Record cold for 235 million Americans starting in just HOURS as polar vortex brings'most extreme cold on Earth' Is this the END of Ozempic? Nashville neighbors can see what's REALLY going on with Nicole Kidman. Even I was once overweight. So trust me, this 30 DAY detox plan will get you thin WITHOUT Ozempic... but if you want to stay skinny, you'll have to make one major sacrifice: JILLIAN MICHAELS Mom who spent 10 years'gentle parenting' admits it was a mistake: 'My kids are anxious, insecure and entitled' Worrying side-effect of creatine you aren't being warned about: Cheap supplement is hailed as a'miracle' - but here's how to tell if YOUR brand is doing more harm than good Amazon warns 300 million shoppers of Cyber Monday scam... and how to avoid it'Murder for hire' housewife begs Bahamas judge to free her from GPS shackles so she can start a shocking new career Trump suffers fresh legal blow as Alina Habba's disqualification is upheld by appeals court Trump sparks fury as he frees $1.6 BILLION fraudster just days into seven-year-sentence I was drinking 130 units of alcohol a week and knew it was time to cut down. Then, I discovered this no-effort miracle solution.

Choosing what pictures to include in your online dating profile is a big deal. Most people want to present a decent mix of flattering, fun and relaxed photos that showcase the best of you. But there are some in particular that should be avoided at all costs, experts say. A team from dating app Wisp asked 1,200 people for their biggest photo red flags that make them swipe left. The survey revealed 83 per cent of singles judge profiles on photos before reading a single word of your personal bio.

Sign up for the Slatest to get the most insightful analysis, criticism, and advice out there, delivered to your inbox daily. I am a proud late adopter of new technology. I had a StarTAC well into the 21st century, fearing the limitless access to digital information and services that smartphones would bring and the way they would rob us of our time and attention and humanity. Though this realization offers little solace as I stare into my phone hundreds of hours a day.) I traveled with my books of CDs and my Discman well into the era when Transportation Security Administration agents would look at them with curiosity and suspicion.

We present an advance in wearable technology: a mobile-optimized, real-time, ultra-low-power event camera system that enables natural hand gesture control for smart glasses, dramatically improving user experience. While hand gesture recognition in computer vision has advanced significantly, critical challenges remain in creating systems that are intuitive, adaptable across diverse users and environments, and energy-efficient enough for practical wearable applications. Our approach tackles these challenges through carefully selected microgestures: lateral thumb swipes across the index finger (in both directions) and a double pinch between thumb and index fingertips. These human-centered interactions leverage natural hand movements, ensuring intuitive usability without requiring users to learn complex command sequences. To overcome variability in users and environments, we developed a novel simulation methodology that enables comprehensive domain sampling without extensive real-world data collection. Our power-optimised architecture maintains exceptional performance, achieving F1 scores above 80\% on benchmark datasets featuring diverse users and environments. The resulting models operate at just 6-8 mW when exploiting the Qualcomm Snapdragon Hexagon DSP, with our 2-channel implementation exceeding 70\% F1 accuracy and our 6-channel model surpassing 80\% F1 accuracy across all gesture classes in user studies. These results were achieved using only synthetic training data. This improves on the state-of-the-art for F1 accuracy by 20\% with a power reduction 25x when using DSP. This advancement brings deploying ultra-low-power vision systems in wearable devices closer and opens new possibilities for seamless human-computer interaction.

Dating apps promised to make finding love easier. For many users, though, they've just made it more exhausting. Swiping, ghosting, and endless conversations that rarely materialize into real-life dates have left people burned out and disillusioned. A cultural shift is underway as singles ditch the apps in favor of real-world connections. WIRED went looking for love and found that modern romance is a web of scams, AI boyfriends, and Tinder burnout.

The recent rollout of iOS 18.2 finally brings many of the promised Apple Intelligence features, like Genmoji and Image Playground. One such long-awaited tool is Visual Intelligence, a feature currently reserved for the iPhone 16 Pro and Pro Max that was first introduced at the company's September event. Visual Intelligence is Apple's answer to Google Lens. It leverages the camera system and AI to analyze images in real-time and provide useful information. This can help people learn more about the world around them and is particularly handy for shopping, looking up details about a restaurant or business, translating written text, summarizing text or having something read aloud.

Autonomous agents have become increasingly important for interacting with the real world. Android agents, in particular, have been recently a frequently-mentioned interaction method. However, existing studies for training and evaluating Android agents lack systematic research on both open-source and closed-source models. In this work, we propose AndroidLab as a systematic Android agent framework. It includes an operation environment with different modalities, action space, and a reproducible benchmark. It supports both large language models (LLMs) and multimodal models (LMMs) in the same action space. AndroidLab benchmark includes predefined Android virtual devices and 138 tasks across nine apps built on these devices. By using the AndroidLab environment, we develop an Android Instruction dataset and train six open-source LLMs and LMMs, lifting the average success rates from 4.59% to 21.50% for LLMs and from 1.93% to 13.28% for LMMs. AndroidLab is open-sourced and publicly available at https://github.com/THUDM/Android-Lab.

"Designed to be deleted" is the tagline of one of the UK's most popular dating apps. Hinge promises that it is "the dating app for people who want to get off dating apps" – the place to find lasting love. But critics say modern dating is in crisis. They claim that dating apps, which have been downloaded hundreds of millions of times worldwide, are "exploitative" and are designed not to be deleted but to be addictive, to retain users in order to create revenue. An Observer investigation has found that dating apps are increasingly pushing users to buy extras that have been likened to "gambling products" and can cost hundreds of pounds a year.

Modern dating can be severed into two eras: before the swipe, and after. When Tinder and other dating apps took off in the early 2010s, they unleashed a way to more easily access potential love interests than ever before. By 2017, about five years after Tinder introduced the swipe, more than a quarter of different-sex couples were meeting on apps and dating websites, according to a study led by the Stanford sociologist Michael Rosenfeld. Suddenly, saying "We met on Hinge" was as normal as saying "We met in college" or "We met through a friend." The share of couples meeting on apps has remained pretty consistent in the years since his 2017 study, Rosenfeld told me.

On Valentine's Day this year, a lawsuit was brought by six people in the US against Match Group, the company behind dating apps such as Tinder, Hinge and Match. The suit blames dating apps for game-like tactics that, they say, contribute to addictive behaviour, making miserable swiping addicts of us all. Match Group denies this, calling the claims "ridiculous". But anyone who, like me, has spent years on and off the apps knows that there are clear parallels between love algorithms and online gaming – only with dating apps, we are the commodities. Addiction may have been baked into these apps from creation.