This material may not be published, broadcast, rewritten, or redistributed. Quotes displayed in real-time or delayed by at least 15 minutes. Market data provided by Factset . Powered and implemented by FactSet Digital Solutions . Mutual Fund and ETF data provided by LSEG . World's first solar-powered ambulance brings healthcare off-grid The scammer at your doctor's office may already know who you are Shared VPN vs dedicated IP: Which one is right for you? Is cyberbullying hiding in your child's group chat?

Security News This Week: Your Expired Visa Card Could Be'Zombified' to Make Contactless Payments Plus: Apple sends out an "unprecedented" number of spyware warnings, Ukraine hits a Russian ecommerce giant with cyber and drone attacks, and more. As the controversial vehicle surveillance giant Flock Safety continues to expand, WIRED got the code for the company's new AI policing tool and reconstructed the software to show that its capabilities go far beyond reading license plates and tracking vehicles. We also published the story this week of a Rhode Island police officer who was subjected to five internal affairs investigations in less than two years after he publicly questioned his department's use of Flock cameras . Following incidents of high-profile rogue activity by some of its AI agents, OpenAI said this week that it is halting model training runs and overhauling internal safety protocols. The company said that its upcoming Astra model may represent a turning point of "critical" cyber capabilities.

Monitoring apps promise to keep young people safer online, but looking in on kids' phones can backfire. Online safety experts say there's a better way. Pam Wisniewski's digital adolescence showed her the best and the worst of the internet. At 14, she left an abusive home, where she'd been isolated in a fifth-wheel trailer at the end of a seven-mile dirt road. She moved in with her older sister and taught herself to type on AOL Instant Messenger. Online, she sought out the support and the community she'd lacked at home. She also discovered how thin the ice can be. "I sent my address to some guy in New Mexico to send me a mug with my name on it," she recalls. "And then I found a news story like five, 10 years later that he killed somebody." Those experiences set the course of her career.

Sainsbury's pauses AI cameras after shopper ousted Sainsbury's has suspended its use of live facial recognition technology at one of its London branches after a customer was wrongly challenged as a shoplifter and asked to leave. Matt Arnold, 46, was buying items at the East Dulwich store when he was stopped by management at a self-service till. Describing the experience as a terrifying glimpse of the future, he has warned that retail surveillance tech risks humiliating customers and creating a system where staff feel compelled to follow automated alerts without applying human logic. The supermarket said it had apologised to Arnold and claimed the mistake was caused by human error, but critics have called for the technology to be scrapped. The incident happened on 6 August as Arnold - a comedy promoter getting supplies for a stand-up event hosted at the next door Dulwich Hamlet Football Club - was waiting for a staff member to approve an alcohol purchase.

As we climbed the winding road to Bédar, we emerged into a charred and desolate landscape. Molten car parts littered our path and out of the window we saw the whole hillside now coated in a dusty black. At least 13 people, including five believed to be Britons, were killed by Thursday's wildfire in Spain's Almeria province, one of the country's deadliest ever. The toll rose on Sunday after a 93-year-old woman, believed to be British, died of her injuries in hospital. The identities of those killed have not yet been officially confirmed.

Camera, wifi and design updates bring welcome upgrades to Ring's top model in wired or battery flavour The Guardian's journalism is independent. We will earn a commission if you buy something through an affiliate link. R ing's recent revamp of its popular video doorbells with a more modern design is led by the top-of-the-line Video Doorbell Pro 3, which gains much-needed upgrades with a 4K camera and better wifi plus new interesting AI features. The Guardian's journalism is independent. We will earn a commission if you buy something through an affiliate link.

'I found out because I bought a new Amazon Alexa and while setting it up realized this is linked via our family prime account,' the woman shared on Reddit. 'Found in history, 'Alexa play beautiful love songs,' followed by the sound of them having sex.' To find such recordings saved to an Amazon Alexa, open the Alexa app, tap More, go to Alexa Privacy, then select Review Voice History to see recordings by date or device. Users can play back clips, delete individual recordings or delete their entire voice history. If you own a Google Home, open the Google Home app and tap Activity to review recent home events, including camera, doorbell and device activity. To check Assistant recordings, go to your Google Account activity controls and review or delete Google Assistant activity.

Instead of clicking on a bunch of random website links, I was reading an AI summary positioned at the top of my search results and sometimes clicking through to double-check the accuracy of the output. The next evolution of Search that Google is building asks for even less active participation from users. You're really the most involved at the start of the journey, and that's it. You tell the agents what you want to know, and they do the clicking and even calling on your behalf. Rather than you going off on some online adventure, it's the agent that's hoovering up anything it can find and bouncing between different sites.

This material may not be published, broadcast, rewritten, or redistributed. Quotes displayed in real-time or delayed by at least 15 minutes. Market data provided by Factset . Powered and implemented by FactSet Digital Solutions . Mutual Fund and ETF data provided by LSEG .

We develop graph-based methods for semi-supervised learning based on label propagation on a data similarity graph. When data is abundant or arrive in a stream, the problems of computation and data storage arise for any graph-based method. We propose a fast approximate online algorithm that solves for the harmonic solution on an approximate graph. We show, both empirically and theoretically, that good behavior can be achieved by collapsing nearby points into a set of local representative points that minimize distortion. Moreover, we regularize the harmonic solution to achieve better stability properties. We also present graph-based methods for detecting conditional anomalies and apply them to the identification of unusual clinical actions in hospitals. Our hypothesis is that patient-management actions that are unusual with respect to the past patients may be due to errors and that it is worthwhile to raise an alert if such a condition is encountered. Conditional anomaly detection extends standard unconditional anomaly framework but also faces new problems known as fringe and isolated points. We devise novel nonparametric graph-based methods to tackle these problems. Our methods rely on graph connectivity analysis and soft harmonic solution. Finally, we conduct an extensive human evaluation study of our conditional anomaly methods by 15 experts in critical care.