evolution
Sled dogs have stubby legs for a reason
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. Sled dogs pull sleds for recreation and work. Sled dogs have been helping humans travel across the planet's coldest regions for centuries, hauling supplies, people, and equipment across the snow and ice. In the process, this important role that goes above and beyond simply being "man's best friend" could have a visible impact on their evolution. Sled dogs may have evolved shorter legs to help them pull loads more efficiently.
In 1960, scientists predicted the world would end on November 13, 2026
But they were both great at getting attention. Public Domain Indeed, academics at the time reportedly sent flustered letters to the editor at calling the prediction "ridiculous" and "manifestly absurd." "There was never, even at that time, any reason to think that it would keep growing fast like that."
Large dog breeds die younger. Biologists think they finally know why.
Science Biology Evolution Large dog breeds die younger. Biologists think they finally know why. 'Jumping genes' may explain shorter lifespans. 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. A first-of-its-kind genetic analysis of dog breeds presents the clearest insights into why larger dogs rarely outlive their smaller relatives.
Can carnivorous plants eat people?
Can carnivorous plants eat people? 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. Venus flytraps are only native to the coastal bogs, wetlands, and pine savannas of North Carolina and South Carolina in the United States. Anyone who's seen the 1986 musical comedy, is familiar with Audrey II . Audrey II looks like a towering, blood-eating Venus flytrap plant, even mimicking the jaw-like, snapping pod of real carnivorous plants. But while Venus flytraps consume insects, Audrey II feeds on humans.
Tiny 'chaos potatoes' show off parkour moves
The rabbit-looking rock hyrax is actually related to elephants. 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. Rock hyraxes reach about 8 pounds. England's Chester Zoo has recently welcomed into the world three rock hyrax () pups. The adorable mammals are tiny, round, adorable--and related to elephants, if you can believe it.
Monkeys are surprisingly good at geometry
They may understand shapes as well as your toddler. 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. Human understanding of geometry may stretch deep into our evolutionary past. Breakthroughs, discoveries, and DIY tips sent six days a week. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy .
How wild animals prepare for violence just like humans
Social animals have anticipatory tactics ahead of conflict--including killing their rivals' young. 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. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy . In the animal kingdom, life can sometimes look more like than .
Could Sheepstealer and other 'House of the Dragon' dragons actually fly?
Could Sheepstealer and other'House of the Dragon' dragons actually fly? A dragon consultant weighs in on Westeros physics. 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. Making fantastical creatures like dragons believable is often a battle between ecology and biomechanics. Breakthroughs, discoveries, and DIY tips sent six days a week.
Why humans find fire so mesmerizing
We're hardwired to stare at flames. 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. Why do we love staring into a campfire? Breakthroughs, discoveries, and DIY tips sent six days a week. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy .
Learning a Cross-Modal Schrödinger Bridge for Visual Domain Generalization
Domain generalization aims to train models that perform robustly on unseen target domains without access to target data. The realm of vision-language foundation model has opened a new venue owing to its inherent out-of-distribution generalization capability. However, the static alignment to class-level textual anchors remains insufficient to handle the dramatic distribution discrepancy from diverse domain-specific visual features. In this work, we propose a novel cross-domain Schrödinger Bridge (SB) method, namely SBGen, to handle this challenge, which explicitly formulates the stochastic semantic evolution, to gain better generalization to unseen domains. Technically, the proposed SBGen consists of three key components: (1) text-guided domain-aware feature selection to isolate semantically aligned image tokens; (2) stochastic cross-domain evolution to simulate the SB dynamics via a learnable time-conditioned drift; and (3) stochastic domain-agnostic interpolation to construct semantically grounded feature trajectories. Empirically, SBGen achieves state-of-the-art performance on domain generalization in both classification and segmentation. This work highlights the importance of modeling domain shifts as structured stochastic processes grounded in semantic alignment.