Winter Storm Fern death toll climbs to 34 after brutal freeze batters the US... and meteorologists warn even colder weather is on the way Top lawyer, event planner and pilot identified as three of six killed in private jet crash while taking'girls' trip' to Paris Insidious secret life of promiscuous neurosurgeon found dead in his $2.5m mansion'He has no loyalty': The bitter secret fallout between One Direction star Harry Styles and his former bandmates - as insiders reveal for the first time what really happened at Liam Payne's funeral Nicola Peltz was raised by billionaire'bully' Nelson who became the most feared investor on Wall Street before starting his own dynasty with his 10 children Is Angelina Jolie quitting America? Private struggles emerge... as actress weighs major lifestyle that threatens to rupture her family Influencer shares haunting 911 call after crash that killed her son known for viral'Okay Baby' video Matthew Stafford's wife Kelly shares emotional moment NFL star returned home after heartbreaking playoff defeat Martha Stewart breaks political silence after being urged by teenage granddaughter: 'Things must change' Insiders reveal the REAL misstep that got Kristi Noem humiliatingly ditched by Trump... and the weak excuse she's peddling to try and save herself Defiant Trump dismisses Alzheimer's fears as he struggles to recall name of disease in interview How AI cops will be used to patrol Britain's streets: From live facial recognition to virtual chatbots - the Orwellian technologies that are set to tackle crime Britain's police forces are getting a high-tech upgrade, as artificial intelligence ( AI) tools are rolled out to tackle crime . As part of major police reforms, Home Secretary Shabana Mahmood has announced that over £140 million will be invested in new technology . Police will be given access to facial recognition vans, tools for rapid CCTV analysis, and a suite of digital forensics tools. How the public interacts with the police is also set to change, as 999 control rooms use'AI-assisted operator services' to filter'non-policing calls'.

Winter Storm Fern death toll climbs to 34 after brutal freeze batters the US... and meteorologists warn even colder weather is on the way Top lawyer, event planner and pilot identified as three of six killed in private jet crash while taking'girls' trip' to Paris Insidious secret life of promiscuous neurosurgeon found dead in his $2.5m mansion'He has no loyalty': The bitter secret fallout between One Direction star Harry Styles and his former bandmates - as insiders reveal for the first time what really happened at Liam Payne's funeral Nicola Peltz was raised by billionaire'bully' Nelson who became the most feared investor on Wall Street before starting his own dynasty with his 10 children Is Angelina Jolie quitting America? Private struggles emerge... as actress weighs major lifestyle that threatens to rupture her family Influencer shares haunting 911 call after crash that killed her son known for viral'Okay Baby' video Matthew Stafford's wife Kelly shares emotional moment NFL star returned home after heartbreaking playoff defeat Martha Stewart breaks political silence after being urged by teenage granddaughter: 'Things must change' Insiders reveal the REAL misstep that got Kristi Noem humiliatingly ditched by Trump... and the weak excuse she's peddling to try and save herself Defiant Trump dismisses Alzheimer's fears as he struggles to recall name of disease in interview READ MORE: Evolution debate reignited after'missing human link' is found A new AI app is helping to rewrite the evolution of flight. The app, developed by researchers from the University of Edinburgh, has been used to analyse footprints made by dinosaurs more than 200 million years ago. The results show that several tracks share'uncanny' features with both extinct and modern birds. According to the researchers, this suggests that birds could have originated 60 million years earlier than we thought.

Empirical investigations into unintended model behavior often show that the algorithm is predicting another outcome than what was intended. These exposes highlight the need to identify when algorithms predict unintended quantities - ideally before deploying them into consequential settings. We propose a falsification framework that provides a principled statistical test for discriminant validity: the requirement that an algorithm predict intended outcomes better than impermissible ones. Drawing on falsification practices from causal inference, econometrics, and psychometrics, our framework compares calibrated prediction losses across outcomes to assess whether the algorithm exhibits discriminant validity with respect to a specified impermissible proxy. In settings where the target outcome is difficult to observe, multiple permissible proxy outcomes may be available; our framework accommodates both this setting and the case with a single permissible proxy. Throughout we use nonparametric hypothesis testing methods that make minimal assumptions on the data-generating process. We illustrate the method in an admissions setting, where the framework establishes discriminant validity with respect to gender but fails to establish discriminant validity with respect to race. This demonstrates how falsification can serve as an early validity check, prior to fairness or robustness analyses. We also provide analysis in a criminal justice setting, where we highlight the limitations of our framework and emphasize the need for complementary approaches to assess other aspects of construct validity and external validity.

Boosting has garnered significant interest across both machine learning and statistical communities. Traditional boosting algorithms, designed for fully observed random samples, often struggle with real-world problems, particularly with interval-censored data. This type of data is common in survival analysis and time-to-event studies where exact event times are unobserved but fall within known intervals. Effective handling of such data is crucial in fields like medical research, reliability engineering, and social sciences. In this work, we introduce novel nonparametric boosting methods for regression and classification tasks with interval-censored data. Our approaches leverage censoring unbiased transformations to adjust loss functions and impute transformed responses while maintaining model accuracy. Implemented via functional gradient descent, these methods ensure scalability and adaptability. We rigorously establish their theoretical properties, including optimality and mean squared error trade-offs. Our proposed methods not only offer a robust framework for enhancing predictive accuracy in domains where interval-censored data are common but also complement existing work, expanding the applicability of existing boosting techniques. Empirical studies demonstrate robust performance across various finite-sample scenarios, highlighting the practical utility of our approaches.

Apple could unveil Gemini-powered Siri in Feb. Plaintiffs claimed they saw ads based on conversations Google Assistant shouldn't have heard. Google has agreed to a $68 million settlement regarding claims that its voice assistant inappropriately spied on smartphone users. Plaintiffs claimed that the company's Google Assistant platform began listening to them after it misheard conversations that sounded like its wake words. The suit argued that private information that Google Assistant shouldn't have heard was then used to deliver those individuals targeted ads. The preliminary class action settlement was filed on Friday and now awaits approval from U.S. District Judge Beth Labson Freeman.

The technical failure coincided with TikTok's ownership transition, leading users to question whether videos criticizing ICE raids in Minnesota were being intentionally censored. TikTok is currently experiencing a widespread service outage in the US, causing disruptions for millions of users only a few days after the company officially transferred control of its American business to a group of majority-US investors . The technical issues led many TikTok users to speculate about whether the app's new owners were intentionally suppressing videos about political topics, particularly content related to recent federal immigration operations in Minnesota. TikTok has denied the allegations, attributing the problems to a power outage. TikTok users began reporting on Sunday that they were having trouble uploading videos to the app as well as viewing content that had already been posted on the platform.

Researchers are urging beachgoers to report the endangered, tagged sea snails. Breakthroughs, discoveries, and DIY tips sent six days a week. The black abalone mollusk () is a delicacy in many regions of the world, with fancy restaurant diners doling out as much as $40 per 6 to 8 ounce serving . Although the sea snails are often grown in oyster farms, they are now considered critically endangered due to overdemand and black market harvesting. But while a woman's recent abalone discovery along a beach in Australia is attracting worldwide attention, it's not due to any illegal activity or a lucrative payout.

Google has agreed to pay $68m (£51m) to settle a lawsuit claiming it secretly listened to people's private conversations through their phones. Users accused Google Assistant - a virtual assistant present on many Android devices - of recording private conversations after it was inadvertently triggered on their devices. They claimed the recordings were then shared with advertisers in order to send them targeted advertising. The BBC has contacted Google for comment. But in a filing seeking to settle the case, it denied wrongdoing and said it was seeking to avoid litigation.

Apple could unveil Gemini-powered Siri in Feb. The DOT's top lawyer said they'don't need the perfect rule' and that they just'want good enough.' The Trump administration is planning on using Google Gemini to draft important federal regulations, . This is starting with the Department of Transportation, according to interviews with agency staffers. Regulations created by the DOT help keep us safe when traveling.

Confirming which users are kids is politically fraught and a technical nightmare. Here's what moves from OpenAI and the FTC tell us. How do tech companies check if their users are kids? This question has taken on new urgency recently thanks to growing concern about the dangers that can arise when children talk to AI chatbots. For years Big Tech asked for birthdays (that one could make up) to avoid violating child privacy laws, but they weren't required to moderate content accordingly. Two developments over the last week show how quickly things are changing in the US and how this issue is becoming a new battleground, even among parents and child-safety advocates.