Technology Aviation The world's largest RC Boeing 777-9X takes flight Filmmaker Tyler Perry piloted the remote-controlled behemoth, which weighs 630 pounds with a 33-foot wingspan. 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. The remote-controlled aircraft is roughly the same size as a human-piloted Cessna 150. 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 .

A Ukrainian flying ace is leveraging his aerobatics skills to protect his countrymen from nightly attacks. The most challenging part of an international aerobatics contest is the Free Unknown. Pilots arrive at a competition after having polished sequences of loops, stall turns, and barrel rolls. But for the Free Unknown section they learn which assortment of tricks they must perform only a day in advance. Contestants plan out how they will string together the stipulated moves in the most pleasing fashion, but they cannot rehearse the routine, except in their minds. It's a test of imagination and airmanship that often decides the competition. In 2019, the World Intermediate Aerobatics Championship, which was held on an airfield in the Czech town of Břeclav, contained three Free Unknowns. The winner of the first was a twenty-five-year-old Ukrainian pilot named Timur Fatkullin. At the controls of his red-and-silver Extra 330LX--a nimble German sports plane--he made the unusual move of starting his sequence upside down. He then executed a complicated routine as if he'd practiced it for months. The Ukrainian team, boosted by Fatkullin's performance, won gold. Trevor Dugan, who served as a navigator with the R.A.F. in Afghanistan and Iraq, was on the British team, which took bronze. Fatkullin, he said, was "absolutely phenomenal." Not long after that championship, Fatkullin stopped entering aerobatics competitions: first came the pandemic, then the war with Russia. He moves through life impatiently. Now thirty-two, he has five children. He is tall, with a tight beard, pale-green eyes, and a square jaw. Even in casual situations, he stands ramrod straight, as though about to give or receive an order. He often wears a shirt with three buttons undone, a beige leather flying jacket with the collar turned up, combat pants, and Nike high-tops. He plays the guitar, a little piano. He often carries a thick fold of high-value bills. He speaks several languages, including English (almost perfectly) and Spanish (conversationally). He once spent thirty days in jail after breaking the ribs of a man who'd threatened his wife. He can dance the tango. When Fatkullin was in his mid-twenties, he started doing stunts with a group of other extreme athletes: parachutists, motorcyclists, a free diver.

Air France and Airbus have been found guilty of manslaughter over a 2009 plane crash which killed 228 people. The Paris Appeals Court found the airline and aircraft manufacturer guilty of corporate manslaughter over the incident, in which flight AF447 between Rio de Janeiro and Paris crashed into the Atlantic Ocean. The passenger jet stalled during a storm and plunged into the water, killing all on board. A court had previously cleared the companies in April 2023 but they were found guilty after this appeal. The Airbus A330 vanished from radars during a storm, with its wreckage found after a long search of 10,000 sq km (3,860 sq miles) of sea floor.

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. There's more to airplane toilets than meets the eye. Breakthroughs, discoveries, and DIY tips sent six days a week. But that incredibly loud sucking sound is actually something of an engineering marvel. In this episode of Ask Us Anything by, we get into all the smelly details of how airplane toilets actually work. Ask Us Anything answers your most outlandish, mind-burning questions--from the everyday things you've always wondered to the bizarre things you never thought to ask. So, yes, there's a reason we can't remember being babies and no, not all cats hate water .

Many three-dimensional spatial fields are anisotropic, with directions of rapid and slow variation that need not align with the coordinate axes. Standard Gaussian process kernels with Automatic Relevance Determination (ARD) capture only axis-aligned anisotropy, while generic full symmetric positive definite (SPD) metrics can represent rotated anisotropy but do not parameterise principal length-scales and directions directly. We introduce an interpretable rotationally anisotropic GP kernel that parameterises a three-dimensional SPD covariance metric using three principal length-scales and an explicit SO(3) rotation. The rotation is represented by an axis-angle vector and mapped to SO(3) via the Lie-algebra exponential map, giving unconstrained Euclidean coordinates for inference while always inducing a valid SPD metric. The construction spans the same family of three-dimensional SPD covariance metrics as a generic full-SPD parameterisation, but exposes the geometry differently: length-scales and orientation are explicit, interpretable, and directly available for prior specification and posterior summaries. We perform Bayesian inference on these quantities using Markov Chain Monte Carlo (MCMC), and characterise the resulting symmetries and weakly identified regimes. On synthetic data with rotated anisotropy, the posterior recovers the generating metric and improves prediction relative to an axis-aligned ARD baseline, while matching the predictive performance of a generic full SPD baseline. When the ground truth is axis-aligned, posterior mass concentrates near the identity rotation and predictive performance matches ARD. On a material-density dataset from a laboratory-fabricated nano-brick, the inferred metric reveals rotated anisotropy that is not captured by axis-aligned kernels.

'Solar Impulse 2' made history by circumnavigating the globe in 2016. 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. 'Solar Impulse 2' completed its circumnavigation of the planet, which included a flight over Giza's pyramids, in 2016. Breakthroughs, discoveries, and DIY tips sent six days a week. The groundbreaking experimental aircraft known as has met an untimely end.

Things have not been looking good for Spirit Airlines for years now. The budget airline known for its bare-bones approach to the sky filed for bankruptcy in 2024 and then again in 2025. And yet, its demise on Saturday felt sudden and shocking: Spirit said it would go out of business, canceling flights, shuttering its customer service lines, and laying off workers without warning. What does it mean for flyers, and for the busy summer travel season? WIRED spoke to experts to find out.

Inspired by space ships, double decker buses, and old-fashioned trains, designers try to make flying feel less torturous. 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. How far would you go for more space on a plane? Breakthroughs, discoveries, and DIY tips sent six days a week. Travel season is approaching, which means families and solo adventurers scrounging together funds for a summer getaway.

Machine learning force fields (MLFFs) have instigated a groundbreaking shift in molecular dynamics (MD) simulations across a wide range of fields, such as physics, chemistry, biology, and materials science. Incorporating higher order many-body interactions can enhance the expressiveness and accuracy of models. Recent models have achieved this by explicitly including up to four-body interactions. However, five-body interactions, which have relevance in various fields, are still challenging to incorporate efficiently into MLFFs. In this work, we propose the quintuple network (QuinNet), an end-to-end graph neural network that efficiently expresses many-body interactions up to five-body interactions with ab initio accuracy. By analyzing the topology of diverse many-body interactions, we design the model architecture to efficiently and explicitly represent these interactions. We evaluate QuinNet on public datasets of small molecules, such as MD17 and its revised version, and show that it is compatible with other state-of-the-art models on these benchmarks.

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