Tootfinder

#ToutTerrain haben einfach mal eine Schalthebellösung für #Pinion 😍
Kostet happig, aber das ist auch echt ein Vorteil.

TT Shift:R Trigger für Pinion

Towards Sustainability Model Cards
Gwendal Jouneaux, Jordi Cabot
https://arxiv.org/abs/2507.19559 https://arxiv.org/pdf/2507.19559

Towards Sustainability Model Cards
The growth of machine learning (ML) models and associated datasets triggers a consequent dramatic increase in energy costs for the use and training of these models. In the current context of environmental awareness and global sustainability concerns involving ICT, Green AI is becoming an important research topic. Initiatives like the AI Energy Score Ratings are a good example. Nevertheless, these benchmarking attempts are still to be integrated with existing work on Quality Models and Service-L…

What a day that shall be.
#USpol #USpolitics

Ring-based ML calibration with in situ pileup correction for real-time jet triggers
Benjamin T. Carlson, Stephen T. Roche, Michael Hemmett, Tae Min Hong
https://arxiv.org/abs/2507.16686

Ring-based ML calibration with in situ pileup correction for real-time jet triggers
We present a machine learning (ML) method to calibrate hadronic jet energy in real-time trigger systems of the High-Luminosity Large Hadron Collider (HL-LHC) using an efficient implementation on field programmable gate arrays (FPGA). Regression is done to estimate the transverse energy of jet candidates, using concentric rings of electromagnetic and hadronic contributions in 0.1 x 0.1 towers around fixed-radius cone jet seeds, that accounts for in situ pileup correction. Classification separate…

Oh wow. It looks like I last used HaikuOS for real in 2023 judging by screenshots, but holy moly, it's come a long way since. Typing this from my LibreWolf with extensions running and everything. There are minor issues with some of these Wayland/GTK ports, but they are absolutely usable. And lots of software has shown up in HaikuDepot since last time. I just wish sound was working on my hardware so this could be a fully viable desktop for me.

Derzeit bewegt sich viel von Google hin zu Chatbots oder KI-Suchmaschinen.
Wer sich da als SEO nicht abhängen lassen will, sollte sich mal RankScale anschauen. Kommt aus Österreich und analysiert fast jede KI. Super Tool!
https://rankscale.ai/

Rankscale.ai | AI Rank Tracker & Visibility Monitoring Tool
Track your AI rankings & monitor visibility on Perplexity, ChatGPT & more. Rankscale is the AI Rank Tracker built for next-gen search optimization. Track your AI search rankings daily and see how your visibility evolves. Analyze AI result citations and brand sentiments. Uncover, survey, and outpace competitors. Audit your website to see how AI understands it. Identify gaps and content optimization potential.

Improving gravitational wave search sensitivity with TIER: Trigger Inference using Extended strain Representation
Digvijay Wadekar, Arush Pimpalkar, Mark Ho-Yeuk Cheung, Benjamin Wandelt, Emanuele Berti, Ajit Kumar Mehta, Tejaswi Venumadhav, Javier Roulet, Tousif Islam, Barak Zackay, Jonathan Mushkin, Matias Zaldarriaga
https://…

Improving gravitational wave search sensitivity with TIER: Trigger Inference using Extended strain Representation
We introduce a machine learning (ML) framework called $\texttt{TIER}$ for improving the sensitivity of gravitational wave search pipelines. Typically, search pipelines only use a small region of strain data in the vicinity of a candidate signal to construct the detection statistic. However, extended strain data ($\sim 10$ s) in the candidate's vicinity can also carry valuable complementary information. We show that this information can be efficiently captured by ML classifier models trained on …

Driven shear flow in biological magneto-active fluids
Malo Marmol, C\'ecile Cottin-Bizonne, Andrejs Cebers, Damien Faivre, Christophe Ybert
https://arxiv.org/abs/2507.13851

Driven shear flow in biological magneto-active fluids
Active fluids made of powered suspended particles have unique abilities to self-generate flow and density structures. How such dynamics can be triggered and leveraged by external cues is a key question of both biological and applied relevance. Here we use magnetotactic bacteria to explore how chemotaxis and magnetotaxis -- leading, respectively, to positional and orientational responses -- combine to generate global scale flows. Such steady regime can be quantitatively captured by a magneto-act…

Review of Machine Learning for Real-Time Analysis at the Large Hadron Collider experiments ALICE, ATLAS, CMS and LHCb
Laura Boggia, Carlos Cocha, Fotis Giasemis, Joachim Hansen, Patin Inkaew, Kaare Endrup Iversen, Pratik Jawahar, Henrique Pineiro Monteagudo, Micol Olocco, Sten Astrand, Martino Borsato, Leon Bozianu, Steven Schramm, the SMARTHEP Network

Review of Machine Learning for Real-Time Analysis at the Large Hadron Collider experiments ALICE, ATLAS, CMS and LHCb
The field of high energy physics (HEP) has seen a marked increase in the use of machine learning (ML) techniques in recent years. The proliferation of applications has revolutionised many aspects of the data processing pipeline at collider experiments including the Large Hadron Collider (LHC). In this whitepaper, we discuss the increasingly crucial role that ML plays in real-time analysis (RTA) at the LHC, namely in the context of the unique challenges posed by the trigger systems of the large …

Another data wiper found in Ukrainian critical infrastructure https://therecord.media/pathwiper-malware-critical-infrastructure-ukraine