By Nikolajus Gavrilinas, Co-founder and CEO of LITILIT

Artificial intelligence has a brain. Giving it a body is proving considerably harder.

Companies including OpenAI, Meta and Anthropic are pouring billions into AI models that can write code, reason through problems and hold increasingly sophisticated conversations. Every month brings new advances in what these systems can accomplish.

But behind every AI breakthrough lies an enormous physical infrastructure: data centres, processors, memory chips, cooling systems and the optical connections that allow these components to communicate.

As we’ve explored in our recent coverage of physical AI and autonomous systems, bringing artificial intelligence into the real world requires far more than advances in software. It also depends on the hardware, manufacturing processes and industrial systems that make those capabilities possible.

And building that infrastructure is becoming one of the industry’s most pressing challenges.

The problem isn’t simply the scale of investment required. It’s the extraordinary precision needed to manufacture the hardware on which modern AI depends.

AI’s trillion-dollar infrastructure challenge

According to Gartner, AI providers are expected to spend nearly $1 trillion on infrastructure this year, with a further $6 trillion projected between 2027 and 2030.

Much of that investment will go towards the hardware inside data centres.

AI chips and the high-bandwidth memory stacked alongside them are only part of the equation. Glass substrates, advanced packaging technologies, optical and photonic components, and sophisticated cooling systems are increasingly essential to keeping thousands of interconnected processors operating efficiently.

Yet manufacturing these components presents challenges that conventional tools are struggling to overcome.

As AI systems become more powerful, the components supporting them must become smaller, more complex and more precisely engineered.

In many cases, we’re approaching the physical limitations of established manufacturing techniques.

When conventional manufacturing reaches its limits

Consider through-glass vias, or TGVs.

These microscopic holes are drilled through glass and filled with metal, creating electrical connections that allow signals and power to pass vertically through advanced semiconductor packaging.

Chipmakers are increasingly interested in using these connections, but producing them reliably at commercial scale remains difficult.

Conventional drilling methods can leave microscopic cracks, uneven holes and other defects that compromise the integrity of the glass.

According to TrendForce, challenges associated with these manufacturing processes could delay commercial-scale production of certain glass-core substrates until after 2030.

And glass is only one example.

High-bandwidth memory is constructed by stacking multiple chips, often 12 or 16 layers high. Each layer must be manufactured and assembled with extraordinary precision.

Meanwhile, advanced circuit boards increasingly rely on hard, low-loss materials that can quickly wear down conventional drilling tools.

As components become thinner and more densely packed, the margin for error continues to shrink.

These are not problems that can be solved simply by increasing computing power or developing better software.

They require new approaches to manufacturing.

Why femtosecond lasers matter

One promising technology is the femtosecond laser.

Unlike conventional laser systems, femtosecond lasers emit pulses lasting just a quadrillionth of a second.

These extraordinarily short pulses can remove material before significant heat spreads into the surrounding area.

The result is an exceptionally precise manufacturing process that can create microscopic features while minimising cracking, melting and other forms of thermal damage.

For advanced glass substrates, this means drilling extremely small holes without compromising the surrounding material.

And because the process can be repeated thousands of times across a single panel, it offers a potential route towards producing complex components at industrial scale.

At LITILIT, we believe this combination of precision and scalability will become increasingly important as AI hardware evolves.

From glass substrates to optical connections

The potential applications extend well beyond semiconductor packaging.

As AI processors become more powerful, moving information efficiently between chips is becoming a growing challenge.

Co-packaged optics, which bring optical communication components closer to processors, are one approach to addressing this problem.

These systems require microscopic channels and other precisely manufactured features that allow optical connections to be integrated into complex hardware assemblies.

Femtosecond lasers can help create those structures within glass and other materials.

Cooling presents another challenge.

Advanced processors generate substantial amounts of heat, and engineers are exploring increasingly sophisticated methods of bringing cooling fluids closer to the components that need them most.

Creating microscopic channels in glass and silicon could help support these approaches.

Across these applications, the underlying requirement is remarkably similar: manufacturing extremely small, intricate structures without damaging the surrounding material.

That’s precisely where ultrafast laser technology has an advantage.

The challenge of scaling precision manufacturing

However, developing a technology capable of producing microscopic features is only part of the challenge.

The next step is making that technology practical for industrial production.

Femtosecond lasers originated largely as scientific instruments, designed for research environments where precision often matters more than cost, complexity or manufacturing throughput.

Industrial production demands something different.

Manufacturers need equipment that is reliable, repeatable, automated and available in sufficient quantities to support large-scale operations.

At LITILIT, our objective has been to address that gap.

Our laser architecture is protected by two patents, including one developed in collaboration with Lithuania’s Center for Physical Sciences and Technology.

Rather than adapting laboratory equipment for industrial use, we designed the technology around manufacturing requirements from the outset.

That means a modular architecture, reduced component complexity and a high degree of automation.

Our new factory in Vilnius is designed to produce up to 3,000 lasers annually at full capacity.

We also intend to replicate this manufacturing model in other countries as demand grows.

The broader lesson is that precision alone is not enough.

For a technology to transform an industry, it must also be possible to manufacture and deploy it at scale.

Beyond data centres: Precision manufacturing everywhere

Although AI infrastructure is an important driver of demand, the applications for femtosecond lasers extend into many other industries.

Consumer electronics manufacturers increasingly require precision cutting and shaping techniques for glass, camera lenses and display components.

Smartphones, laptops and smart glasses all depend on components that must be manufactured within increasingly demanding tolerances.

Medical technology offers further opportunities.

Next-generation laser systems are being developed for applications including corneal reshaping in eye surgery, where precision and control are essential.

These industries may appear unrelated, but they share a common manufacturing challenge.

As products become more sophisticated, the materials used to build them become harder to process using conventional techniques.

The ability to work at microscopic scales without introducing cracks, heat damage or excessive material waste is becoming increasingly valuable.

AI’s future will be built on factory floors

The extraordinary progress of artificial intelligence has understandably focused attention on software.

We measure advances through increasingly capable models, more sophisticated reasoning and new applications that would have seemed impossible only a few years ago.

But none of these developments can continue indefinitely without corresponding advances in the physical systems supporting them.

The next generation of AI infrastructure will depend on technologies capable of manufacturing smaller, denser and more complex components at industrial scale.

That means solving challenges involving glass, silicon, advanced packaging, optical communications and thermal management.

It also means developing manufacturing tools capable of delivering microscopic precision consistently and economically.

The brain of AI was built in software laboratories.

Its body is being built on factory floors, one microscopic hole and one crack-free cut at a time.

And how quickly AI advances from here may depend as much on our ability to manufacture that body as on our ability to improve the intelligence running inside it.

About the author: Nikolajus Gavrilinas is co-founder and CEO of LITILIT, a Lithuanian manufacturer of femtosecond laser technology. His work focuses on developing ultrafast laser systems for industrial applications.

The views expressed in this article are those of the author and do not necessarily reflect the editorial position of Tech Trends.

The post AI has a brain. Who will build its body? appeared first on Tech Trends.

In an age when almost every form of entertainment seems to involve a screen, there’s something refreshingly appealing about a book that encourages children to put down their devices and start doing something.

Not simply reading, but making, experimenting, exploring, solving puzzles and discovering new interests.

Technology has undoubtedly transformed childhood, bringing extraordinary opportunities for learning, creativity and connection. Yet alongside the growing sophistication of digital entertainment, there’s also an interesting countertrend emerging: a renewed appreciation for physical experiences that don’t require an app, an internet connection or a rechargeable battery.

It’s a theme that feels particularly relevant as Highlights celebrates its 80th anniversary with two activity books designed to keep young minds engaged away from screens.

The Highlights Book of Things to Do and Escape Rooms! Solve the Clues. Crack the Codes. Escape Six Mind-bending Rooms approach the challenge differently, but share a common philosophy: children don’t necessarily need more entertainment delivered to them. Sometimes, they simply need something interesting to do.

Finding creativity beyond the screen

The first book, The Highlights Book of Things to Do, takes a broad approach to screen-free entertainment.

Originally published in hardcover in 2020 and now available in a more affordable paperback edition, the 372-page collection features more than 500 activities aimed at children aged seven and older.

The range is deliberately eclectic.

Children can experiment with making rock candy, learn magic tricks, create comic strips, build box kites, explore nature or put together time capsules.

Other activities introduce cooking, crafts, science experiments, puzzles and outdoor adventures.

The variety is one of the book’s most appealing qualities.

Rather than prescribing a particular interest, it offers opportunities for children to discover what captures their imagination.

A child fascinated by science might gravitate towards experiments, while another might prefer drawing, building things or trying a new recipe.

Importantly, many of these activities also encourage children to develop practical skills through experimentation.

And unlike digital entertainment, where the experience is often carefully designed and controlled, hands-on activities introduce an element of unpredictability.

Things don’t always work the first time.

A homemade experiment might produce an unexpected result. A craft project might require improvisation. A new skill might take several attempts to master.

That process of trying, adapting and trying again is an important part of learning.

Bringing the escape-room experience to paper

The second title, Escape Rooms!, takes a more focused approach.

Designed for children aged eight to twelve, the 56-page hardcover book contains six illustrated escape-room challenges.

Each scenario invites readers to investigate their surroundings, identify clues, crack codes and solve interconnected puzzles.

The premise will be familiar to anyone who has experienced a physical escape room or played a digital puzzle adventure.

But here, the entire experience unfolds on paper.

Instead of tapping objects on a screen or navigating a virtual environment, children must examine illustrations, make connections and work through the challenges themselves.

The format is particularly interesting because it borrows the structure of interactive entertainment without requiring the technology normally associated with it.

Each room presents a different environment and collection of mysteries, with puzzles designed to reward careful observation and logical thinking.

Some challenges can be approached quickly, while others require patience and more sustained attention.

The book can also provide opportunities for collaborative problem-solving, with children working through clues together rather than tackling every puzzle independently.

For families looking for alternatives to digital games, this is an appealing concept.

It retains the sense of discovery, progression and achievement that makes interactive entertainment engaging, but translates those qualities into a physical experience.

Screen-free doesn’t have to mean anti-technology

Perhaps the most interesting aspect of these books is what they suggest about the broader conversation surrounding children’s screen time.

It’s tempting to frame the issue as a competition between traditional activities and modern technology.

But that distinction is increasingly unhelpful.

Digital experiences can be educational, creative and socially engaging. Equally, not every activity involving a physical object necessarily encourages meaningful learning.

The more useful question is whether children are actively participating in an experience or simply consuming entertainment.

This is something we’ve explored recently at Tech Trends in our coverage of helping children become technology creators.

That article examined how coding, robotics and hands-on STEM education can encourage children to move beyond passive consumption towards building, experimenting and solving problems.

Interestingly, many of the same principles apply to traditional activity books.

Whether children are programming a robot, building a model, solving a logic puzzle or conducting a science experiment, the underlying skills often overlap.

Curiosity, creativity, persistence and problem-solving aren’t inherently digital or analogue.

They’re human skills that can be developed through many different experiences.

The enduring appeal of physical experiences

There are also qualities that physical books and activities offer which digital experiences don’t always replicate.

A book doesn’t send notifications.

It doesn’t require an account, encourage in-app purchases or compete for attention with an endless stream of recommended content.

Children can return to an unfinished puzzle, revisit a favourite activity or work at their own pace without an algorithm deciding what should come next.

Physical activities also create opportunities for shared experiences.

Making something together, working through a difficult puzzle or attempting a science experiment can encourage conversations and collaboration that extend beyond the activity itself.

This isn’t necessarily an argument against digital learning.

Indeed, as Tech Trends explored in our earlier coverage of virtual reality in education, immersive technology can offer extraordinary educational opportunities when used thoughtfully.

The point is that different experiences offer different benefits.

A virtual field trip can introduce children to places they might never otherwise visit.

A physical activity book can encourage them to explore their own surroundings, make something with their hands or discover an interest they hadn’t previously considered.

There’s room for both.

Eighty years of encouraging curiosity

The timing of these releases is particularly appropriate.

Highlights Magazine is celebrating its 80th anniversary in 2026, marking eight decades of encouraging children to explore, question and engage with the world around them.

Although the brand now operates across digital platforms as well as traditional publishing, its activity books reflect a philosophy that has remained remarkably consistent.

Highlights CEO Kent Johnson recently described the renewed interest in offline experiences as a rebalancing away from screens.

It’s a useful way of thinking about the trend.

Rather than abandoning technology, families may increasingly be looking for a healthier balance between digital entertainment and other forms of play.

And there’s something reassuring about the fact that activities which entertained previous generations can still appeal to children growing up in a very different technological environment.

Two different approaches to screen-free engagement

For parents considering the two books, the choice largely depends on the child’s interests.

The Highlights Book of Things to Do is the more versatile option, offering hundreds of activities across a wide range of subjects.

It’s particularly well suited to children who enjoy exploring different interests, making things and discovering new projects.

Escape Rooms!, meanwhile, offers a more structured experience.

Its illustrated challenges are aimed at children who enjoy mysteries, codes and logic puzzles, particularly those motivated by the satisfaction of solving a difficult problem.

Both books are designed to encourage active participation, although they do so in distinctly different ways.

The Highlights Book of Things to Do

• Ages: 7+
• Format: Paperback, 372 pages
• Publication date: September 29, 2026
• Price: $19.99
• ISBN: 9781639626489

Escape Rooms! Solve the Clues. Crack the Codes. Escape Six Mind-bending Rooms

• Ages: 8–12
• Format: Hardcover, 56 pages
• Publication date: October 13, 2026
• Price: $16.99
• ISBN: 9781639625185

Finding balance in a digital childhood

As technology becomes more deeply integrated into children’s lives, it’s worth remembering that innovation doesn’t always mean replacing what came before.

Sometimes it means recognising the continuing value of experiences that have been around for generations.

The appeal of these two Highlights books isn’t that they offer an escape from technology altogether.

It’s that they provide opportunities for children to engage with the world in different ways.

Whether they’re building something, experimenting with a new idea or working through a complicated puzzle, the emphasis is on participation rather than passive consumption.

And in a world where entertainment is increasingly available at the swipe of a finger, encouraging children to slow down, explore and create might be one of the most valuable things we can offer them.

Review copies of both books were provided to Tech Trends by Highlights Press.

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Artificial intelligence is rapidly moving beyond chatbots, content generation and software-based applications.

The next frontier is physical AI: intelligent systems capable of perceiving, navigating and interacting with the world around them.

From humanoid robots and autonomous vehicles to industrial automation and intelligent logistics, physical AI is attracting growing attention across the technology industry.

New research from GlobalData reveals that conversations about physical AI among influencers on X surged in August 2026 and remained elevated through October, reflecting growing interest in the technologies needed to bring AI into real-world environments.

According to the company’s analysis, the discussion increasingly extends beyond robotics manufacturers to encompass semiconductor companies, software developers, autonomous mobility providers and industrial technology businesses.

From software intelligence to embodied AI

While generative AI has dominated much of the technology conversation in recent years, physical AI represents a significant expansion of its potential applications.

Instead of simply generating information or responding to prompts, embodied AI systems must interpret their surroundings, make decisions and execute actions in dynamic physical environments.

This creates opportunities across multiple industries, but also introduces complex engineering challenges.

Shreyasee Majumder, Social Media Analyst at GlobalData, explains:

“Influencer discussions indicate that physical AI is drawing greater attention as companies across the technology value chain position themselves to capture the opportunity.”

The research highlights how companies are increasingly treating physical AI as an interconnected ecosystem involving chips, sensors, software platforms and robotics hardware.

This convergence has been developing for some time. Back in 2019, Tech Trends explored how cloud AI, humanoid robotics and 5G connectivity were coming together to enable machines to perform increasingly sophisticated physical tasks.

Today’s advances in AI models and computing hardware are bringing renewed attention to those possibilities.

NVIDIA and the growing physical AI ecosystem

One of the most prominent companies in these conversations is NVIDIA, whose AI computing platforms and robotics development resources have helped position it within the emerging physical AI ecosystem.

GlobalData’s analysis identifies NVIDIA as a frequent subject of discussion, particularly regarding its open models and resources for robotics and autonomous systems developers.

Other companies mentioned include Intel, Qualcomm, Huawei, Black Sesame and Horizon Robotics.

Together, these businesses illustrate the increasingly competitive market for the semiconductor technology and software infrastructure needed to support physical AI.

The challenge extends beyond delivering greater computing power.

Physical AI systems also require sophisticated perception, low-latency decision-making and reliable integration between software intelligence and mechanical systems.

Autonomous vehicles expand the conversation

Autonomous mobility is another major driver of interest.

GlobalData found that influencers frequently connected physical AI with autonomous driving, robotaxis and self-driving trucks.

NVIDIA’s Alpamayo 2 was discussed in relation to robotaxi decision-making, including path planning, edge-case handling and the ability to explain driving actions.

Meanwhile, Applied Intuition featured in conversations about deploying autonomous trucks with HUMAIN.

Zoox was also highlighted for its work on autonomous driving technologies.

Discussions additionally touched on Tesla, Samsung Electro-Mechanics and LG Innotek, particularly around the component supply chain supporting Tesla’s Cybercab.

These developments build on years of work to develop the infrastructure necessary for autonomous transportation.

Tech Trends previously examined how high-definition mapping and connected infrastructure could support a fully autonomous world, highlighting the importance of accurate environmental information for self-driving vehicles.

Physical AI adds another dimension to that challenge by bringing increasingly sophisticated AI decision-making into autonomous systems.

Humanoid robots move towards commercialisation

Humanoid robotics is emerging as another focal point.

According to GlobalData, influencers paid particular attention to XPeng’s Iron humanoid robot and the company’s plans to begin selling it in the second half of 2027.

Discussions also highlighted XPeng’s proprietary Turing chip and its potential role in supporting software compatibility, cost control and supply-chain stability.

Other companies attracting attention included Tesla’s Optimus programme, Skild AI, Mind Robotics and Weave Robotics.

The growing interest reflects a broader industry ambition to develop robots capable of performing useful tasks in environments originally designed for humans.

However, moving from impressive demonstrations to dependable commercial deployment remains a substantial challenge.

Hardware costs, reliability, safety and the ability to operate effectively outside controlled environments will all influence how quickly humanoid robotics becomes commercially viable.

Industrial deployment becomes the real test

Beyond autonomous vehicles and humanoid robots, physical AI is also attracting interest in manufacturing, warehousing and logistics.

GlobalData’s analysis highlights discussions surrounding ASUS’s decision to rename its AIoT business around physical AI and Renesas’ establishment of a physical AI and Robotics Lab.

Other examples include Figure’s Helix 2.5, Agility Robotics’ Digit 5 and Einride’s cab-less autonomous truck operating on German public roads.

Amazon’s robotics operations and Waymo’s expansion into new markets also featured in conversations about the commercial applications of physical AI.

These examples point towards an important distinction.

While humanoid robots often capture public attention, some of the most immediate commercial opportunities for physical AI may emerge in more specialised environments.

Agriculture provides an interesting example. In our earlier coverage of John Deere’s autonomous tractor, we explored how computer vision, machine learning and precision positioning could enable agricultural machinery to navigate fields and perform complex tasks autonomously.

Warehouses, factories and logistics networks offer similar opportunities to deploy intelligent systems in settings where tasks can be clearly defined and performance measured.

The next chapter of artificial intelligence

The growing discussion surrounding physical AI suggests that the industry is increasingly looking beyond what artificial intelligence can generate towards what it can physically accomplish.

For technology companies, the opportunity spans everything from advanced processors and development platforms to autonomous machines and industrial systems.

But the transition from digital intelligence to physical autonomy will require more than increasingly capable AI models.

Success will depend on reliable hardware, sophisticated software integration, safety engineering and the ability to deliver measurable value in real-world environments.

As GlobalData’s research illustrates, the conversation is already expanding across the technology ecosystem.

The next question is which companies can turn that growing interest into scalable, commercially viable systems.

Source: GlobalData Social Media Analytics Platform, October 26, 2026. Findings reflect analysis of influencer conversations on X.

The post Bringing AI into the physical world with robotics and autonomous systems appeared first on Tech Trends.

Smartphones have become indispensable tools for modern life. From contacting family and navigating unfamiliar places to accessing breaking news and emergency alerts, we increasingly depend on a single device to keep us informed and connected.

But what happens when the power goes out, mobile networks become overloaded, or broadband connections suddenly disappear?

According to Marcus Clarke, founder of The Prepared Household, many people haven’t considered just how vulnerable their communications could become during a prolonged power cut.

“We’ve become so used to having everything available at the touch of a button that we forget how dependent we are on technology,” Clarke explains.

When smartphones become a liability

One of the most immediate concerns during a power outage is battery life.

Even if mobile networks remain operational, smartphones are only useful for as long as they have power.

“Once your phone runs out of battery, you’ve potentially lost your main way of contacting people, checking the news or getting emergency updates,” Clarke warns.

However, keeping a phone charged doesn’t necessarily guarantee connectivity.

Mobile networks themselves depend on electrical infrastructure. Although operators maintain backup power systems, these aren’t designed to keep every mobile mast operational indefinitely.

During major emergencies, network congestion can also become a significant problem.

When thousands of people simultaneously attempt to contact loved ones, access information or call emergency services, mobile networks can struggle to accommodate the increased demand.

As Tech Trends explored in our article on data centre resilience and the challenges facing critical digital infrastructure, keeping digital services operational increasingly depends on the resilience of complex, interconnected systems.

“People assume that as long as their phone is charged, they’ll be able to make a call,” Clarke explains. “But if the local network goes down, having a fully charged phone won’t guarantee you can get through.”

The hidden vulnerability of digital landlines

For households that still maintain a landline, there’s another potential complication.

As the UK transitions away from traditional copper telephone networks, more households are being moved onto digital voice services operating through broadband connections.

Unlike traditional corded telephones, these systems generally require electricity to function.

That means a power cut could potentially disable both a household’s broadband connection and its landline.

This is particularly concerning for older residents and people who rely on their home telephone to contact emergency services.

UK communications regulator Ofcom advises vulnerable customers who depend on their landline to discuss emergency backup arrangements with their provider.

Providers must offer appropriate solutions to eligible customers, including at least one hour of emergency calling during a power outage.

However, households shouldn’t assume their existing telephone equipment will automatically continue functioning without electricity.

Five simple ways to prepare

The good news is that improving household communications resilience doesn’t necessarily require expensive equipment.

Clarke recommends several straightforward precautions:

• Keep a charged power bank: A portable battery can provide additional smartphone charging capacity when mains electricity is unavailable.
• Invest in a battery-powered or wind-up radio: Radio broadcasts may remain accessible even when broadband and mobile data services are disrupted.
• Maintain a printed contact list: Keep important telephone numbers somewhere accessible without relying on a smartphone.
• Keep a physical map: Offline navigation can prove useful if digital mapping services become inaccessible.
• Agree on a family communication plan: Establish a meeting point or alternative arrangements in case household members become separated and cannot contact one another.

These measures are relatively inexpensive, but they provide valuable alternatives when everyday digital services become unavailable.

Building resilience into our connected lives

The broader lesson extends beyond emergency preparedness.

As homes become increasingly dependent on connected technology, everything from heating controls and security systems to communications and entertainment can rely on a continuous supply of electricity and internet connectivity.

The implications of this dependence aren’t entirely new.

In our earlier coverage of consumer awareness of smart appliances, research revealed that 30% of surveyed consumers were concerned about being unable to use connected household devices if their internet connection stopped working.

Meanwhile, our expert analysis of building a future-proof smart home explored how increasingly interconnected household systems could bring convenience through unified controls and automation.

Yet that same connectivity can introduce additional points of failure when the underlying infrastructure becomes unavailable.

Clarke argues that households shouldn’t abandon technology. Instead, they should recognise its limitations and maintain practical alternatives.

“It’s not about getting rid of your smartphone or expecting the worst,” he concludes.

“Your phone is an incredibly useful tool, but it shouldn’t be your only plan.”

As connected devices become ever more deeply integrated into everyday life, perhaps the smartest approach isn’t simply adopting more technology, but ensuring we’re prepared for the occasions when it stops working.

The post Staying connected when the power goes out appeared first on Tech Trends.

Pelvic floor health might not be the first thing that comes to mind when thinking about strength training, but perhaps it should be.

While fitness programmes increasingly encourage women to lift heavier weights, build muscle and focus on longevity, the pelvic floor often remains an overlooked part of the conversation.

That’s the thinking behind Connect Pelvic Floor Fitness, an online training platform that combines pelvic floor rehabilitation principles with progressive, full-body strength training.

I’ve recently started exploring the programme myself, and although it’s still early days, my first impressions have been very positive.

More than Kegels

Developed by Dr. Caroline Packard, DPT, a physical therapist specialising in pelvic floor health, Connect takes a refreshingly comprehensive approach to women’s fitness.

Rather than treating the pelvic floor as an isolated muscle group, the programme explores how breathing, posture, pressure management and core coordination work together during everyday movement and exercise.

It’s an approach informed by Packard’s more than 15 years of clinical experience.

The platform offers more than 850 guided workouts, with new content added monthly. These span everything from foundational breathing exercises and mobility to progressive strength training, HIIT, yoga, advanced core work and return-to-running programmes.

There’s also a structured progression through different training phases, beginning with the fundamentals before moving into more demanding exercises.

First impressions: Accessible, thoughtful and encouraging

What I’ve particularly appreciated so far is the emphasis on understanding why you’re doing an exercise, rather than simply following instructions.

The educational elements are integrated into the training experience, helping explain the relationship between breathing, movement and pelvic floor coordination.

The progression also feels thoughtfully designed, with an emphasis on establishing the fundamentals rather than immediately jumping into intensive workouts.

It’s a welcome change from fitness programmes that assume everyone starts from the same place.

Having only recently begun using Connect, it’s too early to assess longer-term results. However, the initial experience has been encouraging, and I’m looking forward to exploring more of the programme over the coming weeks.

The Connect Pelvic Floor Fitness app provides access to guided workouts, including advanced strength training, core exercises and return-to-running programmes.

Caption: The Connect Pelvic Floor Fitness app offers a range of guided programmes, from foundational exercises to advanced strength training and return-to-running workouts. Image: Connect Pelvic Floor Fitness.

A comprehensive fitness platform

One of Connect’s strengths is the accessibility of its educational content.

Alongside its extensive workout library, membership includes specialist resources, mobility and troubleshooting exercises, live Q&A opportunities with Packard, and access to a supportive members-only community.

The programme can be accessed through its website, mobile apps and compatible streaming devices, making it relatively easy to incorporate into an existing fitness routine.

As the accompanying image illustrates, the app organises workouts into clearly defined categories, including Foundations, Advanced and Recently Added.

Within the Advanced section, users can explore programmes such as Advanced Total Body Fitness, Advanced Core and Return to Running.

The interface is designed to make navigating the extensive workout library straightforward, while the structured programmes provide a clear progression from foundational exercises to more demanding training.

For women interested in developing a better understanding of their pelvic floor while building overall strength, the combination of education and guided exercise is an appealing proposition.

Of course, an online programme isn’t a substitute for an individual assessment by a qualified healthcare professional when symptoms require diagnosis or treatment.

Black Friday offer: 30% off annual and gift memberships

For anyone considering trying Connect Pelvic Floor Fitness, or gifting a membership to someone else, the company has confirmed a 30% Black Friday discount on both annual memberships and 12-month digital gift memberships.

The promotion runs from November 16–30, 2026, reducing the regular price from $180 to $126 when using the promotional code BFPR26 at checkout.

The digital gift membership is particularly convenient for holiday gifting. Unlike a recurring subscription, it’s a one-time purchase with no automatic renewal, and recipients have 90 days to activate their membership.

Gift memberships can be purchased directly through the Connect Pelvic Floor Fitness gift membership checkout.

The promotional code is already active, although the advertised Black Friday offer officially runs from November 16 through November 30.

For anyone looking for a practical wellness gift this holiday season, the discounted digital membership offers a full year of access without requiring the recipient to commit to an ongoing subscription.

A promising start

It’s refreshing to see a fitness platform treating pelvic floor health as an integral part of strength and movement rather than an afterthought.

Connect’s combination of specialist knowledge, structured progression and accessible digital delivery makes for an interesting approach to women’s fitness.

My experience so far has been very positive, particularly the attention given to education and the foundations of movement.

I’ll be continuing to explore the programme and look forward to sharing a more detailed assessment as I progress.

For now, Connect is certainly worth a closer look for women interested in combining pelvic floor awareness with a broader approach to strength training.

Disclosure: Tech Trends received complimentary access to Connect Pelvic Floor Fitness for editorial evaluation. This article reflects the author’s initial experience with the platform. Longer-term results have not yet been assessed.

The post Building strength from the pelvic floor up with Connect appeared first on Tech Trends.

Artificial intelligence is rapidly becoming embedded in everyday workplace activities, but the speed of adoption is creating an increasingly difficult challenge for corporate cybersecurity teams: understanding exactly which AI tools employees are using, what information they’re sharing, and where sensitive company data might be going.

As organizations grapple with this growing problem of “shadow AI,” cybersecurity provider NordLayer has introduced  NordLayer AI Scout, a new security and monitoring platform designed to provide visibility into AI applications, employee interactions, and autonomous agents operating across enterprise environments.

The solution combines AI usage monitoring, data loss prevention (DLP), and agent discovery capabilities, promising organizations a clearer picture of their AI exposure without necessarily restricting employees’ access to emerging technologies.

The growing security risks of shadow AI

The rapid proliferation of generative AI tools has fundamentally changed how employees approach everyday tasks, from writing and research to software development and data analysis.

However, much of this activity takes place outside officially sanctioned corporate systems.

Research from the University of Melbourne, cited by NordLayer, suggests that 70% of employees use freely available large language models (LLMs) at work, compared with just 42% using company-provided tools.

This creates a significant visibility gap for IT and security teams, which may have little insight into the information employees are sharing with external AI services.

The financial consequences can also be substantial.

According to IBM figures cited in NordLayer’s announcement, data breaches involving shadow AI carry an additional average cost of approximately $400,000, on top of a global average breach cost of $4.99 million.

Meanwhile, Writer’s 2026 AI Adoption in the Enterprise survey indicates that 59% of companies are investing more than $1 million annually in AI technology.

Together, these figures highlight an emerging challenge: organizations are investing heavily in AI capabilities while potentially overlooking the security implications of tools operating beyond established governance frameworks.

Making AI activity visible across the enterprise

NordLayer AI Scout aims to address this problem by bringing AI interactions into a centralized monitoring environment.

Rather than relying exclusively on traditional application inventories or network restrictions, the platform is designed to observe AI activity across web browsers and desktop environments.

According to NordLayer, the solution can identify both authorized and unauthorized AI applications, providing security administrators with information about which tools employees are using and how frequently they interact with them.

The platform also incorporates monitoring of AI prompts, enabling organizations to identify potentially sensitive information before it is submitted to external services.

This approach reflects a broader shift in enterprise cybersecurity, where understanding how AI systems interact with corporate information is becoming as important as controlling access to the applications themselves.

“What companies are facing today is an AI zoo — dozens of unsanctioned LLMs in daily use across the workforce, each one widening the organization’s exposure to data leaks and security breaches,” says Andrius Buinovskis, VP of Product Strategy at NordLayer.

“True AI governance requires extensive visibility. With new LLM solutions emerging at a rapid pace, reviewing every new AI tool manually simply doesn’t scale.”

Moving data protection directly into AI interactions

One of the distinguishing features of NordLayer AI Scout is its approach to data loss prevention.

Traditional DLP technologies have generally focused on monitoring files, emails, and network transfers to prevent confidential information from leaving an organization.

However, generative AI introduces another potential route for sensitive data exposure: employees entering confidential information directly into AI prompts.

NordLayer’s solution extends DLP controls to these interactions, with the ability to warn users, redact sensitive information, or block prompts before they are submitted.

The company says this functionality operates across supported browser-based AI tools and is designed to reduce the risk of confidential business information being inadvertently shared with external AI providers.

“We built NordLayer AI Scout for how AI actually works — not just what it looks like from the outside, but for what’s happening at a technical level,” explains Vakaris Noreika, VP of Product Research and Development at NordLayer.

“Its AI DLP is designed to inspect prompts and control them pre-submission, to ensure that sensitive data is never inputted in the first place.”

The distinction is important because preventing sensitive information from entering an external AI system may be considerably more effective than attempting to manage its exposure afterward.

Nevertheless, the effectiveness of such protections will depend on factors including application compatibility, policy configuration, and the accuracy of sensitive-data detection.

Extending security oversight to autonomous AI agents

Beyond conventional generative AI applications, NordLayer AI Scout also addresses another emerging cybersecurity challenge: autonomous AI agents.

As businesses increasingly experiment with agentic AI systems capable of interacting with applications, retrieving information, and performing tasks independently, security teams face new questions about what those agents can access and execute.

NordLayer’s platform includes visibility into Model Context Protocol (MCP) servers, which allow AI applications and agents to connect with external tools and data sources.

The system is designed to identify agent connections, available resources, and the capabilities exposed through those connections.

This includes an inventory of the skills and tools available to AI agents, potentially helping administrators identify excessive permissions or unexpected access to sensitive business systems.

Such capabilities could become increasingly relevant as enterprises move beyond AI chatbots toward more autonomous workflows.

An AI assistant summarizing a document presents a different risk profile from an autonomous agent capable of accessing corporate databases, modifying records, or executing actions across connected services.

Understanding those distinctions will be essential for organizations attempting to establish effective AI governance policies.

Measuring real AI adoption rather than purchased licenses

Another aspect of NordLayer AI Scout focuses on the business value of AI investments.

While organizations frequently measure AI adoption through purchased licenses or approved applications, these figures may provide an incomplete picture of actual usage.

NordLayer’s platform instead measures observed activity across AI tools, including applications operating outside officially sanctioned environments.

Its analytics capabilities are designed to distinguish active users from paid or provisioned seats, identify adoption patterns, and estimate token expenditure across deployed LLMs.

This information could help businesses identify underutilized subscriptions, understand which tools employees genuinely prefer, and determine where additional investment or training may be warranted.

It could also reveal situations where employees consistently turn to unauthorized AI services because approved alternatives fail to meet their needs.

Rather than treating every instance of shadow AI as a compliance violation, organizations could potentially use these insights to improve their technology strategies.

Balancing AI security with employee privacy

Although greater visibility into AI activity offers clear security benefits, it also raises important questions about employee monitoring and data privacy.

Tools capable of inspecting prompts and tracking AI usage must be implemented with appropriate safeguards, particularly where interactions could contain personal information or confidential communications.

Organizations adopting this type of technology will need to establish clear policies governing what information is collected, who can access it, how long it is retained, and how monitoring practices are communicated to employees.

Security teams must also consider the potential for false positives, particularly when automated systems attempt to distinguish sensitive information from legitimate business activity.

The challenge is therefore not simply to make AI usage visible, but to ensure that increased oversight remains proportionate, transparent, and consistent with applicable privacy requirements.

Bringing AI governance into everyday operations

NordLayer AI Scout is now available to organizations seeking greater oversight of their AI environments.

The launch reflects an increasingly important development in enterprise cybersecurity: the transition from managing individual AI applications toward understanding the wider ecosystem of tools, agents, data connections, and employee interactions.

As AI becomes more deeply integrated into business operations, traditional approaches based primarily on application approval and access restrictions may prove insufficient.

Platforms offering more granular visibility could help organizations manage security risks while allowing employees to benefit from emerging AI capabilities.

However, the ultimate effectiveness of these solutions will depend not only on their technical capabilities but also on how thoughtfully businesses implement governance, privacy protections, and employee education.

For organizations navigating the increasingly complex world of enterprise AI, the central challenge may no longer be deciding whether employees should use artificial intelligence, but understanding how they are already using it.

The post Bringing shadow AI into focus with NordLayer AI Scout appeared first on Tech Trends.

As artificial intelligence transforms the way we work, learn and interact with technology, an important question is emerging: should children simply learn how to use increasingly sophisticated digital tools, or should they also understand how to build them?

For Code Ninjas, a coding and STEM education franchise teaching children aged 5–14, the answer lies in encouraging young people to become active creators rather than passive consumers of technology.

Through hands-on programming, robotics and AI activities, the organisation aims to develop not only technical knowledge but also the creativity, problem-solving abilities and confidence that children will need in an increasingly digital world.

Turning coding lessons into real-world achievements

The benefits of practical STEM education were recently demonstrated by a group of Code Ninjas students who, according to the organisation, earned the Coding Award at the 2026 FIRST World Championship in Houston, Texas.

The students impressed judges with their ability to explain the programming, design and functionality behind their robotics model, demonstrating skills extending beyond writing code.

Their coach, Sharmila Sivasankaran, highlighted how much the team had developed throughout the competition.

“These young budding engineers have grown so much this season, from learning to code, build, and most of all, resilience and public speaking.”

The achievement illustrates an important aspect of technology education: learning to program can also provide opportunities to develop communication, collaboration and perseverance.

These skills become particularly valuable when students must explain their work, troubleshoot unexpected problems and collaborate to deliver a functioning project.

Making screen time more productive

For many parents and educators, children’s relationship with technology presents a familiar dilemma.

Digital devices provide opportunities for learning and creativity, but much of children’s screen time involves consuming content rather than actively engaging with the technology behind it.

Code Ninjas approaches this challenge through project-based learning, encouraging children to develop their own video games, experiment with robotics and solve programming challenges.

Its programmes include CREATE, designed for children aged 8–14, and JR, which introduces younger children aged 5–7 to foundational coding concepts through visual and hands-on activities.

Additional AI and robotics academies allow students to explore emerging technologies through structured projects.

This philosophy reflects a broader movement in educational technology towards making technical subjects more accessible through creative experimentation.

As Tech Trends previously explored in Teaching Programming with Creative Hacking, combining coding with activities such as robotics, music and visual arts can help young people develop technological confidence while making programming more engaging.

Preparing children for an AI-driven future

The rapid development of generative AI raises new questions about which technical skills future generations will need.

If AI tools can increasingly generate code, create digital content and automate routine tasks, is learning traditional programming still worthwhile?

Understanding how technology works remains important, even when AI makes certain technical processes easier.

Coding education introduces children to computational thinking, logical reasoning and structured problem-solving. These skills can help them understand how digital systems operate and evaluate the outputs of increasingly capable AI tools.

Rather than simply accepting AI-generated answers, students who understand the underlying principles may be better equipped to question results, identify errors and recognise limitations.

Code Ninjas incorporates AI education into its broader curriculum, introducing children to the technology through practical activities alongside traditional programming and robotics.

The objective is not necessarily to prepare every student for a career in software engineering, but to provide a foundation for navigating a world where digital systems influence almost every industry.

Learning through experimentation

Hands-on STEM activities also provide an alternative to more traditional approaches to teaching technical subjects.

Rather than beginning with abstract concepts, students can learn through experimentation, gradually building their understanding as they create games, develop robots and solve practical challenges.

This approach can make complex subjects more approachable, particularly for younger learners.

The importance of how technical information is presented is also receiving increasing attention in education.

As explored in Tech Trends’ article on reducing cognitive overload in STEM education, educators are experimenting with approaches that help learners engage with difficult concepts without becoming overwhelmed by information.

For children learning to code, breaking challenges into manageable tasks and receiving feedback on their progress can provide opportunities to build understanding incrementally.

Code Ninjas uses a belt-based progression system, inspired by martial arts, allowing students to advance through increasingly complex programming challenges at their own pace.

Its proprietary IMPACT learning platform supports this progression through structured learning activities and feedback.

Building confidence beyond the classroom

Perhaps one of the most interesting aspects of extracurricular STEM education is its potential to develop skills beyond the immediate subject being taught.

Robotics competitions, collaborative coding projects and creative challenges require students to communicate ideas, work together and adapt when things go wrong.

The Code Ninjas team’s reported success at the FIRST World Championship provides an example of how these activities can extend beyond technical proficiency.

Students must not only understand their creations but also explain their decisions and demonstrate how their solutions work.

This connection between creativity and technical learning is not new.

Tech Trends previously examined how storytelling can help children develop digital and creative skills, highlighting the value of engaging young learners through activities that combine technology with imagination and communication.

As AI becomes more deeply integrated into education, opportunities for students to experiment, collaborate and create may become increasingly important.

From technology consumers to creators

The challenge facing educators is no longer simply ensuring that children have access to technology.

It is helping them develop the confidence and understanding to use that technology thoughtfully, creatively and responsibly.

Coding, robotics and AI education can provide opportunities for children to explore how digital systems work while developing broader skills that remain valuable beyond the classroom.

Programmes such as Code Ninjas demonstrate one approach to making these experiences accessible through practical, project-based learning.

And as AI continues to reshape the digital landscape, helping children move from consuming technology to creating with it may be one of the most valuable lessons educators can offer.

The post Helping children become technology creators appeared first on Tech Trends.

Racing simulation specialist Thrustmaster has announced its return as an official partner of the Gran Turismo World Series, unveiling the T-GT III, its fifth officially licensed Gran Turismo steering wheel.

Developed for PlayStation 4 and PlayStation 5, the new racing wheel introduces direct-drive technology, advanced haptic feedback and a load-cell pedal set designed to bring virtual driving closer to the real thing.

The announcement marks another milestone in Thrustmaster’s 16-year collaboration with Polyphony Digital, the developer behind the iconic Gran Turismo franchise.

At the heart of the T-GT III is Thrustmaster’s Direct Axial Drive architecture, designed to deliver more precise and responsive force feedback.

The system produces a constant 5 Nm of torque, with peak output reaching 10 Nm, allowing drivers to experience subtle changes in road surfaces, vehicle handling and racing conditions.

Thrustmaster has also introduced its Harmony technology, which adds high-frequency haptic effects intended to reproduce sensations beyond traditional steering resistance.

Two new features are designed specifically for the Gran Turismo experience:

• GEAR JOLT: Simulates the physical sensation of individual gear changes.
• ENGINE ROAR: Reproduces engine vibrations that respond dynamically to RPM changes.

Together, these technologies aim to make the experience of driving a virtual racing car feel considerably more convincing.

Designed for serious sim racers

The T-GT III package includes a leather-finished steering wheel with four rotary encoders mapped directly to Gran Turismo controls.

It also introduces the first native load-cell pedal set in Thrustmaster’s Gran Turismo racing wheel range, providing braking feedback based on applied pressure rather than pedal travel alone.

This approach is particularly valuable for competitive sim racers, where consistent braking and precise control can make the difference between winning and losing.

Thrustmaster says the system will continue evolving through firmware and software updates, keeping pace with future Gran Turismo 7 developments.

A partnership spanning 16 years

Thrustmaster and Polyphony Digital have collaborated on racing simulation hardware since 2010, producing several generations of officially licensed steering wheels.

Previous milestones include the T500RS GT Edition in 2011, the T300RS GT Edition in 2016 and the original T-GT series in 2017.

The companies also worked together during Thrustmaster’s previous tenure as official hardware partner of the Gran Turismo World Series between 2018 and 2020, as well as the Olympic Esports Series in Singapore in 2023.

Kazunori Yamauchi, producer of the Gran Turismo series, welcomed the renewed partnership:

“We are delighted to welcome them as partners of Gran Turismo World Series.”

For Thrustmaster, the announcement represents an opportunity to build on that history while introducing technologies designed for increasingly sophisticated racing simulations.

Pricing and availability

The Thrustmaster T-GT III bundle will launch on December 3, 2026, with worldwide availability expected before Christmas.

Recommended retail prices are:

• United States: $749.99
• United Kingdom: £649.99
• Europe: €699.99
• Japan: ¥119,000

The launch also coincides with Gran Turismo 7’s upcoming Spec IV update, scheduled for release in two stages during October and December 2026.

As racing simulators continue to blur the boundaries between gaming and motorsport, the T-GT III demonstrates how increasingly sophisticated hardware is helping bring professional-grade driving experiences into the home.

The post Bringing direct-drive technology to Gran Turismo appeared first on Tech Trends.

A new study of seven smart glasses brands reveals extensive app permissions, hidden trackers, and widespread reliance on cloud processing.

As AI-powered smart glasses edge closer to mainstream adoption, their ability to see, hear, and interpret the world around us is raising increasingly uncomfortable questions about privacy.

With Samsung reportedly preparing to launch its first Android XR smart glasses in November, new research from Cybernews suggests that existing manufacturers still have significant work to do when it comes to protecting users’ personal information.

The researchers examined seven smart glasses brands — Meta, Rokid, RayNeo, INMO, Solos, Even Realities, and Halliday — assessing everything from app permissions and tracking technologies to data retention policies and recording indicators.

The findings suggest that privacy risks extend well beyond the possibility of being recorded without consent.

The concerns come as the wearable technology market continues to evolve. As previously explored in TechTrends’ report on the VR and AR device market, manufacturers have long faced challenges in making immersive technology appealing to mainstream consumers. Privacy could become another significant barrier to adoption.

Smart glasses are collecting more than you might think

Among the seven brands examined, Meta stood out for requesting the greatest number of app permissions.

According to the Cybernews analysis, Meta’s companion app requested 70 permissions, including 18 classified as dangerous under Android’s permission system.

These included access to sensitive functions such as audio recording, SMS messages, and external storage.

Although requesting a permission doesn’t necessarily mean an app is misusing it, the sheer number of potential access points highlights the amount of personal information that could be available to smart glasses manufacturers.

Meanwhile, researchers identified six trackers each in the INMO Global and Solos AirGo companion apps.

Rokid was the only app in the study where no trackers were detected.

The cloud privacy problem

Perhaps the most significant finding concerns where AI processing actually happens.

All seven brands examined rely on cloud processing for their AI functionality.

None of the devices analyzed performed core AI tasks, such as voice processing, translation, or image analysis, entirely on the glasses themselves.

This reliance on external infrastructure raises questions about what information leaves the device, where it travels, and how long it remains accessible.

Cloud computing has long played an important role in making immersive technologies more powerful and accessible. As TechTrends previously explored in Scaling Up Immersive Tech With Blockchain, distributing processing workloads beyond individual devices can help overcome hardware limitations.

However, when those workloads involve potentially sensitive personal information, the benefits of cloud processing must be weighed against the associated privacy implications.

For consumers increasingly accustomed to AI assistants embedded in everyday devices, understanding these data flows could become an important consideration when choosing wearable technology.

When the recording light isn’t enough

Smart glasses have already sparked debate over the privacy of people who might be recorded without realizing it.

Recording indicator lights are intended to provide some reassurance, but the Cybernews research identified inconsistencies in how manufacturers handle them.

Only Meta and Rokid were confirmed to respond when their recording indicator lights were covered.

The researchers also found that five of the seven brands failed to specify data retention limits, leaving users with little clarity about how long their information might be stored.

Furthermore, only Meta, Rokid, and Even Realities provided privacy documentation specifically addressing their smart glasses.

Privacy needs to be part of the design

As smart glasses evolve from novelty gadgets into increasingly capable AI-powered wearables, privacy concerns are likely to become harder to ignore.

The technology promises considerable benefits, from real-time translation and hands-free assistance to more accessible ways of interacting with digital information.

Indeed, as explored in our recent article on turning biometric data into immersive VR experiences, the combination of wearable sensors and immersive technology is opening up new possibilities for personalized digital experiences.

But these capabilities also highlight how much increasingly intimate information wearable devices can potentially collect and process.

The challenges are not entirely new. As TechTrends previously reported in its coverage of Microsoft’s HoloLens technology, immersive headsets have long relied on sophisticated combinations of cameras, microphones, and environmental sensors to interpret their surroundings.

As these technologies become smaller, more discreet, and more widely adopted, questions about transparency and consent become increasingly important.

The Cybernews findings underline an important challenge for the industry: making smart glasses genuinely useful without turning them into another source of opaque personal data collection.

For manufacturers hoping to bring AI eyewear into everyday life, transparency around permissions, processing, and data retention may prove just as important as the technology itself.

The post Exposing the hidden privacy risks of AI smart glasses appeared first on Tech Trends.

That’s the idea behind a new integration from Healium, which has partnered with Thought Technology to bring more sophisticated biometric monitoring into immersive virtual reality experiences.

Announced on October 6, 2026, the partnership integrates Thought Technology’s eVu-TPS physiological sensor with Healium’s VR platform, allowing users to experience changes in their biometric data through responsive virtual environments.

Rather than simply displaying information on a smartwatch or dashboard, the technology aims to make physiological signals something users can actually see and experience.

Making biometric data immersive

Most wearable technology presents health information through numbers, graphs, and notifications. Healium takes a different approach.

Its platform uses virtual, mixed, and augmented reality to create environments that respond to physiological changes.

The new eVu-TPS integration expands the system’s capabilities by introducing four biometric measurements:

• Heart rate variability (HRV): Changes in the intervals between heartbeats.
• Blood pulse volume: Information about changes in blood flow.
• Skin conductance: Changes in the skin’s electrical conductivity, often associated with physiological arousal.
• Skin temperature: Another indicator that can contribute to understanding physiological responses.

By incorporating these signals into immersive experiences, Healium hopes to make biofeedback more intuitive and engaging.

Sarah Hill, CEO and Chief Storyteller at Healium, describes the approach as giving biometric data another dimension.

Rather than simply observing physiological measurements, users can enter virtual environments influenced by their own bodies.

Bringing VR biofeedback into healthcare

The integration is particularly relevant to behavioral health and pain management practices.

Clinicians can access additional physiological data during immersive sessions, while patients receive visual feedback that may help them better understand and regulate their responses to stress.

Healthcare applications of immersive technology have been developing for years, with earlier research exploring how virtual reality could improve healthcare experiences.

The technology could also have applications beyond clinical settings, including relaxation, performance preparation, and wellness.

Importantly, the system is designed to complement existing approaches to self-regulation rather than replace established medical treatments.

The eVu-TPS-compatible Healium VR package is available immediately to behavioral health and pain practices in the United States.

Beyond traditional wearables

The announcement reflects an interesting evolution in wearable technology.

For years, connected devices have focused on collecting increasingly detailed information about our bodies.

But collecting data is only part of the challenge. Making that information meaningful—and potentially actionable—is another.

Healium’s approach, which the company calls spatialized biometrics, explores how immersive computing could bridge that gap.

By translating physiological signals into responsive virtual experiences, technologies like this could change how people interact with their own health data.

The development also reflects the growing maturity of enterprise XR applications across healthcare and other industries.

Whether immersive biofeedback ultimately delivers measurable improvements over conventional approaches will depend on further clinical evaluation.

Nevertheless, the combination of biometric sensing and extended reality represents a promising direction for digital health innovation.

The post Turning biometric data into immersive VR experiences appeared first on Tech Trends.