A summarize feature powered by Gemini, Google’s recently debuted generative AI model and digital assistance tool, is coming to the Gmail app for Android – and it could make reading and understanding emails much faster and easier. The feature is expected to roll out soon to all users, and they’ll be able to provide feedback by rating the quality of the generated email summaries.
The feature has been suspected to be in the works for some time now, as documented by Android Authority, and now it’s apparently close to launch.
One of Android Authority’s code sleuth sources managed to get the feature working on the Gmail app version 2024.04.21.626860299 after a fair amount of tinkering. It’s not disclosed what steps they took, so if you want to replicate this, you’ll have to do some experimenting, but the fact that the summarize feature can be up and running shows that Android Gmail users may not have to wait very long.
There is a screenshot featured in Android Authority’s report showing a chat window where the user asks Gemini to summarize an email that they currently have open, and Gemini obliging. Apparently, this feature will be available via a ‘Summarize this email’ button under an email’s subject line, I assume triggering the above prompt, and this should return a compact summary of the email. This could prove to be especially helpful when dealing with a large number of emails, or for particularly long emails with many details.
Once the summary is provided, users will be shown thumbs up and thumbs down buttons under Gemini’s output, similar to OpenAI’s ChatGPT after it gives its reply to a user’s query. This will give Google a better understanding of how helpful the feature is to users and how it could be improved. There will also be a button that allows you to copy the email summary to your clipboard, according to the screenshot.
(Image credit: Shutterstock/fizkes)
When to expect the new feature
The speculation is that the feature could be rolled out during Google’s I/O 2024 event, its annual developer conference, which is scheduled for May 14, 2024. Google is also expected to show off the next iteration of its Pixel A series, the Pixel 8A, it could show its development of augmented reality (AR) technology, and new software and service developments, especially for its devices and ChromeOS (the operating system that powers the best Chromebooks).
Many Gmail users could potentially find this new summarize feature to be time-saving and that it streamlines their emails, but as with any generative AI, there are concerns about the accuracy of the generated text. If Gemini omits or misinterprets important information, it could lead to oversights or misunderstandings. I’m glad that Google has the feedback system in place, as this will show if the feature is actually serving its purpose well. We’ll have to wait and see, and the proof will be in the pudding whether it results in improved productivity and is reasonably accurate when it’s finally released.
Windows 10’s monthly updates will get a lot smaller, and therefore quicker to download and install, thanks to a feature that first debuted in Windows 11. Users with eligible devices can expect a decrease in update since the April 9, 2024 update which was 830 MB to around 630 MB with the latest update, released on April 23, 2024.
The change was announced by Microsoft in a Windows blog post, writing that Windows 10 users will be getting a significant efficiency boost. Monthly Windows updates are typical for Windows 10 and Windows 11, and having to download bulky updates can be annoying and time consuming, especially for people with slower (or metered) internet connections.
You can read more about what the shrunk-down update, KB5036979, will bring on Microsoft’s Support blog. Some of the developments that this update brings include account-related notifications (such as account activities, data backups, subscription management, and security settings) across the Start menu and Settings, an updated Widgets lock screen, a fix for a Bluetooth-related issue affecting certain wireless earbuds, an improved and more reliable Windows Search, as well as other quality-of-life updates.
(Image credit: Shutterstock/Gorodenkoff)
Improved Windows 10 updates ahead
Microsoft explains that until now, Windows 11 cumulative updates were more efficiently packaged than those for Windows 10. This has now changed, with a reduction in the size of the monthly latest cumulative update (LCU) package.
If your device is running Windows 10, make sure you have done the following to make sure you’re ready for these new updates:
Check if you’ve updated your system since the Windows 10 July 23, 2023 update (KB5028244).
Once the above step is finished, download and install a quality update from April 2023 or later.
It’s good to see that Windows 10 users are still getting quality updates and that Microsoft is making adjustments to make them easier to install, especially as we approach Windows 10’s End-of-Life date on October 14, 2025. While I’m sure Windows 10 users appreciate that they’re still getting improved functionality, it remains sensible to prepare to update to Windows 11 (or whatever the next iteration of Windows is called which we expect to learn about soon).
Google IO 2024 is approaching fast, with the big G's festival for Android 15, Wear OS 5, Android TV and more kicking off on May 14. And we now have an official schedule to give us some hints of the software (and maybe hardware) announcements in the pipeline.
The Google IO 2024 schedule (spotted by @MishaalRahman on X, formerly Twitter) naturally doesn't reveal any specifics, but it does confirm where we'll see some big new software upgrades.
The keynote, which will be well worth tuning into, will kick off at 10am PT / 5pm GMT on May 14 (which works out as 3am AEST in Australia). But the details of the follow-up sessions give us a taster of what will be shown off, including our first proper look at Wear OS 5.
That's confirmed in the 'Building for the future of Wear OS' session, which will help developers “discover the new features of Wear OS 5”. Considering the smartwatch platform appeared to be flirting with the Google Graveyard not long ago, that's good news. We'll presumably hear more about a release date at the event, and maybe even a Pixel Watch 3.
What else does the schedule reveal? Android 15 was always a shoo-in for this year's show, so it's no surprise that the OS will be covered alongside “generative AI, form factors” and more at Google IO 2024.
Thirdly, AI will naturally be a huge general theme, with Google Gemini a consistent thread across the event. Developers will discover “new ways to build immersive 3D maps” and how to make “next-gen AI apps with Gemini models”. Gemini will also power new apps for Google Chat and create new content from images and video, thanks to Google's multi-modal Gemini Pro Vision model.
Fans of Android Auto will also be pleased to hear that it'll likely get some upgrades, too, with one developer session titled “Android for Cars: new in-car experiences”. Likewise, Google TV and Android TV OS will get a mention, at the very least, with one session promising to show off “new user experience enhancements in Google TV and the latest additions to the next Android TV OS platform”.
Because Google IO 2024 is a developer conference, its sessions are all themed around software – but we'll almost certainly see lots of new hardware treats announced during the keynote, too.
This week, rumors about a refreshed Pixel Tablet (rather than a Pixel Tablet 2) suggested it could also make its bow at Google's conference. A Google Pixel Fold 2 is also on the cards, though we have also heard whispers of a Pixel 9 Pro Fold instead.
As always, we can expect some surprises too, like when Google teased its live-translation glasses at Google IO 2022, which then sadly disappeared in a cloud of vaporware. Let's hope its new ideas for this year's conference stick around a little longer.
Copyright is something of a minefield right now when it comes to AI, and there’s a new report claiming that Apple’s generative AI – specifically its ‘Ajax’ large language model (LLM) – may be one of the only ones to have been both legally and ethically trained. It’s claimed that Apple is trying to uphold privacy and legality standards by adopting innovative training methods.
Copyright law in the age of generative AI is difficult to navigate, and it’s becoming increasingly important as AI tools become more commonplace. One of the most glaring issues that comes up, again and again, is that many companies train their large language models (LLMs) using copyrighted works, typically not disclosing whether they license that training material. Sometimes, the outputs of these models include entire sections of copyright-protected works.
The current justification for why copyrighted material is so widely used as far as some of these companies to train their LLMs is that, not dissimilar to humans, these models need a substantial amount of information (called training data for LLMs) to learn and generate coherent and convincing responses – and as far as these companies are concerned, copyrighted materials are fair game.
Many critics of generative AI consider it copyright infringement if tech companies use works in training and output of LLMs without explicit agreements with copyright holders or their representatives. Still, this criticism hasn’t put tech companies off from doing exactly that, and it’s assumed to be the case for most AI tools, garnering a growing pool of resentment towards the companies in the generative AI space.
(Image credit: Shutterstock/photosince)
The forest of legal battles and ethical dilemmas in generative AI
There have even been a growing number of legal challenges mounted in these tech companies’ direction. OpenAI and Microsoft have actually been sued by the New York Times for copyright infringement back in December 2023, with the publisher accusing the two companies of training their LLMs on millions of New York Times articles. In September 2023, OpenAI and Microsoft were also sued by a number of prominent authors, including George R. R. Martin, Michael Connelly, and Jonathan Franzen. In July of 2023, over 15,000 authors signed an open letter directed at companies such as Microsoft, OpenAI, Meta, Alphabet, and others, calling on leaders of the tech industry to protect writers, calling on these companies to properly credit and compensate authors for their works when using them to train generative AI models.
In April of this year, The Register reported that Amazon was hit with a lawsuit by an ex-employee alleging she faced mistreatment, discrimination, and harassment, and in the process, she testified about her experience when it came to issues of copyright infringement. This employee alleges that she was told to deliberately ignore and violate copyright law to improve Amazon’s products to make them more competitive, and that her supervisor told her that “everyone else is doing it” when it came to copyright violations. Apple Insider echoes this claim, stating that this seems to be an accepted industry standard.
As we’ve seen with many other novel technologies, the legislation and ethical frameworks always arrive after an initial delay, but it looks like this is becoming a more problematic aspect of generative AI models that the companies responsible for them will have to respond to.
(Image credit: Apple)
The Apple approach to ethical AI training (that we know of so far)
It looks like at least one major tech player might be trying to take the more careful and considered route to avoid as many legal (and moral!) challenges as possible – and somewhat surprisingly, it’s Apple. According to Apple Insider, Apple has been pursuing diligently licensing major news publications’ works when looking for AI training material. Back in December, Apple petitioned to license the archives of several major publishers to use these as training material for its own LLM, known internally as Ajax.
It’s speculated that Ajax will be the software for basic on-device functionality for future Apple products, and it might instead license software like Google’s Gemini for more advanced features, such as those requiring an internet connection. Apple Insider writes that this allows Apple to avoid certain copyright infringement liabilities as Apple wouldn’t be responsible for copyright infringement by, say, Google Gemini.
A paper published in March detailed how Apple intends to train its in-house LLM: a carefully chosen selection of images, image-text, and text-based input. In its methods, Apple simultaneously prioritized better image captioning and multi-step reasoning, at the same time as paying attention to preserving privacy. The last of these factors is made all the more possible for the Ajax LLM by it being entirely on-device and therefore not requiring an internet connection. There is a trade-off, as this does mean that Ajax won’t be able to check for copyrighted content and plagiarism itself, as it won’t be able to connect to online databases that store copyrighted material.
There is one other caveat that Apple Insider reveals about this when speaking to sources who are familiar with Apple’s AI testing environments: there don’t currently seem to be many, if any, restrictions on users utilizing copyrighted material themselves as the input for on-device test environments. It's also worth noting that Apple isn't technically the only company taking a rights-first approach: art AI tool Adobe Firefly is also claimed to be completely copyright-compliant, so hopefully more AI startups will be wise enough to follow Apple and Adobe's lead.
I personally welcome this approach from Apple as I think human creativity is one of the most incredible capabilities we have, and I think it should be rewarded and celebrated – not fed to an AI. We’ll have to wait to know more about what Apple’s regulations regarding copyright and training its AI look like, but I agree with Apple Insider’s assessment that this definitely sounds like an improvement – especially since some AIs have been documented regurgitating copyrighted material word-for-word. We can look forward to learning more about Apple’s generative AI efforts very soon, which is expected to be a key driver for its developer-focused software conference, WWDC 2024.
Apple has released a set of several new AI models that are designed to run locally on-device rather than in the cloud, possibly paving the way for an AI-powered iOS 18 in the not-too-distant future.
The iPhone giant has been doubling down on AI in recent months, with a carefully split focus across cloud-based and on-device AI. We saw leaks earlier this week indicating that Apple plans to make its own AI server chips, so this reveal of new local large language models (LLMs) demonstrates that the company is committed to both breeds of AI software. I’ll dig into the implications of that further down, but for now, let’s explain exactly what these new models are.
The suite of AI tools contains eight distinct models, called OpenELMs (Open-source Efficient Language Models). As the name suggests, these models are fully open-source and available on the Hugging Face Hub, an online community for AI developers and enthusiasts. Apple also published a whitepaper outlining the new models. Four were pre-trained on CoreNet (previously CVNets), a massive library of data used for training AI language models, while the other four have been ‘instruction-tuned’ by Apple; a process by which an AI model’s learning parameters are carefully honed to respond to specific prompts.
Releasing open-source software is a somewhat unusual move for Apple, which typically retains quite a close grip on its software ecosystem. The company claims to want to “empower and enrich” public AI research by releasing the OpenELMs to the wider AI community.
By putting its new on-device AI models out to the world like this, Apple is likely hoping that some enterprising developers will help iron out the kinks and ultimately improve the software – something that could prove vital if it plans to implement new local AI tools in future versions of iOS and macOS.
It’s worth bearing in mind that the average Apple device is already packed with AI capabilities, with the Apple Neural Engine found on the company’s A- and M-series chips powering features such as Face ID and Animoji. The upcoming M4 chip for Mac systems also appears to sport new AI-related processing capabilities, something that's swiftly becoming a necessity as more-established professional software implements machine-learning tools (like Firefly in Adobe Photoshop).
In other words, we can probably expect AI to be the hot-button topic for iOS 18 and macOS 15. I just hope it’s used for clever and unique new features, rather than Microsoft’s constant Copilot nagging.
Meta is making its Horizon OS – the operating system its Quest headsets run on – available to third-party XR devices (XR is a catchall for virtual, augmented, and mixed reality), and it might be the biggest VR announcement anyone makes this decade.
The first batch will include headsets from Asus, Lenovo, and Xbox, and while we have an idea what these gadgets might offer, Meta CEO Mark Zuckerberg may have just provided us with a few more details, or outlined other non-Quest hardware we might see running Horizon OS in the future.
To get you up to speed, the three devices that were teased in the Horizon OS-sharing announcement are a “performance gaming headset” from Asus, “mixed reality devices for productivity” from Lenovo, and a more Quest-like headset from Xbox.
And in Meta’s Q1 2024 earnings call, Zuckerberg discussed the recent announcement by explaining the sorts of diverse XR hardware we might see by providing some pretty specific examples.
One was a “work-focused headset” that’s “lighter” and “less designed for motion;” you plug it into a laptop to use it, and this could be something we see from laptop-manufacturer Lenovo’s device. Another Zuckerberg description was for a “gaming-focused headset” that prioritizes “peripherals and haptics,” which could be the Asus headset.
Then there was a device that would be packaged with “Xbox controllers and a Game Pass subscription out of the box” – with Zuckerberg specifically connecting it to the announced Xbox device.
More Horizon OS headsets incoming?
A fitness-focused VR headset could be coming (Image credit: Meta)
He also detailed two devices which haven’t yet been teased: “An entertainment-focused headset” designed with the “highest-resolution displays” at the expense of its other specs, and “a fitness-focused headset” that’s “lighter with sweat-wicking materials.”
It’s possible that these suggestions were simply Zuckerberg riffing on potential Horizon OS devices rather than gadgets that are currently in the works. But we wouldn’t be surprised to hear that these gadgets are on their way given how plausible they sound – with it being that the partners aren’t yet ready to reveal they're working on something.
There’s also the question of other already-announced XR devices like the Samsung XR headset and if they’ll run on Horizon OS. Given Samsung has partnered with Google on its upcoming headset – which we assume is for software support – we posit that won't be the case. But we’ll have to wait and see what’s announced when the device is revealed (hopefully later this year).
All we can say is that Meta’s approach already looks to be paving the way for more diverse hardware than we’ve previously seen before in VR, finally giving us some fantastic options that aren’t just the Meta Quest 3 or whatever comes next to replace it.
Speaking of which, Zuckerberg added in the investor call that he thinks that Meta’s “first-party Quest devices will continue to be the most popular headsets as we see today” and that the company plans to keep making its state-of-the-art VR tech accessible to everyone. So if you do want to wait for the next Quest – perhaps the rumored Meta Quest 3 Lite or Meta Quest Pro 2 – then know that it’s likely still on the way.
New leaks coming from Chinese social media have claimed that Apple is planning to start development of its own dedicated AI chips in the near future – but it’s not the hotly-anticipated M4 chip that I’m talking about here.
Although Apple has been making waves in the AI space recently with its upgraded Neural Engine (a dedicated neural processing unit for handling AI-related tasks on Apple devices) as seen in its powerful new M3 chip, this leak makes specific reference to server AI processors – in other words, chips to power datacenters that run cloud-based AI tools. Popular online chatbot ChatGPT, for example, runs the bulk of its operations in the cloud rather than directly on your device, which is why it requires an internet connection to use.
Apple looks to be hedging its bets when it comes to AI – investing both in cloud AI technology and on-device machine learning capabilities, with the M4 chip promising to bring the entire Mac range up to speed in today’s world of ‘AI PCs’. But what does this actually mean for consumers?
AI for the Apple guy
Well, the current rumor (which originates from well-known Apple leaker ‘Phone Chip Expert’ on the Chinese site Weibo) states that Apple is working with chipmaker TSMC to develop the AI chip on a new 3nm process, but that production isn’t likely to start until the latter half of 2025 at the earliest. Basically, we shouldn’t expect to see this making a huge impact straight away.
The upcoming range of new M4 Mac products likely won’t be affected by this decision, with Apple still aiming to remain competitive with Intel and Qualcomm’s AI PC efforts.
However, Apple users of all sorts could stand to benefit from the company’s new interest in cloud-based AI – with its own powered-up servers for offloading AI workloads on iPhones, iPads, and Macs combined with more powerful on-device AI capabilities, Apple could be poised to become a market dominator offering best-in-class AI services to everyday users.
Apple’s on-device AI ventures actually started way back with the iPhone 8 in 2017, long before ChatGPT exploded in popularity. (Image credit: Future)
You might be surprised just how much AI there already is in your iPhone 15 or MacBook Air. Apple’s Neural Engine tech has been lurking in its phones since the A11 Bionic chip seen in the iPhone 8, powering staple iOS features such as Face ID and Animoji. As AI-powered software becomes more common – it’s already wormed its way deep into Adobe Photoshop, for example – the need for competitive hardware in both consumer devices and data centers is on the rise.
As always with leaks such as this, it’s wise to take it with a pinch of salt – while Phone Chip Expert is a relatively reputable leaker, that doesn’t instantly guarantee that this information is legit.
Still, I reckon it’s at least somewhat accurate; while a development like this will no doubt cause further struggles for TSMC’s already-burdened manufacturing and supply lines, the fact is that local on-chip AI isn’t yet powerful enough to properly handle high-level large language models – so investing in its own AI servers is the perfect way to deliver the best possible AI experience to users.
In a move that shows how mainstream artificial intelligence (AI) is these days, Logitech has launched its free Logi AI Prompt Builder software tool that isn’t yet another AI chatbot, but instead designed to help Logitech users get the most out of an existing chatbot, ChatGPT.
Logitech is also working on the hardware side of making AI-specific peripherals, launching a wireless mouse that’s equipped with an AI prompt button: the Logitech Signature AI Edition Mouse.
Who can access the Logi AI Prompt App and where
The Logi AI Prompt Builder can be accessed via the existing Logi Options+ app. This is freely available to anyone using a Logitech keyboard or mouse that’s supported by the English version of the Logi Options+ app, which includes Logitech MX, Ergo, Signature, and Studio Series devices.
Logitech has set up a site detailing the new AI tool, and you can click ‘Download Now’ to get the Logi Options+ app. Once you download and install this, you can designate a keyboard shortcut that you’d like to use to quickly open up the Logi AI Prompt Builder. Then, users can open it through the Logi Options + app or by using their keyboard shortcut, enabling them to receive recommendations about the text they've selected to converse with ChatGPT about.
(Image credit: Logitech)
Logi AI Prompt Builder will then offer you suggestions for commonly-used ChatGPT prompts, such as ‘Rephrase’ and ‘Summarise.’ You can also customize your queries within the tool, and ask it to make suggestions that take into account the sort of tone, style, complexity, and length of answer that you’d like. The latter of these is also offered by other generative AI tools like Microsoft’s own digital AI assistant, Windows Copilot. According to Logitech, this app will make for a smoother and less disruptive workflow, especially for those who make use of AI tools, thanks to you having to make fewer clicks and being able to work faster. You can check out how the tool works for yourself before downloading and installing it by watching a demo that Logitech has put on the Logi AI Prompt Builder site.
I could see this having use beyond helping people work with ChatGPT, as other generative AI chatbots like Google’s Gemini and Anthropic’s Claude Sonnet might also offer better responses thanks to Logitech’s suggestions.
Logi AI Prompt Builder is now live and accessible for free for any user with a suitable Logitech device, and is available for both Windows and Mac users via the Logi Options+ app. The dedicated Logitech Signature AI Edition Mouse is currently available exclusively on the Logitech.com website for $ 49.99 in the US and £54.99 in the UK.
(Image credit: Logitech)
A vote of confidence for generative AI
This launch has piqued my interest greatly because it’s a pretty substantial move from a company that mostly specializes in PC peripherals, which suggests that it’s not just computer manufacturers that are making products that embrace our AI future. It’s also pretty indicative to me of companies like Logitech being convinced of generative AI’s staying power.
It’s one step closer to AI being a normal part of our work and everyday lives, and reminds me of Microsoft’s plans to add a Copilot button in the keyboards of new laptop models. I’m keen to try a tool like this for myself and see if my workflow becomes smoother, because if that’s the case, Logitech, Microsoft, and others could be on to something.
A group of Adobe researchers recently published a paper on a new generative AI model called VideoGigaGAN and we believe it may launch on a future product. What it does is upscale low-quality videos by up to eight times their original resolution without sacrificing stability or important aspects of the source material. Several demo clips can be found on the project’s website showing off its abilities. It can turn a blurry 128×128 pixel resolution video of a waterfall into footage running at a resolution of 1,024×1,024 pixels.
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What’s noteworthy about the AI is it doesn’t skimp out on the finer details. Skin texture, wrinkles, strands of hair, and more are visible on the faces of human subjects. The other demos also feature a similar level of quality. You can better make out a swan swimming in a pond and the blossom on a tree thanks to this tech. It may seem bizarre to be focusing so much on skin wrinkles or feathers. However, it is this level of detail that companies like Adobe must nail down if they aim to implement image-enhancing AI on a wide scale.
Improving AI
You probably have a couple of questions about the platform’s latest project like how does it work? Well, it’s complicated.
The “GAN” in VideoGigaGAN stands for generative adversarial network, a type of AI capable of creating realistic images. Adobe’s version is specifically based on GigaGAN which specializes in upscaling generated content as well as real photos. The problem with this tech, as TheVerge points out, is that it can’t improve the quality of videos without having multiple problems crop up like weird artifacts. To solve this issue, Adobe researchers used a variety of techniques.
The research paper explains the whole process. You can read it yourself to get the full picture although it is dense material. Basically, they introduced a “flow-guided propagation module” to ensure consistency among a video’s frames, anti-aliasing to reduce artifacts, and a “high-frequency feature shuttle” to make up for sudden drops in detail. There is more to VideoGigaGAN than what we just described, but that’s the gist of it.
Potential inclusion
Will we see this on an upcoming Adobe product or roll out as a standalone app? Most likely – at least we think so.
In the past year, the company has been focusing heavily on implementing artificial intelligence into its software from the launch of Firefly to Acrobat’s new assistant. A few months ago during Adobe MAX 2023, a video upscaler referred to as Project Res Up was previewed at the event and its performance resembles what we see in the VideoGigaGAN demos. An old movie from the 1940s goes from running at a 480 x 360 image resolution to a crisp 1,280 x 960. Blurry footage of an elephant in a river becomes crystal clear. The presenter even mentions how the software can upscale a clip to four times the original quality.
Admittedly, this is conjecture, but it’s entirely possible VideoGigaGAN may be the engine behind Res-Up. Adobe’s future product could give people a way to upscale old family videos or low-quality footage into the movie we envision in our minds. Perhaps, the recent preview is a hint at an imminent release.
VideoGigaGAN is still deep in development so it’s unknown when or if it’ll come out. There are several obstacles in the way. The AI can’t properly process videos beyond 200 frames or render small objects, but we'll definitely be keeping an eye on it.
Microsoft is going full speed ahead with its upcoming Windows 11 update 24H2, also known as Hudson Valley. It's bringing more artificial intelligence (AI) features to the operating system, including AI Explorer, and as such Microsoft will be adding a feature that can tell users whether their PC will support it. Or you can look that information up for yourself.
Update 24H2, most likely launching in September or October 2024, will not only require PopCnt but a mandatory SSE4.2 requirement added to the undelaying code. This update will feature some truly great AI tools and enhancements to many Windows apps and programs like Windows Copilot and Cocreator AI-powered assistants for apps like Notepad and Paint.
Of course, the biggest feature is the aforementioned AI Explorer, which will make records of a user's previous actions and transform them into ‘searchable moments,’ thereby allowing users to search as well as retract them.
Over on X, Albacore found out (and Neowin reported on) that “a cautionary message will be displayed on such systems not meeting the requirements.” It’s a handy system for those who aren’t sure whether their PCs can handle these new AI features. However, instead of waiting until the update drops later in 2024 users can check if their PCs are AI-enabled right now.
Looking at bits present in insider build 26200, AI Explorer indeed checks these requirements and if they aren’t met, a warning will be present in its overlays. You can however skip the check altogether by disabling ID 48486440. This only disables AIX making the check, not the API https://t.co/XmnjzCZqEwApril 22, 2024
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Is your PC AI-enabled? Check now
Dell published a support page that instructs users how to accomplish this themselves. A key aspect here is your computer needs to have a built-in neural processing unit (NPU); that's a specialized processor designed for handling AI-based tasks, doing so more efficiently and using less power in the process that a CPU.
Dedicated NPUs are often found in PCs featuring Intel's 14th-Gen processors, AMD's Ryzen 7000 and 8000 series, and Qualcomm's Snapdragon 8cx Gen 2 or Snapdragon X Elite and newer.
You can see the steps for checking for NPUs in general, as well as how to check for the required drivers for Intel and AMD processors. As for Qualcomm processors, all AI hardware drivers are pre-installed and are updated via Windows Update.
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