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Pulse · cbs8.com

cbs8.com · Oct 24

Banks push back as AI agents enter customer accounts, raising concerns about unauthorized activity

Pulse · forkast.news

forkast.news · Oct 24

Banks Preparing for Aftermath of Unprecedented Catastrophe Caused by AI

Retailers plan to be agent-ready in two years. The calendar is less patient: Apple's HomeView ships Nov 13, Wells Fargo's AI-agent terms take effect Nov 24, Black Friday falls Nov 27 — and only 15% of merchants hold the data agents need.

Pulse · enterpriseai.economictimes.indiatimes.com

enterpriseai.economictimes.indiatimes.com · Oct 24

China's Moonshot AI launches Kimi K3.1 Pro; plans full model weights release by November

Moonshot AI has launched Kimi K3.1 Pro, a groundbreaking 3-trillion-parameter AI model with advanced features like a 1-million-token context window and unmatched performance across various applications. Full model weights will be released by November 4.

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arXiv

Oct 22

A Unified Framework for Image-to-3D Part Generation via Variable Granularity

Controllable 3D part generation is pivotal for digital asset creation, yet existing methods lack the flexibility to accommodate diverse user workflows requiring varying levels of control. In this paper, we introduce FlexPart, a unified image-to-3D part generation framework that supports variable-granularity geometric conditions within a single model. By seamlessly integrating heterogeneous inputs, ranging from sparse points to dense bounding boxes and masks, via gated adaptive modulation, FlexPart unlocks a powerful cross-modal synergy. We also propose an asymmetric geometric guidance mechanism that leverages strong spatial priors to align representations across granularities, improving geometric consistency and facilitating inter-task synergy. Under mask conditioning on PartVerseXL, FlexPart reduces Part CD by 16.6% relative to TripoSG + SAM3D and by 10.5% relative to OmniPart, while maintaining competitive whole-mesh quality. The code can be found at https://github.com/Gucci233/FlexPart

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arXiv

Sep 25

Skip the Talk, Re-Focus on Vision: Latent Reasoning for Reasoning Segmentation in Multimodal Large Language Models

Reasoning segmentation aims to interpret implicit textual queries and enable fine-grained visual perception, which is critical for applications such as human-computer interaction and embodied agents. Existing methods typically generate explicit Chain-of-Thought (CoT) by…

arXiv

Sep 25

Missingness-Aware Conformal Prediction Under Cross-Hospital Distribution Shift

Clinical measurements are recorded for some patients but not others, at rates that differ across hospitals, and marginal conformal coverage does not ensure coverage within groups defined by missingness. We propose a missingness-aware conformal calibration procedure for…

arXiv

Sep 25

Learning Natural Conversational Behavior in Tandem Speech-to-Speech Models with Randomized Guidance

Tandem speech-to-speech architectures couple a responsive speech frontend with an asynchronous text backend. In KAME, a large language model (LLM) serves as the backend, supplying candidate responses as guidance to the speech frontend while the user is still speaking. Ordinary…

arXiv

Sep 25

NavGen: Visual Generative Models as a Scalable Data Engine for Embodied 3D Navigation

General-purpose robot models increasingly rely on large and diverse datasets. For embodied 3D navigation, however, existing data sources face a fundamental trade-off: simulated data can be generated at scale but often suffer from the visual sim-to-real gap, whereas real-world…

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