta for Mac, though you can sign up for a waiting list to gain access.

Dia is arriving as browsers race to incorporate AI, and many AI developers are working on browsers. Google Chrome is testing Gemini-powered overlays and sidebars, Opera has its Neon browser promising a full AI agent experience, and Perplexity has its new Comet browser with AI features.

For the many people understandably concerned about privacy when the AI is this clever, The Browser Company claims that Dia handles user context locally where possible and does not send browsing data to third-party providers unless required by the task.

Notably, Dia is centering AI as the main way to engage with the browser. The experience is meant to be rooted in user prompts and direct interaction, not automation. It's also worth noting that Dia means The Browser Company no longer sees Arc as worth spending resources on, despite praise for its design and rethinking of tab management. Dia is less about reinventing browser layouts and more about AI as core functions.

With AI rapidly becoming embedded in everything you touch online, Dia represents a very direct approach to making generative AI central to going online rather than treating AI as a bolt-on feature. The Browser Company is betting that it can be the primary interface for how users browse the web.

• Perplexity AI's Comet browser will streak across the web this month
• Feel like your browser tabs are out of control? Opera's new AI tab-management tool will bring order to the chaos
• Opera Mini stuffs a whole AI assistant into a tiny Android browser

Will your AI confidently deliver the right answers or stumble through outdated knowledge while your customers grow increasingly frustrated?

Artificial intelligence (AI) may be changing how businesses interact with customers but there's a critical element that often gets overlooked: the knowledge that powers it. The quality of AI responses directly depends on the information it can access – a relationship that becomes increasingly important as more organizations deploy AI for customer service.

AI is really good at accessing unstructured and structured data and collating it into a well-packaged natural language response. Unlike when you do a Google search, and it comes back with multiple responses (where the level of those answers is largely driven by advertising or other sponsorship) AI looks at the body of knowledge that supports the question being asked.

So, when talking about knowledge-driven AI for customer experience, it's the idea that AI isn't accessing the full scope but rather a well-structured knowledge base. This means companies must carefully choose what information AI can leverage, especially when dealing with decades worth of data.

For example, a customer asking how to make a payment might receive outdated instructions about writing a cheque if the knowledge base contains too much legacy content. By providing a well-structured database which is rich enough to give as many answers as possible but also limiting AI to that particular knowledge base, you can really focus on giving AI the right information to deliver the answers you want customers to receive.

When building AI knowledge bases, starting small and narrow before expanding works better than beginning with everything and trying to narrow down. Companies often make the mistake of giving AI access to their entire information universe.

This approach typically creates more problems than it solves. Contact centers especially struggle with AI accuracy when the knowledge base contains outdated information or when AI draws from too many different sources at once. This limitation becomes obvious when you consider AI-generated images. When AI attempts to create images of people, it often produces noticeable errors – too many fingers, oddly positioned hands, or unnatural facial features. AI conversations follow the same pattern.

They appear fine at first glance, but closer inspection reveals gaps in understanding, inappropriate tone, and mechanical empathy. The information provided might be technically correct but lacks the nuance and specificity that customers need. Just as with images, these conversation models improve over time, but the fundamental challenge remains – AI needs well-structured information to avoid these pitfalls.

Ultimately, AI delivers its most reliable performance when confined to specific knowledge and topics. Unlike human agents, AI performs best when it follows a script. This creates an interesting contrast with what we've learned in the BPO industry. Our experience shows that human agents excel when given freedom to go off-script and apply their natural problem-solving abilities.

The best human interactions happen when agents bring their full selves to the conversation. AI, however, functions more like a trainee who needs clear boundaries. You want to keep AI narrowly focused on approved scripts and content until it develops more sophistication. Human agents can provide answers beyond their formal training.

They navigate complex systems, find creative solutions and interpret customer needs in ways that aren't documented. These skills develop through experience and remain challenging for AI to replicate. Today's AI systems can't navigate through interfaces like humans can. They can't click through multiple screens, follow complex processes or interact with CRM systems the way human agents do. AI only knows what exists in its knowledge base.

This limitation highlights why incorporating the lived experience of human agents into AI knowledge bases delivers such dramatic improvements. AI also differs from humans in its approach to uncertainty. It never lacks confidence, even when wrong. AI will state incorrect information with complete certainty if its algorithms determine that's the optimal response.

Human agents learn differently. When customers express frustration or correct a mistake, human agents experience that uncomfortable "oh my gosh" moment that embeds the learning in their conversational memory. Even with limited information, humans adapt quickly. Most AI systems lack this emotional feedback loop, which raises an important question: how do we configure AI to incorporate negative feedback into its knowledge in a meaningful way?

Creating effective AI knowledge bases requires ongoing attention across several dimensions. The foundation must be structured, current content that accurately reflects your products and services. This isn't a one-time effort but a continuous commitment to maintenance and accuracy. Equally important is establishing appropriate boundaries – giving AI enough knowledge to be helpful while limiting its ability to access irrelevant or outdated information. Improvement must be continuous rather than occasional.

By monitoring where AI struggles and systematically addressing those gaps, organizations keep their systems relevant and effective. Integrating successful human agent interactions represents another critical factor. When you capture what works in human conversations and incorporate those patterns into your AI knowledge base, performance improves significantly. Finally, robust feedback mechanisms allow AI to learn from customer responses without being susceptible to manipulation, creating a system that improves over time.

AI technology will continue evolving, but its effectiveness will always depend on the quality of its knowledge foundation. Organisations that invest in properly structured, well-maintained knowledge systems will see better results from their AI implementations. The future isn't just about deploying more sophisticated AI technologies but building better knowledge ecosystems these technologies can leverage. Your AI is only as good as the knowledge base it's built upon, and getting that foundation right is essential for delivering the customer experience you actually want.

I tried 70+ best AI tools.

This article was produced as part of TechRadarPro's Expert Insights channel where we feature the best and brightest minds in the technology industry today. The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc. If you are interested in contributing find out more here: https://www.techradar.com/news/submit-your-story-to-techradar-pro

The IT infrastructure that underpins today’s businesses is unrecognizable from even a few months ago. Every organization, planned or unplanned, has migrated to the cloud with AI intertwined given each enhances the other's capabilities.

Cloud and AI are undeniable game changers for businesses; however both introduce complex cyber risks when combined. Cloud security measures must evolve to meet the new challenges of AI and find the delicate balance between protecting against complex attacks on AI data and enabling organizations to achieve responsible AI innovation.

Cloud computing provides the infrastructure and resources needed to power AI algorithms, while AI makes cloud services more intelligent, efficient, and user centric. Underpinning this is the development team, running at full speed, creating and deploying new applications that reshape operations, enhance scalability, flexibility, and scrape cost savings where it can. But for those working to secure these shifting environments, it’s like trying to catch smoke. What is secure today may move, morph or even disappear entirely.

According to the Cloud AI Risk Report, cloud-based AI is prone to avoidable toxic combinations that leave sensitive AI data and models vulnerable to manipulation, data tampering and data leakage. As an illustration, this could leave AI training data susceptible to data poisoning, threatening to skew model results. Researchers calculated that almost 70% of cloud AI workloads contain at least one unpremeditated vulnerability.

Rather concerning was the discovery that three out of four organizations using one specific cloud provider for AI services were found to have overprivileged default configurations. Dubbed ‘The Jenga-style’ concept, the research found a tendency for cloud providers to build one service on top of the other, with “behind the scenes” building blocks inheriting risky defaults from one layer to the next, with any single misconfigured service putting all the services built on top of it at risk. The result is users left largely unaware of the existence of these behind-the-scenes building blocks as well as any propagated risk.

When we talk about AI usage in the cloud, more than sensitive data is on the line. If a threat actor manipulates the data or AI model, there can be catastrophic long-term consequences, such as compromised data integrity, compromised security of critical systems and degradation of customer trust. In addition, training and testing data is an attractive target for misuse and exploitation, as they may contain real information such as intellectual property, personal information (PI), personally identifiable information (PII) or customer data related to the nature of the AI project.

Threat actors are not just targeting AI but also harnessing it. Reports confirm that they have a number of powerful AI tools at their disposal, including AI-driven virtual assistants that can streamline and amplify their attacks. So far this year, there have been reports of threat actors harnessing AI to write malware for ransomware attacks. In fact, FunkSec, according to CheckPoint, is one such group that is believed to use AI-assisted malware development. The danger is that this could see inexperienced actors able to spin up and refine tools quickly to launch their own criminal escapades.

AI can be used to search for patterns, for the team to inspect what is happening within the organization's infrastructure and explain results in the simplest language possible. This can help the security team know what is important, the attack paths that could be travelled should a threat actor gain access, and where to best prioritize efforts to shut off these paths to reduce cyber risk. Solutions such as data security posture management (DSPM) and AI security posture management (AI-SPM) are becoming integral to many organizations.

Gartner defines DSPM as “... visibility as to where sensitive data is, who has access to that data, how it has been used, and what the security posture of the data stored or application is.” Put simply, DSPM solutions discover, classify and remediate data risks in cloud environments.

AI-security posture management (AI-SPM) is a cloud native application protection platform (CNAPP) domain that gives security teams full visibility and security of AI workloads, services and data used in training and inference without deploying an agent. It identifies and prioritizes AI resources based on sensitivity, access and risk relationships, providing the context needed to isolate the most critical AI exposures.

Though standalone DSPM and AI-SPM services act as powerful spotlights to illuminate data and AI resources, if they’re not combined with broader cloud security measures, they can't prevent unauthorized access or breaches that exploit vulnerabilities in the cloud infrastructure.

While the combination of AI and cloud offers immeasurable benefits, it introduces risks that could jeopardize sensitive data and data integrity, ultimately diminishing customer trust and business bottom lines. Organizations need DSPM and AI-SPM to pinpoint their valuable data and AI resources and cloud security solutions to build a secure vault around them.

We list the best antivirus software.

This article was produced as part of TechRadarPro's Expert Insights channel where we feature the best and brightest minds in the technology industry today. The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc. If you are interested in contributing find out more here: https://www.techradar.com/news/submit-your-story-to-techradar-pro

• US government website has been hijacked with AI generated spam
• NPR, Stanford, and other sites were also taken over
• The spam seems to be explicit but non-malicious

Several web domains have been hijacked to show explicit and AI-generated content in a spam campaign that targeted US Government sites and other domains.

A domain belonging to the US Department of Health and Human Services (HHS) advising on vaccines was defaced to show thousands of AI-generated articles, primarily containing incorrect or incomplete information about popular search topics like video game round-ups or restaurant recommendations.

Websites linked to radio station NPR and Stanford University were also hit, as was a page advertising events linked to (but not owned by) chip giant Nvidia.

It’s not clear who hijacked the site or the purpose behind it, since the AI slop doesn’t seem to have a consistent theme or angle, and links in the pages directing to a “nonsense SEO spam page” stocks.wowlazy[.]com.

Much of the content appears to have been apparently explicit, but much was also “entirely mundane” - the spam campaign was discovered thanks to a technologist who was searching for ‘best Portland cat cafes’ on DuckDuckGo and was directed to the site and a spam page about cat cafes.

This isn’t the first time that cybercriminals have hijacked websites in order to post their own content, but usually this contains some type of malware of infostealer to gain profit from the spam campaigns - but as far as we can see, that wasn’t the case on this occasion.

SEO seems to be a tool that cybercriminals are taking advantage of in order to deliver malware (or not) to a wider audience. To mitigate the risk from this type of attack, users should disable push notifications from sites they don’t know/trust, and be very cautious with unfamiliar links.

TechRadar Pro did reach out to the CDC, NPR, and Stanford for comment but haven’t yet received a response. Nvidia told us the affected webpage was not affiliate to the company.

Via 404media

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• The Samsung Galaxy Z Fold 7 and Z Flip 7 could both have a new version of Samsung's ProVisual Engine
• This could allow for higher-quality photos, better digital zoom, and better video stability
• The foldables have also both been certified in South Korea, suggesting they're launching soon

The Samsung Galaxy Z Fold 7 and Samsung Galaxy Z Flip 7 could arrive with a major under-the-hood upgrade that delivers improved photos and videos, based on a new leak.

We've previously heard that the Samsung Galaxy Z Fold 7 could have a new 200MP camera, but that the Samsung Galaxy Z Flip 7 might not be in for any such upgrades, with the same camera hardware as last year tipped.

However, the Z Flip 7 could still be capable of taking better photos than the Samsung Galaxy Z Flip 6, as both upcoming foldables might have an improved version of Samsung's ProVisual Engine AI image-processing tech.

This is according to leaker @PandaFlashPro, who claims that a new version of ProVisual Engine is coming to both the Galaxy Z Flip 7 and the Galaxy Z Fold 7.

This upgrade will apparently allow for better photo quality, better digital zoom quality, and better video stability. So in other words, both photos and videos could look better on these phones than on their predecessors.

"Confirmed"The Galaxy Z Fold 7 | Flip 7 will use Samsung’s New Generation #GalaxyAI Pro-Visual Engine, which will later be Expanded to the Galaxy S25 Series.Main improvements.Better Image OutputBetter Digital Zoom QualityVideo StabilityJune 12, 2025

ProVisual Engine debuted in the Samsung Galaxy S24 series, and it’s a suite of AI tools that works in the background to improve photo and video quality – as well as powering things like Generative Edit, which lets you alter photos you’ve taken.

So it’s not a new thing, but if this leak is right then the Samsung Galaxy Z Fold 7 and Samsung Galaxy Z Flip 7 will get a new and improved version of the tech. However, the source adds that this upgraded version will subsequently land on the Samsung Galaxy S25 series as a software update, so you might not have to buy one of the company’s upcoming foldables to get it.

In other Samsung foldable news, the Galaxy Z Flip 7 and Galaxy Z Fold 7 have both been certified by SafetyKorea (as spotted by XpertPick).

These certifications don’t tell us much, but it’s mandatory for phones to receive this certification before being sold in South Korea, so this both confirms that the phones are in the works, and suggests they’ll land soon, since this certification would usually happen quite close to launch.

That makes sense, since based on past form we’d expect both handsets to launch in July, with one leak pointing to a July 10 announcement.

• The Samsung Galaxy Z Fold 7 will be the thinnest and lightest model yet
• The Samsung Galaxy Z Fold 7 could have a huge screen with tiny bezels
• The Samsung Galaxy Z Flip 7 and Galaxy Z Fold 7 will launch with Android 16