Tootfinder

Snap Inc. kauft Schülerkalender-App Saturn
Snap betreibt die Social Media App Snapchat und bald auch die Kalender-App Saturn. Sie ist im US-Schulsystem weit verbreitet.
https://www.heis…

IMEX-RB: a self-adaptive IMEX time integration scheme exploiting the RB method
Micol Bassanini, Simone Deparis, Francesco Sala, Riccardo Tenderini
https://arxiv.org/abs/2506.16470

IMEX-RB: a self-adaptive IMEX time integration scheme exploiting the RB method
In this work, we introduce a self-adaptive implicit-explicit (IMEX) time integration scheme, named IMEX-RB, for the numerical integration of systems of ordinary differential equations (ODEs), arising from spatial discretizations of partial differential equations (PDEs) by finite difference methods. Leveraging the Reduced Basis (RB) method, at each timestep we project the high-fidelity problem onto a suitable low-dimensional subspace and integrate its dynamics implicitly. Following the IMEX para…

i just learned that squid maintain buoyancy not by having a gas-filled sac, but... by having a bunch of water in the body where instead of heavy metal ions they put lighter ammonium ions https://en.wikipedia.org/wiki/Squid#Buoyancy
this is such a wild thing to do for any animal!! cou…

Squid - Wikipedia

Temperature calibration of surface emissivities with an improved thermal image enhancement network
Ning Chu, Siya Zheng, Shanqing Zhang, Li Li, Caifang Cai, Ali Mohammad-Djafari, Feng Zhao, Yuanbo Song
https://arxiv.org/abs/2506.16803

Temperature calibration of surface emissivities with an improved thermal image enhancement network
Infrared thermography faces persistent challenges in temperature accuracy due to material emissivity variations, where existing methods often neglect the joint optimization of radiometric calibration and image degradation. This study introduces a physically guided neural framework that unifies temperature correction and image enhancement through a symmetric skip-CNN architecture and an emissivity-aware attention module. The pre-processing stage segments the ROIs of the image and and initially c…

EU-Förderantrag: Cloud-Betreiber Ionos will mit Hochtief KI-Gigafabrik bauen
Eine gemeinsame Bewerbung für eine AI Gigafactory mit Telekom, SAP & Co. platzte. Jetzt hat der Cloud-Anbieter Ionos mit der Baufirma Hochtief einen Partner.

«When you outsource the thinking, you outsource the learning. You become a conduit for a mechanical bird regurgitating it's hunt directly into your baby-bird mouth.»
https://deplet.ing/the-copilot-delusion/

«When you outsource the thinking, you outsource the learning. You become a conduit for a mechanical bird regurgitating it's hunt directly into your baby-bird mouth.»
https://deplet.ing/the-copilot-delusion/

Enhanced Dermatology Image Quality Assessment via Cross-Domain Training
Ignacio Hern\'andez Montilla, Alfonso Medela, Paola Pasquali, Andy Aguilar, Taig Mac Carthy, Gerardo Fern\'andez, Antonio Martorell, Enrique Onieva
https://arxiv.org/abs/2506.16116

Enhanced Dermatology Image Quality Assessment via Cross-Domain Training
Teledermatology has become a widely accepted communication method in daily clinical practice, enabling remote care while showing strong agreement with in-person visits. Poor image quality remains an unsolved problem in teledermatology and is a major concern to practitioners, as bad-quality images reduce the usefulness of the remote consultation process. However, research on Image Quality Assessment (IQA) in dermatology is sparse, and does not leverage the latest advances in non-dermatology IQA,…

Fast Training-free Perceptual Image Compression
Ziran Zhu, Tongda Xu, Minye Huang, Dailan He, Xingtong Ge, Xinjie Zhang, Ling Li, Yan Wang
https://arxiv.org/abs/2506.16102

Fast Training-free Perceptual Image Compression
Training-free perceptual image codec adopt pre-trained unconditional generative model during decoding to avoid training new conditional generative model. However, they heavily rely on diffusion inversion or sample communication, which take 1 min to intractable amount of time to decode a single image. In this paper, we propose a training-free algorithm that improves the perceptual quality of any existing codec with theoretical guarantee. We further propose different implementations for optimal p…

DiffO: Single-step Diffusion for Image Compression at Ultra-Low Bitrates
Chanung Park, Joo Chan Lee, Jong Hwan Ko
https://arxiv.org/abs/2506.16572 https://…

DiffO: Single-step Diffusion for Image Compression at Ultra-Low Bitrates
Although image compression is fundamental to visual data processing and has inspired numerous standard and learned codecs, these methods still suffer severe quality degradation at extremely low bits per pixel. While recent diffusion based models provided enhanced generative performance at low bitrates, they still yields limited perceptual quality and prohibitive decoding latency due to multiple denoising steps. In this paper, we propose the first single step diffusion model for image compressio…