Tootfinder

Una muy buena noticia para frikis selfhosters: salió la primera versión estable de immich
https://github.com/immich-app/immich/discussions/22546
Immich es un software autoalojable para gestion y almacenamiento de fotos. Yo lo uso desde hace mas de un año y me ha gusta…

Sample-Aware Test-Time Adaptation for Medical Image-to-Image Translation
Irene Iele, Francesco Di Feola, Valerio Guarrasi, Paolo Soda
https://arxiv.org/abs/2508.00766 https://…

Sample-Aware Test-Time Adaptation for Medical Image-to-Image Translation
Image-to-image translation has emerged as a powerful technique in medical imaging, enabling tasks such as image denoising and cross-modality conversion. However, it suffers from limitations in handling out-of-distribution samples without causing performance degradation. To address this limitation, we propose a novel Test-Time Adaptation (TTA) framework that dynamically adjusts the translation process based on the characteristics of each test sample. Our method introduces a Reconstruction Module…

»Warum Cyberkriminelle Europa vermehrt ins Visier nehmen:
Ransomware-Angriffe, Vishing-Kampagnen und staatlich unterstützte Spionageaktivitäten prägen laut Crowdstrike den europäischen Cyberraum. Fast ein Viertel der weltweiten Angriffe entfällt auf Europa.«
Ich lasse es mal so hier stehen, denn mMn kommt dies nicht überraschend auf uns zu — sprich ist schon da.
👉

Warum Cyberkriminelle Europa vermehrt ins Visier nehmen
Ransomware-Angriffe, Vishing-Kampagnen und staatlich unterstützte Spionageaktivitäten prägen laut Crowdstrike den europäischen Cyberraum. Fast ein Viertel der weltweiten Angriffe entfällt auf Europa.

Die Arbeitswelt hat sich nachhaltig verändert! 🏠💻 Neue Zahlen des ifo-Instituts zeigen: Homeoffice ist gekommen, um zu bleiben. Im August arbeiteten 24,4 Prozent aller Beschäftigten in Deutschland zumindest teilweise von zu Hause aus.
Zum Artikel: https://heis…

Google says Gemini 2.5 Flash Image, aka Nano Banana, is now generally available and supports more aspect ratios, priced at $0.039/image and $30/1M output tokens (Google Developers Blog)
https://developers.googleblog.com/en/gemini-2…

Gemini 2.5 Flash Image now ready for production with new aspect ratios- Google Developers Blog
Our state-of-the-art image generation and editing model which has captured the imagination of the wo...

När en israelisk attack dödar många civila, sjukvårdspersonal eller hjälparbetare blir beskedet ofta att en militär internutredning ska göras.
Men 88 procent har inte lett till någon känd åtgärd, visar en ny rapport. #Gaza ht…

Inga fel hittade i nio av tio av Israels internutredningar sedan oktober 2023
Inga fel hittade i nio av tio av Israels internutredningar sedan i oktober 2023.

https://cyberscoop.com/ianis-antropenko-zeppelin-ransomware-russian-cybercrime/
“Ianis Aleksandrovich Antropenko exemplifies the profile of a modern cybercriminal, yet, unlike many others who have faced strict prosecution for similar offenses, the …

MIHBench: Benchmarking and Mitigating Multi-Image Hallucinations in Multimodal Large Language Models
Jiale Li, Mingrui Wu, Zixiang Jin, Hao Chen, Jiayi Ji, Xiaoshuai Sun, Liujuan Cao, Rongrong Ji
https://arxiv.org/abs/2508.00726

MIHBench: Benchmarking and Mitigating Multi-Image Hallucinations in Multimodal Large Language Models
Despite growing interest in hallucination in Multimodal Large Language Models, existing studies primarily focus on single-image settings, leaving hallucination in multi-image scenarios largely unexplored. To address this gap, we conduct the first systematic study of hallucinations in multi-image MLLMs and propose MIHBench, a benchmark specifically tailored for evaluating object-related hallucinations across multiple images. MIHBench comprises three core tasks: Multi-Image Object Existence Hallu…

Mix-modal Federated Learning for MRI Image Segmentation
Guyue Hu, Siyuan Song, Jingpeng Sun, Zhe Jin, Chenglong Li, Jin Tang
https://arxiv.org/abs/2509.02541 https://

Mix-modal Federated Learning for MRI Image Segmentation
Magnetic resonance imaging (MRI) image segmentation is crucial in diagnosing and treating many diseases, such as brain tumors. Existing MRI image segmentation methods mainly fall into a centralized multimodal paradigm, which is inapplicable in engineering non-centralized mix-modal medical scenarios. In this situation, each distributed client (hospital) processes multiple mixed MRI modalities, and the modality set and image data for each client are diverse, suffering from extensive client-wise m…

Faster and Better: Reinforced Collaborative Distillation and Self-Learning for Infrared-Visible Image Fusion
Yuhao Wang, Lingjuan Miao, Zhiqiang Zhou, Yajun Qiao, Lei Zhang
https://arxiv.org/abs/2509.02424

Faster and Better: Reinforced Collaborative Distillation and Self-Learning for Infrared-Visible Image Fusion
Infrared and visible image fusion plays a critical role in enhancing scene perception by combining complementary information from different modalities. Despite recent advances, achieving high-quality image fusion with lightweight models remains a significant challenge. To bridge this gap, we propose a novel collaborative distillation and self-learning framework for image fusion driven by reinforcement learning. Unlike conventional distillation, this approach not only enables the student model t…