Tootfinder

JanusVLN: Decoupling Semantics and Spatiality with Dual Implicit Memory for Vision-Language Navigation
Shuang Zeng, Dekang Qi, Xinyuan Chang, Feng Xiong, Shichao Xie, Xiaolong Wu, Shiyi Liang, Mu Xu, Xing Wei
https://arxiv.org/abs/2509.22548

JanusVLN: Decoupling Semantics and Spatiality with Dual Implicit Memory for Vision-Language Navigation
Vision-and-Language Navigation requires an embodied agent to navigate through unseen environments, guided by natural language instructions and a continuous video stream. Recent advances in VLN have been driven by the powerful semantic understanding of Multimodal Large Language Models. However, these methods typically rely on explicit semantic memory, such as building textual cognitive maps or storing historical visual frames. This type of method suffers from spatial information loss, computatio…

Sixty-five countries sign a UN cybercrime treaty to share data and extradite suspects, despite privacy and security concerns from tech companies and activists (Lien Hoang/Nikkei Asia)
https://asia.nikkei.com/spotlight/cybe

UN cybercrime treaty signed in Hanoi despite security, privacy concerns
Countries meeting in Vietnam vow mutual help to collect data, extradite suspects

Generative multi-fidelity modeling and downscaling via spatial autoregressive transport maps
Alejandro Calle-Saldarriaga, Paul F. V. Wiemann, Matthias Katzfuss
https://arxiv.org/abs/2509.22474

Generative multi-fidelity modeling and downscaling via spatial autoregressive transport maps
Spatial fields are often available at multiple fidelities or resolutions, where high-fidelity data is typically more costly to obtain than low-fidelity data. Statistical surrogates or emulators can predict high-fidelity fields from cheap low-fidelity output. We propose a highly scalable Bayesian approach that can learn the joint non-Gaussian distribution and nonlinear dependence structure of nonstationary spatial fields at multiple fidelities from a small number of training samples. Our method …

🇺🇦 #NowPlaying on KEXP's #Early
Soundgarden:
🎵 Jesus Christ Pose
#Soundgarden
https://blueheronabq.bandcamp.com/track/spotlights-jesus-christ-pose
https://open.spotify.com/track/2UoHjfejHhemj0KSWCOV2A

Spotlight on Puka Nacua intensifies as questions about Rams' star receiver evolve https://www.nytimes.com/athletic/6921810/2025/12/29/puka-nacua-rams-star-wide-receiver/

Text2Move: Text-to-moving sound generation via trajectory prediction and temporal alignment
Yunyi Liu, Shaofan Yang, Kai Li, Xu Li
https://arxiv.org/abs/2509.21919 https://

Text2Move: Text-to-moving sound generation via trajectory prediction and temporal alignment
Human auditory perception is shaped by moving sound sources in 3D space, yet prior work in generative sound modelling has largely been restricted to mono signals or static spatial audio. In this work, we introduce a framework for generating moving sounds given text prompts in a controllable fashion. To enable training, we construct a synthetic dataset that records moving sounds in binaural format, their spatial trajectories, and text captions about the sound event and spatial motion. Using this…

from my link log —
Complete spatial safety for C and C using CHERI capabilities.
https://www.cl.cam.ac.uk/techreports/UCAM-CL-TR-949.html
saved 2020-07-01

Spotlight on the GÉANT Mentoring Programme (GEM): A mentor’s perspective ✨
Today we’re sharing a story from GEM mentor Rosanna Norman, who beautifully captures what a first mentoring experience can look like: reflective, human, and unexpectedly transformative.
If reading her words makes you consider mentoring, or being mentored, take this as your invitation.
Join GEM:

Kein Platz im Spital - Nächster Todesfall: Wanderin auf Wiese versorgt #News #Nachrichten