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.