New Mexico
Moment terrified bear clings to top of 35ft telephone pole before suffering gruesome fate
Honest widower, 76, alerted IRS after they accidentally sent him $20k refund he wasn't owed... now its idiot staff are ruining his finances and threatening to seize his farm Trump's three-word threat as Iran opens up new front and oil surges to $100 per barrel Harry has reached a new low. It's such a slap in the face to his father... especially after what the King's friend told me: RICHARD EDEN Bravo cheating scandal explodes as'jealous' Nashville influencer LEAKS steamy video to destroy her Texas rival... and reality star cowboy drops insane breakup texts: 'You f***ing sl**' Prince William's'decoy' girlfriend Bryony Daniels, 44, who helped royal sneak off with Kate at St Andrews gets her own happily ever after as she weds Duke of Sutherland's nephew in gold brocade Emilia Wickstead dress Chain's unlimited'Pasta Pass' returns for an eye-watering $100 after six-year hiatus - but fans are already complaining they'll never get one I've had one myself (and the humiliating sex encounter with a 26-year-old to prove it)... so trust me, I can see all the signs: LIZ JONES Girl who killed four young friends after crashing car'while speeding' comes face-to-face with her victims' parents in court as she demands case against her is DISMISSED Olivia Wilde fires off on'creature' Elon Musk as she recalls the first time she met the Tesla'trillionaire' When to worry about your beer belly... millions of men ignore their paunch but DR PHILIPPA KAYE reveals the signs that it could be dangerous - and the 30-second test you must take now As a mother of three, I hid my cocaine in the airing cupboard and used while my family slept. No one had a clue... but this is what it did to my sex life and parenting. Ed Harris's future on Dutton Ranch revealed after he begged to'get out' of Taylor Sheridan show New Jennifer Lopez drama that means she and Ben Affleck STILL'can't escape each other'... two whole years after divorce: As she posts nearly naked selfie with humiliating detail... friends reveal what she'has to suck up' and his'prickly' outbursts Russia'is helping Iran strike CIA bases in Middle East', Western officials fear Brutal truth about Mounjaro-jowls Rosie O'Donnell.... even her $90,000 facelift can't hide this: CAROLINE BULLOCK'Shining light' homecoming queen, 18, dies of brain aneurysm just weeks after she graduated from top private school The heartbreaking discovery of a bear clinging to the top of a 35-foot telephone pole ended in tragedy. Shannon Mullens was driving from New Mexico to Oklahoma on Monday when she spotted the stranded animal near Clayton, New Mexico.
Flesh-eating parasite spreads to second US state as officials confirm thousands of people infected worldwide
Caitlyn Jenner biographer and Robin Riker's ex William Hasley found dead on hiking trail at 78 Karmelo Anthony's mother sobs with shock as son is found guilty of murdering Austin Metcalf, 17, in stabbing that horrified America: Live updates Disgraceful texts'hot' teacher sent boy, 17, who she had illegal sex with where she moaned about her HUSBAND Everyone always said I cleared my throat a lot. But then I developed shoulder pain and doctors discovered the sinister cause... the world's deadliest cancer. Don't leave it too late like I did Moment Real Housewives star Lenny Hochstein's sexual assault accuser'dances' as she leaves Star Island mansion - before filing $100k civil lawsuit Leaked transcript of UNAIRED 60 Minutes interview exposes REAL reason'callous' CBS star Scott Pelley'deserved to be fired' Urgent recall for 1.1m vehicles over fears they could spontaneously CATCH FIRE even when parked Disturbing new death scene photos show tech whistleblower's haunting final moments... as forensic report casts doubt on suicide claims: 'Execution angle' 'Great' mom, 32, tried to gas herself and her three young kids to death after inviting them to'popcorn sleepover' in car, prosecutors allege The porn-fuelled fantasy middle-class husbands are desperate to try with their wives... and it almost always ends in divorce: JANA HOCKING The historic steel mill that helped build America was written off for dead. John Oliver's private panic: Late-night curse spreads and host prepares for worst as insiders reveal his desperate'plan B'... and the industry whispers swirling about his fate Woke Vegas school compared boy to racist cross burner over pro-ICE stickers and expelled him... but did not punish pro-migrant students for class walkout, lawsuit alleges Medical student, 24, died by suicide in his white coat a day after he was suspended for alleged'inappropriate' behavior towards female patient, lawsuit alleges, as his heartbreaking goodbye note to parents is revealed Mother's final words before she was shot dead'by new husband' in front of her two young children All the backstage gossip from Miami Swim Week: Insider exposes'catty' VIP's diva demands... STEALING... and'morbidly embarrassing' celeb moment everyone is whispering about MORE: Outrage as scientists push to create ticks that spread red-meat allergies: 'Isn't this biological terrorism?' The flesh-eating parasites that burrow into the living tissue of their victims have spread beyond Texas and are now moving through a second US state.
The First Atomic Bomb Test in 1945 Created an Entirely New Material
The discovery from the Trinity nuclear test site shows how extreme conditions can result in materials never before seen in nature or in the lab. The new material is a clathrate made of calcium, copper, and silicon . During the Trinity nuclear test on July 16, 1945, in the New Mexico desert--the world's very first test of an atomic bomb --a new material spontaneously formed. It was discovered only recently, by an international research team coordinated by geologist Luca Bindi at the University of Florence, which identified the novel clathrate based on calcium, copper, and silicon. It's a material never before observed either in nature or as an artificial compound created in the laboratory.
Scientists have discovered a SHORTCUT to the moon - and it could slash the cost of future missions
Popular megachurch in crisis as senior pastor suddenly quits... while bosses furiously DENY sex scandal Missing scientist's shattered car sparks chilling mystery in remote New Mexico mountains Two small airlines join forces to create America's newest budget carrier after Spirit collapse leaves millions scrambling Horrifying final days of killer dad Chris Watts' pregnant wife before she was slaughtered alongside their daughters. Read all the chilling texts and receipts in full for first time: 'My eyes burn from crying' I'm a pastor who attended a secret UFO disclosure meeting. We saw images of'translucent beings' that chilled me to the bone... the files could fulfil a dark biblical prophecy Cheerful Christian mom is pillar of Florida community and loves going on TV... but she has a childhood secret so evil that she stuttered with shock when confronted with it Taxpayers to foot Trump's $1.7 BILLION bill as President sues his own government: 'I'm paying myself' How I lost 3 STONE in 3 WEEKS. I've reversed pre-diabetes and no longer need a knee op: DONAL MACINTYRE's extraordinary investigation Former NFL player Josh Mauro's tragic cause of death revealed after league was left'devastated' by ex-Cardinals and Giants man's sudden passing at 35 Husband of doomed dive group leader says'something must have happened down there' as mystery surrounds why the five attempted to explore'cave so deep even divers with best equipment don't try' Greeks savage Kimberly Guilfoyle as Trump's ambassador opens McDonald's in country celebrated for world-class food I'm godfather to Candace Owens' daughter and Charlie Kirk was my friend... so I know the real reason she's attacking Erika - and I'll never publicly condemn her Death of Alabama woman, 22, 'accidentally' shot in chest by boyfriend's dad is ruled a HOMICIDE Reese Witherspoon and Ryan Phillippe reunite for son's NYU graduation... as Kate Hudson cheers on her boy at same ceremony with Goldie Hawn and Kurt Russell'How do you live with that?' Disgraced Eric Swalwell's'blindsided' wife dresses for revenge... as friends reveal brutal toll sex assault scandal has had on young mom Judge declares another mistrial in disgraced Hollywood mogul Harvey Weinstein's rape case Can't lose weight no matter what you do? These are the 7 surprising reasons why, including'healthy' hacks actually making you put on pounds.
The real storm chasers of the Great Plains
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. Storm chasers took this photo of a rotating wall cloud in Clovis, New Mexico, in May 2023. Breakthroughs, discoveries, and DIY tips sent six days a week. Flying cows, SUVs soaring through the air like toys, quaint towns that are virtually wiped off the map. Hollywood certainly makes the very real world of chasing tornadoes appear exciting on the big screen.
ALittle Robustness Goes a Long Way: Leveraging Robust Features for Targeted Transfer Attacks
Adversarial examples for neural network image classifiers are known to be transferable: examples optimized to be misclassified by a source classifier are often misclassified as well by classifiers with different architectures. However, targeted adversarial examples--optimized to be classified as a chosen target class--tend to be less transferable between architectures. While prior research on constructing transferable targeted attacks has focused on improving the optimization procedure, in this work we examine the role of the source classifier. Here, we show that training the source classifier to be "slightly robust"--that is, robust to small-magnitude adversarial examples--substantially improves the transferability of class-targeted and representation-targeted adversarial attacks, even between architectures as different as convolutional neural networks and transformers. The results we present provide insight into the nature of adversarial examples as well as the mechanisms underlying so-called "robust" classifiers.
What would happen if Yellowstone's 'supervolcano' erupted today?
What would happen if Yellowstone's'supervolcano' erupted today? Say goodbye to Montana, Wyoming, and Idaho. 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. This photo of a volcano in Iceland doesn't even begin to encapsulate the devastation that would happen if the Yellowstone volcano erupted. Breakthroughs, discoveries, and DIY tips sent six days a week.
50,000 rare coin hunt will take over San Francisco
Valuable coins including a gold rush era "Humbert Slug" will be hidden all over the city. 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. Breakthroughs, discoveries, and DIY tips sent six days a week. A new gold rush is coming to California. For the third year, San Francisco's Witter Coin will host a treasure hunt across the city collectively worth over $50,000.
Accurate and Reliable Uncertainty Estimates for Deterministic Predictions Extensions to Under and Overpredictions
Bandy, Rileigh, Camporeale, Enrico, Hu, Andong, Berger, Thomas, Morrison, Rebecca
Computational models support high-stakes decisions across engineering and science, and practitioners increasingly seek probabilistic predictions to quantify uncertainty in such models. Existing approaches generate predictions either by sampling input parameter distributions or by augmenting deterministic outputs with uncertainty representations, including distribution-free and distributional methods. However, sampling-based methods are often computationally prohibitive for real-time applications, and many existing uncertainty representations either ignore input dependence or rely on restrictive Gaussian assumptions that fail to capture asymmetry and heavy-tailed behavior. Therefore, we extend the ACCurate and Reliable Uncertainty Estimate (ACCRUE) framework to learn input-dependent, non-Gaussian uncertainty distributions, specifically two-piece Gaussian and asymmetric Laplace forms, using a neural network trained with a loss function that balances predictive accuracy and reliability. Through synthetic and real-world experiments, we show that the proposed approach captures an input-dependent uncertainty structure and improves probabilistic forecasts relative to existing methods, while maintaining flexibility to model skewed and non-Gaussian errors.