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PicoSAM3: Real-Time In-Sensor Region-of-Interest Segmentation
arXiv:2603.11917v2 Announce Type: replace Abstract: Real-time, on-device segmentation is critical for latency-sensitive and privacy-aware applications such as smart glasses and Internet-of-Things devices. We introduce PicoSAM3, a lightweight promptable visual segmentation model optimized for edge and in-sensor execution, including deployment on the Sony IMX500 vision sensor. PicoSAM3 has 1.3M parameters and combines a dense CNN architecture with region of interest prompt encoding, Efficient...
Anti-cartel candidate 'The Tiger' channels Trump and Bukele in Colombia election shocker
Colombia’s first-round presidential election, won by tough-talking conservative Abelardo de la Espriella, signaled what analysts describe as a growing backlash across Latin America against leftist governments. The presidential election could carry significant implications for U.S. interests in the region, including drug trafficking, migration and regional stability, as voters increasingly prioritize security, counternarcotics policies and economic stability ahead of a June 21 runoff between...
Correlative SHG-AFM imaging workflow for label-free quantitative analysis of collagen structure-function relationships
We present a user-friendly correlative second harmonic generation (SHG) and atomic force microscopy (AFM) imaging workflow for quantifying the nanomechanical properties of collagen in unfixed, unlabeled tissue sections. SHG Aligned Profiling for Elasticity and Segmentation or SHAPES utilizes SHG imaging to guide AFM force mapping, enabling label-free, anatomically specific selection of regions of interest, facilitating spatially resolved characterization of fibrous collagen morphology and...
Iran rejects idea of using its assets to pay damages to US allies
Iran rejects idea of using its assets to pay damages to US allies During the war, Iran launched missile and drone attacks on several Gulf countries, saying it was targeting US and Israeli interests in the region. Iran's Deputy Foreign Minister Kazem Gharibabadi said on Sunday (Jun 7) that regional governments were "not in a position to demand reparations", responding to what he said were reports that the US could use Iranian assets to compensate regional allies for war-related damages....
Researchers ask us to rethink the ways we see and study the Arctic
Researchers ask us to rethink the ways we see and study the Arctic Lisa Lock Scientific Editor Andrew Zinin Lead Editor The Arctic and sub-Arctic are places where communities already live, produce knowledge and self-govern. Yet recent geopolitical and economic involvement are bringing renewed interest in the region. Since the 1990s, research output about the Arctic has doubled, with approximately 11,000 Arctic-focused publications now produced annually.
Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks
arXiv:2605.18861v3 Announce Type: replace Abstract: We present a deep neural net-based region of interest detection method (DNN ROI) for signal processing in the liquid argon time projection chambers of the Short-Baseline Neutrino (SBN) Program, SBND and ICARUS. DNN ROI addresses limitations of the traditional wire-by-wire thresholding algorithm by leveraging the full two-dimensional detector readout and cross-plane matching information. To account for detector performance variations, we...
Experimental Validation of Skull Acoustic Modelling Strategies for Transcranial Focused Ultrasound Simulation: A Cross-Comparison Study
arXiv:2606.09497v1 Announce Type: new Abstract: Accurate acoustic modelling of the skull is essential for simulation-guided transcranial focused ultrasound (tFUS), but commonly used skull parameterisation strategies differ in complexity and reported accuracy. This study experimentally compared five k-Wave skull models: two voxel-wise linear mapping models, two three-layer models, and one single-layer fixed-parameter model. Nineteen regions of interest from five historical and two...
MAPRPose: Mask-Aware Proposal and Amodal Refinement for Multi-Object 6D Pose Estimation
Announce Type: replace Abstract: 6D object pose estimation in cluttered scenes remains challenging due to severe occlusion and sensor noise. We propose MAPRPose, a two-stage framework that leverages mask-aware correspondences for pose proposal and amodal-driven Region-of-Interest (ROI) prediction for robust refinement. In the Mask-Aware Pose Proposal (MAPP) stage, we lift 2D correspondences into 3D space to establish reliable keypoint matches and generate geometrically consistent pose...
Multi-Modal Graph Neural Network with Transformer-Guided Adaptive Diffusion for Preclinical Alzheimer Classification
arXiv:2606.03322v1 Announce Type: new Abstract: The graphical representation of the brain offers critical insights into diagnosing and prognosing neurodegenerative disease via relationships between regions of interest (ROIs). Despite recent emergence of various Graph Neural Networks (GNNs) to effectively capture the relational information, there remain inherent limitations in interpreting the brain networks. Specifically, convolutional approaches ineffectively aggregate information from...
New Combinations of Polynomial Root-Finding Iterations
Announce Type: replace Abstract: Some near-optimal polynomial root-finders of 2024-25, based on subdivision iterations, approximate all complex roots of a polynomial or all roots lying in a fixed Region of Interest in the complex plane. We combine these iterations with Newton's and/or Schroeder's to yield significant empirical acceleration versus each approach standing alone. Like the cited recent algorithms, our root-finders can be applied not only to a polynomial represented in monomial...