Windows 10: Microsoft claims that a tiny component will make Windows more intelligent in the future

GHacks · Oct 10, 2025 at 10:23 AM

Desktop and mobile operating systems are getting more and more AI features. Microsoft is bringing new features in the recently released Windows 11 2025 Update, but Google and Apple are also introducing more AI into their products and devices.

For Microsoft, Copilot+ PCs are just the beginning of a long journey that is making Windows more intelligent. A recent article on Microsoft's website highlights the current status quo of AI in Windows and at the future of Windows.

Neural processing units (NPU) power this new functionality. The chips are a main requirement for Copilot+ PCs, enabling at least 40 trillion operations per second for AI operations.

Windows devices without these chips are locked out of most AI features that Microsoft introduced in the past three or so years. The 2025 feature update alone introduced several new features, including AI actions in File Explorer, Click to Do functionality, and Agent in settings. The latter accepts natural language prompts, such as "how can I share Internet with other devices", to point out solutions and provide users with information.

That is certainly useful for users who are less experienced when it comes to configuring Windows, provided that the AI agent gets it right and does not suggest something that is totally unrelated to the query.

Microsoft: the future of Windows is AI

More interesting than the current status quo is the plan that Microsoft has for Windows going forward. Microsoft believes that AI agents could change how users interact with computers, which it says has not really changed much in the past 60 years. "Intelligent software assistants" will be able to understand user requests "and with their permission perform tasks on their behalf" in the future on Windows machines.

For that, NPUs are essential. They allow to run AI tasks locally, which should please privacy-conscious users who look at Internet-powered AI features with suspicion. Still, the majority of Windows PCs does not have a NPU yet. This is the case for most Windows 10 devices, an operating system that Microsoft will end support for in less than two weeks.

But many Windows 11 PCs also lack an NPU. When Microsoft released Windows 11, it did not roll out its Copilot+ PC program. The first generation of Windows 11 PCs therefore does not support most AI features that Microsoft is introducing in Windows.

This will change in the coming years, as the focus will be on Copilot+ compatible PCs, because more and more features of the operating system will require AI or at least offer features that work only with a NPU.

Now You: do you have a PC with a NPU already? Do you use AI features regularly? What is your prediction for Windows going forward?

Thank you for being a Ghacks reader. The post Microsoft claims that a tiny component will make Windows more intelligent in the future appeared first on gHacks Technology News.

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btarunr · Oct 10, 2025 at 10:26 AM

Building Intelligent Systems With Windows 8 Embedded

Over the past year, Microsoft has been discussing the vast possibilities offered by the emergence of a new category within the traditional embedded market - intelligent systems.

A critical component of Microsoft's enterprise strategy, intelligent systems enable an unprecedented flow of data with the power to transform industries such as retail, manufacturing and medicine, by connecting devices where data is generated through employees and customers to back-end systems and services where it is translated into strategic insight to inform business decisions.

Last November, Microsoft outlined a product road map for its intelligent systems vision. As part of that plan, today Microsoft is making the Windows Embedded Standard 8 community technology preview (CTP) available on the x86 architecture.

With Windows Embedded, developers can use the same trusted tools used in building applications for Windows 8 to build specialized devices within line-of-business applications - extending the power of Windows 8 and the cloud to intelligent systems. Using the Windows Embedded platform, retailers can build smart digital signage and intelligent kiosks. Manufacturers can connect shop floor devices to back-end IT. In medicine, equipment for ultrasounds, x-rays and MRIs can deliver results directly to doctors at the bedside.

The Windows Embedded Standard 8 CTP is an important step in giving developers and enterprises an opportunity to evaluate Windows 8 technologies for connecting specialized devices to powerful back-end software. With the recent release of the Windows 8 Consumer Preview and Windows Server 8 beta, along with this week's launch of SQL Server 2012 and Windows Embedded Standard 8 CTP, Microsoft is offering a good look at a new, common set of technologies that spans specialized devices, servers, PCs and applications.

About Windows Embedded Standard 8
Windows Embedded Standard 8 is a componentized version of Windows 8 that includes features designed to meet the needs of specialized devices within intelligent systems, such as these:

Advanced device lockdown through flexible keyboard filters and a new unified write filter that combines previous write filters into a single, streamlined solution for better management and enhanced uptime.

Support for customized experiences and branding from boot to shut down, so apps can take advantage of Windows with a customized look and feel from the first press of the power button.

Componentization of the OS to scale the system up or down depending on the device, including a set of modules that have been preconfigured and tested to enable device-specific scenarios.

IT pro management tools, including the Universal Configuration Tool (UCT) that provides for local and remote management, integrated into the security infrastructure.

OS development tools, including the new Module Designer that allows developers to easily integrate third-party software into the OS, including the ability to copy files, execute commands, install drivers and modify the registry.

With the release of this CTP, developers for specialized devices and intelligent systems now have access to all the key functionality of Windows 8. Windows Embedded Standard 8 targets the specialized device world with all the native security improvements to the stack and core operating system components as Windows 8. Also, since it aligns with the new Metro app model, Windows Embedded Standard 8 will also allow developers to scale apps across types of specialized devices, customizing the interface for each type of device while maintaining their own proprietary branding and experience.

How to Get the CTP
Interested? Head over to the Windows Embedded Standard 8 download center and get started today. It is free, and the only limit is your imagination.

Jacquito · Oct 10, 2025 at 10:26 AM

Issues with Defender Security Intelligence updates

Hi Elijah,

I'm sorry to hear that you're having issues with Security Intelligence updates on your Windows 10 devices.

Based on your description, it seems like you've already tried a few troubleshooting steps, but the issue persists.

I found a thread on the Microsoft Community forum where a user reported a similar issue

and received some helpful suggestions from other users.

One user suggested that the issue could be caused by a third party antivirus program interfering with the processes of Microsoft Defender ¹.

Another user suggested resetting the Windows Update components ².

You may also want to try restarting the Microsoft Defender service ².

---------------------------------------------------

If none of these suggestions work, you can try manually installing the targeted update ².

You can find more information on how to do this in an article on MakeUseOf ³.

I hope this helps!

(1) Why so many Security Intelligence updates? - Microsoft Community. Why so many Security Intelligence updates? - Microsoft Q&A.

(2) How to Fix a Failed Microsoft Defender Update - MUO.

How to Fix a Failed Microsoft Defender Update.

(3) Security intelligence updates for Microsoft Defender Antivirus and ....

https://www.microsoft.com/en-us/wdsi/defenderupdates.

(4) Microsoft Defender Antivirus security intelligence and product updates. Microsoft Defender Antivirus security intelligence and product updates - Microsoft Defender for Endpoint.

Best Regards,

.

Brink · Oct 10, 2025 at 10:26 AM

Securing the future of AI and machine learning at Microsoft

Artificial intelligence (AI) and machine learning are making a big impact on how people work, socialize, and live their lives. As consumption of products and services built around AI and machine learning increases, specialized actions must be undertaken to safeguard not only your customers and their data, but also to protect your AI and algorithms from abuse, trolling, and extraction.

We are pleased to announce the release of a research paper, Securing the Future of Artificial Intelligence and Machine Learning at Microsoft, focused on net-new security engineering challenges in the AI and machine learning space, with a strong focus on protecting algorithms, data, and services. This content was developed in partnership with Microsoft’s AI and Research group. It’s referenced in The Future Computed: Artificial Intelligence and its role in society by Brad Smith and Harry Shum, as well as cited in the Responsible bots: 10 guidelines for developers of conversational AI.

This document focuses entirely on security engineering issues unique to the AI and machine learning space, but due to the expansive nature of the InfoSec domain, it’s understood that issues and findings discussed here will overlap to a degree with the domains of privacy and ethics. As this document highlights challenges of strategic importance to the tech industry, the target audience for this document is security engineering leadership industry-wide.

Our early findings suggest that:

1. Secure development and operations foundations must incorporate the concepts of Resilience and Discretion when protecting AI and the data under its control.

AI-specific pivots are required in many traditional security domains such as Authentication, Authorization, Input Validation, and Denial of Service mitigation.

Without investments in these areas, AI/machine learning services will continue to fight an uphill battle against adversaries of all skill levels.

2. Machine learning models are largely unable to discern between malicious input and benign anomalous data. A significant source of training data is derived from un-curated, unmoderated public datasets that may be open to third-party contributions.

Attackers don’t need to compromise datasets when they are free to contribute to them. Such dataset poisoning attacks can go unnoticed while model performance inexplicably degrades.

Over time, low-confidence malicious data becomes high-confidence trusted data, provided that the data structure/formatting remains correct and the quantity of malicious data points is sufficiently high.

3. Given the great number of layers of hidden classifiers/neurons that can be leveraged in a deep learning model, too much trust is placed on the output of AI/machine learning decision-making processes and algorithms without a critical understanding of how these decisions were reached.

AI/machine learning is increasingly used in support of high-value decision-making processes in medicine and other industries where the wrong decision may result in serious injury or death.

AI must have built-in forensic capabilities. This enables enterprises to provide customers with transparency and accountability of their AI, ensuring its actions are not only verifiably correct but also legally defensible.

When combined with data provenance/lineage tools, these capabilities can also function as an early form of “AI intrusion detection,” allowing engineers to determine the exact point in time that a decision was made by a classifier, what data influenced it, and whether or not that data was trustworthy.

Our goal is to bring awareness and energy to the issues highlighted in this paper while driving new research investigations and product security investments across Microsoft. Read the Securing the Future of Artificial Intelligence and Machine Learning at Microsoft paper to learn more.
Click to expand...

Source: Securing the future of AI and machine learning at Microsoft - Microsoft Secure

Windows 10: Microsoft claims that a tiny component will make Windows more intelligent in the future

Microsoft claims that a tiny component will make Windows more intelligent in the future

Microsoft claims that a tiny component will make Windows more intelligent in the future

Microsoft claims that a tiny component will make Windows more intelligent in the future

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