Conniving couple whose greedy'pervert' plot'drove innocent disabled man to suicide' given stunningly short sentences Obama Center asks for 100 unpaid volunteers despite hiring the former president's'close friend' as CEO on $740K Harry Styles shares gay kiss with SNL star in wild opening monologue as he addresses'queerbaiting' claims Housing nightmare in America's'best state to buy a home' as banks suddenly seize thousands of properties Insufferable blowhard Stephen Colbert is being taken out like the trash... and thank God! What he's done is so diabolical: MAUREEN CALLAHAN JFK Jr's mortifying night of phone sex... day Sarah Jessica Parker ditched her underwear to seduce him in public... and the girlfriend he REALLY wanted to marry: All the women before Carolyn Mass cancellations as Southwest Airlines pulls out of two of America's biggest airports Truth about'super secretive' Michael B. Jordan's love life... and real reason he is perpetually single: Years of private'heartache' and'loneliness' laid bare Beloved young dad and inspiring female'Air Force superstar' among US heroes killed in Iran mission crash as all six are named Insane moment NYC cab plows into pedestrians... and the miracle that saved them from death Caitlin Clark goes viral for bizarre behavior after Team USA's win over Italy: 'What are you doing? We fled Trump to chase the REAL American dream in the most idyllic European hotspot... here's why we're coming back to a red state I looked like a monster after a car accident burned off my face... but a pioneering face transplant gave me my life back. Furious flower farm owner blasts'feral' customers after they trampled tulips to get perfect photos Harry and Meghan hit back at new book claims she was accused by Camilla of'brainwashing' him - dismissing accusations as'deranged conspiracy' Extramarital sex with witches, cursed bloodlines and possessed politicians: DC's chief exorcist reveals the potent stench of evil among America's elite Iran's deadly drone arsenal is a'wake-up call for America': Expert warns US defenses may be unprepared for swarm attacks Iran's foreign minister admits Islamic Republic is receiving military support from Russia and China Hollywood costume designer names VILE A-Listers including pervert James Bond star, slob female sitcom icon... and details the hilarious evil of Shannen Doherty Police-style powers handed to Environment Agency in bid to crack down on waste criminals'blighting our countryside' Waste criminals are facing a tough crackdown as the government announces new'zero-tolerance' plans to deal with gangs who illegally dump rubbish. Environment officers could soon be given police-like powers to search premises, seize assets and arrest individuals without a warrant. The new approach would allow officers to intervene earlier, bring more criminals to justice and hit the organised gangs behind illegal waste'where it hurts' by disrupting their finances.

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China's People's Armed Forces Maritime Militia deployed thousands of fishing vessels in coordinated formations that could disrupt global shipping lanes, analysts warn.

Neural networks have many successful applications, while much less theoretical understanding has been gained. Towards bridging this gap, we study the problem of learning a two-layer overparameterized ReLU neural network for multi-class classification via stochastic gradient descent (SGD) from random initialization. In the overparameterized setting, when the data comes from mixtures of well-separated distributions, we prove that SGD learns a network with a small generalization error, albeit the network has enough capacity to fit arbitrary labels. Furthermore, the analysis provides interesting insights into several aspects of learning neural networks and can be verified based on empirical studies on synthetic data and on the MNIST dataset.

The secret to this acrobatic skill lies in an extremely flexible part of the spine that allows cats to twist in the air and land safely. It's well established that when cats fall, they're able to land perfectly most of the time, nimbly maneuvering to right themselves before they hit the ground. Now, researchers at Japan's Yamaguchi University have advanced our understanding of this extraordinary ability, focusing on the mechanical properties of feline spines. What they found, as detailed in a recent study in the journal The Anatomical Record, is that those sure-footed landings are due in part to the fact that a cat's thoracic region is much more flexible than its lumbar region. While a cat's ability to rotate in the air without something to push again seems to defy the laws of physics, it's instead a complex righting maneuver.

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When you purchase through links in our articles, we may earn a small commission. Visual Studio Professional 2026 brings AI-assisted coding, cross-platform development tools, and advanced collaboration features--and it's currently just $49.99. Modern development workflows move fast, and the tools developers use need to keep up . Microsoft Visual Studio Professional 2026 is designed exactly for that kind of environment, combining powerful coding tools, AI assistance, and cross-platform development support into one streamlined IDE. Built as a fully 64-bit IDE, Visual Studio 2026 is capable of handling larger projects and complex workloads more smoothly than earlier versions.

We consider the problem of online learning in the linear contextual bandits setting, but in which there are also strong individual fairness constraints governed by an unknown similarity metric. These constraints demand that we select similar actions or individuals with approximately equal probability [?], which may be at odds with optimizing reward, thus modeling settings where profit and social policy are in tension. We assume we learn about an unknown Mahalanobis similarity metric from only weak feedback that identifies fairness violations, but does not quantify their extent. This is intended to represent the interventions of a regulator who "knows unfairness when he sees it" but nevertheless cannot enunciate a quantitative fairness metric over individuals. Our main result is an algorithm in the adversarial context setting that has a number of fairness violations that depends only logarithmically on T, while obtaining an optimal O( T) regret bound to the best fair policy.

Convolutional Neural Networks(CNNs) are both computation and memory intensive which hindered their deployment in mobile devices. Inspired by the relevant concept in neural science literature, we propose Synaptic Pruning: a data-driven method to prune connections between input and output feature maps with a newly proposed class of parameters called Synaptic Strength. Synaptic Strength is designed to capture the importance of a connection based on the amount of information it transports. Experiment results show the effectiveness of our approach. On CIFAR-10, we prune connections for various CNN models with up to 96%, which results in significant size reduction and computation saving. Further evaluation on ImageNet demonstrates that synaptic pruning is able to discover efficient models which is competitive to state-of-the-art compact CNNs such as MobileNet-V2 and NasNet-Mobile. Our contribution is summarized as following: (1) We introduce Synaptic Strength, a new class of parameters for CNNs to indicate the importance of each connections.

Could Iran be using China's BeiDou system? Iraq's Iranian-backed Kataib Hezbollah has released drone video from an attack on the US's Victory Base near Baghdad International Airport. It's believed to be the first time the group has successfully used the FPV attack drone to skirt US defences. Iran's Space Research Centre severely damaged in strikes Thousands in Madrid protest'forgotten' Gaza, warn Iran war may spiral into