the Network of Excellence
No mentions found
This entity hasn't been tracked yet, or Iris is still building its knowledge base.
Related Articles from SNS
UniPixie: Unified and Probabilistic 3D Physics Learning via Flow Matching
arXiv:2606.05399v1 Announce Type: new Abstract: Existing feed-forward networks excel at predicting a single set of physical properties from visual appearance, but this point-estimate paradigm fundamentally fails to capture the real world's inherent physical ambiguity. We address this by reframing physics prediction as a task of learning a controllable, continuous distribution of material properties. We introduce UNIPIXIE, a framework trained to predict a continuous and parameterized path of...
An Adaptive Data cleaning Framework for Noisy Label Detection
arXiv:2606.07086v1 Announce Type: new Abstract: Deep neural networks (DNNs) excel in computer vision tasks given large annotated datasets. In real-world applications, however, labels are often corrupted by ambiguity, human error, or dynamic environments. Over-parameterized DNNs easily memorize these noisy labels during training, degrading model accuracy and generalization.
BMCR: Adaptive Backbone Module Composition via Reinforcement Learning for Remote Sensing Object Detection
arXiv:2606.05586v1 Announce Type: new Abstract: In remote sensing object detection, Convolutional Neural Networks (CNNs) excel at capturing local details while Vision Transformers (ViTs) are better at global context modeling. However, existing detectors typically rely on a single fixed backbone or a manually designed hybrid architecture, and thus fail to adaptively exploit these complementary strengths across inputs of diverse complexity.
Fixed Aggregation Features Can Rival GNNs
arXiv:2601.19449v2 Announce Type: replace Abstract: Graph neural networks (GNNs) are widely believed to excel at node representation learning through trainable neighborhood aggregations. We challenge this view by introducing Fixed Aggregation Features (FAFs), a training-free approach that transforms graph learning tasks into tabular problems. This simple shift enables the use of well-established tabular methods, offering strong interpretability and the flexibility to deploy diverse classifiers.
DBHN-Net: Dual-Branch Hybrid Neural Network For Low-Complexity Monaural Speech Enhancement
arXiv:2606.05911v1 Announce Type: new Abstract: Although artificial neural network (ANN) based speech enhancement (SE) methods demonstrate excellent performance, the high computational complexity and high energy consumption hinder their deployment in practical front-end processing tasks.} Currently, the spiking neural networks (SNNs) have shown potential in reducing power consumption. However, the discrete binary activation and complex spatio-temporal dynamics of SNNs often result in...
New bulk-billing contraceptive centres aim to combat information void
Federal government hopes bulk-billing contraceptive centres will empower more women Fri 5 Jun 2026 at 6:20am In short: Experts have reported that fewer young people worldwide are using hormonal contraceptives, including long-acting reversible contraceptives like the IUD or Implanon, and uptake is even lower in Australia than in comparable countries. They point to barriers like cost, availability of services, and a lack of information, with added misinformation meaning people are less able to...
When drug discovery fails: scientists share their frustrations with the process
Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer).
How Turkey Hacked the Hair Transplant Industry
The astounding growth of the hair-transplant industry in Turkey is not just a medical tourism success story; it’s also a tale of “hacked” medical equipment and algorithmic craftsmanship. From a biological and evolutionary perspective, human hair is often viewed as an unremarkable mass of keratin that still plays some important functions—protecting our scalps from the sun’s harmful ultraviolet rays and regulating our body temperatures—but, for the most part, is no longer essential to our...
Scientists mapped every neural connection in a fruit fly and found a surprise
Scientists mapped every neural connection in a fruit fly and found a surprise Scientists have completed the first full brain-to-body wiring map of a fruit fly, revealing that behavior may be driven more by local neural teamwork than by a central brain command center. - Date: - June 10, 2026 - Source: - Harvard Medical School - Summary: - A groundbreaking new connectome maps every neural connection in an adult fruit fly’s central nervous system, creating an unprecedented view of how the brain...
Hong Kong school seeks ‘excellent character’ in new head after Singapore swearing row
Hong Kong school seeks ‘excellent character’ in new head after Singapore swearing row Vacancy announced after principal Lee Cheuk-hing’s summary dismissal over swearing at security guards during Singapore school trip A Hong Kong school that instantly dismissed its principal after he was filmed swearing at security guards in Singapore has published an advertisement to recruit a new head, requiring applicants to have “excellent character”. The advertisement was posted on the school’s website...