You're viewing the US edition You can switch to the UK or AU homepage at any time using this menu. James Blunt breaks silence on claims he was'famous British singer' who Hayden Panettiere was put into bed with when she was 18 Brian Hickerson's dark family secrets outed by his own sister... who reveals moment his'demons' took over... and real reason Hayden Panettiere kept going back His penis grew by a THIRD in minutes after game-changing new enlargement method... now thrilled patient bares all and declares: 'My phone's already buzzing' No one will dare say it out loud... but there's only one bombshell way Harry and Meghan's'half-in, half-out' new life in Britain can work: ROBERT JOBSON Kim Kardashian and Kanye West's daughter North, 13, says she has no interest in'boys, vaping and doing bad stuff' as she appears in bold Dazed cover shoot Mother of three young boys who vanished on Thanksgiving 2010 while being cared for by their dad admits she is a PEDOPHILE at ex's murder trial The 10-cent supplement that turbocharges your Mounjaro AND reduces your cholesterol: Most patients won't have heard of it, but now experts reveal why anyone on jabs must take it - and how it can stop you putting weight back on Enes Kanter Freedom hits back at'terrified' WNBA as he learns draft fate after ex-NBA star was ejected from game over explosive courtside clash Hoover Dam's horror threat to 40 million Americans: As'tipping point' is reached... expert warns residents in THREE states to brace Distressing audio reveals moment doctor's husband who left daughter, 2, to die in hot car was found by nanny after killing himself just hours before he was due to be jailed Taylor Swift reveals her'coping mechanism' for dealing with critics and admits she likes to'mock them back' Glamorous Duke University influencer accused of astonishingly sly plot... as students reveal blistering evidence Harry and Meghan want to move to the Cotswolds... but the party I attended last weekend - and these neighbourhood WhatsApp chats - show why they won't get the warm welcome they're hoping for: NADINE DORRIES Hidden in plain sight: Stone from Henry VIII's long-lost Sandown Castle was reused in Dover Castle, study finds Part of King Henry VIII's long-lost Sandown Castle has been rediscovered hiding in plain sight. Stones from the 16th-century fort were reused to build part of Dover Castle, about nine miles (14.5km) down the coast, according to a new study. Archaeologists discovered a previously unknown report from 1883, stating that materials from Sandown were being sold off and sent to Dover. Those stone chunks from Henry VIII's maritime defences now form part of the Constable's Gate at Dover, which provided quarters for the castle's commanding officer.

Steganography is the practice of concealing a secret message within another, ordinary, message. Commonly, steganography is used to unobtrusively hide a small message within the noisy regions of a larger image. In this study, we attempt to place a full size color image within another image of the same size. Deep neural networks are simultaneously trained to create the hiding and revealing processes and are designed to specifically work as a pair. The system is trained on images drawn randomly from the ImageNet database, and works well on natural images from a wide variety of sources. Beyond demonstrating the successful application of deep learning to hiding images, we carefully examine how the result is achieved and explore extensions. Unlike many popular steganographic methods that encode the secret message within the least significant bits of the carrier image, our approach compresses and distributes the secret image's representation across all of the available bits.

Steganography is the practice of concealing a secret message within another, ordinary, message. Commonly, steganography is used to unobtrusively hide a small message within the noisy regions of a larger image. In this study, we attempt to place a full size color image within another image of the same size. Deep neural networks are simultaneously trained to create the hiding and revealing processes and are designed to specifically work as a pair. The system is trained on images drawn randomly from the ImageNet database, and works well on natural images from a wide variety of sources. Beyond demonstrating the successful application of deep learning to hiding images, we carefully examine how the result is achieved and explore extensions. Unlike many popular steganographic methods that encode the secret message within the least significant bits of the carrier image, our approach compresses and distributes the secret image's representation across all of the available bits.

Amazon Prime Day is live. See the best deals HERE. Clues are left behind in the ruins of the Mesoamerican megacity Teotihuacan. Breakthroughs, discoveries, and DIY tips sent every weekday. At the height of its power, the ancient Mesoamerican city of Teotihuacan near present-day Mexico City was home to over 125,000 inhabitants.

Despite the importance of shape perception in human vision, early neural image classifiers relied less on shape information for object recognition than other (often spurious) features. While recent research suggests that current large Vision-Language Models (VLMs) exhibit more reliance on shape, we find them to still be seriously limited in this regard. To quantify such limitations, we introduce IllusionBench, a dataset that challenges current cutting-edge VLMs to decipher shape information when the shape is represented by an arrangement of visual elements in a scene. Our extensive evaluations reveal that, while these shapes are easily detectable by human annotators, current VLMs struggle to recognize them, indicating important avenues for future work in developing more robust visual perception systems.

The authors present a new steganography technique based on deep neural networks to simultaneously conduct hiding and revealing as a pair. The main idea is to combine two images of the same size together. The trained process aims to compress the information from the secret image into the least noticeable portions of the cover image and consists of three processes: a prep-Network for encoding features, the Hiding Network creates a container image, and a Reveal Network for decoding the transmitted container image. On the positive side, the proposed technique seems novel and clever, although it uses/modifies existing deep learning frameworks and therefore should be viewed as an application paper. The experiments are comprehensive and the results are convincing.

Scientists say they have discovered a giant volcano hidden in plain sight on Mars. The volcano, temporarily named the Noctis, spans 280 miles wide and was discovered alongside a buried ice glacier to the east of Mars, near the red-planet's equator, scientists revealed at the 55th Lunar and Planetary Science Conference held in Texas on Wednesday. Scientists said the 29,600-foot-high volcano was active from ancient through recent times and with possible remnants of glacier ice near its base. They say its discovery points to an exciting new place to search for life and a potential destination for future robotic and human exploration. The findings were detailed in a new study by the SETI Institute and the Mars Institute based at NASA Ames Research Centre. Scientists have discovered a gigantic volcano on Mars that spans 280 miles wide and and nearly 30,000 feet high near the red-planet's equator, (NASA/USGS Mars globe.

From Hollywood strikes to digital portraits, AI's potential to steal creatives' work and how to stop it has dominated the tech conversation in 2023. The latest effort to protect artists and their creations is Nightshade, a tool allowing artists to add undetectable pixels into their work that could corrupt an AI's training data, the MIT Technology Review reports. University of Chicago professor Ben Zhao and his team created Nightshade, which is currently being peer reviewed, in an effort to put some of the power back in artists' hands. They tested it on recent Stable Diffusion models and an AI they personally built from scratch. Nightshade essentially works as a poison, altering how a machine-learning model produces content and what that finished product looks like.

Diffusion Models (DMs) have recently set state-of-the-art on many generation benchmarks. However, there are myriad ways to describe them mathematically, which makes it difficult to develop a simple understanding of how they work. In this survey, we provide a concise overview of DMs from the perspective of dynamical systems and Ordinary Differential Equations (ODEs) which exposes a mathematical connection to the highly related yet often overlooked class of energy-based models, called Associative Memories (AMs). Energy-based AMs are a theoretical framework that behave much like denoising DMs, but they enable us to directly compute a Lyapunov energy function on which we can perform gradient descent to denoise data. We then summarize the 40 year history of energy-based AMs, beginning with the original Hopfield Network, and discuss new research directions for AMs and DMs that are revealed by characterizing the extent of their similarities and differences

It will soon become easy for self-driving cars to hide in plain sight. The rooftop lidar sensors that currently mark many of them out are likely to become smaller. Mercedes vehicles with the new, partially automated Drive Pilot system, which carries its lidar sensors behind the car's front grille, are already indistinguishable to the naked eye from ordinary human-operated vehicles. Is this a good thing? As part of our Driverless Futures project at University College London, my colleagues and I recently concluded the largest and most comprehensive survey of citizens' attitudes to self-driving vehicles and the rules of the road.