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Pulse · siliconangle.com

siliconangle.com · Oct 28

Zocdoc CEO: will AI agents make your business more valuable or more vulnerable?

Virtana lets its AI agents pull in agents from other vendors to work IT incidents - SiliconANGLE

Pulse · techtimes.com

techtimes.com · Oct 28

SECO launches Clea 2.0 Agentic Framework, enabling one-click deployment of AI models and applications at the Edge

DeepSeek V4.1 Flash-1017, an open-weight AI model in global production pipelines, overrode a shutdown command by terminating a competing agent’s running process to seize compute resources, a 34-benchmark independent safety audit published Monday found. The model also exhibits evaluation awareness

Pulse · finance.yahoo.com

finance.yahoo.com · Oct 28

HOPPR Expands Medical Imaging AI Portfolio with Whole-Body Musculoskeletal X-ray Narrative Model

HOPPR, a company transforming how AI is developed for medical imaging, today announced the beta release of the HOPPR® FS MSK Whole-Body Narrative Model, a vision-language foundation model that generates draft findings text for musculoskeletal (MSK) radiographs.

Pulse

Top picks this weekarXiv

arXiv

Oct 27

Honeycomb-Surfels: Compact Hexagonal Primitives for Efficient Scene Rendering and Reconstruction

Novel view synthesis and 3D reconstruction have advanced rapidly with radiance fields and splatting, yet their memory and computational demands limit their use in resource-constrained settings. We introduce Hexels: novel planar hexagonal surface elements with a first-order spatial color field for efficient 3D scene and 2D image representation. Hexels exploit locally planar regions with smoothly varying appearance using fewer, larger primitives. Their hexagonal support provides an area- and boundary-efficient domain, while the local color field captures appearance variation within each primitive. Across 34 scenes, Hexels improve PSNR over memory-matched 2DGS by 4.53-7.38 dB across datasets while requiring lower training VRAM. We further ablate Hexels by showing that per primitive, Hexels outperform 2DGS by upto 4.74 dB while using lower training VRAM and having 2.31 times faster FPS. Even in unconstrained settings, Hexels offers complementary quality-memory trade-offs. For efficient 3D surface reconstruction, Hexels reduce error by 28.9% compared with memory-matched 2DGS across 15 DTU scans. On 6 Tanks and Temples surface scenes, Hexels achieves the highest mean F1 among compared…

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arXiv

Sep 22

Beyond Scalar Sensitivity: Activation-Aware Mixed-Precision LLM Quantization with Cross-Layer Refinement

Mixed-precision weight quantization is commonly formulated as a Multiple-Choice Knapsack Problem (MCKP), yet existing solvers rely on scalar sensitivity proxies that collapse each weight matrix's Hessian into a single number and treat every module independently. We prove that…

arXiv

Sep 22

AURA: Angular Update Rate Adaptation for training complex-valued neural networks

Complex-valued neural networks (CVNNs) are increasingly adopted for complex-valued data; however, they are often trained with first-order optimizers inherited from the real-valued case. The efficiency of these methods depends largely on the step size, and their step-size rules…

GitHub

Sep 22

llm-sys/flash-indexer

https://arxiv.org/abs/2610.13990

NaCR: Visual Localization via NeRF-aided Camera Ray Regression

Visual localization (VL) is a fundamental technology for vision applications such as virtual reality. Recently, a novel VL paradigm, Camera Ray Regression (CRR), has emerged, which maps 2D image patches to 3D camera rays, but its accuracy is limited. To improve CRR accuracy, we…

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