A new dimension of computing power?

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Smartwatches can track your health stats, but they also do a lot of other things you might not always want or need. The $100 Fitbit Air tracker ditches the screens that have become common on people's wrists, leaving behind a tiny puck of health sensors you can often forget you're wearing. You will not, however, forget that Google's new health platform is built around AI.

The Air has no speaker, and there's only one LED on the side to indicate battery level. You can double-tap the tracker to check the level, and that's about the end of on-device features. The vibration motor is only for alarms—it can't sync with notifications on your phone. That makes sense, given there is no screen to tell you what that buzz was all about.

The stock Performance Band is simple, consisting of a smooth polyester yarn with small velcro pads and a metal loop. It's durable but does seem to absorb a bit of moisture. For swimming or heavy workouts, you'll probably want the silicone active band. This one hides the Air puck a bit more effectively, and it looks good in a sporty way.

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This may follow a 19th-century paradox.

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At some point during the fog of 2021 or 2022, I noticed that my son's preferred brand of fruit snacks had switched from including 0.9 ounces per pouch to 0.8 ounces per pouch. Most shrinkflation is meant to fly under the radar, but in this case, I just happened to notice it. It felt bad! It's tangible evidence that your money is not going as far as it did in the very recent past.

A little over a year ago, AMD launched the Radeon RX 9070 for a suggested retail price of $549. This month, it's launching the similarly named Radeon RX 9070 GRE for a suggested retail price of $549. This new card (actually the US launch of a GPU that's been available in China for a year or so) has 85 percent as many GPU cores, 75 percent as much memory, and 66 percent as much memory bandwidth as the regular RX 9070.

We'll evaluate the RX 9070 GRE in the context of the current GPU market, where prices have been edging upward due to the same AI-driven RAM shortages and price hikes that have made PC building and buying such a miserable experience for the last few months. But it's hard not to be a little upset about such a clear example of GPU shrinkflation—the same money for a markedly inferior product.

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Amazon committed to invest more than €10 billion on upgrading its facilities in Europe with next-generation robotics, part of a wider push to modernise and expand its operations network in the continent.

Announced at the company’s Delivering the Future event in London, the technology giant stated it plans to create more jobs across the region, while using robotics to expand ultra-fast delivery options to more international cities and invest in employee upskilling.

Its pledge reflects a broader push to use AI and robotics to support its workforce, taking aim at “repetitive and physically demanding tasks”, freeing up employees to focus on higher skilled roles while customers get better service.

As part of its next-generation robotics development, Amazon introduced Proteus, an upgraded autonomous robot that is able to move items across different sites. Through AI advances, employees can apparently direct Proteus with plain, conversational text-based prompts without the need for technical commands or programming interfaces.

According to Amazon, once an employee instructs Proteus on what needs to be done, the robot figures out the priority, route and timing.

Proteus is designed to take on physically demanding tasks, move heavy carts and cover long distances. It is currently being piloted in Amazon labs, with deployment planned for the first half of 2027.

Through its €10 billion commitment, Amazon added it will expand Vulcan, its first robot with a sense of touch and STARK, a new robotics system that works alongside employees. STARK will be deployed across 15 sites in Europe by 2027.

This week, Nvidia CEO Jensen Huang also talked up the robotics opportunity within industry, as he unveiled work on a new model for academics using hardware from Unitree and Sharpa.

The post Amazon to pump €10B into European robotics appeared first on Mobile World Live.

T-Mobile US unveiled an AI-enhanced network optimisation capability aimed at keeping customers connected during high-density events including at packed stadiums, festival grounds and in post-concert taxi queues.

The mobile operator’s Dynamic CX is built on its self-organising network (SON) platform, which is also used to allocate network resources during natural disasters.

Operators have been using centralised self-organising network (C-SON) tools since 2010. In 2015, machine learning algorithms were introduced and blended with SON algorithms, which led to the first iteration of AI-for-RAN.

It is another feature built on the operator’s nationwide 5G-Advanced network which sits on its standalone 5G architecture.

Dynamic CX’s AI-driven automation adapts to network conditions in near real time, marking a meaningful step beyond traditional SON optimisation, which has historically been more reactive in nature.

The AI-enabled network optimisation capability continuously monitors and tunes network performance.

Dynamic CX scans publicly available event information, schedules and online activity to identify upcoming mass gatherings before they happen, allowing the network to begin preparing capacity adjustments in advance rather than scrambling to react once congestion hits.

Once an event is underway, Dynamic CX shifts into continuous monitoring mode, tracking how demand evolves as crowds move, stream and share throughout venues and surrounding areas.

T-Mobile is positioning the launch ahead of the FIFA World Cup, which starts this month and uses 11 US host cities. It is expected to draw millions of international visitors over several weeks.

CTO John Saw framed Dynamic CX as part of a longer arc of event-readiness investment to improve customer experience.

T-Mobile pointed to broader World Cup operational preparations including coordination with public safety agencies, staged deployable network assets and heightened cybersecurity posture across event-related infrastructure.

The post T-Mobile US turns to AI to tackle event congestion appeared first on Mobile World Live.

Plex is adding new social features to the platform.

As of today, users can make and share "personalized lists on Plex of any movie, show or episode," the company said in an announcement. Later this year, users will be able to import lists from other streaming services and react to other people's lists.

This month, Plex will also launch a community forum that will allow people to "post and comment directly on any movie, show, season, or episode." Later this year, Plex will introduce "Match Scores" based on a viewer's history and past ratings to predict how much they'll like a show or movie, Plex said.

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Wirtgen Group is actively developing automated road construction vehicles as stepping stones for full autonomy using some of the same technology stack as parent company John Deere.

During a recent demonstration of its roadbuilding machinery at the company’s North American headquarters in the US state of Tennessee, company executives outlined the benefits of its specialised heavy machinery for road building.

Demand for roads and infrastructure keeps rising while contractors juggle labour shortages, climbing material costs, tighter project timelines and shorter paving seasons.

In the US alone, the construction industry is expected to need nearly 700,000 additional workers by 2031 just to keep pace with demand.

About 40% of the four million miles of roadways across the US are currently rated in poor or mediocre condition.

“As we talked with our customers, we learned a few things about some of their business challenges, which is simply to do more with less,” said Craig Lamarque, VP and head of digital products at Wirtgen America. “Every day our customers are responsible to ensure the safety of every person on absolutely every job site”.

“And they have to do that with increasingly less skilled and less experienced personnel.”

Lamarque explained customers must complete a greater number of projects on tighter timelines to stay profitable while coping with issues with materials, sustainability pressures, labour shortages, and the need to stay on budget and on schedule.

Wirtgen Group responded by introducing digital tools to help address those challenges.

He said Wirtgen’s digital strategy centres on three pillars: connected support to maximize uptime, job site intelligence to expose inefficiencies and improve decision-making, and smart automation to boost machine performance.

Those capabilities are embedded across its road construction equipment lineup and are supported by hardware and software in collaboration with John Deere.

A legacy built on family names

The Wirtgen Group was a privately held German company before it was acquired by John Deere in 2017.

Earlier in its history, the Wirtgen Group bought asphalt paving company Vogele (in 1996) ahead of purchasing soil and asphalt compaction company Hamm three years later. Vogele was established in 1836, one year prior to John Deere.

Kleemann was acquired in 2006, which expanded Wirtgen’s reach into mineral processing with mobile crushing and screening plants.

The Wirtgen Group bought a 70% stake in Benninghoven in 2014, adding asphalt mixing plants to the ecosystem and enabling Wirtgen to offer the entire cycle of road construction equipment from mixing and paving to milling and recycling.

Wirtgen America was established in 1984 and now includes 300 employees across the Tennessee campus.

“Every one of those names of the brands is a family name, much the same as Deere,” said Wirtgen America president and CEO Jim McEvoy. “From that standpoint, we have a long legacy of being early in these markets, being leaders in these markets and being very innovative in these product spaces.”

Here’s a look at three of the roadbuilding machines and technologies showcased in Tennessee across asphalt milling, paving and compaction.

Wirtgen milling machine
The milling machine removes old asphalt or concrete surfaces while using automation and digital guidance technologies to improve precision, efficiency and performance tracking. It is designed for high-output work on freeways, highways, airports and other major infrastructure projects.

The W210XF is equipped with a 2.5 metre-wide cutter drum which removes asphalt and concrete prior to loading the material into a truck. It uses automation and digital guidance technologies across eight cameras to improve precision, efficiency and machine performance tracking.

“Simple diagnostics, intuitive instructions on the display and backup components built into the machine make it easy to keep going,” Lamarque said.

WPT Milling documents job and machine data for billing and emissions tracking. Smart Level Pro is a fully integrated differential milling system which scans the surface about to be milled.

The process begins with a high-speed survey scan of the existing road surface, either by the customer or a third-party surveyor, without closing the road. The resulting digital model is then georeferenced and logged using GNSS.

After scanning, the road profile is refined to meet specifications, then uploaded to the John Deere Operations Centre and Work Planner, where cutting depths can be checked in advance which saves time compared with milling first and verifying later.

Utilising two John Deere StarFire receivers connected by cellular service, Lamarque said the mill goes to work, “precisely milling the design depth and slope, leaving the best possible surface”.

StarFire GNSS Guidance is Deere’s satellite technology which helps machines maintain highly accurate positioning, alignment and paving guidance throughout the roadbuilding process.

Mill Assist is an automated system on the milling machine that uses real-time machine data to optimise performance, improve efficiency, and reduce fuel consumption and emissions.

Vogele asphalt paver
The asphalt pavers are packed with highly specialised automation, levelling and material handling technologies.

Smart Pave is an advanced digital control and automation system developed by Vogele for its asphalt road pavers. AutoTrac technology helps the paver hold its direction of travel and paving width with precision.  

RoadScan is Vogele’s proprietary, non-contact thermal imaging and temperature measurement system mounted directly to the asphalt paver.

Hamm asphalt roller
The double-drum asphalt roller machine compacts fresh asphalt to the target density required for long term durability, using real-time density monitoring and intelligent compaction technology to hit the mark.

It focuses on preventing over-compaction, maximising operator efficiency and providing proof of compaction quality to contractors, state and federal authorities.

The roller uses a combination of vibration and oscillation to compact material to the desired density. Smart Compact Pro and Track Assist help road crews compact more efficiently, cost-effectively and safely while also meeting intelligent compaction specifications.

Intelligent compaction is data collection of the roller using GPS compact mapping, temperature sensors which map and report asphalt surface temperature and an accelerometer sensor that reports stiffness.

From automation to autonomy
Jason Ambroson, VP and managing director of Wirtgen International, explained running the same technologies, connectivity and data sensors across the various roadbuilding machines enables customers to be more productive using fewer employees and fewer resources.

“We are moving from automation to autonomy,” he said.

That trajectory of connecting machines, data and operators into a single intelligent system was what the Tennessee demonstration was ultimately built to show.

The post Feature: Wirtgen Group paves the way for autonomous road building appeared first on Mobile World Live.

When it comes to rockets, bell-shaped engines are the norm. But they’re not the most efficient shape. Engineers have relied on this design only because it avoids a known overheating risk faced by a more efficient engine. Now, though, three 17-year-olds have redesigned the nozzle of the more efficient aerospike engine to better manage heat.

They’re hoping that one day their new tech might literally shoot for the stars.

Devin Wanchoo, Michael Obeng and Mazon Ben Chouikha attend Governor’s School at Innovation Park in Manassas, Va. Their new work began as a way to satisfy a class assignment. “We wanted to do something in aerospace. We wanted to do something involving biomimicry. And then we wanted to do something that no one has done before,” says Michael.

Those motivations led them to refine a better rocket system.

During their research, the young engineers learned that bell-shaped rocket engines become less powerful the higher they ascend. For decades, engineers have experimented with an alternative that would avoid this limitation: the aerospike engine.

Unfortunately, this design has its own big limitation: It shoots super-hot exhaust gases from the engine right up against its spike structure. Eventually, that heat can “cause the spike body to melt and crack under thermal stress,” Devin says.

Their work won these teens a spot here at the 2026 Regeneron International Science and Engineering Fair, or ISEF. The event is a program of the Society for Science (which also publishes this magazine). The young aerospike researchers were among 1,725 students — from 65 nations or territories — who competed at the 76th annual ISEF. These participants shared nearly $7 million in prizes.

A guiding spike

Imagine a rocket launch. Flames burst downward from the engines and propel the rocket upward. Initially, the flames form a column.

If you were to fly alongside the rocket as it ascends, you’d eventually see the shape of that exhaust change. The column of gases would start to balloon outward.

During liftoff, high atmospheric pressure initially forces the gases into that column shape. But as the rocket climbs, the air pressure weakens — and so does control of the exhaust gases. Now they spread out, reducing lift.

The thrust must go down for the rocket to go up. But higher up, as the gases balloon out, bell-shaped engines “can lose up to 30 percent of their efficiency,” says Devin.

Engineers have been looking to overcome that. And the aerospike engine is one possible solution.

“Unlike a bell nozzle — which needs that giant encasing structure — the aerospike just has its central spike,” Devin explains. It will deliver a strong, reliable upward thrust as long as you have some way “to force gases [down] along the spike wall.”

Those gases flow along the spike’s surface. The spike acts as a guide to direct the gases down so they can’t spread out. But that guiding spike introduces its own problem.

Coming from the engine, exhaust gases “are extremely hot,” notes Michael. The spike’s tip takes a pummeling from those gases. Their heat is “essentially attacking it, attacking it, attacking it,” he says.

What’s more, those gases tend to recirculate along the spike. This helps counter the air pressure’s attempt to weaken the downward flow of the gases, Michael says. Unfortunately, he adds, it also increases the heat.

So what makes this engine so good at maintaining a strong downward flow of exhaust gases, Devin points out, “is the same thing that causes that very aggressive heating of the spike body.”

Typical cooling methods just haven’t been good enough to spare the spike.

Nature-inspired

To counter that, the trio looked for inspiration in nature. Living things have evolved different ways to cool themselves. The team considered plant veins, insect exoskeletons, shark tissues and more. Then the trio created ICARUS, a machine-learning algorithm, and used it to test bio-based cooling strategies.

ICARUS, says Devin, is “probably the most novel part” of their project. It’s a simpler, heat-driven version of tools used by the aerospace industry. And it does more than just test ideas. “We built it on a machine-learning layer that was able to suggest [spike shapes] to try,” Devin says.

The young engineers started with shapes suggested by nature. Then they used ICARUS to optimize those designs. For instance, says Mazon, his team might suggest a certain surface pattern or feature. Then ICARUS “might change the width of it [or] the depth of it” to optimize the spike’s heat resistance.

The approach worked. Heat flux refers to how fast heat moves through a material. “We were able to reduce temperatures and heat flux by up to 40 percent,” Devin says.

Human skin inspired their most successful design, Devin says. Pores in our skin release sweat. As it evaporates, it wicks away heat. Mimicking this trick helped “bleed propellant to fight back against that heat creep,” says Devin.

Validating ICARUS

Using what they learned from ICARUS, the team members 3-D printed models of the six most promising designs. Then they put the models under a heat gun and measured how long each took to reach 90° and 110° Celsius (194° and 230° Fahrenheit), says Devin. They also tracked at what temps the models began to warp.

Then they built a copper prototype of their best-performing model. In the final stage of testing, Michael says, they became the first high school students to ever do a cold-flow test on such an engine. A cold-flow test, explains Devin, is “just testing that your engine can pressurize properly and that propellants are flowing.”

This test was “pretty cool,” he says. “We got to verify our ICARUS predictions.”

ICARUS can also offer design tips beyond rocketry, Mazon says. For instance, the surface patterns designed to manage heat could even be applied to homes. “If you were to put [these patterns] on wood and you built the house, then it’s very likely to be safer” in terms of withstanding wildfires, he says.

For their work, Devin, Michael and Mazon took home fourth place — and $600 — in ISEF’s Engineering Technology: Statics and Dynamics division.

Microsoft's Build developer conference kicked off today, and as with almost everything the company has done in the last few years, Microsoft's opening keynote focused overwhelmingly on AI and other closely related technologies. There's Microsoft Scout, an OpenClaw-based "Autopilot" agent that can hook into Microsoft 365 data to perform tasks for users; several new AI models; an expanded preview of "Codename MDASH," which is a "multi-model agentic scanning system" meant to detect and fix software vulnerabilities.

A few of those announcements stood out to us as particularly interesting, either for esoteric technical reasons or because they seem like they may have some utility for those who aren't spending their every waking moment using generative AI tools. (Microsoft's recent efforts to make its flagship operating system faster, more reliable, more useful, and less annoying didn't really come up, but there have been plenty of other announcements on that front lately.)

On the hardware front, we didn't get any updates for existing Surface devices (not counting yesterday's Surface Laptop Ultra announcement), but we did get something new: the Surface RTX Spark Dev Box is "a compact developer PC" built around Nvidia's new RTX Spark chip with up to 128GB of built-in memory.

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Microsoft has been deeply committed to the growth of generative AI technology in recent years through its now-fragmented partnership with OpenAI. At Build 2026, the company remains all-in on AI, and it's looking toward the future with a new software platform. The new Android-based OS is called Project Solara, and Microsoft says Solara is designed to run agents instead of apps.

Project Solara is not something you'll have to worry about killing your apps anytime soon. It's limited to a few pieces of concept hardware and software that are awaiting the magical agents of the future. The vision is for Solara to run on myriad specialized devices with interfaces generated on the spot, and it's all powered by the explosive intelligence of models that Microsoft and others insist will soon exist.

According to Microsoft, Solara is a chip-to-cloud platform intended to free agents from reliance on single interfaces. Much of Microsoft's messaging around AI is speculative and self-serving, but the company rightly points out that new computing form factors have always required specialization, and that process is complex and expensive. The shift to mobile computing, for example, tripped Microsoft up multiple times as it fell behind on app availability, security, and long-term support.

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We're expecting Android 17 to begin rolling out later this month, but first, Google has a batch of updates for the wider Android device ecosystem. As usual, some of the new features are limited to specific devices, and others require using Google's apps. But if you don't mind the latter, you can get automated protection from the growing threat of deepfake phone scams.

According to Google, "impersonation fraud" is one of the most common types of financial scams. The FTC tracked almost $3 billion in losses from such scams during 2024, and the improvements in AI voice cloning tools more recently are making the schemes easier to pull off. The voice models are becoming so capable that it can be difficult to identify a fake caller even when an AI is imitating someone you talk to every day.

Google's solution is an expansion of the system it debuted last month for verified financial calls. Now, a similar feature will work with anyone in your contacts. Many of the most effective deepfake scams involve spoofing a contact's number, which makes the call look more legitimate when your phone lights up. Victims of these scams are then greeted by an accurate re-creation of the person's voice spinning a yarn that involves an urgent need for cash.

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Orange deepened its push into the travel eSIM market through a global distribution deal with online travel agency Trip.com, offering mobile connectivity at the point of travel booking as demand for roaming services grows.

Orange Travel, an Orange Group subsidiary, stated the partnership will enable Trip.com users to buy Orange Travel eSIM packages directly on the agency platform, allowing customers to arrange connectivity before departure, pay in local currency and activate the eSIM upon arrival.

Trip.com customers will be able to buy packages covering France, Italy, Spain, the UK and Switzerland, with the partners aiming to target key European tourist markets. The pair noted the region accounts for more than 50 per cent of global tourist arrivals, led by France and Spain.

The packages on offer include calls, texts and data across 20GB, 50GB and 100GB options, with validity periods of ranging from a week to 30 days. Prices start at €8.99.

Orange Travel highlighted its eSIM services are supported by the Orange Group’s network reach, including connectivity in more than 200 destinations and 700 roaming agreements worldwide.

Orange Travel CEO Frederic Blehaut said the agreement demonstrates its “commitment to accelerating our growth in Asia and internationally through strategic partnerships”, adding the subsidiary offers “European eSIMs with a recognised quality of service backed by the Orange Group’s know-how”.

Chase Liu, general manager of international attractions and tours business at Trip.com Group, added: “With tailor-made offers and packages easily accessible on our platform, our customers can enjoy enhanced connectivity and greater convenience when they travel in this region.”

The post Orange Travel takes eSIM push to Trip.com appeared first on Mobile World Live.