Tootfinder

#CSS has 42 units
https://www.irrlicht3d.org/index.php?t=1627

Investigators expose Russian units using chemical weapons against Ukrainian forces | RBC-Ukraine
https://newsukraine.rbc.ua/news/russian-units-exposed-for-using-chemical-1757182642.html

The Lurie administration wants to slash #PotreroYard affordable housing because they "just can't find the money."
Our mayor is a billionaire. We have the third most billionaires living here of any city in the world. We can't accept these excuses.

Optimizing Fronthaul Quantization for Flexible User Load in Cell-Free Massive MIMO
Fabian G\"ottsch, Max Franke, Arash Pourdamghani, Giuseppe Caire, Stefan Schmid
https://arxiv.org/abs/2510.06734 …

Optimizing Fronthaul Quantization for Flexible User Load in Cell-Free Massive MIMO
We investigate the physical layer (PHY) spectral efficiency and fronthaul network load of a scalable user-centric cell-free massive MIMO system. Each user-centric cluster processor responsible for cluster-level signal processing is located at one of multiple decentralized units (DUs). Thus, the radio units in the cluster must exchange data with the corresponding DU over the fronthaul. Because the fronthaul links have limited capacity, this data must be quantized before it is sent over the front…

Nintendo reports Q2 revenue of $3.7B, vs. ~$3B est., and net profit of ~$667M, vs. ~$412M est.; it now expects 19M Switch 2 sales by March 2026, up from 15M (Arjun Kharpal/CNBC)
https://www.cnbc.com/2025/11/04/nintendo-raises-switch-2-sales-fo…

Nintendo hikes Switch 2 sales forecast to 19 million units as flagship console momentum grows
Nintendo is riding a wave of momentum after launching its latest console called the Switch 2.

Except, of course, on city-owned property like Potrero Yards, because affordable housing doesn't pencil out.
And SF's Upzoning plan allows towers without on-site affordable, unlike the State Density Bonus, which actually requires significant on site affordable housing. Developers can just fee out for less than half the cost of building affordable units.
SO I wonder - who were the advisors on the Family Zoning Plan, and whose families would be built for?

Lurie warns Sunset: rezone or ‘there could be towers everywhere’ 
In doubleheader, Sen. Scott Wiener, architect of the state building mandates that require San Francisco to rezone, draws ire at Westside forum

Except, of course, on city-owned property like Potrero Yards, because affordable housing doesn't pencil out.
And SF's Upzoning plan allows towers without on-site affordable, unlike the State Density Bonus, which actually requires significant on site affordable housing. Developers can just fee out for less than half the cost of building affordable units.
SO I wonder - who were the advisors on the Family Zoning Plan, and whose families would be built for?

Lurie warns Sunset: rezone or ‘there could be towers everywhere’ 
In doubleheader, Sen. Scott Wiener, architect of the state building mandates that require San Francisco to rezone, draws ire at Westside forum

Accelerating Inference for Multilayer Neural Networks with Quantum Computers
Arthur G. Rattew, Po-Wei Huang, Naixu Guo, Lirand\"e Pira, Patrick Rebentrost
https://arxiv.org/abs/2510.07195

Accelerating Inference for Multilayer Neural Networks with Quantum Computers
Fault-tolerant Quantum Processing Units (QPUs) promise to deliver exponential speed-ups in select computational tasks, yet their integration into modern deep learning pipelines remains unclear. In this work, we take a step towards bridging this gap by presenting the first fully-coherent quantum implementation of a multilayer neural network with non-linear activation functions. Our constructions mirror widely used deep learning architectures based on ResNet, and consist of residual blocks with m…

Phonological Representation Learning for Isolated Signs Improves Out-of-Vocabulary Generalization
Lee Kezar, Zed Sehyr, Jesse Thomason
https://arxiv.org/abs/2509.04745 https://

Phonological Representation Learning for Isolated Signs Improves Out-of-Vocabulary Generalization
Sign language datasets are often not representative in terms of vocabulary, underscoring the need for models that generalize to unseen signs. Vector quantization is a promising approach for learning discrete, token-like representations, but it has not been evaluated whether the learned units capture spurious correlations that hinder out-of-vocabulary performance. This work investigates two phonological inductive biases: Parameter Disentanglement, an architectural bias, and Phonological Semi-Sup…

Cowboys’ Wide Receivers Rank Among NFL’s Elite in 2025 https://insidethestar.com/cowboys-wide-receivers-rank-among-nfls-elite-in-2025

Russian units surrounded near Dobropillia, Ukraine's military says: https://benborges.xyz/2025/08/30/russian-units-surrounded-near-dobropillia.html

Revealing the building blocks of tree balance: fundamental units of the Sackin and Colless Indices
Linda Kn\"uver, Mareike Fischer
https://arxiv.org/abs/2509.04995 https://…

Revealing the building blocks of tree balance: fundamental units of the Sackin and Colless Indices
Over the past decades, more than 25 phylogenetic tree balance indices and several families of such indices have been proposed in the literature -- some of which even contain infinitely many members. It is well established that different indices have different strengths and perform unequally across application scenarios. For example, power analyses have shown that the ability of an index to detect the generative model of a given phylogenetic tree varies significantly between indices. This variat…

Agora: Bridging the GPU Cloud Resource-Price Disconnect
Ian McDougall, Noah Scott, Joon Huh, Kirthevasan Kandasamy, Karthikeyan Sankaralingam
https://arxiv.org/abs/2510.05111 ht…

Agora: Bridging the GPU Cloud Resource-Price Disconnect
The historic trend of Moore's Law, which predicted exponential growth in computational performance per dollar, has diverged for modern Graphics Processing Units (GPUs). While Floating Point Operations per Second (FLOPs) capabilities have continued to scale economically, memory bandwidth has not, creating a significant price-performance disconnect. This paper argues that the prevailing time-based pricing models for cloud GPUs are economically inefficient for bandwidth-bound workloads. These mode…

Crime in large cities in the aggregate is lower in states with Democratic leadership.
But Trump focuses his ire almost exclusively on large blue cities in blue states,
sidestepping political conflict with Republican governors.
Trump threatens to deploy national guard units to Chicago and Baltimore,
ostensibly to quell violence,
a pattern has emerged as he describes which cities he talks about.
Chicago, Philadelphia, Washington DC and Baltimore.
But …

Reinforcement learning meets bioprocess control through behaviour cloning: Real-world deployment in an industrial photobioreactor
Juan D. Gil, Ehecatl Antonio Del Rio Chanona, Jos\'e L. Guzm\'an, Manuel Berenguel
https://arxiv.org/abs/2509.06853

Reinforcement learning meets bioprocess control through behaviour cloning: Real-world deployment in an industrial photobioreactor
The inherent complexity of living cells as production units creates major challenges for maintaining stable and optimal bioprocess conditions, especially in open Photobioreactors (PBRs) exposed to fluctuating environments. To address this, we propose a Reinforcement Learning (RL) control approach, combined with Behavior Cloning (BC), for pH regulation in open PBR systems. This represents, to the best of our knowledge, the first application of an RL-based control strategy to such a nonlinear and…

Emergent collective heat engines from neighborhood-dependent thermal reservoirs
Carlos E. Fiore
https://arxiv.org/abs/2509.05715 https://arxiv.org/pdf/2509…

Emergent collective heat engines from neighborhood-dependent thermal reservoirs
We introduce and analyze a class of heat engines composed of interacting units, in which the thermal reservoir is associated with the neighborhood surrounding each unit. These systems can be mapped onto stochastic opinion models and are characterized by collective behavior at low temperatures, as well as different types of phase transitions, marked by spontaneous symmetry breaking and classifications that depend on topology and neighborhood structure. For the case of contact with two thermal ba…

From Neural Activity to Computation: Biological Reservoirs for Pattern Recognition in Digit Classification
Ludovico Iannello, Luca Ciampi, Fabrizio Tonelli, Gabriele Lagani, Lucio Maria Calcagnile, Federico Cremisi, Angelo Di Garbo, Giuseppe Amato
https://arxiv.org/abs/2510.05637

From Neural Activity to Computation: Biological Reservoirs for Pattern Recognition in Digit Classification
In this paper, we present a biologically grounded approach to reservoir computing (RC), in which a network of cultured biological neurons serves as the reservoir substrate. This system, referred to as biological reservoir computing (BRC), replaces artificial recurrent units with the spontaneous and evoked activity of living neurons. A multi-electrode array (MEA) enables simultaneous stimulation and readout across multiple sites: inputs are delivered through a subset of electrodes, while the rem…

Hydrodynamical Simulations of Planet Rebound Migration in Photo-evaporating Disks
Beibei Liu, Cl\'ement Baruteau, Zhaohuan Zhu, Ya-Ping Li, Sijme-Jan Paardekooper
https://arxiv.org/abs/2509.06695

Hydrodynamical Simulations of Planet Rebound Migration in Photo-evaporating Disks
This study investigates the orbital migration of a planet located near the truncated edge of protoplanetary disks, induced by X-ray photo-evaporation originating from the central star. The combined effects of turbulent viscous accretion and stellar X-ray photo-evaporation give rise to the formation of a cavity in the central few astronomical units in disks. Once the cavity is formed, the outer disk experiences rapid mass loss and the cavity expands inside out. We have conducted 2D hydrodynamica…

The Grammar of FAIR: A Granular Architecture of Semantic Units for FAIR Semantics, Inspired by Biology and Linguistics
Lars Vogt, Barend Mons
https://arxiv.org/abs/2509.26434 ht…

The Grammar of FAIR: A Granular Architecture of Semantic Units for FAIR Semantics, Inspired by Biology and Linguistics
The FAIR Principles aim to make data and knowledge Findable, Accessible, Interoperable, and Reusable, yet current digital infrastructures often lack a unifying semantic framework that bridges human cognition and machine-actionability. In this paper, we introduce the Grammar of FAIR: a granular and modular architecture for FAIR semantics built on the concept of semantic units. Semantic units, comprising atomic statement units and composite compound units, implement the principle of semantic modu…

Kcmil has to be one of the most cursed units for area.
If you're not familiar with North American wire sizes, heavy gauge wire like power lines are often sized in kcmil (sometimes abbreviated MCM because M = roman numeral 1000, not SI "mega").
As in kilo circular mils, where a circular mil is the area of an 0.001 inch diameter circle.
Not even *square* mils. Circular mils. Because irrational units and conversion factors for area are the best

Economic relativity: a cut rule for perimeter valuation in equity ownership networks
Omar Di Marzio
https://arxiv.org/abs/2509.04520 https://arxiv.org/pdf/…

Economic relativity: a cut rule for perimeter valuation in equity ownership networks
We introduce the Cut-Based Valuation (CBV), a unified framework for consolidated value in equity/flow networks. The central idea is that economic value is never absolute: it is always defined relative to an observer Omega, which fixes perimeter, measurement basis, units/FX/PPP, discounting, informational regime, and control rules. Given Omega, the Cut Theorem shows that the consolidated value of a perimeter P depends only on boundary quantities across the cut P -> O, while internal reconnection…

A 10-bit SAR ADC with 1.5x Input Range
Yi Zhang
https://arxiv.org/abs/2509.05636 https://arxiv.org/pdf/2509.05636…

A 10-bit SAR ADC with 1.5x Input Range
This paper presents a differential 10-bit 2 MS/s successive approximation register (SAR) analog-to-digital converter (ADC) with a precision-improvement technique. The proposed method breaks the direct tradeoff between the capacitive digital-to-analog converter (CDAC) units and the resolution of SAR ADCs by extending the effective input range, thereby enhancing the effective number of bits (ENOB). Specifically, the technique is implemented by switching the potential of the MSB capacitors during …

SHarmonic: A fast and accurate implementation of spherical harmonics for electronic-structure calculations
Xavier Andrade, Jacopo Simoni, Yuan Ping, Tadashi Ogitsu, Alfredo A. Correa
https://arxiv.org/abs/2510.05282

SHarmonic: A fast and accurate implementation of spherical harmonics for electronic-structure calculations
The authors present SHarmonic, a new implementation of the spherical harmonics targeted for electronic-structure calculations. Their approach is to use explicit formulas for the harmonics written in terms of normalized Cartesian coordinates. This approach results in a code that is as precise as other implementations while being at least one order of magnitude more computationally efficient. The library can run on graphics processing units (GPUs) as well, achieving an additional order of magnitu…

On The Road - To Xi’An ⛑️
在路上 - 去西安 ⛑️
📷 Pentax MX
🎞️Lucky SHD 400
#filmphotography #Photography #blackandwhite

Some Russian units encircled near Dobropillia in Donetsk Oblast, Syrskyi says: https://benborges.xyz/2025/09/29/some-russian-units-encircled-near.html

An Adaptive Responsible AI Governance Framework for Decentralized Organizations
Kiana Jafari Meimandi, Anka Reuel, Gabriela Aranguiz-Dias, Hatim Rahama, Ala-Eddine Ayadi, Xavier Boullier, J\'er\'emy Verdo, Louis Montanie, Mykel Kochenderfer
https://arxiv.org/abs/2510.03368

An Adaptive Responsible AI Governance Framework for Decentralized Organizations
This paper examines the assessment challenges of Responsible AI (RAI) governance efforts in globally decentralized organizations through a case study collaboration between a leading research university and a multinational enterprise. While there are many proposed frameworks for RAI, their application in complex organizational settings with distributed decision-making authority remains underexplored. Our RAI assessment, conducted across multiple business units and AI use cases, reveals four key …

An efficient quantum algorithm for computing $S$-units and its applications
Jean-Francois Biasse, Fang Song
https://arxiv.org/abs/2510.02280 https://arxiv.…

An efficient quantum algorithm for computing $S$-units and its applications
In this paper, we provide details on the proofs of the quantum polynomial time algorithm of Biasse and Song (SODA 16) for computing the $S$-unit group of a number field. This algorithm directly implies polynomial time methods to calculate class groups, S-class groups, relative class group and the unit group, ray class groups, solve the principal ideal problem, solve certain norm equations, and decompose ideal classes in the ideal class group. Additionally, combined with a result of Cramer, Duca…

New proposed law in LA aims to protect renters from extreme heat by setting a maximum indoor temperature standard of 82 degrees. Stay cool and safe! #climatechange #climatesolutions #climate

Officials propose crucial new law to protect renters from sweltering heat: 'Treating [it] as the emergency that it is'
The Los Angeles City Council introduced a new ordinance aimed at protecting residents in rental units from extreme heat.

Inside the Lines rising: Best bets up 9.2 units heading into NFL Week 4, led by 17-8 mark on passing props

https://www.cbssports.com/betting/news/ins

Intrinsic cause-effect power: the tradeoff between differentiation and specification
William G. P. Mayner, William Marshall, Giulio Tononi
https://arxiv.org/abs/2510.03881 https…

Intrinsic cause-effect power: the tradeoff between differentiation and specification
Integrated information theory (IIT) starts from the existence of consciousness and characterizes its essential properties: every experience is intrinsic, specific, unitary, definite, and structured. IIT then formulates existence and its essential properties operationally in terms of cause-effect power of a substrate of units. Here we address IIT's operational requirements for existence by considering that, to have cause-effect power, to have it intrinsically, and to have it specifically, substr…

AI-Enhanced Kinematic Modeling of Flexible Manipulators Using Multi-IMU Sensor Fusion
Amir Hossein Barjini, Jouni Mattila
https://arxiv.org/abs/2510.02975 https://

AI-Enhanced Kinematic Modeling of Flexible Manipulators Using Multi-IMU Sensor Fusion
This paper presents a novel framework for estimating the position and orientation of flexible manipulators undergoing vertical motion using multiple inertial measurement units (IMUs), optimized and calibrated with ground truth data. The flexible links are modeled as a series of rigid segments, with joint angles estimated from accelerometer and gyroscope measurements acquired by cost-effective IMUs. A complementary filter is employed to fuse the measurements, with its parameters optimized throug…

On Tuesday, Illinois Gov. JB Pritzker gave an extraordinary press conference.
Together with the mayor of Chicago and the president of the Cook County board of commissioners,
the governor announced that Donald Trump is hatching plans for what can only be described as the prospective invasion of his sovereign state.
And not just by federal troops, but by units of the Texas National Guard.
The governor’s move was triggered by Trump’s declaration hours earlier that he …

Rental construction is at a 50-year high in #Toronto and #Hamilton area, as more than 27,000 units converted from condos

Mutual Information-Driven Visualization and Clustering for Core KPI Selection in O-RAN Testing
Anish Pradhan, Lingjia Liu, Harpreet S. Dhillon
https://arxiv.org/abs/2510.02696 h…

Mutual Information-Driven Visualization and Clustering for Core KPI Selection in O-RAN Testing
O-RAN testing is becoming increasingly difficult with the exponentially growing number of performance measurements as the system grows more complex, with additional units, interfaces, applications, and possible implementations and configurations. To simplify the testing procedure and improve system design for O-RAN systems, it is important to identify the dependencies among various performance measurements, which are inherently time-series and can be modeled as realizations of random processes.…

Data-Driven Bed Occupancy Planning in Intensive Care Units Using $M_t/G_t/\infty$ Queueing Models
Maryam Akbari-Moghaddam, Douglas G. Down, Na Li, Catherine Eastwood, Ayman Abou Mehrem, Alexandra Howlett
https://arxiv.org/abs/2510.02852

Data-Driven Bed Occupancy Planning in Intensive Care Units Using $M_t/G_t/\infty$ Queueing Models
Hospitals struggle to make effective long-term capacity planning decisions for intensive care units (ICUs) under uncertainty in future demand. Admission rates fluctuate over time due to temporal factors, and length of stay (LOS) distributions vary with patient heterogeneity, hospital location, case mix, and clinical practices. Common planning approaches rely on steady-state queueing models or heuristic rules that assume fixed parameters, but these methods often fall short in capturing real-worl…

“The impact of the reforms — and 3rd Assault’s attitude toward the importance of training — is already being felt on the battlefield…”
https://newlinesmag.com/spotlight/inside-ukraines-plan-to-build-self-sufficient-defense-force/

Inside Ukraine’s Plan To Build a Self-Sufficient Defense Force
With Western security guarantees uncertain, Kyiv is turning to elite, battle-hardened units as the core of a remodeled military

Heterogeneous Graph Representation of Stiffened Panels with Non-Uniform Boundary Conditions and Loads
Yuecheng Cai, Jasmin Jelovica
https://arxiv.org/abs/2510.02472 https://

Heterogeneous Graph Representation of Stiffened Panels with Non-Uniform Boundary Conditions and Loads
Surrogate models are essential in structural analysis and optimization. We propose a heterogeneous graph representation of stiffened panels that accounts for geometrical variability, non-uniform boundary conditions, and diverse loading scenarios, using heterogeneous graph neural networks (HGNNs). The structure is partitioned into multiple structural units, such as stiffeners and the plates between them, with each unit represented by three distinct node types: geometry, boundary, and loading nod…

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP
M. D. Lepinzan, G. Lacopo, D. Goz, G. Taffoni, P. Monaco, P. J. Elahi, U. Varetto, M. Cytowski
https://arxiv.org/abs/2510.02873

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP
In this work we present the porting to Graphics Processing Units (GPUs, using OpenMP target directives) and optimization of a key module within the cosmological {\pinocchio} code, a Lagrangian Perturbation Theory (LPT)-based framework widely used for generating dark matter (DM) halo catalogs. Our optimization focuses on a specific segment of the code responsible for calculating the collapse time of each particle involved in the simulation. Due to the embarrassingly parallel nature of this compu…

Sources: Nintendo has asked manufacturers to produce as many as 25M Switch 2 units by the end of March 2026, surpassing analysts' estimates of 17.6M (Bloomberg)

Nintendo Switch 2 Production Plan: 25 Million Units by March 2026
Nintendo Co. has asked suppliers to produce as many as 25 million units of the Switch 2 by the end of March 2026, setting the company up for record first-year sales of a console that’s already reached high-water marks for the global gaming sector.

'Online Killboard' — How to track Ukraine’s top drone units in (almost) real-time: https://benborges.xyz/2025/11/05/online-killboard-how-to-track.html

A Correct by Construction Fault Tolerant Voter for Input Selection of a Control System
Arif Ali AP, Jasine Babu, Deepa Sara John
https://arxiv.org/abs/2509.22236 https://…

A Correct by Construction Fault Tolerant Voter for Input Selection of a Control System
Safety-critical systems use redundant input units to improve their reliability and fault tolerance. A voting logic is then used to select a reliable input from the redundant sources. A fault detection and isolation rules help in selecting input units that can participate in voting. This work deals with the formal requirement formulation, design, verification and synthesis of a generic voting unit for an $N$-modular redundant measurement system used for control applications in avionics systems. …

MuMTAffect: A Multimodal Multitask Affective Framework for Personality and Emotion Recognition from Physiological Signals
Meisam Jamshidi Seikavandi, Fabricio Batista Narcizo, Ted Vucurevich, Andrew Burke Dittberner, Paolo Burelli
https://arxiv.org/abs/2509.04254

MuMTAffect: A Multimodal Multitask Affective Framework for Personality and Emotion Recognition from Physiological Signals
We present MuMTAffect, a novel Multimodal Multitask Affective Embedding Network designed for joint emotion classification and personality prediction (re-identification) from short physiological signal segments. MuMTAffect integrates multiple physiological modalities pupil dilation, eye gaze, facial action units, and galvanic skin response using dedicated, transformer-based encoders for each modality and a fusion transformer to model cross-modal interactions. Inspired by the Theory of Constructe…

Some Remarks on the $l_1$-Robust Solution of LexRank Problem
Anna Timonina-Farkas
https://arxiv.org/abs/2509.04131 https://arxiv.org/pdf/2509.04131

Some Remarks on the $l_1$-Robust Solution of LexRank Problem
Graph-based ranking methods, such as LexRank, are fundamental in Natural Language Processing (NLP) applications like text summarization, as they measure the relative importance of textual units. Building on recent advances in ranking methods for growing and dynamic graphs, we develop a robust variant of LexRank that operates on stochastic similarity graphs with uncertain and expanding structure. Our approach introduces a novel $l_1$-based formulation that captures ambiguity in both transition p…

We've reached the point in the evolution of cyber scamming where military units are blowing up buildings to stop the digital crimes.
Stragglers from Myanmar scam center raided by army cross into Thailand as buildings are blown up
https://apnews.com/artic…

Stragglers from Myanmar scam center raided by army cross into Thailand as buildings are blown up
A Thai regional army commander say that the number of people fleeing from Myanmar to Thailand after Myanmar’s military shut down a major online scam center has slowed to a trickle. The news on Tuesday came after more than 1,500 people had left in the past week. The KK Park site was identified by Thai officials and independent experts as housing a major cybercrime operation. It was raided by Myanmar’s army in mid-October as part of operations starting in early September to suppress cross-bor…

Moody Urbanity - Somewhere 🔲
情绪化城市 - 某处 🔲
📷 Nikon FE
🎞️ Lucky SHD 400
#filmphotography #Photography #blackandwhite

💻 New Tech Unveiled Meet TSUs (Thermodynamic Sampling Units)! The X0 prototype chip proves these primitives work in silicon at room temp. Plus, XTR0 desktop kit for early researchers—available this fall.
📚 #OpenSource Kickstart Dive in with Thermal, the #Python library to simulate TSUs…

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units
Chao Hao, Zezheng Wang, Yanhua Huang, Ruiwen Xu, Wenzhe Niu, Xin Liu, Zitong Yu
https://arxiv.org/abs/2508.18763 …

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units
This paper investigates the enhancement of reasoning capabilities in language models through token-level multi-model collaboration. Our approach selects the optimal tokens from the next token distributions provided by multiple models to perform autoregressive reasoning. Contrary to the assumption that more models yield better results, we introduce a distribution distance-based dynamic selection strategy (DDS) to optimize the multi-model collaboration process. To address the critical challenge o…

In which they spring it on us that they’re canceling about 350 units of affordable housing. I’m not pleased. #potreroYard #sfpol
https://

Triply Robust Panel Estimators
Susan Athey, Guido Imbens, Zhaonan Qu, Davide Viviano
https://arxiv.org/abs/2508.21536 https://arxiv.org/pdf/2508.21536

Triply Robust Panel Estimators
This paper studies estimation of causal effects in a panel data setting. We introduce a new estimator, the Triply RObust Panel (TROP) estimator, that combines $(i)$ a flexible model for the potential outcomes based on a low-rank factor structure on top of a two-way-fixed effect specification, with $(ii)$ unit weights intended to upweight units similar to the treated units and $(iii)$ time weights intended to upweight time periods close to the treated time periods. We study the performance of th…

Density Characterization with The Upper Bound of Density of Fibonacci Word
Duaa Abdullah, Jasem Hamoud
https://arxiv.org/abs/2509.00886 https://arxiv.org/p…

Density Characterization with The Upper Bound of Density of Fibonacci Word
This paper investigates the natural density and structural relationships within Fibonacci words, the density of a Fibonacci word is $\operatorname{DF}(F_k)=n/(n+m),$ where $m$ denote the number of zeros in a Fibonacci word and $n$ denote the units digit. Through analysis of these ratios and their convergence to powers of $φ$, we illustrate the intrinsic exponential growth rates characteristic of Fibonacci words. By considering the natural density concept for sets of positive integers, it is de…

Paving the Way Towards Kinematic Assessment Using Monocular Video: A Preclinical Benchmark of State-of-the-Art Deep-Learning-Based 3D Human Pose Estimators Against Inertial Sensors in Daily Living Activities
Mario Medrano-Paredes, Carmen Fern\'andez-Gonz\'alez, Francisco-Javier D\'iaz-Pernas, Hichem Saoudi, Javier Gonz\'alez-Alonso, Mario Mart\'inez-Zarzuela

Paving the Way Towards Kinematic Assessment Using Monocular Video: A Preclinical Benchmark of State-of-the-Art Deep-Learning-Based 3D Human Pose Estimators Against Inertial Sensors in Daily Living Activities
Advances in machine learning and wearable sensors offer new opportunities for capturing and analyzing human movement outside specialized laboratories. Accurate assessment of human movement under real-world conditions is essential for telemedicine, sports science, and rehabilitation. This preclinical benchmark compares monocular video-based 3D human pose estimation models with inertial measurement units (IMUs), leveraging the VIDIMU dataset containing a total of 13 clinically relevant daily acti…

Context-Driven Performance Modeling for Causal Inference Operators on Neural Processing Units
Neelesh Gupta, Rakshith Jayanth, Dhruv Parikh, Viktor Prasanna
https://arxiv.org/abs/2509.25155

Context-Driven Performance Modeling for Causal Inference Operators on Neural Processing Units
The proliferation of large language models (LLMs) has driven demand for long context inference on resource constrained edge devices. However, deploying these models on Neural Processing Units (NPUs) presents significant challenges due to the architectural mismatch: quadratic complexity of standard attention mechanisms conflicts with memory and compute patterns of edge accelerators. This paper presents a comprehensive performance analysis of various causal inference operators on a modern NPU. We…

Hardwired-Neurons Language Processing Units as General-Purpose Cognitive Substrates
Yang Liu, Yi Chen, Yongwei Zhao, Yifan Hao, Zifu Zheng, Weihao Kong, Zhangmai Li, Dongchen Jiang, Ruiyang Xia, Zhihong Ma, Zisheng Liu, Zhaoyong Wan, Yunqi Lu, Ximing Liu, Hongrui Guo, Zhihao Yang, Zhe Wang, Tianrui Ma, Mo Zou, Rui Zhang, Ling Li, Xing Hu, Zidong Du, Zhiwei Xu, Qi Guo, Tianshi Chen, Yunji Chen

Hardwired-Neurons Language Processing Units as General-Purpose Cognitive Substrates
The rapid advancement of Large Language Models (LLMs) has established language as a core general-purpose cognitive substrate, driving the demand for specialized Language Processing Units (LPUs) tailored for LLM inference. To overcome the growing energy consumption of LLM inference systems, this paper proposes a Hardwired-Neurons Language Processing Unit (HNLPU), which physically hardwires LLM weight parameters into the computational fabric, achieving several orders of magnitude computational ef…

Eagles' offense headlines struggling units that can be fixed; Jets' defense among those that are cooked https://www.nfl.com/news/eagles-offense-headlines-struggling-units-that-can-be-fixed-jets-defense-among-thos…

Observation of long-range collective flow in OO and NeNe collisions and implications for nuclear structure studies
CMS Collaboration
https://arxiv.org/abs/2510.02580 https://

Observation of long-range collective flow in OO and NeNe collisions and implications for nuclear structure studies
The long-range collective flow of particles produced in oxygen-oxygen (OO) and neon-neon (NeNe) collisions is measured with the CMS detector at the CERN LHC. The data samples were collected at a center-of-mass energy per nucleon pair of 5.36 TeV, with integrated luminosities of 7 nb$^{-1}$ and 0.8 nb$^{-1}$ for OO and NeNe collisions, respectively. Two- and four-particle azimuthal correlations are measured over nearly five units of pseudorapidity. Significant elliptic ($v_2$) and triangular ($v…

Benchmarking and Studying the LLM-based Code Review
Zhengran Zeng, Ruikai Shi, Keke Han, Yixin Li, Kaicheng Sun, Yidong Wang, Zhuohao Yu, Rui Xie, Wei Ye, Shikun Zhang
https://arxiv.org/abs/2509.01494 …

Benchmarking and Studying the LLM-based Code Review
Automated Code Review (ACR) is crucial for software quality, yet existing benchmarks often fail to reflect real-world complexities, hindering the evaluation of modern Large Language Models (LLMs). Current benchmarks frequently focus on fine-grained code units, lack complete project context, and use inadequate evaluation metrics. To address these limitations, we introduce SWRBench , a new benchmark comprising 1000 manually verified Pull Requests (PRs) from GitHub, offering PR-centric review with…

If you read one thing today…
1. You should read more
2. Make it this 👇 https://mastodon.social/@danielquinn/114793526868620928

of course american customary units have two different kinds of tons of refrigeration, depending on whether or not the chiller is an air conditioner

All Heavy Mechanized Units Assigned to Army Corps: https://benborges.xyz/2025/08/19/all-heavy-mechanized-units-assigned.html

Modeling and benchmarking quantum optical neurons for efficient neural computation
Andrea Andrisani, Gennaro Vessio, Fabrizio Sgobba, Francesco Di Lena, Luigi Amato Santamaria, Giovanna Castellano
https://arxiv.org/abs/2509.01784

Modeling and benchmarking quantum optical neurons for efficient neural computation
Quantum optical neurons (QONs) are emerging as promising computational units that leverage photonic interference to perform neural operations in an energy-efficient and physically grounded manner. Building on recent theoretical proposals, we introduce a family of QON architectures based on Hong-Ou-Mandel (HOM) and Mach-Zehnder (MZ) interferometers, incorporating different photon modulation strategies -- phase, amplitude, and intensity. These physical setups yield distinct pre-activation functio…

Step 3. Draw the rest of the owl
https://chaos.social/@weirdunits/115070655681033544

🌆 Why the legacy of East Germany’s prefab housing blocks is more relevant than ever
https://www.theguardian.com/world/2025/sep/06/why-the-legacy-of-east-germanys-prefab-housing-blocks-is-more-relevant-than-ever

A Framework for Quantum Data Center Emulation Using Digital Quantum Computers
Seyed Navid Elyasi, Seyed Morteza Ahmadian, Paolo Monti, Jun Li, Rui Lin
https://arxiv.org/abs/2509.04029

A Framework for Quantum Data Center Emulation Using Digital Quantum Computers
As quantum computing hardware advances, the limitations of single-chip architectures, particularly in terms of small qubit count, have sparked growing interest in modular quantum computing systems and Quantum Data Centers (QDCs). These architectures interconnect multiple quantum processor units (QPUs) to overcome physical constraints and support complex quantum algorithms. However, the implementation of distributed quantum computing (DQC) faces significant technical challenges, especially in th…

Creases as elastocapillary gates for autonomous droplet control
Zixuan Wu, Gavin Linton, Stefan Karpitschka, Anupam Pandey
https://arxiv.org/abs/2510.01506 https://

Creases as elastocapillary gates for autonomous droplet control
Droplets are the core functional units in microfluidic technologies that aim to integrate computation and reaction on a single platform. Achieving directed transport and control of these droplets typically demands elaborate substrate patterning, modulation of external fields, and real-time feedback. Here we reveal that an engineered pattern of creases on a soft interface autonomously gate and steer droplets through a long-range elastocapillary repulsion, allowing programmable flow of informatio…

Replaced article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new
[1/7]:
- Similarity between Units of Natural Language: The Transition from Coarse to Fine Estimation
Wenchuan Mu

So multinational companies will choose Europe or Asia for knowledge-intensive units with many nationalities, well played by Trump 😂
https://www.nytimes.com/2025/09/19/us/poli

Trump Says U.S. Will Institute $100,000 Fee for H-1B Visas
Administration officials said the charge would help American workers. President Trump also announced the terms of a new “gold card” program.

On the role of the design phase in a linear regression
Junho Choi
https://arxiv.org/abs/2509.01861 https://arxiv.org/pdf/2509.01861

On the role of the design phase in a linear regression
The "design phase" refers to a stage in observational studies, during which a researcher constructs a subsample that achieves a better balance in covariate distributions between the treated and untreated units. In this paper, we study the role of this preliminary phase in the context of linear regression, offering a justification for its utility. To that end, we first formalize the design phase as a process of estimand adjustment via selecting a subsample. Then, we show that covariate balance o…

$S$-units and period length of continued fractions of linear recursions
Veekesh Kumar, Vivek Singh, Johannes Sprang
https://arxiv.org/abs/2509.14599 https://

$S$-units and period length of continued fractions of linear recursions
Let $(A_n)_{n\in \mathbb{Z}}$ be a linear recurrence sequence with values in a real quadratic field. In this paper, we study the question whether the period length of the continued fraction of $A_n$ is bounded as $n$ varies. The case where $(A_n)_n$ is a linear recurrence of degree $1$ has previously been solved by Corvaja and Zannier. Their result settled a problem posed by Mendès France about the length of the periods of the continued fractions for $α^n$.

Ukrainian war masters: repair units and the “Flamingo” missile changing the course of the war: https://benborges.xyz/2025/08/19/ukrainian-war-masters-repair-units.html

The companies that sell eye glasses cleaning solution seemingly have no problem with a pump that expels about 5 times as much fluid per pump as is necessary to clean a lens. I get that this allows them to sell more units of lens cleaning solution, but it makes a bigger mess for the user. I'd pay more for less fluid if it came with a pump that dispensed a reasonable amount.
Try though I might, I’m incapable of doing a 20% pump.

Moody Urbanity - Playground 🎠
情绪化城市 - 娱乐场 🎠
📷 Pentax MX
🎞️ Orwo Wolfen P400
#filmphotography #Photography #blackandwhite

Implementation techniques for multigrid solvers for high-order Discontinuous Galerkin methods
Sean Baccas, Alexander A. Belozerov, Eike H. M\"uller, Tobias Weinzierl
https://arxiv.org/abs/2510.00998

Implementation techniques for multigrid solvers for high-order Discontinuous Galerkin methods
Matrix-free geometric multigrid solvers for elliptic PDEs that have been discretised with Higher-order Discontinuous Galerkin (DG) methods are ideally suited to exploit state-of-the-art computer architectures. Higher polynomial degrees offer exponential convergence, while the workload fits to vector units, is straightforward to parallelise, and exhibits high arithmetic intensity. Yet, DG methods such as the interior penalty DG discreisation do not magically guarantee high performance: they requ…

How Quinnen Williams, Logan Wilson trades affect Cowboys' playoff chances with team sitting at 3-5-1

https://www.cbssports.com/nfl/news/how-qui

Behavioural Classification in C. elegans: a Spatio-Temporal Analysis of Locomotion
Nemanja Antonic, Monika Scholz, Aymeric Vellinger, Euphrasie Ramahefarivo, Elio Tuci
https://arxiv.org/abs/2510.00086 …

Behavioural Classification in C. elegans: a Spatio-Temporal Analysis of Locomotion
The 1mm roundworm C. elegans is a model organism used in many sub-areas of biology to investigate different types of biological processes. In order to complement the n-vivo analysis with computer-based investigations, several methods have been proposed to simulate the worm behaviour. These methods extract discrete behavioural units from the flow of the worm movements using different types of tracking techniques. Nevertheless, these techniques require a clear view of the entire worm body, which …

Attorney General's Office Sues Investment Firm for Obstructing Access to Stable, Affordable Housing for Over 70 Manufactured Housing Units in Taunton | Mass.gov
https://www.mass.gov/news/attorney-generals-office-sues-investment-firm-for-obstructing-access-to-stable-affordable-housing-for-over-70-manufactured-housing-units-in-taunton

Know What, Know Why: Semantic Hazard Communication for Intelligent V2X Systems
Chen Sun, Wenqi Zhang, Bizhu Wang, Xiaodong Xu, Chau Yuen, Yan Zhang, Ping Zhang
https://arxiv.org/abs/2509.02442

Know What, Know Why: Semantic Hazard Communication for Intelligent V2X Systems
In current vehicle-to-everything (V2X) communication systems, roadside units (RSUs) broadcast brief warning messages that alert nearby vehicles to avoid potential hazards. However, these messages lack contextual information on why a warning is issued, leading to excessive caution or inefficient driving behaviors. To avoid such a situation, we propose a semantic-enhanced and explainable V2X (SEE-V2X) system. In the proposed system, RSUs equipped with smart cameras detect obstructions and transmi…

Radar units stolen from MiG-29 fighter jets at a Hungarian air base: https://benborges.xyz/2025/08/15/radar-units-stolen-from-mig.html

Covariate Adjustment Cannot Hurt: Treatment Effect Estimation under Interference with Low-Order Outcome Interactions
Xinyi Wang, Shuangning Li
https://arxiv.org/abs/2509.03050 h…

Covariate Adjustment Cannot Hurt: Treatment Effect Estimation under Interference with Low-Order Outcome Interactions
In randomized experiments, covariates are often used to reduce variance and improve the precision of treatment effect estimates. However, in many real world settings, interference between units, where one unit's treatment affects another's outcome, complicates causal inference. This raises a key question: how can covariates be effectively used in the presence of interference? Addressing this challenge is nontrivial, as direct covariate adjustment, such as through regression, can sometimes incre…

Selection of Optimal Number and Location of PMUs for CNN Based Fault Location and Identification
Khalid Daud Khattak, Muhammad A. Choudhry
https://arxiv.org/abs/2509.02192 https…

Selection of Optimal Number and Location of PMUs for CNN Based Fault Location and Identification
In this paper, we present a data-driven Forward Selection with Neighborhood Refinement (FSNR) algorithm to determine the number and placement of Phasor Measurement Units (PMUs) for maximizing deep-learning-based fault diagnosis performance. Candidate PMU locations are ranked via a cross-validated Support Vector Machine (SVM) classifier, and each selection is refined through local neighborhood exploration to produce a near-optimal sensor set. The resulting PMU subset is then supplied to a 1D Con…

Scaling LLM Test-Time Compute with Mobile NPU on Smartphones
Zixu Hao, Jianyu Wei, Tuowei Wang, Minxing Huang, Huiqiang Jiang, Shiqi Jiang, Ting Cao, Ju Ren
https://arxiv.org/abs/2509.23324

Scaling LLM Test-Time Compute with Mobile NPU on Smartphones
Deploying Large Language Models (LLMs) on mobile devices faces the challenge of insufficient performance in smaller models and excessive resource consumption in larger ones. This paper highlights that mobile Neural Processing Units (NPUs) have underutilized computational resources, particularly their matrix multiplication units, during typical LLM inference. To leverage this wasted compute capacity, we propose applying parallel test-time scaling techniques on mobile NPUs to enhance the performa…

Ranking NFL's top 10 wide receiver tandems for 2025 season: Eagles, Bengals, Vikings among most gifted units

https://www.cbssports.com/nfl/news/ranking

Experts warn that Nvidia's large investments in data centers and startups, almost like a stimulus program, could be artificially inflating demand for its GPUs (The Information)
https://www.theinformation.com/articles/jensen-huang-using-nvidia-cash-r…

How Jensen Huang is Using Nvidia Cash to Rule the AI Economy
Even by the standards of one of the most prodigious dealmakers in tech, the past month or so has been a head-spinning one for Nvidia’s Jensen Huang. Just in September, Nvidia agreed to buy any unused Nvidia graphics processing units that cloud provider CoreWeave doesn’t sell to other customers ...

Entanglement dynamics of monitored non-interacting fermions on Graphic-Processing-Units
Bo Fan, Can Yin, Antonio M. Garc\'ia-Garc\'ia
https://arxiv.org/abs/2508.18468 ht…

Entanglement dynamics of monitored non-interacting fermions on Graphic-Processing-Units
The description of the entanglement dynamics of monitored non-interacting fermions, including the existence of measurement-induced phase transitions (MIPT), is a challenging problem with conflicting results in the literature. The mapping of the problem onto a non-linear sigma model (NLSM) indicates that relatively large lattice sizes are required to determine the nature of the entanglement entropy (EE) in the thermodynamics limit. Here we address this problem numerically for monitored non-inter…

Componentization: Decomposing Monolithic LLM Responses into Manipulable Semantic Units
Ryan Lingo, Rajeev Chhajer, Martin Arroyo, Luka Brkljacic, Ben Davis, Nithin Santhanam
https://arxiv.org/abs/2509.08203

Componentization: Decomposing Monolithic LLM Responses into Manipulable Semantic Units
Large Language Models (LLMs) often produce monolithic text that is hard to edit in parts, which can slow down collaborative workflows. We present componentization, an approach that decomposes model outputs into modular, independently editable units while preserving context. We describe Modular and Adaptable Output Decomposition (MAOD), which segments responses into coherent components and maintains links among them, and we outline the Component-Based Response Architecture (CBRA) as one way to i…

Anduril plans to make 100 units of its AI-powered EagleEye helmet and eyewear for the US Army by Q2 2026, replacing Microsoft's IVAS; Meta provided some tech (Brandi Vincent/DefenseScoop)
https://defensescoop.com/2025/10/13/palmer-luckey-anduril-…

Palmer Luckey previews Anduril’s new, AI-powered EagleEye headwear ahead of AUSA reveal
Anduril is set to deliver roughly 100 units of its new AI-powered EagleEye headwear to the Army next year.

'Abhorrent': Retired general says Trump’s 'specialized units' look like 'Germany in the 1930s' - Alternet.org
https://www.alternet.org/general-trump-national-guard/

From quantum feature maps to quantum reservoir computing: perspectives and applications
Casper Gyurik, Filip Wudarski, Evan Philip, Antonio Sannia, Hossein Sadeghi, Oleksandr Kyriienko, Davide Venturelli, Antonio A. Gentile
https://arxiv.org/abs/2510.01797

From quantum feature maps to quantum reservoir computing: perspectives and applications
We explore the interplay between two emerging paradigms: reservoir computing and quantum computing. We observe how quantum systems featuring beyond-classical correlations and vast computational spaces can serve as non-trivial, experimentally viable reservoirs for typical tasks in machine learning. With a focus on neutral atom quantum processing units, we describe and exemplify a novel quantum reservoir computing (QRC) workflow. We conclude exploratively discussing the main challenges ahead, whi…

Think Socially via Cognitive Reasoning
Jinfeng Zhou, Zheyu Chen, Shuai Wang, Quanyu Dai, Zhenhua Dong, Hongning Wang, Minlie Huang
https://arxiv.org/abs/2509.22546 https://

Think Socially via Cognitive Reasoning
LLMs trained for logical reasoning excel at step-by-step deduction to reach verifiable answers. However, this paradigm is ill-suited for navigating social situations, which induce an interpretive process of analyzing ambiguous cues that rarely yield a definitive outcome. To bridge this gap, we introduce Cognitive Reasoning, a paradigm modeled on human social cognition. It formulates the interpretive process into a structured cognitive flow of interconnected cognitive units (e.g., observation or…

Accelerating Latency-Critical Applications with AI-Powered Semi-Automatic Fine-Grained Parallelization on SMT Processors
Denis Los, Igor Petushkov
https://arxiv.org/abs/2509.00883

Accelerating Latency-Critical Applications with AI-Powered Semi-Automatic Fine-Grained Parallelization on SMT Processors
Latency-critical applications tend to show low utilization of functional units due to frequent cache misses and mispredictions during speculative execution in high-performance superscalar processors. However, due to significant impact on single-thread performance, Simultaneous Multithreading (SMT) technology is rarely used with heavy threads of latency-critical applications. In this paper, we explore utilization of SMT technology to support fine-grained parallelization of latency-critical appli…

Satellite imagery shows the arrival of advanced F-35 stealth jets in Puerto Rico
as part of a U.S. military buildup amid heightened tensions with Venezuela.
Donald Trump authorized the stationing of 10 F-35 jet fighters in the Caribbean region as part of a broader surge of units aimed at countering drug cartels operating in the region.
The jets so far have not been used in strikes against alleged drug boats originating in Venezuela,
but the firepower is a show of force …

Satellites Show US F-35 Jets in Caribbean as Trump Flexes Muscles at Maduro
Venezuela is ramping up its own military posture as Maduro signals defiance against Trump.

2025 NFL roster waivers and trade candidates: Cowboys linebackers, Packers wide receivers among deepest units

https://www.cbssports.com/nfl/news/2025-nf

Advantage of utilizing nonlocal magic resource in Haar-random circuits
Xiao Huang, Guanhua Chen, Yao Yao
https://arxiv.org/abs/2509.26342 https://arxiv.org…

Advantage of utilizing nonlocal magic resource in Haar-random circuits
In design and simulation of quantum circuits with multiple units, the computational ability is greatly limited by quickly increasing entanglement, and the ordinary sampling methods normally exhibit low efficiency. Herein, we uncover an intrinsic scaling law of the nonlocal magic resource and the bond dimension of matrix product states in Haar-random quantum circuits, that is, the nonlocal magic resource is converged on a bond dimension in logarithmic scale with the system size. It means, in the…

Efficient Distributed Training via Dual Batch Sizes and Cyclic Progressive Learning
Kuan-Wei Lu, Ding-Yong Hong, Pangfeng Liu, Jan-Jan Wu
https://arxiv.org/abs/2509.26092 https:…

Efficient Distributed Training via Dual Batch Sizes and Cyclic Progressive Learning
Distributed machine learning is critical for training deep learning models on large datasets and with numerous parameters. Current research primarily focuses on leveraging additional hardware resources and powerful computing units to accelerate the training process. As a result, larger batch sizes are often employed to speed up training. However, training with large batch sizes can lead to lower accuracy due to poor generalization. To address this issue, we propose the dual batch size learning …

Sources: Apple is making all four iPhone 17 models in India ahead of debut, a first, as it expands to five factories to cut reliance on China for US-bound units (Bloomberg)
https://www.bloomberg.com/news/articles/2025-08-19/…

Over 250,000 desertion, AWOL cases opened since 2022, prosecutors say: https://benborges.xyz/2025/08/26/over-desertion-awol-cases-opened.html

MUSS-TI: Multi-level Shuttle Scheduling for Large-Scale Entanglement Module Linked Trapped-Ion
Xian Wu, Chenghong Zhu, Jingbo Wang, Xin Wang
https://arxiv.org/abs/2509.25988 htt…

MUSS-TI: Multi-level Shuttle Scheduling for Large-Scale Entanglement Module Linked Trapped-Ion
Trapped-ion computing is a leading architecture in the pursuit of scalable and high fidelity quantum systems. Modular quantum architectures based on photonic interconnects offer a promising path for scaling trapped ion devices. In this design, multiple Quantum Charge Coupled Device (QCCD) units are interconnected through entanglement module. Each unit features a multi-zone layout that separates functionalities into distinct areas, enabling more efficient and flexible quantum operations. However…

Ukraine claims it retook Novomykhailivka after special forces counterattack: https://benborges.xyz/2025/08/25/ukraine-claims-it-retook-novomykhailivka.html

Russia deploys donkeys to front-line logistics units: https://benborges.xyz/2025/09/23/russia-deploys-donkeys-to-frontline.html

10 villages in a week: Ukraine liberates Novomykhailivka and pushes Russian forces back near Zelenyi Hai: https://benborges.xyz/2025/08/25/villages-in-a-week-ukraine.html