Tootfinder

I blogged about my cute little open source computer, the #mntpocketreform, and how it is connected to the idea of #permacomputing.
https://

Och FFS.
"#Firefox will grow from a browser into a broader ecosystem of trusted software."
"It will evolve into a modern AI #browser and support a portfolio of new and trusted software additions."
One job. A browser has ONE. SINGLE. JOB.

I'm quite impressed by Fluxpose. It's making me consider selling half of my base stations (not all cause you never know if I will ever need them again) and get a kit once I get my hands on the Steam Frame.
I've rooted for BS tracking for so long because it was the best option out there, but the downsides it brings can be quite annoying sometimes. Plus, the Steam Frame is fully portable and BS tracking is not.
Also I recently learned that Fluxpose was made by an Spanish…

Excelsior Sciences, which aims to use AI and robots for small-molecule drug discovery and development, raised a $70M Series A from Khosla Ventures and others (Aayushi Pratap/Chemical & Engineering News)
https://cen.acs.org/physical-chemistry

New York AI chemistry start-up raises $95 million 
Excelsior Sciences cofounders say the company will make new molecules using robots and artificial intelligence

An interferometric mid-infrared study of the eruptive star binary Z CMa with MATISSE/VLTI. I. Imaging the protoplanetary disks during the 2023 outburst
F. Lykou, J. Varga, F. Cruz-Sa\'enz de Miera, P. \'Abrah\'am, \'A. K\'osp\'al, B. Lopez, T. Henning, S. Wolf, G. Weigelt, F. Millour, M. Hogerheijde, L. Chen, T. Ratzka, W. Danchi, P. Boley, J. -C. Augereau, P. Priolet

An interferometric mid-infrared study of the eruptive star binary Z CMa with MATISSE/VLTI. I. Imaging the protoplanetary disks during the 2023 outburst
The mid-infrared (MIR) emitting regions of the individual protoplanetary disks in the binary system Z CMa are resolved by MATISSE/VLTI. The observations were obtained during a serendipitous large outburst of the HBe star that lasted more than 100 days, while the FUor companion is presumed to be in quiescence. The size of the MIR-emitting disk region of the more massive HBe star increases toward longer wavelengths from $<14$ mas at 3.5$μm$ to $\ll 50$ mas at 11.5$μm$ . The lack of substructure…

M3Retrieve: Benchmarking Multimodal Retrieval for Medicine
Arkadeep Acharya, Akash Ghosh, Pradeepika Verma, Kitsuchart Pasupa, Sriparna Saha, Priti Singh
https://arxiv.org/abs/2510.06888

M3Retrieve: Benchmarking Multimodal Retrieval for Medicine
With the increasing use of RetrievalAugmented Generation (RAG), strong retrieval models have become more important than ever. In healthcare, multimodal retrieval models that combine information from both text and images offer major advantages for many downstream tasks such as question answering, cross-modal retrieval, and multimodal summarization, since medical data often includes both formats. However, there is currently no standard benchmark to evaluate how well these models perform in medica…

Turbulence and dust fragility in protoplanetary discs
Simin Tong, Richard Alexander, Giovanni Rosotti
https://arxiv.org/abs/2509.24818 https://arxiv.org/pd…

Turbulence and dust fragility in protoplanetary discs
Dust growth from micron- to planet-size in protoplanetary discs involves multiple physical processes, including dust growth and fragmentation, the streaming instability, and pebble accretion. Disc turbulence and dust fragility matter at almost every stage. Previous studies typically vary one of them while fixing the other, failing to provide a complete picture. Here, we use analytical models and numerical dust evolution models DustPy to study the combinations of gas turbulence and dust fragilit…

Parallel Nested Slice Sampling for Gravitational Wave Parameter Estimation
David Yallup, Metha Prathaban, James Alvey, Will Handley
https://arxiv.org/abs/2509.24949 https://

Parallel Nested Slice Sampling for Gravitational Wave Parameter Estimation
Inferring parameters and testing hypotheses from gravitational wave signals is a computationally intensive task central to modern astrophysics. Nested sampling, a Bayesian inference technique, has become an established standard for this in the field. However, most common implementations lack the ability to fully utilize modern hardware acceleration. In this work, we demonstrate that when nested sampling is reformulated in a natively vectorized form and run on modern GPU hardware, we can perform…

Sight Over Site: Perception-Aware Reinforcement Learning for Efficient Robotic Inspection
Richard Kuhlmann, Jakob Wolfram, Boyang Sun, Jiaxu Xing, Davide Scaramuzza, Marc Pollefeys, Cesar Cadena
https://arxiv.org/abs/2509.17877

Sight Over Site: Perception-Aware Reinforcement Learning for Efficient Robotic Inspection
Autonomous inspection is a central problem in robotics, with applications ranging from industrial monitoring to search-and-rescue. Traditionally, inspection has often been reduced to navigation tasks, where the objective is to reach a predefined location while avoiding obstacles. However, this formulation captures only part of the real inspection problem. In real-world environments, the inspection targets may become visible well before their exact coordinates are reached, making further movemen…

Revisiting Modeling and Evaluation Approaches in Speech Emotion Recognition: Considering Subjectivity of Annotators and Ambiguity of Emotions
Huang-Cheng Chou, Chi-Chun Lee
https://arxiv.org/abs/2510.05934

Revisiting Modeling and Evaluation Approaches in Speech Emotion Recognition: Considering Subjectivity of Annotators and Ambiguity of Emotions
Over the past two decades, speech emotion recognition (SER) has received growing attention. To train SER systems, researchers collect emotional speech databases annotated by crowdsourced or in-house raters who select emotions from predefined categories. However, disagreements among raters are common. Conventional methods treat these disagreements as noise, aggregating labels into a single consensus target. While this simplifies SER as a single-label task, it ignores the inherent subjectivity of…