Photographer Tom Murphy has documented the park's wildlife for decades. Now, one of his photos will be on a Forever Stamp. The new stamp features one of Yellowstone's signature bison and will be out later in 2026. Breakthroughs, discoveries, and DIY tips sent six days a week. It's a warm July day in Yellowstone National Park's grassy Hayden Valley and wildlife photographer Tom Murphy is tracking herds of chocolate-colored bison gathered for the annual breeding season.

Despite being declared the third-hottest year on record, 2025 was a relatively quiet year for climate disasters in the US. No major hurricanes made landfall, while the total number of acres burned in wildfires last year--a way of measuring the intensity of wildfire season --fell below the 10-year average. But starting this week, the West is experiencing what looks to be a record-breaking heat wave, while forecasting models predict that a strong El Niño event is likely to emerge later this year. These two unrelated phenomena could set the stage for a long stretch of unpredictable and extreme weather reaching into next year, compounding the effects of a climate that's getting hotter and hotter thanks to human activity. Beginning this week and heading into next, a massive ridge of high-pressure air will bring record-breaking temperatures to the American West.

Horrifying next twist in the Alexander brothers case: MAUREEN CALLAHAN exposes an unthinkable perversion that's been hiding in plain sight Alexander brothers' alleged HIGH SCHOOL gang rape video: Classmates speak out on sick'taking turns' footage... as creepy unseen photos are exposed Model Cindy Crawford, 60, mocked for her'out of touch' morning routine: 'Nothing about this is normal' Kentucky mother and daughter turn down $26.5MILLION to sell their farms to secretive tech giant that wants to build data center there Live Nation executives mocked'stupid' concert-goers in emails where they bragged about how to best rip them off: '$60 for closer grass' NFL superstar Xavier Worthy spills all on Travis Kelce, the Chiefs' struggles... and having Taylor Swift as his No 1 fan Heartbreaking video shows very elderly DoorDash driver shuffle down customer's driveway with coffee order because he is too poor to retire Amber Valletta, 52, was a '90s Vogue model who made movies with Sandra Bullock and Kate Hudson, see her now Nancy Mace throws herself into Iran warzone as she goes rogue on Middle East rescue mission: 'I AM that person' Hidden toxins in kids' treats EXPOSED: Health guru Jillian Michaels' sit-down with Casey DeSantis reveals dangers lurking in popular foods Nuclear death map of America reveals how FAST citizens in each state would die... and rare safe zones if atom bombs were dropped on key US silos Fears of nuclear war have surged after the US and Israel launched a major military operation against Iran, killing the country's supreme leader and other senior officials. As speculation grows about possible retaliation on American soil, new research reveals which parts of the country could be safest if the unthinkable happens. Scientists at the University of Massachusetts Amherst modeled a worst-case attack on the 450 intercontinental ballistic missile (ICBM) silos clustered across the Midwest, which are considered prime targets because disabling them early would cripple America's nuclear arsenal. Using historical wind patterns recorded through 2021, scientists projected how radioactive fallout would spread if each silo were struck with a warhead roughly 50 times more powerful than the bomb dropped on Hiroshima. According to their research, scientists determined that parts of the western US, stretching from Washington down to Texas, could be among the least affected regions in the immediate aftermath of a nuclear strike targeting US missile silos.

We consider the problem of discretization of neural operators between Hilbert spaces in a general framework including skip connections. We focus on bijec-tive neural operators through the lens of diffeomorphisms in infinite dimensions.

Neural operators [Kovachki et al., 2021a,b] are neural networks that take a

Different distribution shifts require different algorithmic and operational interventions. Methodological research must be grounded by the specific shifts they address.