Government
A snapshot of the universe at work: Incredible image shows 'star-making factory' inside a Large Magellanic Cloud
Daycare accused of multimillion-dollar fraud shifts blame for'revealing' mistake above its front door... as kids are suddenly'trucked in' Pilot best friends die after their helicopters collided in mid-air just after they'd eaten breakfast together at local cafe Everyone's getting sacked': An electrifying phone call, spiralling costs and a troubling'transition'... as Harry and Meghan's most loyal aide leaves, insiders tell ALISON BOSHOFF what's really going on behind the scenes I was told my weight gain, facial hair and fatigue were normal. The mob used Marilyn Monroe as bait to blackmail the Kennedys. And when it didn't work she was murdered... in the most obscene way George Clooney, wife Amal and their eight-year-old twins become French citizens despite the actor admitting he's'bad' at speaking the language Blonde-haired teenage girl reveals what she thinks of Elon Musk's'creepy' public lust for her US strikes'terrorist boat' lurking in international waters as dramatic footage shows devastating moment of impact I shed a staggering 100lbs WITHOUT Ozempic: How I conquered my'out of control' eating habits to transform my life with a simple change Grim details of how shark lover's body was identified after she was killed by one of the predators while swimming off California coast Health and wellness expert reveals the fitness trend of 2026... 'Zone Zero exercise will be essential' Fears Anthony Joshua's car crash injuries are worse than first thought: Sources say £100m Tyson Fury mega-fight is in the balance amid potential internal injuries and psychological trauma of seeing close friends killed Joe Rogan slammed for'pretty girl' comment about champion fighter Dakota Ditcheva A Boy Scout vanished in the mountains then stumbled into a police station 12 years later. The tale gripped social media... but then the truth came out Inside the somber birthday of Rob Reiner's heartbroken daughter Romy: Pictured for first time since parents' murders... she seeks solace at the beach with boyfriend and family by her side Promising young graduate, 23, was coaxed into suicide by ChatGPT'friend', distraught parents allege David Muir's stunning $7m lakeside retreat revealed... as locals in cozy town where ABC News star can be himself offer intriguing glimpses into his private life A snapshot of the universe at work: Incredible image shows'star-making factory' inside a Large Magellanic Cloud A new picture from NASA's Hubble Space Telescope has revealed a beautiful'star-making factory' deep in the universe this week. The image focuses in on a piece of space 160,000 light years from Earth in the Large Magellanic Cloud.
Calibrated Multi-Level Quantile Forecasting
Ding, Tiffany, Gibbs, Isaac, Tibshirani, Ryan J.
We present an online method for guaranteeing calibration of quantile forecasts at multiple quantile levels simultaneously. A sequence of $α$-level quantile forecasts is calibrated if the forecasts are larger than the target value at an $α$-fraction of time steps. We introduce a lightweight method called Multi-Level Quantile Tracker (MultiQT) that wraps around any existing point or quantile forecaster to produce corrected forecasts guaranteed to achieve calibration, even against adversarial distribution shifts, while ensuring that the forecasts are ordered -- e.g., the 0.5-level quantile forecast is never larger than the 0.6-level forecast. Furthermore, the method comes with a no-regret guarantee that implies it will not worsen the performance of an existing forecaster, asymptotically, with respect to the quantile loss. In experiments, we find that MultiQT significantly improves the calibration of real forecasters in epidemic and energy forecasting problems.
Deep classifier kriging for probabilistic spatial prediction of air quality index
Chen, Junyu, Nag, Pratik, Judy-Wang, Huixia, Sun, Ying
Accurate spatial interpolation of the air quality index (AQI), computed from concentrations of multiple air pollutants, is essential for regulatory decision-making, yet AQI fields are inherently non-Gaussian and often exhibit complex nonlinear spatial structure. Classical spatial prediction methods such as kriging are linear and rely on Gaussian assumptions, which limits their ability to capture these features and to provide reliable predictive distributions. In this study, we propose \textit{deep classifier kriging} (DCK), a flexible, distribution-free deep learning framework for estimating full predictive distribution functions for univariate and bivariate spatial processes, together with a \textit{data fusion} mechanism that enables modeling of non-collocated bivariate processes and integration of heterogeneous air pollution data sources. Through extensive simulation experiments, we show that DCK consistently outperforms conventional approaches in predictive accuracy and uncertainty quantification. We further apply DCK to probabilistic spatial prediction of AQI by fusing sparse but high-quality station observations with spatially continuous yet biased auxiliary model outputs, yielding spatially resolved predictive distributions that support downstream tasks such as exceedance and extreme-event probability estimation for regulatory risk assessment and policy formulation.
Sampling with Shielded Langevin Monte Carlo Using Navigation Potentials
Zilberstein, Nicolas, Segarra, Santiago, Chamon, Luiz
We introduce shielded Langevin Monte Carlo (LMC), a constrained sampler inspired by navigation functions, capable of sampling from unnormalized target distributions defined over punctured supports. In other words, this approach samples from non-convex spaces defined as convex sets with convex holes. This defines a novel and challenging problem in constrained sampling. To do so, the sampler incorporates a combination of a spatially adaptive temperature and a repulsive drift to ensure that samples remain within the feasible region. Experiments on a 2D Gaussian mixture and multiple-input multiple-output (MIMO) symbol detection showcase the advantages of the proposed shielded LMC in contrast to unconstrained cases.
Zelenskyy denies Russian claim of Ukrainian strike on Putin residence
Could Ukraine hold a presidential election right now? Will Europe use frozen Russian assets to fund war? How can Ukraine rebuild China ties? 'Ukraine is running out of men, money and time' Volodymyr Zelenskyy quickly denied a claim by Moscow that his country's military launched a drone attack on Vladimir Putin's residence in the city of Novgorod. The Ukrainian leader accused Russia of trying to derail peace talks a day after Zelenskyy met with US President Donald Trump.
Baby spider monkeys rescued in Texas
Animal traffickers face up to 20 years in prison and a $250,000 fine. Breakthroughs, discoveries, and DIY tips sent every weekday. It should go without saying, but please don't smuggle spider monkeys. While responding to a human trafficking case earlier this year, United States Border Patrol agents in Laredo, Texas, found two of these tiny primates . The driver failed to yield and fled the scene, leading officers to respond.
Ukraine denies drone attack on Putin's residence
Ukraine denies drone attack on Putin's residence President Volodymyr Zelensky has denied allegations by Russia that Ukraine launched a drone attack on one of President Vladimir Putin's residences. Russia's Foreign Minister Sergei Lavrov claimed Kyiv had launched an attack overnight using 91 long-range unmanned aerial vehicles (UAVs) on Putin's state residence in Russia's northwestern Novgorod region. Russia said it would now review its position in peace negotiations. Zelensky dismissed the claim as typical Russian lies, intended to give the Kremlin an excuse to continue attacks on Ukraine. He said that Russia had previously targeted government buildings in Kyiv.
Ukrainian soldiers target Russian drones with rifles
Could Ukraine hold a presidential election right now? Will Europe use frozen Russian assets to fund war? How can Ukraine rebuild China ties? 'Ukraine is running out of men, money and time' Video released by the Ukrainian military showed soldiers shooting down small Russian drones with their rifles near the small Donetsk village of Kostiantynivka. Russian forces have made steady yet costly gains in the region, claiming on Monday to have captured nearby Dibrova.