Environment Conservation Ocean Florida can't decide if its official saltwater mammal is a dolphin or a porpoise They are not the same animal. Dolphins (right) are more common in Florida, while porpoises (left) are spotted much less frequently. Breakthroughs, discoveries, and DIY tips sent six days a week. States have a surprising number of official symbols . While most people would expect them to have an official motto, seal, and flag, there can also be a state beverage, muffin, soil, fossil, and poem, to name a few.

During WWI, a daredevil pilot helped invent the first'drones' Lawrence Sperry's autopilot proved planes could fly themselves. Lawrence Sperry was a pioneer, a showman, and inventor. Without him, flying today would look very different. Breakthroughs, discoveries, and DIY tips sent six days a week. On November 21, 1916, pilot and inventor Lawrence Sperry was flying over Long Island's Great South Bay with his student Dorothy Rice Pierce when his plane suddenly plunged into the water .

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 As the conflict in Iran spreads throughout the Middle East, fears are growing that the world may soon spiral into a WWIII. Sir Keir Starmer has tried to keep the UK out of the fight, but recent strikes on an RAF base in Cyprus suggest this may not be possible if the war continues to escalate. Although the chances of a direct attack on British soil remain low, experts have warned that Iran's fleet of Shahed drones could strike without warning. Now, scientists have revealed the best way to stay safe if a drone attack were to pummel the UK. Each of Iran's Shahed drones carries a 90kg high-explosive payload, which is enough to collapse a building with a direct hit.

This paper introduces a distillation framework for an ensemble of entropy-optimal Sparse Probabilistic Approximation (eSPA) models, trained exclusively on satellite-era observational and reanalysis data to predict ENSO phase up to 24 months in advance. While eSPA ensembles yield state-of-the-art forecast skill, they are harder to interpret than individual eSPA models. We show how to compress the ensemble into a compact set of "distilled" models by aggregating the structure of only those ensemble members that make correct predictions. This process yields a single, diagnostically tractable model for each forecast lead time that preserves forecast performance while also enabling diagnostics that are impractical to implement on the full ensemble. An analysis of the regime persistence of the distilled model "superclusters", as well as cross-lead clustering consistency, shows that the discretised system accurately captures the spatiotemporal dynamics of ENSO. By considering the effective dimension of the feature importance vectors, the complexity of the input space required for correct ENSO phase prediction is shown to peak when forecasts must cross the boreal spring predictability barrier. Spatial importance maps derived from the feature importance vectors are introduced to identify where predictive information resides in each field and are shown to include known physical precursors at certain lead times. Case studies of key events are also presented, showing how fields reconstructed from distilled model centroids trace the evolution from extratropical and inter-basin precursors to the mature ENSO state. Overall, the distillation framework enables a rigorous investigation of long-range ENSO predictability that complements real-time data-driven operational forecasts.

The inferred user preference descriptions are used to define prompts for generating responses in the future.

The advent of large language models (LLMs) [Brown et al., 2020] has revolutionized the field of

The ocean is a crucial component of the Earth's system.