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 Skiing



Downhill skiing's biggest hurdle? Friction.

Popular Science

How skis meet snow be the difference between winning gold or silver. Breakthroughs, discoveries, and DIY tips sent six days a week. Every ski and snowboarding event at the 2026 Winter Olympics is won through a combination of sheer athleticism, quick thinking, creativity, and persistence. But like so many other sports, competitors know their choice of equipment can mean the difference earning the gold or silver medal. A ski is built for function over form, and manufacturers have spent decades adapting and honing their products to ensure wearers get the best results.




The extreme sport of skijoring, where horses pull skiers at 40 mph

Popular Science

Participants take part in a skijoring race in Zab, Poland, on January 25, 2026. Breakthroughs, discoveries, and DIY tips sent six days a week. The high-adrenaline winter sport of skijoring, derived from the Norwegian word for "ski driving," takes so many forms that it even defies uniform pronunciation. "If you go to France, it's skijoering, pronounced SKEE-zhor-ing. In German, it's skijöring, pronounced SHEE-yuh-ring," says Loren Zhimanskova, founder of Skijor International and Skijor USA.


Supplementary Material Multiview Human Body Reconstruction from Uncalibrated Cameras

Neural Information Processing Systems

We randomly select samples from them with a ratio of 0.8: 0.2 Each method reconstruct a unified mesh from multiview inputs. It comes with ground truth 3D pose and follow its standard split for training and testing. MannequinChallenge is captured by a moving hand-held camera while subjects stay still in daily life scenarios. We use annotations provided by Leroy et al. [ There are 45.3M learnable parameters in our architecture, among them 12.6M are used for the We test run time for a different number of views within a frame. The graph convolutional mesh decoder has 7 layers, each with 256 channels.



Visual Instruction Tuning

Neural Information Processing Systems

Instruction tuning large language models (LLMs) using machine-generated instruction-following data has been shown to improve zero-shot capabilities on new tasks, but the idea is less explored in the multimodal field.