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Score 0 4 (normal) is most common across cohorts, while score 3 (severe) is rare--especially in PD-GaM 5 and 3DGait, highlighting class imbalance challenges. BMCLab offers a balanced ON/OFF medication split, 7 while E-LC is skewed toward ON-medication. DNE includes healthy, Parkinsonian, and other disease 8 groups for broader contrastive training. Figure A.3 shows label distributions for FoG-related cohorts. This artifact likely stems from the unusual top-down perspective--different from the front15 facing or side views seen in WHAM's training data [1]. While motion encoder-based models may be 16 robust to such distortions, feature-based gait classifiers rely on precise kinematic measurements and 17 thus require carefully corrected input data. To correct this slope artifact, we perform a frame-wise 18 rigid alignment of the reconstructed SMPL skeleton using the Kabsch algorithm [2]. The goal is to 19 rotate each frame so that anatomical directions align with canonical coordinate axes (up, forward), 20 while preserving natural gait structure. This motion 28 vector is then projected onto the ground plane (xz-plane) and used as the walking axis. In frames where the sacrum displacement is less than 30 4mm--indicating near-stationary posture--we fall back on a proxy direction: the cross product of 31 the hip vector (left hip to right hip) and the vertical vector.

Objective gait assessment in Parkinson's Disease (PD) is limited by the absence of large, diverse, and clinically annotated motion datasets. We introduce CARE-PD, the largest publicly available archive of 3D mesh gait data for PD, and the first multi-site collection spanning 9 cohorts from 8 clinical centers. All recordings (RGB video or motion capture) are converted into anonymized SMPL meshes via a harmonized preprocessing pipeline. CARE-PD supports two key benchmarks: supervised clinical score prediction (estimating Unified Parkinson's Disease Rating Scale, UPDRS, gait scores) and unsupervised motion pretext tasks (2D-to-3D keypoint lifting and full-body 3D reconstruction). Clinical prediction is evaluated under four generalization protocols: within-dataset, cross-dataset, leave-one-dataset-out, and multi-dataset in-domain adaptation. To assess clinical relevance, we compare state-of-the-art motion encoders with a traditional gait-feature baseline, finding that encoders consistently outperform handcrafted features. Pretraining on CARE-PD reduces MPJPE (from 60.8 mm to 7.5 mm) and boosts PD severity macro-F1 by 17 percentage points, underscoring the value of clinically curated, diverse training data. CARE-PD and all benchmark code are released for non-commercial research at https://neurips2025.care-pd.ca.

We begin by identifying terminal signal-to-noise a fundamental ratio obstacle (SNR) schedules to deterministic and resolv inv e ersion it by introducing arising from a no zerovel noise representation, termed K-order Recursive Noise Representation.

Recent advancements in generative models have enabled high-fidelity text-to-image generation. However, open-source image-editing models still lag behind their proprietary counterparts, primarily due to limited high-quality data and insufficient benchmarks. To overcome these limitations, we introduce ImgEdit, a largescale, high-quality image-editing dataset comprising one million carefully curated edit pairs, which contain both novel and complex single-turn edits, as well as challenging multi-turn tasks. To ensure the data quality, we employ a multi-stage pipeline that integrates a cutting-edge vision-language model, a detection model, a segmentation model, alongside task-specific in-painting procedures and strict postprocessing.

Alex Bores, a Democrat from New York vying for a House seat, during a'Get Out The Vote' rally on the first day of early voting for a primary election in New York City. Alex Bores, a Democrat from New York vying for a House seat, during a'Get Out The Vote' rally on the first day of early voting for a primary election in New York City. New York City House primary emerges as key battleground in'AI civil war' T he artificial intelligence industry is spending heavily in the 2026 midterms, hoping to secure influence over the technology's first generation of legislation - and New York City's primary has emerged as the key battleground. AI-focused Super Pacs have raised over $100m this cycle, of which $49m has been spent so far, in dozens of congressional races across the country. Half of all spending has converged on a single Manhattan race: Tuesday's Democratic primary in the district of NY-12.

Cybersecurity agencies from the Five Eyes alliance have issued a joint statement on AI after the US blocked Anthropic's much-hyped Fable. Cybersecurity agencies from the Five Eyes alliance have issued a joint statement on AI after the US blocked Anthropic's much-hyped Fable. Signal agencies in Australia, the US, the UK, New Zealand and Canada sound alarm after Trump blocks foreign nationals from Anthropic's Fable AI model Powerful AI models capable of devastating new cyber attacks on governments and businesses are mere months away, intelligence agencies for the Five Eyes have warned in a rare joint statement, urging leaders to "act now". The surprising public intervention by signals agencies for Australia, the US, the UK, New Zealand and Canada comes after the Trump administration earlier this month decided to block "foreign nationals" from using a much-hyped AI model built by tech company Anthropic, called Fable. The statement, issued late on Monday night, Sydney time, said while AI "would help us improve cyber defence over time, it also accelerates the speed, scale, and sophistication of cyber threats".

PCWorld reports Intel is targeting budget gamers with affordable CPUs and GPUs while Nvidia and AMD shift focus to AI and high-end markets. Rising AI data center demand has increased memory and storage costs, making PC building more expensive for enthusiasts with limited budgets. Intel's upcoming Nova Lake processors and extended XeSS support for older GPUs aim to deliver accessible performance improvements for budget-conscious gamers. Budget PC gamers have had little to celebrate in 2026. Intel may be trying to change that. It's hard not to feel despondent about the state of PC building right now.

Environment Animals Wildlife Dwarf mongooses don't just wait for danger 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. 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 . While warfare seems like a deeply human conflict, a tiny carnivore also makes its own strategic moves before battle. The warriors in question are common dwarf mongooses (), the smallest carnivore in Africa.

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