You're viewing the US edition You can switch to the UK or AU homepage at any time using this menu. On 9/11, as America was under attack, the order came: Get every goddamn plane out of the sky. Thirty-eight landed at an obscure airport in Newfoundland. What followed was humanity at its best... Prince Harry announces string of pseudo-royal engagements in the UK and the US as he and Meghan hit back again at King for calling them'private citizens', saying it's'unrealistic' Lindsay Clancy juror reveals how lone holdout made'no sense' and lectured others about'respect' while refusing to give reasons for decision Karmelo Anthony's sick fantasies about girlfriend revealed in trove of texts you weren't meant to see: Sexualized racism, sinister warnings and'weirdo checklist' Harry and Meghan have only been back for two weeks and their return is already a pure farce. Trump calls himself the'greatest president in history' as he leads fawning crowd in rambling pledge... while threatening that Americans will go to HELL if they don't vote Republican It almost feels sacrilegious to write this: MAUREEN CALLAHAN's unobstructed view of 9/11, the phone call she'll never forget... and horrors only New Yorkers know Bill Maher's touching tribute to vivacious pundit who died on hijacked 9/11 flight while en route to his show Could AI really kill us?

You're viewing the US edition You can switch to the UK or AU homepage at any time using this menu. On 9/11, as America was under attack, the order came: Get every goddamn plane out of the sky. Thirty-eight landed at an obscure airport in Newfoundland. What followed was humanity at its best... Prince Harry announces string of pseudo-royal engagements in the UK and the US as he and Meghan hit back again at King for calling them'private citizens', saying it's'unrealistic' Lindsay Clancy juror reveals how lone holdout made'no sense' and lectured others about'respect' while refusing to give reasons for decision Karmelo Anthony's sick fantasies about girlfriend revealed in trove of texts you weren't meant to see: Sexualized racism, sinister warnings and'weirdo checklist' Harry and Meghan have only been back for two weeks and their return is already a pure farce. Trump calls himself the'greatest president in history' as he leads fawning crowd in rambling pledge... while threatening that Americans will go to HELL if they don't vote Republican It almost feels sacrilegious to write this: MAUREEN CALLAHAN's unobstructed view of 9/11, the phone call she'll never forget... and horrors only New Yorkers know Bill Maher's touching tribute to vivacious pundit who died on hijacked 9/11 flight while en route to his show Could AI really kill us?

A dog has been rescued from Ben Nevis after it is suspected to have fallen ill from eating discarded cannabis. Christina Bluhme, a dog trainer from Esher in Surrey, was halfway up the UK's highest mountain when her black Labrador Tokyo collapsed on the trail. Lochaber Mountain Rescue Team came to their aid and stretchered Tokyo down from the 4,413ft (1,345m) peak to a local vet. Bluhme said Tokyo had made a full recovery after the incident during a trip to Scotland last weekend. She said vets believe she ingested cannabis left on the trail.

Domain decomposition methods are widely used and effective in the approximation of solutions to partial differential equations. Yet the optimal construction of these methods requires tedious analysis and is often available only in simplified, structured-grid settings, limiting their use for more complex problems. In this work, we generalize optimized Schwarz domain decomposition methods to unstructured-grid problems, using Graph Convolutional Neural Networks (GCNNs) and unsupervised learning to learn optimal modifications at subdomain interfaces. A key ingredient in our approach is an improved loss function, enabling effective training on relatively small problems, but robust performance on arbitrarily large problems, with computational cost linear in problem size. The performance of the learned linear solvers is compared with both classical and optimized domain decomposition algorithms, for both structured-and unstructured-grid problems.

Hide-and-seek, peekaboo, and more can strengthen emotional bonds. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Tug-of-war is the type of play that can go a long way. Breakthroughs, discoveries, and DIY tips sent six days a week. Take this as your signal to go play with your dog .

Someone dies in a national park. From "hasty searches" to helicopter extractions, rangers often face a difficult mission to recover remains. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. When someone is missing in a national park, a carefully coordinated process kicks into place--and in most cases, the family never sees a bill. Breakthroughs, discoveries, and DIY tips sent six days a week.

Blind-spot mass is a Good-Turing framework for quantifying deployment coverage risk in machine learning. In modern ML systems, operational state distributions are often heavy-tailed, implying that a long tail of valid but rare states is structurally under-supported in finite training and evaluation data. This creates a form of 'coverage blindness': models can appear accurate on standard test sets yet remain unreliable across large regions of the deployment state space. We propose blind-spot mass B_n(tau), a deployment metric estimating the total probability mass assigned to states whose empirical support falls below a threshold tau. B_n(tau) is computed using Good-Turing unseen-species estimation and yields a principled estimate of how much of the operational distribution lies in reliability-critical, under-supported regimes. We further derive a coverage-imposed accuracy ceiling, decomposing overall performance into supported and blind components and separating capacity limits from data limits. We validate the framework in wearable human activity recognition (HAR) using wrist-worn inertial data. We then replicate the same analysis in the MIMIC-IV hospital database with 275 admissions, where the blind-spot mass curve converges to the same 95% at tau = 5 across clinical state abstractions. This replication across structurally independent domains - differing in modality, feature space, label space, and application - shows that blind-spot mass is a general ML methodology for quantifying combinatorial coverage risk, not an application-specific artifact. Blind-spot decomposition identifies which activities or clinical regimes dominate risk, providing actionable guidance for industrial practitioners on targeted data collection, normalization/renormalization, and physics- or domain-informed constraints for safer deployment.

Trendy designer dogs often have the same issues as pure breeds. The'doodle' industry earns over $1 billion a year. Breakthroughs, discoveries, and DIY tips sent six days a week. Designer crossbreed dogs are increasingly popular pets . Much of the rising interest is tied to claims that these mixed pooches possess more desirable aspects than many purebreeds or mutts.

THE LOST WEDDING PHOTOS: See JFK Jr and Carolyn Bessette at their secret nuptials... and read every intimate detail of ultra-private ceremony Tulsi Gabbard lets Iran nuke bombshell slip as Senate hearing spirals for Trump's embattled spy chief Candace Owens's sickening low-blow at Karoline Leavitt as Iran war sparks wild attacks Lunatic Megyn Kelly is FINALLY ruined! Her appalling X-rated smear of my friend proves it... but now I know her truly disturbing plan: JOSH HAMMER Inside the epidemic of midlife women who are repulsed by their husbands, the age and'vital statistics' that make men most at risk - and the telltale signs YOUR marriage is about to die: Special report by SADIE NICHOLAS Meghan gives glimpse of'mama's little helpers' Archie and Lilibet in'behind the scenes' video of her latest As Ever launch Shameful hypocrisy of NASCAR star Daniel Suarez's nepo-baby wife: 'Victim' mask slips as she ignites new Las Vegas drama... and dark family past rears its ugly head Princess Kate dons her favourite tiara and the late Queen's earrings as she arrives at King's banquet for the Nigerian President in country's first state visit in almost 40 years Everything JFK Jr told friends about his love affair with'sexual dynamo' Madonna... her unprintable pillow talk... and his perverse incest request that she couldn't go through with Site of'Jesus' crucifixion' forced to shut for Holy Week in unprecedented move tied to biblical prophecies of the Antichrist Ugly new Nicole Kidman and Keith Urban divorce fight ERUPTS: Her friends share humiliating details of'midlife crisis'... and reveal brutal REAL reason daughter Sunday Rose'snubbed' him Outrage after Seattle museum vandal destroys $250,000 of famous Dale Chihuly glass at city's museum dedicated to him Amanda Bynes, 39, 'is now a size 4 after losing 35lb' thanks to weight-loss medication... after hitting 180lb Chilling unclassified threat report reveals the'most likely' terror attack scenario on US soil Three's Company bombshell Jenilee Harrison who was also on Dallas and The Love Boat still looks great at 67, see her now The discovery of a Roman artifact in the Americas has sparked a debate about who truly discovered the New World. While Christopher Columbus is hailed as the first in 1492, archaeologists uncovered a small terracotta head of a bearded man carved with distinctive European features tucked inside a Mexican tomb. The artifact, known as the Tecaxic-Calixtlahuaca Head, was discovered in 1933 inside a sealed pre-Hispanic burial beneath multiple intact layers, indicating it had not been disturbed after its placement. Experts say its facial features, beard style and craftsmanship bear a striking resemblance to objects from the ancient Mediterranean rather than indigenous Mesoamerican traditions.

This adorable sea lion has to eat five to eight percent of its body weight every day to stay healthy and hydrated. Breakthroughs, discoveries, and DIY tips sent six days a week. Over the long and complicated course of evolutionary history, mammals independently turned towards water to make a home multiple times. While many of the warm-blooded animals that abandoned dry land for a watery habitat no longer exist, we still have plenty of stunning examples: Think dolphins, whales, manatees, porpoises. There's even a whole suborder of carnivores called the pinnipeds, which includes seals, sea lions, and walruses who move between land and water.