America’s Chip Restrictions Are Biting in China - WSJ
America’s Chip Restrictions Are Biting in China WSJ
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TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising
arXiv:2604.04484v1 Announce Type: new Abstract: Blind-spot networks (BSNs) enable self-supervised image denoising by preventing access to the target pixel, allowing clean signal estimation without ground-truth supervision. However, this approach assumes pixel-wise noise independence, which is violated in real-world sRGB images due to spatially correlated noise from the camera's image signal processing (ISP) pipeline. While several methods employ downsampling to decorrelate noise, they alter noise statistics and limit the network's ability to utilize full contextual information. In this paper, we propose the Triangular-Masked Blind-Spot Network (TM-BSN), a novel blind-spot architecture that accurately models the spatial correlation of real sRGB noise. This correlation originates from demosa
Agents for Agents: An Interrogator-Based Secure Framework for Autonomous Internet of Underwater Things
arXiv:2604.04262v1 Announce Type: new Abstract: Autonomous underwater vehicles (AUVs) and sensor nodes increasingly support decentralized sensing and coordination in the Internet of Underwater Things (IoUT), yet most deployments rely on static trust once authentication is established, leaving long-duration missions vulnerable to compromised or behaviorally deviating agents. In this paper, an interrogator based structure is presented that incorporates the idea of behavioral trust monitoring into underwater multi-agent operation without interfering with autonomy. Privileged interrogator module is a passive communication metadata analyzer that uses a lightweight transformer model to calculate dynamic trust scores, which are used to authorize the forwarding of mission critical data. Suspicious
UniSurgSAM: A Unified Promptable Model for Reliable Surgical Video Segmentation
arXiv:2604.03645v1 Announce Type: new Abstract: Surgical video segmentation is fundamental to computer-assisted surgery. In practice, surgeons need to dynamically specify targets throughout extended procedures, using heterogeneous cues such as visual selections, textual expressions, or audio instructions. However, existing Promptable Video Object Segmentation (PVOS) methods are typically restricted to a single prompt modality and rely on coupled frameworks that cause optimization interference between target initialization and tracking. Moreover, these methods produce hallucinated predictions when the target is absent and suffer from accumulated mask drift without failure recovery. To address these challenges, we present UniSurgSAM, a unified PVOS model enabling reliable surgical video segm
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Diffusion Policy with Bayesian Expert Selection for Active Multi-Target Tracking
arXiv:2604.03404v1 Announce Type: new Abstract: Active multi-target tracking requires a mobile robot to balance exploration for undetected targets with exploitation of uncertain tracked ones. Diffusion policies have emerged as a powerful approach for capturing diverse behavioral strategies by learning action sequences from expert demonstrations. However, existing methods implicitly select among strategies through the denoising process, without uncertainty quantification over which strategy to execute. We formulate expert selection for diffusion policies as an offline contextual bandit problem and propose a Bayesian framework for pessimistic, uncertainty-aware strategy selection. A multi-head Variational Bayesian Last Layer (VBLL) model predicts the expected tracking performance of each exp
OpenAI’s Guide to Building an Open Economy and Resilient Society
OpenAI has proposed new industrial policy guidelines which it suggests will help governments manage the disruption caused by AI. In the report titled Industrial Policy for the Intelligence Age: Ideas to Keep People First, Open AI highlights their ideas for policy change, but notes that real change requires broader collaboration to ensure superintelligence can benefit [ ] The post OpenAI’s Guide to Building an Open Economy and Resilient Society appeared first on DIGIT .
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