It may reduce time, but comes with the risk of fabricated data. 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. Can AI systems be trusted to reflect the reality of a car crash? One law enforcement agency in Japan reportedly wants to make something normally confined to sci-fi crime thrillers a reality: interactive, AI-powered reconstructions of real-world accidents. According to Tokyo's Metropolitan Department is developing a system that combines AI with security camera footage and 3D spatial data captured by camera-equipped mapping vehicles to digitally reconstruct traffic accidents.

Grok Says Its AI-Generated Version of Is'Not Historically Accurate' Months after Elon Musk declared that the xAI model would outclass Christopher Nolan's mythological epic, the bot itself admitted defeat. You don't hear the defenders of so-called western civilization talk much about these days. Maybe that's because their rabid denunciations of Christopher Nolan's film adaptation of Homer's epic were buried in an avalanche of money. The July blockbuster has grossed nearly $1.8 billion worldwide, silencing the right-wingers who predicted a massive flop due to diverse casting and deviations from the source material. Perhaps the loudest of these preemptive critics was Elon Musk.

You're viewing the US edition You can switch to the UK, AU or IE homepage at any time using this menu. Transgender New York Times executive who was shot dead'by his in-laws' abused BOTH his young children and left them with head injuries, wife claims Christopher Reeve's son Will, 34, reveals rare testicular cancer diagnosis Madonna's family make intervention: After forgetful and embarrassing VMAs comeback, insiders reveal clash between'control freak' star and her team Nobody wants to say this about Cindy Crawford after her son Presley Gerber's death... but maybe someone should: MAUREEN CALLAHAN Trump's Canadian whisky ban hits Americans TODAY as trade war escalates - but President faces brutal warning from US experts Taylor Swift's unreleased suicide note song: Tracks the world was never meant to hear... including one her co-writer said is'the most chilling he's ever heard' The forgotten slimming pill that could be better for you than Mounjaro... and it's cheaper: Our experts ...

See gladiators fight in the amphitheater and Mount Vesuvius explode. 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. Pompeii's forum comes back to life in a new app called Histoury. 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 .

Using archaeological evidence, historical records and cutting-edge 3D technology, experts have created the first scientifically accurate reconstruction of Nassau during the Golden Age of Piracy. The digital model strips away centuries of Hollywood myth to reveal what the notorious pirate stronghold actually looked like in the early 1700s. Far from a bustling colonial city lined with grand stone buildings, Nassau was little more than a ramshackle settlement of wooden huts, pirate camps and crumbling ruins. The reconstruction also revives some of history's most infamous buccaneers, including Blackbeard, Anne Bonny, Calico Jack Rackham and Benjamin Hornigold, using AI based on historical engravings and contemporary descriptions. The recreations will feature in the finale of Wreckwatch TV's series about the real pirates of the Caribbean, Mystery of the Pirate King's Treasure.

In this paper, we study Nyström subsampling for vector-valued regression in vector-valued reproducing kernel Hilbert spaces. Standard kernel methods often suffer from prohibitive computational costs due to the construction and inversion of large kernel matrices, which limits their scalability to large datasets. To overcome this bottleneck, we propose an efficient operator learning algorithm based on Nyström subsampling that accommodates functional outputs. Under general source conditions characterized by index functions-extending beyond the classical Hölder-type and operator-monotone frameworks-we establish minimax-optimal convergence rates for the proposed estimator. As an application of the proposed framework, we consider function denoising problems. Unlike classical denoising methods, which are typically tailored to specific signal representations or noise models, our approach formulates denoising within a general operator learning framework. Numerical experiments on signal denoising, real-time audio denoising, image denoising, inverse Radon transform reconstruction, and energy-efficiency prediction confirm that the proposed method achieves performance comparable to full kernel methods while substantially reducing computational cost.

We present VGGT-SLAM, a dense RGBSLAM system constructed by incrementally and globally aligning submaps created from the feed-forward scene reconstruction approach VGGT using only uncalibrated monocular cameras. While related works align submaps using similarity transforms (i.e., translation, rotation, and scale), we show that such approaches are inadequate in the case of uncalibrated cameras. In particular, we revisit the idea of reconstruction ambiguity, where given a set of uncalibrated cameras with no assumption on the camera motion or scene structure, the scene can only be reconstructed up to a 15-degreesof-freedom projective transformation of the true geometry. This inspires us to recover a consistent scene reconstruction across submaps by optimizing over the SL(4) manifold, thus estimating 15-degrees-of-freedom homography transforms between sequential submaps while accounting for potential loop closure constraints. As verified by extensive experiments, we demonstrate that VGGTSLAM achieves improved map quality using long video sequences that are infeasible for VGGT due to its high GPU requirements.

Free-mo ticularly ving without object reliable reconstruction pose or depth from cues monocular and under video arbitrary remains object challenging, motion.

We introduce PARTCRAFTER, the first structured 3D generative model that jointly synthesizes multiple semantically meaningful and geometrically distinct 3D meshes from a single RGB image. Unlike existing methods that either produce monolithic 3D shapes or follow two-stage pipelines, i.e. first segmenting an image and then reconstructing each segment, PARTCRAFTER adopts a unified, compositional generation architecture that does not rely on pre-segmented inputs.

Event-based structured light (SL) systems have attracted increasing attention for their potential in high-performance 3D measurement. Despite the inherent HDR capability of event cameras, reflective and absorptive surfaces still cause event clutter and absence, which produce overexposed and underexposed regions that degrade the reconstruction quality. In this work, we present the first HDR 3D measurement framework specifically designed for event-based SL systems. First, we introduce a multi-contrast HDR coding strategy that facilitates imaging of areas with different reflectance. Second, to alleviate inter-frame interference caused by overexposed and underexposed areas, we propose a universal confidence-driven stereo matching strategy. Specifically, we estimate a confidence map as the fusion weight for features via an energy-guided confidence estimation.