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The Shadows Lurking in the Equations – Underwater Islands
The article introduces FuzzyGraph, a web tool that visualizes equations as error heatmaps (fuzzy/non‑binary mode) instead of the classic binary “exact‑equals” plots. By showing regions of high error (black‑hole shadows) and low error (underwater islands), the author argues that fuzzy graphs reveal mathematical features invisible to conventional graphing tools.
Hacker News front pagegods.art4 minHN7013FAMOS: Feed-Forward 3D Articulation Modeling from Sparse Observations
FAMOS is a feed-forward model that predicts 3D articulation, including movable-part segmentation and joint parameters, from sparse, unordered point clouds. It leverages multiple observations through a Multi-state Articulation Transformer and a novel observed articulation span objective, outperforming existing baselines.
Hugging Face Daily Papersarxiv.org1 minpaperMira-Scene: Pixel-Aligned Layouts for Generative 3D Scene
Mira-Scene proposes a compositional 3D scene reconstruction pipeline that replaces sparse pose regression with a dense Canonical Coordinate Map (CCM) linking image pixels to bounded object space. Coupled with a diffusion transformer, it achieves up to 40% higher 3D‑IoU than prior methods without scene‑level layout annotations.
Hugging Face Daily Papersarxiv.org1 minpaperLLaDA-UI: Bringing Block-wise Diffusion to Vision-Language GUI Agents
LLaDA‑UI is a 16.7 B‑parameter Mixture‑of‑Experts vision‑language model that uses block‑wise diffusion to generate GUI actions in parallel. It achieves state‑of‑the‑art performance on multiple GUI grounding and navigation benchmarks, beating larger Qwen models while keeping decoding latency low.
Hugging Face Daily Papersarxiv.org1 minpaperVABench: Measuring Embodied Spatial Intelligence through Visual Demonstrations, Active Perception, and Metric Control
VA‑Bench is a new benchmark that evaluates general‑purpose multimodal LLMs on the full observe‑reason‑act‑revise loop in embodied robotics, using RGB demonstrations, active camera control, and metric Cartesian commands. The best model reaches 53.9% average task success, showing active perception helps but long‑horizon tasks remain unsolved.
Hugging Face Daily Papersarxiv.org1 minpaperAlibaba open-sources AI model that can detect cancer and nearly 150 conditions
Alibaba's Damo Academy open-sourced Damo Radar, an AI model that detects nearly 150 abdominal conditions, including cancers, from CT scans. It achieved an average AUC of 0.913 across 146 clinical findings and outperformed most human radiologists in a comparative study.
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