Tootfinder

POLARON: Precision-aware On-device Learning and Adaptive Runtime-cONfigurable AI acceleration
Mukul Lokhande, Santosh Kumar Vishvakarma
https://arxiv.org/abs/2506.08785

POLARON: Precision-aware On-device Learning and Adaptive Runtime-cONfigurable AI acceleration
The increasing complexity of AI models requires flexible hardware capable of supporting diverse precision formats, particularly for energy-constrained edge platforms. This work presents PARV-CE, a SIMD-enabled, multi-precision MAC engine that performs efficient multiply-accumulate operations using a unified data-path for 4/8/16-bit fixed-point, floating point, and posit formats. The architecture incorporates a layer adaptive precision strategy to align computational accuracy with workload sensi…

SGD Convergence under Stepsize Shrinkage in Low-Precision Training
Vincent-Daniel Yun
https://arxiv.org/abs/2508.07142 https://arxiv.org/pdf/2508.07142

SGD Convergence under Stepsize Shrinkage in Low-Precision Training
Low-precision training has become essential for reducing the computational and memory costs of large-scale deep learning. However, quantization of gradients introduces both magnitude shrinkage and additive noise, which can alter the convergence behavior of stochastic gradient descent (SGD). In this work, we study the convergence of SGD under a gradient shrinkage model, where each stochastic gradient is scaled by a factor $q_k \in (0,1]$ and perturbed by zero-mean quantization noise. We show tha…

from my link log —
Precision Clock Mk IV.
https://mitxela.com/projects/precision_clock_mk_iv
saved 2025-05-31 https://…

Modeling Uncertainties on the Z Boson Background in the Context of High Precision W Boson Mass Measurements
Maarten Boonekamp, Matthias Schott, Chen Wang
https://arxiv.org/abs/2507.07835

Modeling Uncertainties on the Z Boson Background in the Context of High Precision W Boson Mass Measurements
The precise determination of the $W$ boson mass, $m_W$, is a cornerstone of electroweak precision tests and a critical input to global fits of the Standard Model (SM). While most existing measurements of $m_W$ are in agreement with SM predictions, the recent result from the CDF collaboration exhibits a significant deviation from the SM prediction but also exceeding $4σ$ from the global average of all other high precision measurements. This prompts renewed scrutiny of potential sources of syste…

Precision $e^ e^-$ Hemisphere Masses in the Dijet Region with Power Corrections
Andre H. Hoang, Vicent Mateu, Matthew D. Schwartz, Iain W. Stewart
https://arxiv.org/abs/2506.09130

Precision $e^+e^-$ Hemisphere Masses in the Dijet Region with Power Corrections
We derive high-precision results for the $e^+e^-$ heavy jet mass (HJM) $d σ/d ρ$ and dihemisphere mass (DHM) $d^2σ/(d s_1 d s_2)$ distributions, for $s_1\sim s_2$, in the dijet region. New results include: i) the N$^3$LL resummation for HJM of large logarithms $\ln^n(ρ)$ at small $ρ$ including the exact two-loop non-global hemisphere soft function, the 4-loop cusp anomalous dimension and the 3-loop hard and jet functions, ii) N$^3$LL results for DHM with resummation of logarithms $\ln(s_{1…

Monolithic interferometric modules for multi-axis coordinate positioning with sub-nanometre precision
Simon Rerucha, Ondrej Cip, Miroslava Hola, Josef Lazar, Bretislav Mikel
https://arxiv.org/abs/2507.07642

Monolithic interferometric modules for multi-axis coordinate positioning with sub-nanometre precision
We report on developing, characterizing, and verifying a compact, monolithic laser interferometric assembly designed for high-precision two- and three-axis displacement measurements in coordinate positioning systems. The design targets OEM integration into advanced precision motion platforms, including nanometrology instruments, semiconductor manufacturing equipment, and ultra-high vacuum (UHV) environments. Using a single laser source, the assembly integrates multiple interferometers into a mo…

Searching for actual causes: Approximate algorithms with adjustable precision
Samuel Reyd, Ada Diaconescu, Jean-Louis Dessalles
https://arxiv.org/abs/2507.07857

Searching for actual causes: Approximate algorithms with adjustable precision
Causality has gained popularity in recent years. It has helped improve the performance, reliability, and interpretability of machine learning models. However, recent literature on explainable artificial intelligence (XAI) has faced criticism. The classical XAI and causality literature focuses on understanding which factors contribute to which consequences. While such knowledge is valuable for researchers and engineers, it is not what non-expert users expect as explanations. Instead, these users…

MedReasoner: Reinforcement Learning Drives Reasoning Grounding from Clinical Thought to Pixel-Level Precision
Zhonghao Yan, Muxi Diao, Yuxuan Yang, Jiayuan Xu, Kaizhou Zhang, Ruoyan Jing, Lele Yang, Yanxi Liu, Kongming Liang, Zhanyu Ma
https://arxiv.org/abs/2508.08177

MedReasoner: Reinforcement Learning Drives Reasoning Grounding from Clinical Thought to Pixel-Level Precision
Accurately grounding regions of interest (ROIs) is critical for diagnosis and treatment planning in medical imaging. While multimodal large language models (MLLMs) combine visual perception with natural language, current medical-grounding pipelines still rely on supervised fine-tuning with explicit spatial hints, making them ill-equipped to handle the implicit queries common in clinical practice. This work makes three core contributions. We first define Unified Medical Reasoning Grounding (UMRG…

A new hierarchical distribution on arbitrary sparse precision matrices
Gianluca Mastrantonio, Pierfrancesco Alaimo Di Loro, Marco Mingione
https://arxiv.org/abs/2506.09607

A new hierarchical distribution on arbitrary sparse precision matrices
We introduce a general strategy for defining distributions over the space of sparse symmetric positive definite matrices. Our method utilizes the Cholesky factorization of the precision matrix, imposing sparsity through constraints on its elements while preserving their independence and avoiding the numerical evaluation of normalization constants. In particular, we develop the S-Bartlett as a modified Bartlett decomposition, recovering the standard Wishart as a particular case. By incorporating…

Half of North Korea's first missile shipment to Russia exploded in mid-air — now they strike Ukrainian targets with deadly precision - Euromaidan Press
https://euromaidanpress.com/2025/06/10/half-of-north-koreas-first-missile-shipment-to-russia-exploded-in-mid-air-now-they-strike-ukrainian-targets-with-deadly-precision/

A comprehensive study on radial velocity signals using ESPRESSO: Pushing precision to the 10 cm/s level
P. Figueira, J. P. Faria, A. M. Silva, A. Castro-Gonz\'alez, J. Gomes da Silva, S. G. Sousa, D. Bossini, M. R. Zapatero-Osorio, O. Balsalobre-Ruza, J. Lillo-Box, H. M. Tabernero, V. Adibekyan, R. Allart, S. Benatti, F. Bouchy, A. Cabral, S. Cristiani, X. Dumusque, J. I. Gonz\'alez-Hern\'andez, N. Hara, G. Lo Curto, C. Lovis, A. Mehner, P. Molaro, F. Pepe, N. C. Santos, D.…

A comprehensive study on radial velocity signals using ESPRESSO: Pushing precision to the 10 cm/s level
We analyse ESPRESSO data for the stars HD10700, HD20794, HD102365, and HD304636 acquired via its Guaranteed Time Observations (GTO) programme. We characterise the stars' radial velocity (RV) signals down to a precision of 10 cm/s on timescales ranging from minutes to planetary periods falling within the host's habitable zone (HZ). We study the RV signature of pulsation, granulation, and stellar activity, inferring the potential presence of planets around these stars. Thus, we outline the popula…

Performant Unified GPU Kernels for Portable Singular Value Computation Across Hardware and Precision
Evelyne Ringoot, Rabab Alomairy, Valentin Churavy, Alan Edelman
https://arxiv.org/abs/2508.06339

Performant Unified GPU Kernels for Portable Singular Value Computation Across Hardware and Precision
This paper presents a portable, GPU-accelerated implementation of a QR-based singular value computation algorithm in Julia. The singular value ecomposition (SVD) is a fundamental numerical tool in scientific computing and machine learning, providing optimal low-rank matrix approximations. Its importance has increased even more in large-scale machine learning pipelines, including large language models (LLMs), where it enables low-rank adaptation (LoRA). The implemented algorithm is based on the …

Superresolution for two incoherent optical sources with arbitrary intensities in two dimensions
Junyan Li, Shengshi Pang
https://arxiv.org/abs/2508.08049 https://

Superresolution for two incoherent optical sources with arbitrary intensities in two dimensions
The Rayleigh criterion has long served as a fundamental limit for the resolution of classical optical imaging. However, recent advances in quantum metrology have led to the quantum superresolution technique that can break Rayleigh's curse and estimate the separation between a pair of incoherent point sources with nonvanishing precision. For two-dimensional optical systems, the precision limit of estimating the whole separation, i.e., the distance, between two point sources remains unknown so fa…

High precision measurement of phi-nucleon cross section using a tensor polarized deuteron target
Mark M. Dalton, Alexandre Deur, Chris D. Keith, Nadia Fomin, Misak Sargsian
https://arxiv.org/abs/2508.06481

High precision measurement of phi-nucleon cross section using a tensor polarized deuteron target
We propose to measure the $ϕ$-nucleon cross section $σ_{ϕN}$ to solve the longstanding puzzle of whether $σ_{ϕN} \simeq 10$ mb, as extracted from photoproduction, or $\sim$30 mb, as obtained from nuclear rescattering. CLAS data demonstrated that even precision data for unpolarized $ϕ$ photoproduction are insufficient to unambiguously extract $σ_{ϕN}$, allowing the possibilities of both $σ_{ϕN}$ values. However, as it often happens, the additional spin degrees of freedom afforded by a …

This https://arxiv.org/abs/2501.03742 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Computing accurate eigenvalues using a mixed-precision Jacobi algorithm
We provide a rounding error analysis of a mixed-precision preconditioned Jacobi algorithm, which uses low precision to compute the preconditioner, applies it at high precision (amounting to two matrix-matrix multiplications) and solves the eigenproblem using the Jacobi algorithm at working precision. Our analysis yields meaningfully smaller relative forward error bounds for the computed eigenvalues compared with those of the Jacobi algorithm. We further prove that, after preconditioning, if the…

Russia’s transport minister was found dead in what authorities said was an apparent suicide
— news that broke hours after the Kremlin announced he had been dismissed by Putin.
The firing of Roman Starovoit followed a weekend of travel chaos
— airports grounded hundreds of flights due to the threat of drone attacks from Ukraine.
Russian officials did not give a reason for his dismissal.

Trump says the US must send more weapons to Ukraine
President Donald Trump says the U.S. will have to send more weapons to Ukraine, just days after ordering a pause in critical weapons deliveries to Kyiv. The comments from Trump on Monday appear to be an abrupt change in posture. The Pentagon announced last week that it would hold back delivering to Ukraine some air defense missiles, precision-guided artillery and other weapons. U.S. officials said the Defense Department was concerned that its own stockpiles have declined too much. Meanwhile, Ru…

Semantic Reasoning Meets Numerical Precision: An LLM-Powered Multi-Agent System for Power Grid Control
Yan Zhang
https://arxiv.org/abs/2508.05702 https://a…

Semantic Reasoning Meets Numerical Precision: An LLM-Powered Multi-Agent System for Power Grid Control
The increasing penetration of Distributed Energy Resources (DERs), widespread adoption of Electric Vehicles (EVs), and the growing frequency of extreme weather events have significantly increased the complexity of power grid planning, operation, and management. Traditional rule-based systems and numerical optimization approaches often struggle with the scale, dynamics, and adaptability required by modern power networks. This paper introduces Grid-Agent, an autonomous, AI-driven framework that c…

High-precision Beam Optics Calculation of the HIAF-BRing Using Measured Fields
Ke Wang, Li-Na Sheng, Geng Wang, Wei-Ping Chai, You-Jin Yuan, Jian-Cheng Yang, Guo-Dong Shen, Liang Lu
https://arxiv.org/abs/2506.08421

High-precision Beam Optics Calculation of the HIAF-BRing Using Measured Fields
The construction of the High Intensity heavy ion Accelerator Facility (HIAF) has been completed, with current efforts focused on subsystem commissioning. Beam commissioning is scheduled for autumn 2025, marking a critical milestone in HIAF's operational readiness. This paper presents high-precision optics calculations for the Booster Ring (BRing) of HIAF, a key component for achieving stable heavy-ion beam acceleration. Leveraging high-precision magnetic field data, each magnet is divided into …

Intracortical bipolar stimulation allows selective activation of neuronal populations in the cortex #BCI

Intracortical bipolar stimulation allows selective activation of neuronal populations in the cortex
Background Intracortical electrical stimulation has emerged as a promising approach for sensory restoration, such as a cortical visual prosthesis, yet its effectiveness is limited by current spread and electrode density constraints. Objective To determine whether intracortical bipolar current steering—via modulation of the return electrode position—can enhance neural activation selectivity compared to traditional monopolar stimulation, with the aim of improving spatial precision in sensory…

Mathematicians, a plea for understanding. Or at least I point out a curiosity.
I was playing around in ivy (high precision calculator) with Stirling's approximation and noticed something. I compute (Stirling N)/N! for successive powers of 10:
approx 10 100 1000 10000 100000 1000000
0.99170403955606148634 0.99916701656784300017 0.99991667014156998579 0.99999166670139157019 0.99999916666701389157 0.99999991666667013889
The successive approximations improve (approach 1.0) by one decimal digit of result for each digit of argument, but that's not the curious part. The curious part happens after the 9's: the result seems to be trending towards a limit of 0.9...166666...... It adds not only a 9 for each input digit, it extends the next part by a digit 6 for every factor of 10. Now 1/6 is 0.166666 and that makes me think there's something going on here.
Is this true? Is it known? Is it proven?

Widest Path Games and Maximality Inheritance in Bounded Value Iteration for Stochastic Games
Kittiphon Phalakarn, Yun Chen Tsai, Ichiro Hasuo
https://arxiv.org/abs/2508.06088 ht…

Widest Path Games and Maximality Inheritance in Bounded Value Iteration for Stochastic Games
For model checking stochastic games (SGs), bounded value iteration (BVI) algorithms have gained attention as efficient approximate methods with rigorous precision guarantees. However, BVI may not terminate or converge when the target SG contains end components. Most existing approaches address this issue by explicitly detecting and processing end components--a process that is often computationally expensive. An exception is the widest path-based BVI approach previously studied by Phalakarn et a…

Early and Accurate Recession Detection Using Classifiers on the Anticipation-Precision Frontier
Pascal Michaillat
https://arxiv.org/abs/2506.09664 https://…

Early and Accurate Recession Detection Using Classifiers on the Anticipation-Precision Frontier
This paper develops a new method for detecting US recessions in real time. The method constructs millions of recession classifiers by combining unemployment and vacancy data to reduce detection noise. Classifiers are then selected to avoid both false negatives (missed recessions) and false positives (nonexistent recessions). The selected classifiers are therefore perfect, in that they identify all 15 historical recessions in the training period without any false positives. By further selecting …

AI Magnetic Levitation (Maglev) Conveyor for Automated Assembly Production
Ray Wai Man Kong
https://arxiv.org/abs/2506.08039 https://…

AI Magnetic Levitation (Maglev) Conveyor for Automated Assembly Production
Efficiency, speed, and precision are essential in modern manufacturing. AI Maglev Conveyor system, combining magnetic levitation (maglev) technology with artificial intelligence (AI), revolutionizes automated production processes. This system reduces maintenance costs and downtime by eliminating friction, enhancing operational efficiency. It transports goods swiftly with minimal energy consumption, optimizing resource use and supporting sustainability. AI integration enables real-time monitorin…

Repeton: Structured Bug Repair with ReAct-Guided Patch-and-Test Cycles
Nguyen Phu Vinh, Anh Chung Hoang, Chris Ngo, Truong-Son Hy
https://arxiv.org/abs/2506.08173

Repeton: Structured Bug Repair with ReAct-Guided Patch-and-Test Cycles
Large Language Models (LLMs) have shown strong capabilities in code generation and comprehension, yet their application to complex software engineering tasks often suffers from low precision and limited interpretability. We present Repeton, a fully open-source framework that leverages LLMs for precise and automated code manipulation in real-world Git repositories. Rather than generating holistic fixes, Repeton operates through a structured patch-and-test pipeline: it iteratively diagnoses issue…

Time-Dependent Precision Measurement of $B_s^0\rightarrow \phi \mu^ \mu^-$ Decay at FCC-$ee$
Tsz Hong Kwok, Zachary Polonsky, Valeriia Lukashenko, Jason Aebischer, Ben Kilminster
https://arxiv.org/abs/2506.08089

Time-Dependent Precision Measurement of $B_s^0\rightarrow ϕμ^+μ^-$ Decay at FCC-$ee$
We study the feasibility of measuring time-dependent $C\!P$ violation in the rare flavor-changing neutral current (FCNC) decay $B_s^0 \rightarrow ϕ(\rightarrow K^+K^-) μ^+ μ^-$ at the FCC-$ee$. In the Standard Model (SM), $C\!P$ violation in this mode arises only at higher orders and is highly suppressed. Extensions of the SM, collectively referred to as New Physics (NP), can introduce additional $C\!P$-violating phases that enhance such effects. The decay $B_s^0 \rightarrow ϕμ^+ μ^-$, me…

Diffusion Non-Additive Model for Multi-Fidelity Simulations with Tunable Precision
Junoh Heo, Romain Boutelet, Chih-Li Sung
https://arxiv.org/abs/2506.08328

Diffusion Non-Additive Model for Multi-Fidelity Simulations with Tunable Precision
Computer simulations are indispensable for analyzing complex systems, yet high-fidelity models often incur prohibitive computational costs. Multi-fidelity frameworks address this challenge by combining inexpensive low-fidelity simulations with costly high-fidelity simulations to improve both accuracy and efficiency. However, certain scientific problems demand even more accurate results than the highest-fidelity simulations available, particularly when a tuning parameter controlling simulation a…

from my link log —
Idris 2: quantitative type theory in practice.
https://arxiv.org/abs/2104.00480
saved 2025-06-11 https://dotat…

Idris 2: Quantitative Type Theory in Practice
Dependent types allow us to express precisely what a function is intended to do. Recent work on Quantitative Type Theory (QTT) extends dependent type systems with linearity, also allowing precision in expressing when a function can run. This is promising, because it suggests the ability to design and reason about resource usage protocols, such as we might find in distributed and concurrent programming, where the state of a communication channel changes throughout program execution. As yet, howe…

Enhancing Measurement Precision of Non-Degenerate Two-Photon Absorption
Gaurav Shukla, Shahram Panahiyan, Devendra Kumar Mishra, Frank Schlawin
https://arxiv.org/abs/2506.07384

Enhancing Measurement Precision of Non-Degenerate Two-Photon Absorption
Recent theoretical and experimental studies have shown that squeezed states of light can be engineered to enhance the resolution of nonlinear optical measurements. Here, we analyze non-degenerate two-photon absorption signals obtained from transmission measurements using two-mode squeezed light and compare different measurement strategies. In particular, we investigate how correlations between the light modes may be used to improve the achievable precision. We find that intensity correlation me…

OmniBench-RAG: A Multi-Domain Evaluation Platform for Retrieval-Augmented Generation Tools
Jiaxuan Liang, Shide Zhou, Kailong Wang
https://arxiv.org/abs/2508.05650 https://

OmniBench-RAG: A Multi-Domain Evaluation Platform for Retrieval-Augmented Generation Tools
While Retrieval Augmented Generation (RAG) is now widely adopted to enhance LLMs, evaluating its true performance benefits in a reproducible and interpretable way remains a major hurdle. Existing methods often fall short: they lack domain coverage, employ coarse metrics that miss sub document precision, and fail to capture computational trade offs. Most critically, they provide no standardized framework for comparing RAG effectiveness across different models and domains. We introduce OmniBenc…

Exploring the Eclipsing Binary System IY Aur: First Photometric Insights
N. Alan, M. Alpsoy, Y. Kilic
https://arxiv.org/abs/2506.09158 https://

Exploring the Eclipsing Binary System IY Aur: First Photometric Insights
Eclipsing binary systems play a vital role in astrophysics, as they provide a direct means of measuring fundamental stellar parameters. By combining high-precision space-based observations with ground-based multicolor photometric data, these parameters can be determined with greater accuracy. In this study, we present the first photometric analysis of the IY Aur eclipsing binary system, using a combination of the Transiting Exoplanet Survey Satellite (TESS) light curve and new UBVRI CCD observa…

Investigating non-Keplerian motion in flare events with astrometric data
Fengting Xie, Qing-Hua Zhu, Xin Li
https://arxiv.org/abs/2507.07411 https://

Investigating non-Keplerian motion in flare events with astrometric data
The GRAVITY interferometer has achieved microarcsecond precision in near-infrared interferometry, enabling tracking of flare centroid motion in the strong gravitational field near the Sgr A*. It might be promising to serve as a unique laboratory for exploring the accretion matter near black holes or testing Einstein's gravity. Recent studies debated whether there is a non-Keplerian motion of the flares in the GRAVITY dataset. It motivates us to present a comprehensive analysis based on error es…

🌼 Flowers unfold with surprising precision, despite unruly genes
#flowers

Flowers unfold with surprising precision, despite unruly genes
Flowers grow stems, leaves and petals in a perfect pattern again and again. A new Cornell study shows that even in this precise, patterned formation in plants, gene activity inside individual cells is far more chaotic than it appears from the outside.

Estimating prevalence with precision and accuracy
Aime Bienfait Igiraneza, Christophe Fraser, Robert Hinch
https://arxiv.org/abs/2507.06061 https://…

Estimating prevalence with precision and accuracy
Unlike classification, whose goal is to estimate the class of each data point in a dataset, prevalence estimation or quantification is a task that aims to estimate the distribution of classes in a dataset. The two main tasks in prevalence estimation are to adjust for bias, due to the prevalence in the training dataset, and to quantify the uncertainty in the estimate. The standard methods used to quantify uncertainty in prevalence estimates are bootstrapping and Bayesian quantification methods. …

Baryonification II: Constraining feedback with X-ray and kinematic Sunyaev-Zel'dovich observations
Michael Kova\v{c}, Andrina Nicola, Jozef Bucko, Aurel Schneider, Robert Reischke, Sambit K. Giri, Romain Teyssier, Matthieu Schaller, Joop Schaye
https://arxiv.org/abs/2507.07991

Baryonification II: Constraining feedback with X-ray and kinematic Sunyaev-Zel'dovich observations
Baryonic feedback alters the matter distribution on small and intermediate scales, posing a challenge for precision cosmology. The new, component-wise baryonification (BFC) approach provides a self-consistent framework to model feedback effects for different observables. In this paper we use this framework to fit kinematic Sunyaev-Zel'dovich (kSZ) observations from the Atacama Cosmology Telescope (ACT) alongside halo X-ray gas fractions from eROSITA, investigating baryonic feedback in a cosmolo…

AugerPrime: Status and first results
David Schmidt (for the Pierre Auger Collaboration)
https://arxiv.org/abs/2508.08056 https://arxiv.org/pdf/2508.08056…

AugerPrime: Status and first results
With the knowledge and statistical precision derived from two decades of measurement, the Pierre Auger Observatory has significantly deepened our understanding of ultra-high-energy cosmic rays while unearthing an increasingly complex astrophysical landscape and exposing tensions with hadronic interaction models. The field now demands the mass of individual cosmic-ray primaries as an observable with an exposure that only the 3000-square-kilometer surface array of the Observatory can provide. Acc…

“THE BIKE FRAME IS A BRIDGE ON WHEELS, BUILT TO CARRY PEOPLE OVER THE GROUND.”
The Modern Bicycle and its Accessories, 1898
Bridge Bike Works made In 🇨🇦
#cycling

BRIDGE Bike Works - North American Made Carbon Bikes
BRIDGE was founded with a vision to create a better carbon bike. One that is designed, precision-engineered and built locally. One that is handcrafted in North America by a team with an unparalleled passion for attention to detail, from product to experience. One that celebrates the relationship between rider and bike.

SonicMotion: Dynamic Spatial Audio Soundscapes with Latent Diffusion Models
Christian Templin, Yanda Zhu, Hao Wang
https://arxiv.org/abs/2507.07318 https:/…

SonicMotion: Dynamic Spatial Audio Soundscapes with Latent Diffusion Models
Spatial audio is an integral part of immersive entertainment, such as VR/AR, and has seen increasing popularity in cinema and music as well. The most common format of spatial audio is described as first-order Ambisonics (FOA). We seek to extend recent advancements in FOA generative AI models to enable the generation of 3D scenes with dynamic sound sources. Our proposed end-to-end model, SonicMotion, comes in two variations which vary in their user input and level of precision in sound source lo…

Tidal effects in gravitational and scalar waveforms and fluxes to one post-Newtonian order in massless scalar-tensor theories
Eve Dones, Laura Bernard
https://arxiv.org/abs/2507.07676

Tidal effects in gravitational and scalar waveforms and fluxes to one post-Newtonian order in massless scalar-tensor theories
Within scalar-tensor (ST) theories, neutron stars in binary systems experience tidal deformations caused by both their companion and the scalar field. These deformations are strongly correlated to the star's internal structure and composition. Accurately modeling their imprint on the emitted gravitational waves will be essential for interpreting the high-precision data expected from future detectors and for disentangling potential signatures of modified gravity from those arising due to the pro…

Probing microsecond dynamics of disperse nanoparticles at oil-water interfaces using nanometer localization precision total-internal-reflection dark-field microscopy
Anne Y. Schumacher
https://arxiv.org/abs/2507.06238

Probing microsecond dynamics of disperse nanoparticles at oil-water interfaces using nanometer localization precision total-internal-reflection dark-field microscopy
Particles at fluid-fluid interfaces have a wide range of important applications in industry, technology and science. Questions remain about what governs adsorption dynamics and inter-particle interactions, and how mixtures -- both of different-sized particles, and particles and surfactants -- behave. I probe the dynamics of nanoparticles at oil-water interfaces using high-speed total-internal-reflection dark-field (TIR-DF) microscopy, comparing gold particles of diameters 20, 40 and 80 nanomete…

Targeting Melanoma-Specific Tyrosinase: Cyclic Peptide Disrupts Actin Dynamics for Precision Apoptosis Induction
Ruoyang Zhao, Xiaowei Wang, Jiajia Hu, Qingqing Sun, Xinmin Zhao, Jun Guo, Feng Zhang, Min Wu
https://arxiv.org/abs/2507.06534

Targeting Melanoma-Specific Tyrosinase: Cyclic Peptide Disrupts Actin Dynamics for Precision Apoptosis Induction
Melanoma is an aggressive and highly metastatic cancer that exhibits stubborn resistance to conventional therapies, highlighting the need for novel treatments. Existing therapeutic strategies often suffer from systemic toxicity, poor efficacy and fast-gained drug resistance. In this study, we designed a cyclic peptide system (c-RGDKYQ) that takes the advantage of the overexpression of tyrosinase in melanoma cells to trigger enzyme-mediated oxidation and self-assembly. The assembled peptide nano…

Feasibility Study of CNNs and MLPs for Radiation Heat Transfer in 2-D Furnaces with Spectrally Participative Gases
Axel TahmasebiMoradi, Vincent Ren, Benjamin Le-Creurer, Chetra Mang
https://arxiv.org/abs/2506.08033

Feasibility Study of CNNs and MLPs for Radiation Heat Transfer in 2-D Furnaces with Spectrally Participative Gases
Aiming to reduce the computational cost of numerical simulations, a convolutional neural network (CNN) and a multi-layer perceptron (MLP) are introduced to build a surrogate model to approximate radiative heat transfer solutions in a 2-D walled domain with participative gases. The originality of this work lays in the adaptation of the inputs of the problem (gas and wall properties) in order to fit with the CNN architecture, more commonly used for image processing. Two precision datasets have be…

A General Class of Model-Free Dense Precision Matrix Estimators
Mehmet Caner Agostino Capponi Mihailo Stojnic
https://arxiv.org/abs/2507.04663 https://

A General Class of Model-Free Dense Precision Matrix Estimators
We introduce prototype consistent model-free, dense precision matrix estimators that have broad application in economics. Using quadratic form concentration inequalities and novel algebraic characterizations of confounding dimension reductions, we are able to: (i) obtain non-asymptotic bounds for precision matrix estimation errors and also (ii) consistency in high dimensions; (iii) uncover the existence of an intrinsic signal-to-noise -- underlying dimensions tradeoff; and (iv) avoid exact popu…

Aerial Shepherds: Enabling Hierarchical Localization in Heterogeneous MAV Swarms
Haoyang Wang, Jingao Xu, Chenyu Zhao, Yuhan Cheng, Xuecheng Chen, Chaopeng Hong, Xiao-Ping Zhang, Yunhao Liu, Xinlei Chen
https://arxiv.org/abs/2506.08408

Aerial Shepherds: Enabling Hierarchical Localization in Heterogeneous MAV Swarms
A heterogeneous micro aerial vehicles (MAV) swarm consists of resource-intensive but expensive advanced MAVs (AMAVs) and resource-limited but cost-effective basic MAVs (BMAVs), offering opportunities in diverse fields. Accurate and real-time localization is crucial for MAV swarms, but current practices lack a low-cost, high-precision, and real-time solution, especially for lightweight BMAVs. We find an opportunity to accomplish the task by transforming AMAVs into mobile localization infrastruct…

Replaced article(s) found for q-bio.NC. https://arxiv.org/list/q-bio.NC/new/
[1/1]:
Noninvasive precision modulation of high-level neural population activity via natural vision pert...

Millikelvin-precision temperature sensing for advanced cryogenic detectors
Maria Antonova, Jordi Cap\'o, Anselmo Cervera, Pablo Fern\'andez, Miguel \'A. Garc\'ia-Peris, Xavier Pons
https://arxiv.org/abs/2506.06022

Millikelvin-precision temperature sensing for advanced cryogenic detectors
Precise temperature monitoring -- to the level of a few milli-Kelvin -- is essential for the operation of large-scale cryostats requiring a recirculation system. In particular, the performance of Liquid Argon Time Projection Chambers -- such as those planned for the DUNE experiment -- strongly relies on proper argon purification and mixing, which can be characterized by a sufficiently dense grid of high-precision temperature probes. In this article, we present a novel technique for the cross-ca…

Portal for High-Precision Atomic Data and Computation
Amani Kiruga, Charles Cheung, Dmytro Filin, Parinaz Barakhshan, Akshay Bhosale, Vipul Badhan, Bindiya Arora, Rudolf Eigenmann, Marianna S. Safronova
https://arxiv.org/abs/2506.08170

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG
Rakesh Raj Madavan, Akshat Kaimal, Hashim Faisal, Chandrakala S
https://arxiv.org/abs/2508.06496

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG
An ensemble of trained multimodal encoders and vision-language models (VLMs) has become a standard approach for visual question answering (VQA) tasks. However, such models often fail to produce responses with the detailed precision necessary for complex, domain-specific applications such as medical VQA. Our representation model, BIND: BLIVA Integrated with Dense Encoding, extends prior multimodal work by refining the joint embedding space through dense, query-token-based encodings inspired by c…

"The precision of our analysis notwithstanding, the sad truth is that the future looks bleak and insurrectional, particularly for those in the USA. As these words hit the web, the SCOTUS has effectively abolished universal injunctions to presidential power, thereby kicking off the democracy overrule process we predicted exactly three years ago in this magazine–needless to say, a prediction we would have loved to get wrong."

Terahertz range polarization rotation in the candidate time-reversal symmetry breaking superconductor BiNi
Ralph Romero III, Zhenisbek Tagay, Jiahao Liang, Jason Y. Yan, Di Yue, N. P. Armitage
https://arxiv.org/abs/2508.08026

Terahertz range polarization rotation in the candidate time-reversal symmetry breaking superconductor BiNi
Here we report the observation of time-reversal symmetry (TRS) breaking superconductivity in a BiNi bilayer using terahertz (THz) polarimetry. Leveraging a novel high-precision THz polarimetry technique, we detect, in the superconducting state and at zero magnetic field, the smallest polarization rotation of THz light measured to date. By using the MgO substrate itself as an optical resonator, we can reference the Faraday and Kerr rotations to each other. We observe a low-frequency Kerr rotatio…

Dissipationless tune-out trapping for a lanthanide-alkali quantum gas mixture
Alexandre De Martino, Florian Kiesel, Jonas Auch, Kirill Karpov, Christian Gross
https://arxiv.org/abs/2506.08776

Dissipationless tune-out trapping for a lanthanide-alkali quantum gas mixture
Quantum gas mixtures offer a wide field of research, ranging from few-body physics of impurities to many-body physics with emergent long-range interactions and ultracold molecular gases. Achieving precision control of mixtures is much harder than for single-component gases and, consequently, the respective techniques are less developed. Here we report on a decisive step forward in this direction by realizing dissipationless and fully differential optical control of the motional degrees of freed…

Ever wondered how Kubernetes runs on a tractor? At Berlin Buzzwords 2025, join Wieneke Keller & Sebastian Lenartowicz from Aurea Imaging to explore their innovative AgTech journey! Discover how they built an edge device with Python microservices and K3s for precision farming, tackling unique rural challenges. 
Learn more:

Precision farming powered by K3s and TensorRT
Aurea Imaging is an AgTech scaleup focusing on precision farming in orchards. By retrofitting our TreeScout sensor package to their tractors, farmers are able to collect data about their orchard down to the tree level as they perform other tasks. Using onboard stereo cameras, the tractor’s high-precision GPS, a machine-vision pipeline running in real time on the device, and cloud-based analytics, this data is turned into maps used by other agricultural machines that enable the grower to utili…

Design of an innovative robotic surgical instrument for circular stapling
Paul Tucan (CESTER), Nadim Al Hajjar (UMF), Calin Vaida (CESTER), Alexandru Pusca (CESTER), Tiberiu Antal (CESTER), Corina Radu (UMF), Daniel Jucan (CESTER), Adrian Pisla (CESTER), Damien Chablat (LS2N, LS2N - \'equipe RoMas), Doina Pisla (CESTER)
https://

Design of an innovative robotic surgical instrument for circular stapling
Esophageal cancer remains a highly aggressive malignancy with low survival rates, requiring advanced surgical interventions like esophagectomy. Traditional manual techniques, including circular staplers, face challenges such as limited precision, prolonged recovery times, and complications like leaks and tissue misalignment. This paper presents a novel robotic circular stapler designed to enhance the dexterity in confined spaces, improve tissue alignment, and reduce post-operative risks. Integr…

Effects of lower floating-point precision on scale-resolving numerical simulations of turbulence
Martin Karp, Ronith Stanly, Timofey Mukha, Luca Galimberti, Siavash Toosi, Hang Song, Lissandro Dalcin, Saleh Rezaeiravesh, Niclas Jansson, Stefano Markidis, Matteo Parsani, Sanjeeb Bose, Sanjiva Lele, Philipp Schlatter
https://arxiv…

Effects of lower floating-point precision on scale-resolving numerical simulations of turbulence
Modern computing clusters offer specialized hardware for reduced-precision arithmetic that can speed up the time to solution significantly. This is possible due to a decrease in data movement, as well as the ability to perform arithmetic operations at a faster rate. However, for high-fidelity simulations of turbulence, such as direct and large-eddy simulation, the impact of reduced precision on the computed solution and the resulting uncertainty across flow solvers and different flow cases have…

In the Air - Outside of the Window ✈️ ☁️
在空中 - 窗外 ✈️ ☁️
📷 Nikon FE
🎞️FOMAPAN Action 400
buy me ☕️ ?/请我喝杯☕️？
#filmphotography

@… Duncan Jones just posted this woodworking video over on BlueSty. Wow, some guys sure have amazing tools in their worksheds. I feel inspired by the precision of this guy's work and methodology! https://

SPC to 3D: Novel View Synthesis from Binary SPC via I2I translation
Sumit Sharma, Gopi Raju Matta, Kaushik Mitra
https://arxiv.org/abs/2506.06890 https://

SPC to 3D: Novel View Synthesis from Binary SPC via I2I translation
Single Photon Avalanche Diodes (SPADs) represent a cutting-edge imaging technology, capable of detecting individual photons with remarkable timing precision. Building on this sensitivity, Single Photon Cameras (SPCs) enable image capture at exceptionally high speeds under both low and high illumination. Enabling 3D reconstruction and radiance field recovery from such SPC data holds significant promise. However, the binary nature of SPC images leads to severe information loss, particularly in te…

Unification of Exceptional Points and Transmission Peak Degeneracies in a Highly Tunable Magnon-Photon Dimer
Alexander S. Carney, Juan S. Salcedo-Gallo, Salil K. Bedkihal, Mattias Fitzpatrick
https://arxiv.org/abs/2506.09141

Unification of Exceptional Points and Transmission Peak Degeneracies in a Highly Tunable Magnon-Photon Dimer
Exceptional points (EPs), spectral singularities arising in non-Hermitian dynamical systems, have drawn widespread attention for their potential to enhance sensor capability by leveraging characteristic square-root frequency splitting. However, the advantages of EP sensors have remained highly contested, primarily due to their inherent hypersensitivity to model errors and loss of precision arising from eigenbasis collapse, quantified by the Petermann noise factor. Recently, it has been suggeste…

Graph Learning for Cooperative Cell-Free ISAC Systems: From Optimization to Estimation
Peng Jiang, Ming Li, Rang Liu, Qian Liu
https://arxiv.org/abs/2507.06612

Graph Learning for Cooperative Cell-Free ISAC Systems: From Optimization to Estimation
Cell-free integrated sensing and communication (ISAC) systems have emerged as a promising paradigm for sixth-generation (6G) networks, enabling simultaneous high-rate data transmission and high-precision radar sensing through cooperative distributed access points (APs). Fully exploiting these capabilities requires a unified design that bridges system-level optimization with multi-target parameter estimation. This paper proposes an end-to-end graph learning approach to close this gap, modeling t…

The VMC Survey -- LIV. Anomalous Cepheids in the Magellanic Clouds Period-Luminosity relations in the near-infrared bands
Teresa Sicignano, Vincenzo Ripepi, Marina Rejkuba, Martino Romaniello, Marcella Marconi, Roberto Molinaro, Anupam Bhardwaj, Giulia De Somma, Maria-Rosa Cioni, Felice Cusano, Gisella Clementini, Richard de Grijs, Valentin Ivanov, Jesper Storm, Martin Groenewegen

The VMC Survey -- LIV. Anomalous Cepheids in the Magellanic Clouds Period-Luminosity relations in the near-infrared bands
Anomalous Cepheids (ACs) are less studied metal-poor pulsating stars ([Fe/H]<-1.5) compared to Classical Cepheids (CCs) and RR Lyrae stars. They follow distinct Period-Luminosity (PL) and Period-Wesenheit (PW) relations and pulsate in either the fundamental (F) or first overtone (1O) mode. Our goal is to assess the precision and accuracy of AC-based distances and evaluate their potential for establishing an independent distance scale. We derive new PL and PW relations for F-mode, 1O-mode, and, …

Optimal quantum metrology under energy constraints
Longyun Chen, Yuxiang Yang
https://arxiv.org/abs/2506.09436 https://arxiv.org/pdf/…

Optimal quantum metrology under energy constraints
Quantum metrology promises enhanced precision in parameter estimation by exploiting quantum effects. The traditional framework of metrology commonly assumes unlimited access to resources, overlooking resource constraints in realistic scenarios. As such, the optimal strategies therein are often infeasible in practice. Here, we investigate quantum metrology where the total energy consumption of the probe state preparation, intermediate control operations, and the final measurement is subject to a…

Illuminating the Future: Nanophotonics for Future Green Technologies, Precision Healthcare, and Optical Computing
Osama M. Halawa, Esraa Ahmed, Malk M. Abdelrazek, Yasser M. Nagy, Omar A. M. Abdelraouf
https://arxiv.org/abs/2507.06587

Illuminating the Future: Nanophotonics for Future Green Technologies, Precision Healthcare, and Optical Computing
Nanophotonics, an interdisciplinary field merging nanotechnology and photonics, has enabled transformative advancements across diverse sectors including green energy, biomedicine, and optical computing. This review comprehensively examines recent progress in nanophotonic principles and applications, highlighting key innovations in material design, device engineering, and system integration. In renewable energy, nanophotonic allows light-trapping nanostructures and spectral control in perovskite…

This https://arxiv.org/abs/2506.05673 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Peer-Ranked Precision: Creating a Foundational Dataset for Fine-Tuning Vision Models from DataSeeds' Annotated Imagery
The development of modern Artificial Intelligence (AI) models, particularly diffusion-based models employed in computer vision and image generation tasks, is undergoing a paradigmatic shift in development methodologies. Traditionally dominated by a "Model Centric" approach, in which performance gains were primarily pursued through increasingly complex model architectures and hyperparameter optimization, the field is now recognizing a more nuanced "Data-Centric" approach. This emergent framework…

Toward Low-Altitude Airspace Management and UAV Operations: Requirements, Architecture and Enabling Technologies
Guiyang Luo, Jinglin Li, Qixun Zhang, Zhiyong Feng, Quan Yuan, Yijing Lin, Hui Zhang, Nan Cheng, Ping Zhang
https://arxiv.org/abs/2506.08579

Toward Low-Altitude Airspace Management and UAV Operations: Requirements, Architecture and Enabling Technologies
The low-altitude economy (LAE) is rapidly advancing toward intelligence, connectivity, and coordination, bringing new challenges in dynamic airspace management, unmanned aerial vehicle (UAV) operation, and security management. Existing systems remain fragmented and lack effective coordination. To bridge these gaps, we propose UTICN (Ubiquitous and Trusted Intelligent Cellular-native Network) for LAE, a unified cellular-native architecture that integrates multi-domain sensing, high-precision pos…

JWST COMPASS: A NIRSpec G395H Transmission Spectrum of the Super-Earth GJ 357 b
Jea Adams Redai, Nicholas Wogan, Nicole L. Wallack, Munazza K. Alam, Artyom Aguichine, Angie Wolfgang, Hannah R. Wakeford, Johanna Teske, Nicholas Scarsdale, Sarah E. Moran, Mercedes Lopez Morales, Annabella Meech, Peter Gao, Anna Gagnebin, Natasha E. Batalha, Natalie M. Batalha, Lili Alderson

JWST COMPASS: A NIRSpec G395H Transmission Spectrum of the Super-Earth GJ 357 b
We present JWST NIRSpec/G395H transmission spectroscopy observations of GJ 357 b, a warm ($T_{\mathrm{eq}} \approx 525$ K) super-Earth ($1.2\ \mathrm{R_{\oplus}} $, $1.84\ \mathrm{M_{\oplus}} $) orbiting a nearby M3-type star, with a median precision of 18 ppm and 27 ppm in NRS1 and NRS2, respectively. These precisions are obtained by binning the spectrum into 53 spectroscopic channels with a resolution of 60 pixels (around 0.02 $μ$m) each. Our analysis of the transmission spectrum reveals no …

This https://arxiv.org/abs/2411.18065 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAR_…

FlexiBit: Fully Flexible Precision Bit-parallel Accelerator Architecture for Arbitrary Mixed Precision AI
Recent research has shown that large language models (LLMs) can utilize low-precision floating point (FP) quantization to deliver high efficiency while maintaining original model accuracy. In particular, recent works have shown the effectiveness of non-power-of-two precisions, such as FP6 and FP5, and diverse sensitivity to low-precision arithmetic of LLM layers, which motivates mixed precision arithmetic including non-power-of-two precisions in LLMs. Although low-precision algorithmically lead…

First release of LiteBIRD simulations from an end-to-end pipeline
M. Bortolami, N. Raffuzzi, L. Pagano, G. Puglisi, A. Anand, A. J. Banday, P. Campeti, G. Galloni, A. I. Lonappan, M. Monelli, M. Tomasi, G. Weymann-Despres, D. Adak, E. Allys, J. Aumont, R. Aurvik, C. Baccigalupi, M. Ballardini, R. B. Barreiro, N. Bartolo, S. Basak, M. Bersanelli, A. Besnard, T. Brinckmann, E. Calabrese, E. Carinos, A. Carones, F. J. Casas, K. Cheung, M. Citran, L. Clermont, F. Columbro, G. Coppi, A. Cop…

First release of LiteBIRD simulations from an end-to-end pipeline
The LiteBIRD satellite mission aims at detecting Cosmic Microwave Background $B$ modes with unprecedented precision, targeting a total error on the tensor-to-scalar ratio $r$ of $δr \sim 0.001$. Operating from the L2 Lagrangian point of the Sun-Earth system, LiteBIRD will survey the full sky across 15 frequency bands (34 to 448 GHz) for 3 years.The current LiteBIRD baseline configuration employs 4508 detectors sampling at 19.1 Hz to achieve an effective polarization sensitivity of $ 2 μ\mathr…

A novel approach for classifying Monoamine Neurotransmitters by applying Machine Learning on UV plasmonic-engineered Auto Fluorescence Time Decay Series (AFTDS)
Mohammad Mohammadi, Sima Najafzadehkhoei, George Vega Yon, Yunshan Wang
https://arxiv.org/abs/2507.07227

A novel approach for classifying Monoamine Neurotransmitters by applying Machine Learning on UV plasmonic-engineered Auto Fluorescence Time Decay Series (AFTDS)
This study introduces a hybrid approach integrating advanced plasmonic nanomaterials and machine learning (ML) for high-precision biomolecule detection. We leverage aluminum concave nanocubes (AlCNCs) as an innovative plasmonic substrate to enhance the native fluorescence of neurotransmitters, including dopamine (DA), norepinephrine (NE), and 3,4-Dihydroxyphenylacetic acid (DOPAC). AlCNCs amplify weak fluorescence signals, enabling probe-free, label-free detection and differentiation of these m…

Reliable Evaluation Protocol for Low-Precision Retrieval
Kisu Yang, Yoonna Jang, Hwanseok Jang, Kenneth Choi, Isabelle Augenstein, Heuiseok Lim
https://arxiv.org/abs/2508.03306 …

Reliable Evaluation Protocol for Low-Precision Retrieval
Lowering the numerical precision of model parameters and computations is widely adopted to improve the efficiency of retrieval systems. However, when computing relevance scores between the query and documents in low-precision, we observe spurious ties due to the reduced granularity. This introduces high variability in the results based on tie resolution, making the evaluation less reliable. To address this, we propose a more robust retrieval evaluation protocol designed to reduce score variatio…

Amplitude Walk in Fast Timing: The Role of Dual Thresholds
Sebastian White, Alessio Boletti
https://arxiv.org/abs/2507.07127 https://…

Amplitude Walk in Fast Timing: The Role of Dual Thresholds
In preparation for HL-LHC operation, a number of new detector systems are being constructed with timing precision on physics objects of $\leq50$ picoseconds. These time stamps will reduce the level of pileup induced backgrounds as the number of interactions per crossing will reach of order 100-200. In this report we note that this high pileup level will necessitate a new approach to calibration of these large timing arrays (typically with several $\times10^5$ channels) since a single t$_{0}$ …

Event generation at MEPS@NLO accuracy in neutral and charged current DIS at the EIC
Peter Meinzinger, Daniel Reichelt, Federico Silvetti
https://arxiv.org/abs/2506.08994

Event generation at MEPS@NLO accuracy in neutral and charged current DIS at the EIC
We present the first hadron-level predictions at MEPS@NLO precision for both neutral and charged current DIS at the EIC and the first application of the MEPS@NLO technique to charged current DIS in general. We critically examine state-of-the-art inclusive predictions using multi-leg merging techniques, contrasting perturbative and non-perturbative uncertainties. We study typical kinematic DIS observables as well as jet measurements and 1-jettiness with realistic cuts implied by expected and pas…

SQUID G.A.M.E.: Gamma, Atmospheric, and Mono-Energetic Neutron Effects on Quantum Devices
Gioele Casagranda, Elizabeth Auden, Carlo Cazzaniga, Maria Kastriotou, Christopher Frost, Marzio Vallero, Flavio Vella, Paolo Rech
https://arxiv.org/abs/2508.06362

SQUID G.A.M.E.: Gamma, Atmospheric, and Mono-Energetic Neutron Effects on Quantum Devices
Quantum devices are a promising solution to many research applications, including medical imaging, precision magnetic field measurements, condensed matter physics, and overcoming the limits of classical computing. Among the available implementations, the superconducting technology is the current focus of scientific research and industrial applications, excelling in performance and scalability. Despite this, superconducting quantum systems are extremely prone to decoherence, and in particular, t…

ALICE highlights
Xiaozhi Bai
https://arxiv.org/abs/2506.09430 https://arxiv.org/pdf/2506.09430

ALICE highlights
The recent ALICE results on hard probes, focusing on open heavy flavor, quarkonia, and jet measurements in pp and Pb--Pb collisions are presented. During the LHC Run 3, the continuous readout of the upgraded Time Projection Chamber (TPC) with GEM technology, along with improved tracking from ITS2 and the newly installed Muon Forward Tracker (MFT), have enabled high-precision studies of quarkonia and heavy flavour production, and jet modification in the quark-gluon plasma (QGP). These new measur…

Noninvasive precision modulation of high-level neural population activity via natural vision perturbations
Guy Gaziv, Sarah Goulding, Ani Ayvazian-Hancock, Yoon Bai, James J. DiCarlo
https://arxiv.org/abs/2506.05633

Noninvasive precision modulation of high-level neural population activity via natural vision perturbations
Precise control of neural activity -- modulating target neurons deep in the brain while leaving nearby neurons unaffected -- is an outstanding challenge in neuroscience, generally achieved through invasive techniques. This study investigates the possibility of precisely and noninvasively modulating neural activity in the high-level primate ventral visual stream via perturbations on one's natural visual feed. When tested on macaque inferior temporal (IT) neural populations, we found quantitative…

High-Performance and Power-Efficient Emulation of Matrix Multiplication using INT8 Matrix Engines
Yuki Uchino, Katsuhisa Ozaki, Toshiyuki Imamura
https://arxiv.org/abs/2508.03984

High-Performance and Power-Efficient Emulation of Matrix Multiplication using INT8 Matrix Engines
Recent architectures integrate high-performance and power-efficient matrix engines. These engines demonstrate remarkable performance in low-precision matrix multiplication, which is crucial in deep learning. Several techniques have been proposed to emulate single- and double-precision general matrix-matrix multiplication (SGEMM and DGEMM, respectively) by leveraging such low-precision matrix engines. In this study, we present emulation methods that significantly outperforms conventional approac…

The ILD Detector: A Versatile Detector for an Electron-Positron Collider at Energies up to 1 TeV
H. Abramowicz, D. Ahmadi, J. Alcaraz, O. Alonso, L. Andricek, J. Anguiano, O. Arquero, F. Arteche, D. Attie, O. Bach, M. Basso, J. Baudot, A. Bean, T. Behnke, A. Bellerive, Y. Benhammou, M. Berggren, G. Bertolone, M. Besancon, A. Besson, O. Bezshyyko, G. Blazey, B. Bliewert, J. Bonis, R. Bosley, V. Boudry, C. Bourgeois, I. Bozovic Jelisavcic, D. Breton, J. -C. Brient, B. Brudnowski, V. Bues…

The ILD Detector: A Versatile Detector for an Electron-Positron Collider at Energies up to 1 TeV
The International Large Detector, ILD, is a detector concept for an experiment at a future high energy lepton collider. The detector has been optimised for precision physics in a range of energies from 90~GeV to about 1~TeV. ILD features a high precision, large volume combined silicon and gaseous tracking system, together with a high granularity calorimeter, all inside a central solenoidal magnetic field. The paradigm of particle flow has been the guiding principle of the design of ILD. ILD is …

This https://arxiv.org/abs/2409.08335 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Mixed precision iterative refinement for linear inverse problems
This study investigates the iterative refinement method applied to the solution of linear discrete inverse problems by considering its application to the Tikhonov problem in mixed precision. Previous works on mixed precision iterative refinement methods for the solution of symmetric positive definite linear systems and least-squares problems have shown regularization to be a key requirement when computing low precision factorizations. For problems that are naturally severely ill-posed, we formu…

Reconstruction of cosmic-ray properties with GNN in GRAND
Ars\`ene Ferri\`ere (for the GRAND Collaboration), Aur\'elien Benoit-L\'evy (for the GRAND Collaboration)
https://arxiv.org/abs/2507.07541

Reconstruction of cosmic-ray properties with GNN in GRAND
The Giant Radio Array for Neutrino Detection (GRAND) aims to detect and study ultra-high-energy (UHE) neutrinos by observing the radio emissions produced in extensive air showers. The GRANDProto300 prototype primarily focuses on UHE cosmic rays to demonstrate the autonomous detection and reconstruction techniques that will later be applied to neutrino detection. In this work, we propose a method for reconstructing the arrival direction and energy with high precision using state-of-the-art machi…

Modular Quantum Amplitude Estimation: A Scalable and Adaptive Framework
Alok Shukla, Prakash Vedula
https://arxiv.org/abs/2508.05805 https://arxiv.org/pdf/…

Modular Quantum Amplitude Estimation: A Scalable and Adaptive Framework
Quantum Amplitude Estimation (QAE) is a key primitive in quantum computing, but its standard implementation using Quantum Phase Estimation is resource-intensive, requiring a large number of coherent qubits in a single circuit block to achieve high precision. This presents a significant challenge for near-term Noisy Intermediate-Scale Quantum (NISQ) devices. To address this, we introduce the Adaptive Windowed Quantum Amplitude Estimation (AWQAE) framework, a modular, scalable and adaptive approa…

This https://arxiv.org/abs/2506.06155 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

A Novel Large-scale Crop Dataset and Dual-stream Transformer Method for Fine-grained Hierarchical Crop Classification from Integrated Hyperspectral EnMAP Data and Multispectral Sentinel-2 Time Series
Fine-grained crop classification is crucial for precision agriculture and food security monitoring. It requires simultaneous capture of both phenological dynamics (obtained from multi-temporal satellite data like Sentinel-2) and subtle spectral variations (demanding nanometer-scale spectral resolution from hyperspectral imagery). Research combining these two modalities remains scarce currently due to challenges in hyperspectral data acquisition and crop types annotation costs. To address these …

Fabry-Perot-Insensitive Edge Coupling for Robust PIC Characterization
Sammy Noel Parise, Raphael Dube-Demers, David Turgeon, Alireza Geravand, Sophie LaRochelle, Wei Shi
https://arxiv.org/abs/2506.08155

Fabry-Perot-Insensitive Edge Coupling for Robust PIC Characterization
In this work, we investigate the impact of Fabry-Perot (FP) cavities formed between a fiber array and a silicon chip during edge-coupled testing of photonic integrated circuits (PICs). Our results show that subwavelength variations in the distance between the fiber array and the device under test induce coupling efficiency modulations of several tenths of a decibel - challenging current alignment precision and undermining measurement repeatability in wafer-level probing. To address these FP-ind…

Model Checking as Program Verification by Abstract Interpretation (Extended Version)
Paolo Baldan, Roberto Bruni, Francesco Ranzato, Diletta Rigo
https://arxiv.org/abs/2506.05525 …

Model Checking as Program Verification by Abstract Interpretation (Extended Version)
Abstract interpretation offers a powerful toolset for static analysis, tackling precision, complexity and state-explosion issues. In the literature, state partitioning abstractions based on (bi)simulation and property-preserving state relations have been successfully applied to abstract model checking. Here, we pursue a different track in which model checking is seen as an instance of program verification. To this purpose, we introduce a suitable language-called MOKA (for MOdel checking as abst…

🧲 Ultra-high-resolution MRI maps brain fibers and cells with near-micron precision
#brain

Ultra-high-resolution MRI maps brain fibers and cells with near-micron precision
A scientific team supported in part by the National Institutes of Health (NIH) has developed a new, ultra-high-resolution brain imaging system that can reconstruct microscopic brain structures that are disrupted in neurological and neuropsychiatric brain disorders. The new system is a significant advance over conventional magnetic resonance imaging (MRI) scanners that cannot visualize these tiny but clinically important structures.

QCD-inspired description of multiplicity distributions in jets
Yu. L. Dokshitzer, B. R. Webber
https://arxiv.org/abs/2507.07691 https://

QCD-inspired description of multiplicity distributions in jets
We suggest a universal QCD-motivated expression for the Polyakov-KNO multiplicity distributions of hadrons in jets and compare it with data from $e^+e^-$ annihilation experiments. The moments and overall shape of the distributions in full events and quark and gluon jets, over a range of energies, are described with reasonable quantitative precision. In particular, the scaling violation predicted by QCD is seen clearly in the moments and high-multiplicity fluctuations.

Reducing quantum resources for observable estimation with window-assisted coherent QPE
Harriet Apel, Cristian L. Cortes, Jessica Lemieux, Mark Steudtner
https://arxiv.org/abs/2508.06677

Reducing quantum resources for observable estimation with window-assisted coherent QPE
Quantum Phase Estimation (QPE) routines are known to fail probabilistically even with perfect gates and input states. This effect stems from an incompatibility of finite-sized quantum registers to capture a phase within QPE with phase angles of infinite precision, and the effect extend even beyond what would be reasonably expected from rounding. This effect can be partially mitigated by biasing the phase register with a window, or taper state, from classical signal processing. This paper focuse…

RAPTOR: Practical Numerical Profiling of Scientific Applications
Faveo Hoerold, Ivan R. Ivanov, Akash Dhruv, William S. Moses, Anshu Dubey, Mohamed Wahib, Jens Domke
https://arxiv.org/abs/2507.04647

RAPTOR: Practical Numerical Profiling of Scientific Applications
The proliferation of low-precision units in modern high-performance architectures increasingly burdens domain scientists. Historically, the choice in HPC was easy: can we get away with 32 bit floating-point operations and lower bandwidth requirements, or is FP64 necessary? Driven by Artificial Intelligence, vendors introduced novel low-precision units for vector and tensor operations, and FP64 capabilities stagnate or are reduced. This is forcing scientists to re-evaluate their codes, but a tri…

Optimizing RAG Pipelines for Arabic: A Systematic Analysis of Core Components
Jumana Alsubhi, Mohammad D. Alahmadi, Ahmed Alhusayni, Ibrahim Aldailami, Israa Hamdine, Ahmad Shabana, Yazeed Iskandar, Suhayb Khayyat
https://arxiv.org/abs/2506.06339

Optimizing RAG Pipelines for Arabic: A Systematic Analysis of Core Components
Retrieval-Augmented Generation (RAG) has emerged as a powerful architecture for combining the precision of retrieval systems with the fluency of large language models. While several studies have investigated RAG pipelines for high-resource languages, the optimization of RAG components for Arabic remains underexplored. This study presents a comprehensive empirical evaluation of state-of-the-art RAG components-including chunking strategies, embedding models, rerankers, and language models-across …

Real-time adaptive tracking of fluctuating relaxation rates in superconducting qubits
Fabrizio Berritta, Jacob Benestad, Jan A. Krzywda, Oswin Krause, Malthe A. Marciniak, Svend Kr{\o}jer, Christopher W. Warren, Emil Hogedal, Andreas Nylander, Irshad Ahmad, Amr Osman, Janka Bizn\'arov\'a, Marcus Rommel, Anita Fadavi Roudsari, Jonas Bylander, Giovanna Tancredi, Jeroen Danon, Jacob Hastrup, Ferdinand Kuemmeth, Morten Kjaergaard

Real-time adaptive tracking of fluctuating relaxation rates in superconducting qubits
The fidelity of operations on a solid-state quantum processor is ultimately bounded by decoherence effects induced by a fluctuating environment. Characterizing environmental fluctuations is challenging because the acquisition time of experimental protocols limits the precision with which the environment can be measured and may obscure the detailed structure of these fluctuations. Here we present a real-time Bayesian method for estimating the relaxation rate of a qubit, leveraging a classical co…

Higher-Order Harmonics Reduction in Reset-Based Control Systems: Application to Precision Positioning Systems
S. Ali Hosseini, Nima Karbasizadeh, S. Hassan HosseiniNia
https://arxiv.org/abs/2507.04707

Higher-Order Harmonics Reduction in Reset-Based Control Systems: Application to Precision Positioning Systems
To address the limitations imposed by Bode's gain-phase relationship in linear controllers, a reset-based filter called the Constant in gain- Lead in phase (CgLp) filter has been introduced. This filter consists of a reset element and a linear lead filter. However, the sequencing of these two components has been a topic of debate. Positioning the lead filter before the reset element in the loop leads to noise amplification in the reset signal, whereas placing the lead filter after the reset ele…

Unicorn-CIM: Unconvering the Vulnerability and Improving the Resilience of High-Precision Compute-in-Memory
Qiufeng Li, Yiwen Liang, Weidong Cao
https://arxiv.org/abs/2506.02311

Unicorn-CIM: Unconvering the Vulnerability and Improving the Resilience of High-Precision Compute-in-Memory
Compute-in-memory (CIM) architecture has been widely explored to address the von Neumann bottleneck in accelerating deep neural networks (DNNs). However, its reliability remains largely understudied, particularly in the emerging domain of floating-point (FP) CIM, which is crucial for speeding up high-precision inference and on device training. This paper introduces Unicorn-CIM, a framework to uncover the vulnerability and improve the resilience of high-precision CIM, built on static r…

This https://arxiv.org/abs/2501.03742 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Computing accurate eigenvalues using a mixed-precision Jacobi algorithm
We provide a rounding error analysis of a mixed-precision preconditioned Jacobi algorithm, which uses low precision to compute the preconditioner, applies it at high precision (amounting to two matrix-matrix multiplications) and solves the eigenproblem using the Jacobi algorithm at working precision. Our analysis yields meaningfully smaller relative forward error bounds for the computed eigenvalues compared with those of the Jacobi algorithm. We further prove that, after preconditioning, if the…

The Fourier Spectral Transformer Networks For Efficient and Generalizable Nonlinear PDEs Prediction
Beibei Li
https://arxiv.org/abs/2507.05584 https://

The Fourier Spectral Transformer Networks For Efficient and Generalizable Nonlinear PDEs Prediction
In this work we propose a unified Fourier Spectral Transformer network that integrates the strengths of classical spectral methods and attention based neural architectures. By transforming the original PDEs into spectral ordinary differential equations, we use high precision numerical solvers to generate training data and use a Transformer network to model the evolution of the spectral coefficients. We demonstrate the effectiveness of our approach on the two dimensional incompressible Navier-St…

Near-Heisenberg-limited parallel amplitude estimation with logarithmic depth circuit
Kohei Oshio, Kaito Wada, Naoki Yamamoto
https://arxiv.org/abs/2508.06121 https://

Near-Heisenberg-limited parallel amplitude estimation with logarithmic depth circuit
Quantum amplitude estimation is one of the core subroutines in quantum algorithms. This paper gives a parallelized amplitude estimation (PAE) algorithm, that simultaneously achieves near-Heisenberg scaling in the total number of queries and sub-linear scaling in the circuit depth, with respect to the estimation precision. The algorithm is composed of a global GHZ state followed by separated low-depth Grover circuits; the number of qubits in the GHZ state and the depth of each circuit is tunable…

Optimal Quantum Estimation with Stabilizer-Based Local Measurements
Jia-Xuan Liu, Hai-Long Shi, Chunfeng Wu, Sixia Yu
https://arxiv.org/abs/2508.07150 https://

Optimal Quantum Estimation with Stabilizer-Based Local Measurements
A central challenge in quantum metrology is to identify optimal protocols under measurement constraints that reflect realistic experimental conditions, e.g., local measurements in multipartite scenarios. Here, we present a sufficient criterion for metrological schemes to saturate the quantum Cramér-Rao bound (QCRB) using local measurements, based on stabilizer formalism. In ideal settings, we show that graph states always admit local estimation protocols with an optimal estimation precision de…

This https://arxiv.org/abs/2504.14014 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepp…

Hunting for a 17 MeV particle coupled to electrons
We discuss a set of precision observables that can probe the existence of a light particle $X$ coupled to electrons in the mass range of 1--100 MeV. As a case study, we consider the recent excess of $e^+e^-$ final-state events at $\sqrt{s} = 16.9$ MeV reported by the PADME collaboration. Interestingly, this mass is tantalizingly close to the invariant mass at which anomalous $e^+e^-$ pair production has previously been observed in nuclear transitions from excited to ground states by the ATOMKI …

A realistic photon spectra in polarized {\gamma}{\gamma} processes in SANCphot
Sergey G. Bondarenko, Aidos Issadykov, Lidia V. Kalinovskaya, Andrey A. Sapronov
https://arxiv.org/abs/2507.06791

A realistic photon spectra in polarized γγ processes in SANCphot
This work presents an approach to improve the precision of polarized photon-photon collisions simulation implemented in the SANCphot package. The basic linear Compton approximation of the incoming photon spectrum is extended to a general energy distribution and a realistic description of circular or linear polarizations as expected to be seen at photon-photon colliders.

This https://arxiv.org/abs/2205.04155 has been replaced.
link: https://scholar.google.com/scholar?q=a

Robust, fast and high-fidelity composite single-qubit gates for superconducting transmon qubits
We introduce a novel quantum control method for superconducting transmon qubits that substantially outperforms conventional techniques in precision and robustness against coherent errors. Our approach leverages composite pulses (CP) to effectively mitigate system-specific errors, such as qubit frequency and anharmonicity variations. By utilizing CP, we demonstrate both complete and partial population transfers between qubit states, as well as the implementation of two essential single-qubit qua…

This https://arxiv.org/abs/2408.15323 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Review: Quantum Metrology and Sensing with Many-Body Systems
The main power of quantum sensors is achieved when the probe is composed of several particles. In this situation, quantum features such as entanglement contribute to enhancing the precision of quantum sensors beyond the capacity of classical sensors. Originally, quantum sensing was formulated for non-interacting particles that are prepared in a special form of maximally entangled states. These probes are extremely sensitive to decoherence, and any interaction between particles is detrimental to…

Clock Synchronization for Drone-Based Entanglement Quantum Key Distribution
Jinquan Huang, Bangying Tang, Hui Han, JianJi Yi, Bo Xu, Chunqing Wu, Xiangwei Zhu, Wanrong Yu, Huicun Yu, Jiahao Li, Shihai Sun, Bo Liu
https://arxiv.org/abs/2506.07831

Clock Synchronization for Drone-Based Entanglement Quantum Key Distribution
Drone-based entanglement distribution provides full spatiotemporal coverage for quantum networks, enabling quantum key distribution (QKD) in dynamic environments. The security of QKD fundamentally depends on high-fidelity quantum state measurements, for which high-precision clock synchronization is indispensable, as timing jitter is inversely correlated with quantum state fidelity. However, drone-based clock synchronization is constrained by SWaP (Size, Weight, and Power) limitations and dynami…

Efficient Algorithms for Quantum Hashing
Ilnar Zinnatullin, Kamil Khadiev
https://arxiv.org/abs/2507.07002 https://arxiv.org/pdf/2507…

Efficient Algorithms for Quantum Hashing
Quantum hashing is a useful technique that allows us to construct memory-efficient algorithms and secure quantum protocols. First, we present a circuit that implements the phase form of quantum hashing using $2^{n-1}$ CNOT gates, where n is the number of control qubits. Our method outperforms existing approaches and reduces the circuit depth. Second, we propose an algorithm that provides a trade-off between the number of CNOT gates (and consequently, the circuit depth) and the precision of rota…

Metric formalism for precision assessment in non-Hermitian systems
Javid Naikoo, Ravindra W. Chhajlany, Jan Ko{\l}ody\'nski, Adam Miranowicz
https://arxiv.org/abs/2506.22571

Metric formalism for precision assessment in non-Hermitian systems
Enhancing measurement precision in quantum systems is vital for advancing technologies like quantum sensing and communication. Traditionally, quantum Fisher information (QFI) has been the key tool in determining precision limits within Hermitian quantum systems. However, recent research has expanded to non-Hermitian systems exhibiting real spectra. This study investigates various interpretations of non-Hermitian quantum dynamics such as the normalization and metric approaches. We demonstrate th…