Respiration waveforms are increasingly recognized as important biomarkers, offering insights beyond simple respiration rates, such as detecting breathing irregularities for disease diagnosis or monitoring breath patterns to guide rehabilitation training. Previous works in wireless respiration monitoring have primarily focused on estimating respiration rate, where the breath waveforms are often generated as a by-product. As a result, issues such as waveform deformation and inversion have largely been overlooked, reducing the signal's utility for applications requiring breathing waveforms. To address this problem, we present a novel approach, MobiVital, that improves the quality of respiration waveforms obtained from ultra-wideband (UWB) radar data. MobiVital combines a self-supervised autoregressive model for breathing waveform extraction with a biology-informed algorithm to detect and correct waveform inversions. To encourage reproducible research efforts for developing wireless vital signal monitoring systems, we also release a 12-person, 24-hour UWB radar vital signal dataset, with time-synchronized ground truth obtained from wearable sensors. Our results show that the respiration waveforms produced by our system exhibit a 7-34% increase in fidelity to the ground truth compared to the baselines and can benefit downstream tasks such as respiration rate estimation.

AirPods are arguably Apple's most popular post-iPhone product, and it sounds like the company has plans to make them even more essential. Bloomberg reports that Apple is adding a live-translate feature to AirPods later this year as part of an upcoming software update. The feature sounds like it would work in a similar way to the translation feature on the Pixel Buds, only without the need to ask Google Assistant or in this case, Siri, to start listening for a specific language first. Apple's feature would reportedly automatically detect that something other than your native language is being spoken, and start converting what you're hearing into a language you understand. Pixel Buds have had live-translation since 2020, one of the few abilities that makes Google's earbuds superior to Apple's.

As you know, your Apple Watch SE is not new. The second generation came out in September 2022 alongside the Series 8 and the first iteration of the Ultra. You've given the iPhone, all models of the iPad, AirPods, MacBooks and both the flagship and premium smartwatches updates since then -- but not the budget smartwatch. Last month, my editors asked me to see how the Watch SE stacks up in 2025 and I was happy to oblige. I love getting my hands on novel tech, analyzing, evaluating and experiencing a device (then giving it back when I'm done so I don't have to accumulate more stuff).

Last week, deep in the heart of Mobile World Congress, in a remarkably refined, albeit temporary, meeting space, I couldn't help but reflect on how far Google's Android ecosystem had come. Five short years ago, Android's mission was focused on personalized privacy controls and smart home integration. Also: Best of MWC 2025: 10 most impressive products that you might've missed Now, amid towering Android statues, Gemini balloons, and miniature figures rappelling from bookshelves, the narrative had shifted decisively toward integrating AI-powered experiences into almost every aspect of the mobile experience. At the center of this evolution sits Sameer Samat, Google's Head of Android, who graciously carved out time during the conference chaos to discuss Gemini Live's new real-time video and screen-sharing capabilities -- features powered by DeepMind's Project Astra -- and what they reveal about Android's AI-driven future. Samat's enthusiasm for Gemini Live's new features was palpable from the moment we began discussing the updates, even if he first praised his team's measured marketing of Circle to Search last year.

Modern Federated Learning (FL) has become increasingly essential for handling highly heterogeneous mobile devices. Current approaches adopt a partial model aggregation paradigm that leads to sub-optimal model accuracy and higher training overhead. In this paper, we challenge the prevailing notion of partial-model aggregation and propose a novel "full-weight aggregation" method named Moss, which aggregates all weights within heterogeneous models to preserve comprehensive knowledge. Evaluation across various applications demonstrates that Moss significantly accelerates training, reduces on-device training time and energy consumption, enhances accuracy, and minimizes network bandwidth utilization when compared to state-of-the-art baselines.

But if you use Google Maps, you might want to check your app is working properly. A bizarre software bug has wiped out years of users' search history with no warning. Hundreds of concerned users have taken to Reddit to share their confusion, with one posting: 'Every single day for the last 3 years just disappeared.' Another replied: 'I'm panicking, I have the same issue.' And one vented: 'Almost 10 years and countless international and domestic timelines gone.

SHOPPING – Contains affiliated content. Products featured in this Shopping Finder article are selected by our shopping writers. If you make a purchase using links on this page, Dailymail.co.uk will earn an affiliate commission. After weeks of rumours and speculation, Apple finally unveiled its latest product in the iPad lineup last week - the iPad Air. The 11-inch and 13-inch iPads come in four stunning colours - blue, purple, starlight, and space gray - with 128GB, 256GB, 512GB, and 1TB configurations.

Currently, depression treatment relies on closely monitoring patients response to treatment and adjusting the treatment as needed. Using self-reported or physician-administrated questionnaires to monitor treatment response is, however, burdensome, costly and suffers from recall bias. In this paper, we explore using location sensory data collected passively on smartphones to predict treatment outcome. To address heterogeneous data collection on Android and iOS phones, the two predominant smartphone platforms, we explore using domain adaptation techniques to map their data to a common feature space, and then use the data jointly to train machine learning models. Our results show that this domain adaptation approach can lead to significantly better prediction than that with no domain adaptation. In addition, our results show that using location features and baseline self-reported questionnaire score can lead to F1 score up to 0.67, comparable to that obtained using periodic self-reported questionnaires, indicating that using location data is a promising direction for predicting depression treatment outcome.

Google will have to break up its business, the Justice Department said in a filing, upholding the previous administration's proposal after a federal judge ruled last year that the company illegally abused a monopoly over the search industry. As The Washington Post and The New York Times have reported, the Justice Department reiterated in a new filing that Google will have to sell the Chrome browser. When the DOJ argued for its sale last year, it said that selling Chrome "will permanently stop Google's control of this critical search access point and allow rival search engines the ability to access the browser that for many users is a gateway to the internet." The Justice Department also kept a Biden-era proposal that seeks to ban Google from paying companies like Apple, other smartphone manufacturers and Mozilla to make its search engine the default on their phones and browsers. It did remove a previous proposal that would compel Google to sell its stakes in AI startups, however, after Anthropic told the government that it needs the company's money to continue operating. Instead of banning AI investments altogether, the government wants to require the company to notify federal and state officials before making investments in artificial intelligence.

Whether it's a cheeky wink or a grinning cowboy, it might seem like there is already an emoji for every possible situation. But amazingly, there are now even more designs on the way. Apple has revealed eight new emojis that are officially coming to iPhones as part of the iOS 18.4 update. While they are only available in'beta' for now, these new symbols should be rolling out to everyone when the full update is released in late March or early April. In the update, users will be able to send a colourful fingerprint, bright purple splat, or the flag of the island of Sark.