Tootfinder

This shared memory pool feature is neat in #dotnet 10 preview 6.
https://github.com/dotnet/core/blob/main/release-no…

core/release-notes/10.0/preview/preview6/aspnetcore.md at main · dotnet/core
.NET news, announcements, release notes, and more! - dotnet/core

The next batch of emoji includes Bigfoot | The Verge
https://www.theverge.com/news/709179/emoji-17-0-bigfoot-apple-core-orca-treasure-chest-trombone-dancer

MRI-CORE: A Foundation Model for Magnetic Resonance Imaging
Haoyu Dong, Yuwen Chen, Hanxue Gu, Nicholas Konz, Yaqian Chen, Qihang Li, Maciej A. Mazurowski
https://arxiv.org/abs/2506.12186

MRI-CORE: A Foundation Model for Magnetic Resonance Imaging
The widespread use of Magnetic Resonance Imaging (MRI) and the rise of deep learning have enabled the development of powerful predictive models for a wide range of diagnostic tasks in MRI, such as image classification or object segmentation. However, training models for specific new tasks often requires large amounts of labeled data, which is difficult to obtain due to high annotation costs and data privacy concerns. To circumvent this issue, we introduce MRI-CORE (MRI COmprehensive Representat…

Basically the core argument of my last article
https://merveilles.town/@lrhodes/114869651115717099

Elk: Exploring the Efficiency of Inter-core Connected AI Chips with Deep Learning Compiler Techniques
Yiqi Liu, Yuqi Xue, Noelle Crawford, Jilong Xue, Jian Huang
https://arxiv.org/abs/2507.11506

Elk: Exploring the Efficiency of Inter-core Connected AI Chips with Deep Learning Compiler Techniques
To meet the increasing demand of deep learning (DL) models, AI chips are employing both off-chip memory (e.g., HBM) and high-bandwidth low-latency interconnect for direct inter-core data exchange. However, it is not easy to explore the efficiency of these inter-core connected AI (ICCA) chips, due to a fundamental tussle among compute (per-core execution), communication (inter-core data exchange), and I/O (off-chip data access). In this paper, we develop Elk, a DL compiler framework to maximiz…

AMD unveils the Zen 5-based Ryzen Threadripper Pro 9000 WX-Series CPUs, including the flagship $11,699 Threadripper Pro 9995WX with 96 cores, set for July 23 (Tom Warren/The Verge)
https://www.theverge.com/news/709005/amd-threadripper-9000-pro-wx…

AMD’s new 96-core Threadripper CPU will set you back $11,699
AMD is launching its new Threadripper Pro 9000 WX-series on July 23rd. The flagship processor will be priced at $11,699.

On the core and adjoint of the product of complete ideals in two-dimensional regular local rings
Clare D'Cruz, Saipriya Dubey, Jugal K. Verma
https://arxiv.org/abs/2506.14228 …

On the core and adjoint of the product of complete ideals in two-dimensional regular local rings
Using joint reductions of complete ideals, we find expressions for the core and adjoints of the product of complete ideals in a two-dimensional regular local ring. We also compute their colengths. Our results strengthen a generalization of the Briançon-Skoda theorem due to D. Rees and J. D. Sally.

So far the Social Security agency’s core functions — like sending monthly checks to 74 million Americans — have remained largely intact.
But under pressure from Musk’s team, nearly half of the Social Security Administration’s 140 senior executives, and thousands of employees overall, have taken buyouts or retired.
As many as 12 percent of staff members, out of a bureaucracy that numbered around 57,000 people, are expected to depart their jobs as part of DOGE’s cost-cutting plan.

Inside DOGE’s Chaotic Takeover of Social Security
The drama offers a case study in how Elon Musk’s team sought to run a critical government agency through misinformation and social media blasts — and how longtime employees responded.

My partner asked for a last minute sign today. 3D printing to the rescue!
Made a sign for today… 3D printed letters, foam core, spray paint… then added a 3D printed handle.
#noKings #resist #resistFascism

InfoWorld contributor Joydip Kanjilal reviews a group of read-only data structures in .NET Core that are optimized to allow very fast thread-safe reads over their data in comparison to plain dictionaries, lists, and hash sets.
Namely: FrozenSet and FrozenDictionary.
He also shows benchmark results, and includes a tutorial written in C#.
"How to use frozen collections in C#"

The efficiency of mixed modes for angular momentum transport
Beatriz Bordad\'agua, Felix Ahlborn, Quentin Copp\'ee, Jo\~ao P. Marques, K\'evin Belkacem, Saskia Hekker
https://arxiv.org/abs/2506.13283

The efficiency of mixed modes for angular momentum transport
Core rotation rates of red-giant stars inferred from asteroseismic observations are substantially lower than predicted by current stellar models. This indicates the lack of an efficient angular momentum transport mechanism in radiative interiors. Mixed pressure-gravity modes are a promising candidate to extract angular momentum from the core of red giants. We focus on determining the effect of mixed modes on the rotation rates of stars evolving along the red giant branch (RGB). We developed a p…

Geometric Optimization and IPA-Induced Dispersion Tuning in Solid-Core Photonic Crystal Fibers
Zekeriya Mehmet Yuksel, Hasan Oguz, Ozgur Onder Karakilinc, Halil Berberoglu, Mirbek Turduev, Muzaffer Adak, Sevgi Ozdemir Kart
https://arxiv.org/abs/2507.10815

Geometric Optimization and IPA-Induced Dispersion Tuning in Solid-Core Photonic Crystal Fibers
This study presents a numerical investigation of solid-core photonic crystal fibers with circular and hexagonal cladding geometries. The goal is to optimize optical parameters for nonlinear photonics and environmental sensing. Full-vectorial simulations using FDTD, PWE, and FDE are used to analyze the effects of core diameter, pitch, and air filling fraction on the zero-dispersion wavelength, nonlinear coefficient, effective mode area, and confinement loss. Reducing the core diameter from 2.4 t…

If there’s one thing I keep coming back to, it’s this: I truly believe work could be so much more rewarding if we collectively tore down the rigid hierarchies and completely did away with bosses. In their place, we’d practice genuine worker self-management. Every decision that shapes our daily lives would be made directly by us, the workers on the shop floor.
With direct democracy at the core, and our union standing not just beside us but as a true expression of our collective will, th…

May 2025 recap | The latest edition of the GÉANT School of Software Engineering, hosted by PCSS, brought together developers and experts from across Europe to explore generative #AI tools, risks, secure coding practices.
Highlights:
🔹#GenAI Buzz-Free Programming with LLMs – training by Maciej Łabędzki…

Responsible AI in Practice: Shaping a Safer Future for AI-Powered Software Development | GÉANT CONNECT Online
Poznań, 20–22 May 2025 — The latest edition of the GÉANT School of Software Engineering, held at the Poznań Supercomputing and Networking Center (PSNC), brought together top-tier developers and experts from across Europe for a deep-dive into generative AI tools, risks, and secure coding practices. At the core of the event was the acclaimed training

Magnetic fields in the intracluster medium with TNG-Cluster: properties, morphology, and tangential anisotropy
Katrin Lehle, Mateusz Ruszkowski, Dylan Nelson, Marine Prunier, Annalisa Pillepich
https://arxiv.org/abs/2507.12517

Magnetic fields in the intracluster medium with TNG-Cluster: properties, morphology, and tangential anisotropy
We characterize the magnetic field properties of 352 massive galaxy clusters from the TNG-Cluster magnetohydrodynamical cosmological simulation with a focus on central magnetic field morphology in cool-core (CC) vs non-cool-core (NCC) clusters. We present the central values and radial profiles of magnetic field strength and plasma parameter as a function of mass, cooling status and redshift. Compared to low-redshift observations, TNG-Cluster produces reasonable magnetic field amplitudes in the …

AviationLLM: An LLM-based Knowledge System for Aviation Training
Jia'ang Wan, Feng Shen, Fujuan Li, Yanjin Sun, Yan Li, Shiwen Zhang
https://arxiv.org/abs/2506.14336

AviationLLM: An LLM-based Knowledge System for Aviation Training
Aviation training is a core link in ensuring flight safety, improving industry efficiency and promoting sustainable development. It not only involves flight simulation but also requires the learning of a great deal of professional aviation theory knowledge. In the existing training system, the knowledge is mainly imparted by the the instructors. However, the number of instructors is limited and the professional answers obtained from the Internet are not accurate enough, resulting in low trainin…

Compositional fluctuations and polymorph selection in crystallization of model soft colloids
Abhilasha Kumari, Gadha Ramesh, Debasish Koner, Rakesh S. Singh, Mantu Santra
https://arxiv.org/abs/2506.14109

Compositional fluctuations and polymorph selection in crystallization of model soft colloids
Understanding polymorph selection in atomic and molecular systems and its control through thermodynamic conditions and external factors (such as seed characteristics) is fundamental to the design of targeted materials and holds great significance in materials sciences. In this work, using Monte Carlo simulations on the Gaussian Core Model and Hard-Core Yukawa colloidal systems, we investigated the control of polymorph selection and explored the underlying mechanisms by tuning thermodynamic para…

EgoPrivacy: What Your First-Person Camera Says About You?
Yijiang Li, Genpei Zhang, Jiacheng Cheng, Yi Li, Xiaojun Shan, Dashan Gao, Jiancheng Lyu, Yuan Li, Ning Bi, Nuno Vasconcelos
https://arxiv.org/abs/2506.12258

EgoPrivacy: What Your First-Person Camera Says About You?
While the rapid proliferation of wearable cameras has raised significant concerns about egocentric video privacy, prior work has largely overlooked the unique privacy threats posed to the camera wearer. This work investigates the core question: How much privacy information about the camera wearer can be inferred from their first-person view videos? We introduce EgoPrivacy, the first large-scale benchmark for the comprehensive evaluation of privacy risks in egocentric vision. EgoPrivacy covers t…

The Imitation Game: Turing Machine Imitator is Length Generalizable Reasoner
Zhouqi Hua, Wenwei Zhang, Chengqi Lyu, Yuzhe Gu, Songyang Gao, Kuikun Liu, Kai Chen
https://arxiv.org/abs/2507.13332

The Imitation Game: Turing Machine Imitator is Length Generalizable Reasoner
Length generalization, the ability to solve problems of longer sequences than those observed during training, poses a core challenge of Transformer-based large language models (LLM). Although existing studies have predominantly focused on data-driven approaches for arithmetic operations and symbolic manipulation tasks, these approaches tend to be task-specific with limited overall performance. To pursue a more general solution, this paper focuses on a broader case of reasoning problems that are…

Thought Purity: Defense Paradigm For Chain-of-Thought Attack
Zihao Xue, Zhen Bi, Long Ma, Zhenlin Hu, Yan Wang, Zhenfang Liu, Qing Sheng, Jie Xiao, Jungang Lou
https://arxiv.org/abs/2507.12314

Thought Purity: Defense Paradigm For Chain-of-Thought Attack
While reinforcement learning-trained Large Reasoning Models (LRMs, e.g., Deepseek-R1) demonstrate advanced reasoning capabilities in the evolving Large Language Models (LLMs) domain, their susceptibility to security threats remains a critical vulnerability. This weakness is particularly evident in Chain-of-Thought (CoT) generation processes, where adversarial methods like backdoor prompt attacks can systematically subvert the model's core reasoning mechanisms. The emerging Chain-of-Thought Atta…

Humanity's Last Code Exam: Can Advanced LLMs Conquer Human's Hardest Code Competition?
Xiangyang Li, Xiaopeng Li, Kuicai Dong, Quanhu Zhang, Rongju Ruan, Xinyi Dai, Xiaoshuang Liu, Shengchun Xu, Yasheng Wang, Ruiming Tang
https://arxiv.org/abs/2506.12713

Humanity's Last Code Exam: Can Advanced LLMs Conquer Human's Hardest Code Competition?
Code generation is a core capability of large language models (LLMs), yet mainstream benchmarks (e.g., APPs and LiveCodeBench) contain questions with medium-level difficulty and pose no challenge to advanced LLMs. To better reflected the advanced reasoning and code generation ability, We introduce Humanity's Last Code Exam (HLCE), comprising 235 most challenging problems from the International Collegiate Programming Contest (ICPC World Finals) and the International Olympiad in Informatics (IOI)…

General and Estimable Learning Bound Unifying Covariate and Concept Shifts
Hongbo Chen, Li Charlie Xia
https://arxiv.org/abs/2506.12829 https://

General and Estimable Learning Bound Unifying Covariate and Concept Shifts
Generalization under distribution shift remains a core challenge in modern machine learning, yet existing learning bound theory is limited to narrow, idealized settings and is non-estimable from samples. In this paper, we bridge the gap between theory and practical applications. We first show that existing bounds become loose and non-estimable because their concept shift definition breaks when the source and target supports mismatch. Leveraging entropic optimal transport, we propose new support…

Inference of Hierarchical Core-Periphery Structure in Temporal Network
Theodore Y. Faust, Mason A. Porter
https://arxiv.org/abs/2506.10135 https://

Inference of Hierarchical Core-Periphery Structure in Temporal Network
Networks can have various types of mesoscale structures. One type of mesoscale structure in networks is core-periphery structure, which consists of densely-connected core nodes and sparsely-connected peripheral nodes. The core nodes are connected densely to each other and can be connected to the peripheral nodes, which are connected sparsely to other nodes. There has been much research on core-periphery structure in time-independent networks, but few core-periphery detection methods have been d…

Hamiltonian Formalism for Comparing Quantum and Classical Intelligence
Elija Perrier
https://arxiv.org/abs/2506.14456 https://arxiv.o…

Hamiltonian Formalism for Comparing Quantum and Classical Intelligence
The prospect of AGI instantiated on quantum substrates motivates the development of mathematical frameworks that enable direct comparison of their operation in classical and quantum environments. To this end, we introduce a Hamiltonian formalism for describing classical and quantum AGI tasks as a means of contrasting their interaction with the environment. We propose a decomposition of AGI dynamics into Hamiltonian generators for core functions such as induction, reasoning, recursion, learning,…

Pose State Perception of Interventional Robot for Cardio-cerebrovascular Procedures
Shunhan Ji, Yanxi Chen, Zhongyu Yang, Quan Zhang, Xiaohang Nie, Jingqian Sun, Yichao Tang
https://arxiv.org/abs/2506.14201

Pose State Perception of Interventional Robot for Cardio-cerebrovascular Procedures
In response to the increasing demand for cardiocerebrovascular interventional surgeries, precise control of interventional robots has become increasingly important. Within these complex vascular scenarios, the accurate and reliable perception of the pose state for interventional robots is particularly crucial. This paper presents a novel vision-based approach without the need of additional sensors or markers. The core of this paper's method consists of a three-part framework: firstly, a dual-he…

Prosocial Design in Trust and Safety
David Gr\"uning, Julia Kamin
https://arxiv.org/abs/2506.12792 https://arxiv.org/pdf/2506.12…

Prosocial Design in Trust and Safety
This chapter presents an overview of Prosocial Design, an approach to platform design and governance that recognizes design choices influence behavior and that those choices can or should be made toward supporting healthy interactions and other prosocial outcomes. The authors discuss several core principles of Prosocial Design and its relationship to Trust and Safety and other related fields. As a primary contribution, the chapter reviews relevant research to demonstrate how Prosocial Design ca…

The Safety Gap Toolkit: Evaluating Hidden Dangers of Open-Source Models
Ann-Kathrin Dombrowski, Dillon Bowen, Adam Gleave, Chris Cundy
https://arxiv.org/abs/2507.11544

The Safety Gap Toolkit: Evaluating Hidden Dangers of Open-Source Models
Open-weight large language models (LLMs) unlock huge benefits in innovation, personalization, privacy, and democratization. However, their core advantage - modifiability - opens the door to systemic risks: bad actors can trivially subvert current safeguards, turning beneficial models into tools for harm. This leads to a 'safety gap': the difference in dangerous capabilities between a model with intact safeguards and one that has been stripped of those safeguards. We open-source a toolkit to est…

The Redundancy of Full Nodes in Bitcoin: A Network-Theoretic Demonstration of Miner-Centric Propagation Topologies
Dr Craig S Wright
https://arxiv.org/abs/2506.14197

The Redundancy of Full Nodes in Bitcoin: A Network-Theoretic Demonstration of Miner-Centric Propagation Topologies
This paper formally examines the network structure of Bitcoin CORE (BTC) and Bitcoin Satoshi Vision (BSV) using complex graph theory to demonstrate that home-hosted full nodes are incapable of participating in or influencing the propagation topology. Leveraging established models such as scale-free networks and small-world connectivity, we demonstrate that the propagation graph is dominated by a densely interconnected miner clique, while full nodes reside on the periphery, excluded from all tra…

#DH2025 Cha has forthcoming piece on Fine-Tuning the Historian's Macroscope
He's trying to align core principles of digital and non-digital history. Has tried topic modelling, social network analysis; now he has transformed his data he can translate research questions into graph database queries

«What's more, AI Overview will produce a response like this one even when you ask it about air purifiers that don't exist, like the "Levoit Core 5510," the "Winnix Airmega" and the "Coy Mega 700."»
On the faulty economics behind the #Google #AI search previews…

Bounding crystalline torsion from \'etale torsion
Ofer Gabber, Shizhang Li
https://arxiv.org/abs/2506.13543 https://arxiv.org/pdf…

Bounding crystalline torsion from étale torsion
In this note, we prove that given a smooth proper family over a $p$-adic ring of integers, one gets a control of its crystalline torsion in terms of its étale torsion, the cohomological degree, and the ramification. Our technical core result is a boundedness result concerning annihilator ideals of $u^{\infty}$-torsion in Breuil--Kisin prismatic cohomology, which might be of independent interest.

The Role of Rank in Mismatched Low-Rank Symmetric Matrix Estimation
Panpan Niu, Yuhao Liu, Teng Fu, Jie Fan, Chaowen Deng, Zhongyi Huang
https://arxiv.org/abs/2507.12019

The Role of Rank in Mismatched Low-Rank Symmetric Matrix Estimation
We investigate the performance of a Bayesian statistician tasked with recovering a rank-\(k\) signal matrix \(\bS \bS^{\top} \in \mathbb{R}^{n \times n}\), corrupted by element-wise additive Gaussian noise. This problem lies at the core of numerous applications in machine learning, signal processing, and statistics. We derive an analytic expression for the asymptotic mean-square error (MSE) of the Bayesian estimator under mismatches in the assumed signal rank, signal power, and signal-to-noise …

Near-Infrared Spectroscopy and Detection of Carbon Monoxide in the Type II Supernova SN 2023ixf
Seong Hyun Park, Jeonghee Rho, Sung-Chul Yoon, Jeniveve Pearson, Manisha Shrestha, Samaporn Tinyanont, T. R. Geballe, Ryan J. Foley, Aravind P. Ravi, Jennifer Andrews, David J. Sand, K. Azalee Bostroem, Chris Ashall, Peter Hoeflich, Stefano Valenti, Yize Dong, Nicolas Meza Retamal, Emily Hoang, Darshana Mehta, D. Andrew Howell, Joseph R. Farah, Giacomo Terreran, Estefania Padilla Gonzalez, M…

Near-Infrared Spectroscopy and Detection of Carbon Monoxide in the Type II Supernova SN 2023ixf
Core-collapse supernovae (CCSNe) may contribute a significant amount of dust in the early universe. Freshly formed coolant molecules (e.g., CO) and warm dust can be found in CCSNe as early as ~100 d after the explosion, allowing the study of their evolution with time series observations. In the Type II SN 2023ixf, we aim to investigate the temporal evolution of the temperature, velocity, and mass of CO and compare them with other CCSNe, exploring their implications for the dust formation in CCS…

Dark Matter signals in solar neutrinos fluxes as probe of non-linear symmetry breaking
A. Carrillo-Monteverde, L. L\'opez-Lozano
https://arxiv.org/abs/2506.14089

Dark Matter signals in solar neutrinos fluxes as probe of non-linear symmetry breaking
Dark matter (DM) particles gravitationally captured by the Sun can accumulate in its core and subsequently annihilate, producing neutrino fluxes that may be detectable on Earth. The intensity of these fluxes is highly sensitive to the properties of the underlying DM model, especially when the DM candidate is a scalar particle originating from spontaneous or non-linear symmetry breaking mechanisms. In this work, we explore the potential of solar neutrino fluxes to distinguish between the Standar…

An Entropy-Stable/Double-Flux scheme for the multi-component compressible Navier-Stokes equations
Vahid Badrkhani, T. Jeremy P. Karpowsk, Christian Hasse
https://arxiv.org/abs/2506.13231

An Entropy-Stable/Double-Flux scheme for the multi-component compressible Navier-Stokes equations
We present a novel combination of numerical techniques to improve the efficiency, accuracy, and robustness of multi-component compressible flow simulations. At the core of our approach is an Entropy-Stable formulation that preserves kinetic energy and integrates a Double-Flux scheme tailored for multi-component flows with variable specific heat ratios. This formulation yields low-dissipation, oscillation-free solutions and enhances stability compared to standard fully conservative methods. To f…

Clapping propulsion and thin vortex rings: a computational study of vortex dynamics, energy equivalence, and core potential energy
Suyog V. Mahulkar, Jaywant H. Arakeri
https://arxiv.org/abs/2507.11491

Clapping propulsion and thin vortex rings: a computational study of vortex dynamics, energy equivalence, and core potential energy
We present a numerical study on clapping propulsion using a body consisting of two rigid plates hinged at one end, with a 60-degree interplate cavity. The closing of the cavity generates a thrust-producing jet. Our previous experimental study (Mahulkar and Arakeri, PRF, 2024) compared the flow fields of the clapping body in two cases: free-moving (dynamic) and forward-constrained (stationary). The experiments revealed significant differences in body motion and flow structures. This numerical st…

CPN-Py: A Python-Based Tool for Modeling and Analyzing Colored Petri Nets
Alessandro Berti, Wil M. P. van der Aalst
https://arxiv.org/abs/2506.12238 https:…

CPN-Py: A Python-Based Tool for Modeling and Analyzing Colored Petri Nets
Colored Petri Nets (CPNs) are an established formalism for modeling processes where tokens carry data. Although tools like CPN Tools and CPN IDE excel at CPN-based simulation, they are often separate from modern data science ecosystems. Meanwhile, Python has become the de facto language for process mining, machine learning, and data analytics. In this paper, we introduce CPN-Py, a Python library that faithfully preserves the core concepts of Colored Petri Nets -- including color sets, timed tok…

SLEEPING-DISCO 9M: A large-scale pre-training dataset for generative music modeling
Tawsif Ahmed, Andrej Radonjic, Gollam Rabby
https://arxiv.org/abs/2506.14293

SLEEPING-DISCO 9M: A large-scale pre-training dataset for generative music modeling
We present Sleeping-DISCO 9M, a large-scale pre-training dataset for music and song. To the best of our knowledge, there are no open-source high-quality dataset representing popular and well-known songs for generative music modeling tasks such as text-music, music-captioning, singing-voice synthesis, melody reconstruction and cross-model retrieval. Past contributions focused on isolated and constrained factors whose core perspective was to create synthetic or re-recorded music corpus (e.g. GTSi…

A Model-Free Detection Method for Internal Short Circuits in Single Lithium-ion Cells Using Pseudo Open-Circuit Voltage Difference
Yangyang Xu, Chenglin Liao
https://arxiv.org/abs/2506.13394

A Model-Free Detection Method for Internal Short Circuits in Single Lithium-ion Cells Using Pseudo Open-Circuit Voltage Difference
This letter proposes a lightweight, model-free online diagnostic framework for detecting internal short circuits (ISC) in single lithium-ion cells under dynamic operating conditions. The core of the method lies in computing the first-order difference of pseudo open-circuit voltage ($\boldsymbol{\mathrm{OCV}_{\text{pseudo}}}$) to extract high-frequency deviations caused by ISC events from low-frequency polarization variations. The method relies solely on terminal voltage, current measurements, a…

Auditory gamma-frequency entrainment abolishes working memory deficits in a rodent model of autism #40Hz sensory entra…

Auditory Gamma-Frequency Entrainment Abolishes Working Memory Deficits in a Rodent Model of Autism
Individuals on the autism spectrum often exhibit atypical responses to sensory stimuli and difficulties with behavioral regulation, reflecting altered functional patterns in core sensory-motor circuits. These sensory processing differences suggest the potential for using patterned auditory stimulation to modulate neural activity and mitigate symptoms. While impairments in higher cognitive functions are a hallmark of autism, they remain underexplored in rodent models compared to basic sensory-mo…

In situ growth of a type-II ZnO/ZnS heterostructure:From stability to band-offset
P. R. A de Oliveira, I. Coelho, G. Felix, P. Venezuela, F. Stavale
https://arxiv.org/abs/2506.14499

In situ growth of a type-II ZnO/ZnS heterostructure:From stability to band-offset
We have successfully obtained a ZnO/ZnS heterostructure by heating a ZnS(001) single crystal in a controlled impurities-free oxygen atmosphere. Combining X-ray photoelectron spectroscopy (XPS), and atomic force microscopy (AFM), we explore the stability, electronic structure, and morphology of that interface. Our XPS measurements reveal a binding energy shift of the core-level peaks, indicating a band-bending effect due to the formation of a hybrid ZnO/ZnS interface. In addition, AFM measuremen…

Thermochemical models of outer core convection with heterogeneous core-mantle boundary heat flux
Souvik Naskar, Jonathan E. Mound, Christopher J. Davies, Andrew T. Clarke
https://arxiv.org/abs/2507.03538

Thermochemical models of outer core convection with heterogeneous core-mantle boundary heat flux
Thermochemical convection in Earth's outer core is driven by the crystallisation of the inner core that releases latent heat and light elements. A key question in core dynamics is whether a stable layer exists just below the core-mantle boundary. Recent core convection simulations, accounting for CMB heterogeneities, propose locally stable regions (or regional inversion lenses, RILs) rather than a global layer, allowing both stable and unstable regions to coexist. In this study, we consider a s…

„Donkey Kong Bananza is Nintendo going full galaxy brain.“
Can’t wait! 🫨
https://www.polygon.com/news/613165/switch-2-donkey-kong-bananza-creation-secrets-development

Nintendo’s Donkey Kong team sounds increasingly bananas
Many of the core ideas for the new Switch 2 game came from unexpected sources, Nintendo reveals

Topology-Aware Virtualization over Inter-Core Connected Neural Processing Units
Dahu Feng, Erhu Feng, Dong Du, Pinjie Xu, Yubin Xia, Haibo Chen, Rong Zhao
https://arxiv.org/abs/2506.11446

Topology-Aware Virtualization over Inter-Core Connected Neural Processing Units
With the rapid development of artificial intelligence (AI) applications, an emerging class of AI accelerators, termed Inter-core Connected Neural Processing Units (NPU), has been adopted in both cloud and edge computing environments, like Graphcore IPU, Tenstorrent, etc. Despite their innovative design, these NPUs often demand substantial hardware resources, leading to suboptimal resource utilization due to the imbalance of hardware requirements across various tasks. To address this issue, prio…

Characterizing Neural Manifolds' Properties and Curvatures using Normalizing Flows
Peter Bouss, Sandra Nester, Kirsten Fischer, Claudia Merger, Alexandre Ren\'e, Moritz Helias
https://arxiv.org/abs/2506.12187

Characterizing Neural Manifolds' Properties and Curvatures using Normalizing Flows
Neuronal activity is found to lie on low-dimensional manifolds embedded within the high-dimensional neuron space. Variants of principal component analysis are frequently employed to assess these manifolds. These methods are, however, limited by assuming a Gaussian data distribution and a flat manifold. In this study, we introduce a method designed to satisfy three core objectives: (1) extract coordinated activity across neurons, described either statistically as correlations or geometrically as…

With the browser being such a core part of our digital reality and how we access it I find it incomprehensible to move my life and workflows over to a closed source browser by some money burning "AI" startup that might not be there in a year.

Peer Review and the Diffusion of Ideas
Binglu Wang, Zhengnan Ma, Dashun Wang, Brian Uzzi
https://arxiv.org/abs/2507.11825 https://arx…

Peer Review and the Diffusion of Ideas
This study examines a fundamental yet overlooked function of peer review: its role in exposing reviewers to new and unexpected ideas. Leveraging a natural experiment involving over half a million peer review invitations covering both accepted and rejected manuscripts, and integrating high-scale bibliographic and editorial records for 37,279 submitting authors, we find that exposure to a manuscript's core ideas significantly influences the future referencing behavior and knowledge of reviewer in…

Spatial and temporal evolutions of blue-core helicon discharge driven by planar antenna with concentric rings
Chao Wang, Lei Chang, Ling-Feng Lu, Shunjiro Shinohara, Zhi-De Zeng, Ilya Zadiriev, Elena Kralkina, Zhi Li, Shi-Jie Zhang, Zi-Chen Kan, Ye Tao, Ding-Zhou Li
https://arxiv.org/abs/2506.10493…

Spatial and temporal evolutions of blue-core helicon discharge driven by planar antenna with concentric rings
The spatial and temporal evolutions of blue-core helicon discharge driven by a planar antenna with four concentric rings are explored on the Linear Experimental Advanced Device (LEAD). The discharge experiences distinct density jumps from E mode to H mode, W mode, and blue-core mode, when RF input power increases. This is similar to previous observations using other typical helicon antennas; however, this special antenna could drive modes of even higher levels for which the blue-core plasma col…

"Poulson: An 8 Core 32nm Next Generation Intel Itanium Processor"
Back then, when Itanium still was a thing. Presentation from HotChips 23 (2011): https://old.hotchips.org/wp-content/uploads/hc_archives/hc…

A Block Reduction Method for Random Band Matrices with General Variance Profiles
Jiaqi Fan, Fan Yang, Jun Yin
https://arxiv.org/abs/2507.11945 https://

A Block Reduction Method for Random Band Matrices with General Variance Profiles
We present a novel block reduction method for the study of a general class of random band matrices (RBM) defined on the $d$-dimensional lattice $\mathbb{Z}_{L}^d:=\{1,2,\ldots,L\}^{d}$ for $d\in \{1,2\}$, with band width $W$ and an almost arbitrary variance profile subject to a core condition. We prove the delocalization of bulk eigenvectors for such RBMs under the assumptions $W\ge L^{1/2+\varepsilon}$ in one dimension and $W\geq L^{\varepsilon}$ in two dimensions, where $\varepsilon$ is an ar…

Into the Unknown: Applying Inductive Spatial-Semantic Location Embeddings for Predicting Individuals' Mobility Beyond Visited Places
Xinglei Wang, Tao Cheng, Stephen Law, Zichao Zeng, Ilya Ilyankou, Junyuan Liu, Lu Yin, Weiming Huang, Natchapon Jongwiriyanurak
https://arxiv.org/abs/2506.14070…

Into the Unknown: Applying Inductive Spatial-Semantic Location Embeddings for Predicting Individuals' Mobility Beyond Visited Places
Predicting individuals' next locations is a core task in human mobility modelling, with wide-ranging implications for urban planning, transportation, public policy and personalised mobility services. Traditional approaches largely depend on location embeddings learned from historical mobility patterns, limiting their ability to encode explicit spatial information, integrate rich urban semantic context, and accommodate previously unseen locations. To address these challenges, we explore the appl…

Study of neutron response using time of flight technique in ISMRAN detector
R. Dey, P. K. Netrakanti, D. K. Mishra, S. P. Behera, R. Sehgal, V. Jha, L. M. Pant
https://arxiv.org/abs/2506.13826

Study of neutron response using time of flight technique in ISMRAN detector
We report the measurements of the fast neutron energy response in Indian Scintillator Matrix for Reactor Anti-Neutrinos (ISMRAN) detector consisting of an array of 9$\times$10 Plastic Scintillator Bars (PSBs) at BARC, Mumbai. ISMRAN is an above ground detector setup at $\sim$13 m from the Dhruva reactor core for the detection of reactor anti-neutrinos (${\overline{\ensuremathν}}_{e}$) via the inverse beta decay (IBD) process. The dominant sources of reactor-related background in the vicinity o…

Source: OpenAI is preparing ChatGPT agents to let users create files compatible with PowerPoint and Excel, generate reports, and handle tasks involving websites (Stephanie Palazzolo/The Information)
https://www.theinformation.com/articles/op

OpenAI Preps ChatGPT Agents in Challenge to Microsoft Excel and PowerPoint
As OpenAI tries to turn ChatGPT into a core application for white-collar work, it’s developing agent features that could make its customers less dependent on productivity apps from Microsoft. In the latest example, OpenAI has developed features that let ChatGPT customers quickly create and edit ...

Orchestrating the Implementation of the Smart City
Filippo Marchesani
https://arxiv.org/abs/2507.12267 https://arxiv.org/pdf/2507.122…

Orchestrating the Implementation of the Smart City
This chapter explores the six core dimensions of smart cities (i.e. smart economy, mobility, environment, people, living, and governance) emphasizing their interdependence and the need for holistic orchestration. Building on Giffinger et al. (2007) and subsequent literature, it argues that integrating these dimensions is crucial for sustainable urban development. ICT plays a key enabling role but must be complemented by human and social capital. Through institutional examples, such as the creat…

New properties of weighted generalized core-EP inverse in Banach algebras
Huanyin Chen, Marjan Sheibani
https://arxiv.org/abs/2507.07777 https://

New properties of weighted generalized core-EP inverse in Banach algebras
We characterize the generalized weighted core-EP inverse via the canonical decomposition, utilizing a weighted core-EP invertible element and a quasinilpotent. We then offer a polar-like characterization for the generalized weighted core-EP invertible element. The representations of the generalized weighted core-EP inverse by leveraging the weighted generalized Drazin inverse are thereby presented. These lead to new properties for the weighted core-EP inverse.

Arrow-Lake-Refresh soll mit mehr als nur einem Taktplus erscheinen
Bis zum Jahresende soll eine Neuauflage der Core Ultra 200S erscheinen. Offenbar mit dabei: eine stärkere KI-Einheit.
https://…

Automating Steering for Safe Multimodal Large Language Models
Lyucheng Wu, Mengru Wang, Ziwen Xu, Tri Cao, Nay Oo, Bryan Hooi, Shumin Deng
https://arxiv.org/abs/2507.13255

Automating Steering for Safe Multimodal Large Language Models
Recent progress in Multimodal Large Language Models (MLLMs) has unlocked powerful cross-modal reasoning abilities, but also raised new safety concerns, particularly when faced with adversarial multimodal inputs. To improve the safety of MLLMs during inference, we introduce a modular and adaptive inference-time intervention technology, AutoSteer, without requiring any fine-tuning of the underlying model. AutoSteer incorporates three core components: (1) a novel Safety Awareness Score (SAS) that …

Shake-down spectroscopy as state- and site-specific probe of ultrafast chemical dynamics
Henry Thompson, Matteo Bonanomi, Jacob Pedersen, Oksana Plekan, Nitish Pal, Cesare Grazioli, Kevin C. Prince, Bruno N. C. Tenorio, Michele Devetta, Davide Faccial\`a, Caterina Vozzi, Paolo Piseri, Miltcho B. Danailov, Alexander Demidovich, Alexander D. Brynes, Alberto Simoncig, Marco Zangrando, Marcello Coreno, Raimund Feifel, Richard J. Squibb, David M. P. Holland, Felix Allum, Daniel Rolles, Pier…

Shake-down spectroscopy as state- and site-specific probe of ultrafast chemical dynamics
Tracking the multifarious ultrafast electronic and structural changes occurring in a molecule during a photochemical transformation is a challenging endeavor that benefits from recent experimental and computational progress in time-resolved techniques. Measurements of valence electronic states, which provide a global picture of the bonding structure of the molecule, and core electronic states, which provide insight into the local environment, traditionally require different approaches and are o…

#urbanism talk today:
It was a bit stupid for the government (defending the court case) to agree with the prosecution that it w…

A Conceptual Framework for Requirements Engineering of Pretrained-Model-Enabled Systems
Dongming Jin, Zhi Jin, Linyu Li, Xiaohong Chen
https://arxiv.org/abs/2507.13095

A Conceptual Framework for Requirements Engineering of Pretrained-Model-Enabled Systems
Recent advances in large pretrained models have led to their widespread integration as core components in modern software systems. The trend is expected to continue in the foreseeable future. Unlike traditional software systems governed by deterministic logic, systems powered by pretrained models exhibit distinctive and emergent characteristics, such as ambiguous capability boundaries, context-dependent behavior, and continuous evolution. These properties fundamentally challenge long-standing a…

DTHA: A Digital Twin-Assisted Handover Authentication Scheme for 5G and Beyond
Guanjie Li, Tom H. Luan, Chengzhe Lai, Jinkai Zheng, Rongxing Lu
https://arxiv.org/abs/2506.11669

DTHA: A Digital Twin-Assisted Handover Authentication Scheme for 5G and Beyond
With the rapid development and extensive deployment of the fifth-generation wireless system (5G), it has achieved ubiquitous high-speed connectivity and improved overall communication performance. Additionally, as one of the promising technologies for integration beyond 5G, digital twin in cyberspace can interact with the core network, transmit essential information, and further enhance the wireless communication quality of the corresponding mobile device (MD). However, the utilization of milli…

Design and Development of an Automated Contact Angle Tester (ACAT) for Surface Wettability Measurement
Connor Burgess, Kyle Douin, Amir Kordijazi
https://arxiv.org/abs/2507.12431 …

Design and Development of an Automated Contact Angle Tester (ACAT) for Surface Wettability Measurement
The Automated Contact Angle Tester (ACAT) is a fully integrated robotic work cell developed to automate the measurement of surface wettability on 3D-printed materials. Designed for precision, repeatability, and safety, ACAT addresses the limitations of manual contact angle testing by combining programmable robotics, precise liquid dispensing, and a modular software-hardware architecture. The system is composed of three core subsystems: (1) an electrical system including power, control, and safe…

Cowboys cheerleader flaunts incredible chiseled core in string bikini https://www.sportingnews.com/us/culture/entertainment/news/dallas-cowboys-cheerleader-ava-lahey-flexes-enviable…

ARRC: Explainable, Workflow-Integrated Recommender for Sustainable Resource Optimization Across the Edge-Cloud Continuum
Brian-Frederik Jahnke, Ren\'e Brinkhege, Jan Peter Meyer, Daniel Tebernum, Falk Howar
https://arxiv.org/abs/2507.12032

ARRC: Explainable, Workflow-Integrated Recommender for Sustainable Resource Optimization Across the Edge-Cloud Continuum
Achieving sustainable, explainable, and maintainable automation for resource optimization is a core challenge across the edge-cloud continuum. Persistent overprovisioning and operational complexity often stem from heterogeneous platforms and layered abstractions, while systems lacking explainability and maintainability become fragile, impede safe recovery, and accumulate technical debt. Existing solutions are frequently reactive, limited to single abstraction layers, or require intrusive platfo…

On Quantum BSDE Solver for High-Dimensional Parabolic PDEs
Howard Su, Huan-Hsin Tseng
https://arxiv.org/abs/2506.14612 https://arxiv.…

On Quantum BSDE Solver for High-Dimensional Parabolic PDEs
We propose a quantum machine learning framework for approximating solutions to high-dimensional parabolic partial differential equations (PDEs) that can be reformulated as backward stochastic differential equations (BSDEs). In contrast to popular quantum-classical network hybrid approaches, this study employs the pure Variational Quantum Circuit (VQC) as the core solver without trainable classical neural networks. The quantum BSDE solver performs pathwise approximation via temporal discretizati…

White supremacy has always been one of the core beliefs of #Trump & #MAGA.
Only the truly ignorant or racist haven't recognized that.
Original post:

UAV Object Detection and Positioning in a Mining Industrial Metaverse with Custom Geo-Referenced Data
Vasiliki Balaska, Ioannis Tsampikos Papapetros, Katerina Maria Oikonomou, Loukas Bampis, Antonios Gasteratos
https://arxiv.org/abs/2506.13505

UAV Object Detection and Positioning in a Mining Industrial Metaverse with Custom Geo-Referenced Data
The mining sector increasingly adopts digital tools to improve operational efficiency, safety, and data-driven decision-making. One of the key challenges remains the reliable acquisition of high-resolution, geo-referenced spatial information to support core activities such as extraction planning and on-site monitoring. This work presents an integrated system architecture that combines UAV-based sensing, LiDAR terrain modeling, and deep learning-based object detection to generate spatially accur…

I'm currently preparing slides for upcoming workshops that I will hold at @…, AGIT conference. and perhaps a few other places. I am trying to clearly illustrate how out-of-core computation works in #DuckDB ( @…

Reactor error - core dumped!

Evangelical dogma says Christ changes you. Does that include your core beliefs? And how does Catholic dogma affect a new Washington law?
https://www.bobmuellerwriter.com/beyond-dogma-can-compassion-exist-without-compromise/

Beyond Dogma: Can Compassion Exist Without Compromise? – Bob Mueller
Evangelical dogma says Christ changes you. What about your core beliefs? And how does Catholic dogma affect a new Washington law?

Movable Antennas Meet Low-Altitude Wireless Networks: Fundamentals, Opportunities, and Future Directions
Wenchao Liu, Xuhui Zhang, Chunjie Wang, Jinke Ren, Weijie Yuan
https://arxiv.org/abs/2506.13250

Movable Antennas Meet Low-Altitude Wireless Networks: Fundamentals, Opportunities, and Future Directions
With the rapid development of low-altitude applications, there is an increasing demand for low-altitude wireless networks (LAWNs) to simultaneously achieve high-rate communication, precise sensing, and reliable control in the low-altitude airspace. In this paper, we first present a typical system architecture of LAWNs, which integrates three core functionalities: communication, sensing, and control. Subsequently, we explore the promising prospects of movable antenna (MA)-assisted wireless commu…

Optimizing Length Compression in Large Reasoning Models
Zhengxiang Cheng, Dongping Chen, Mingyang Fu, Tianyi Zhou
https://arxiv.org/abs/2506.14755 https://…

Optimizing Length Compression in Large Reasoning Models
Large Reasoning Models (LRMs) have achieved remarkable success, yet they often suffer from producing unnecessary and verbose reasoning chains. We identify a core aspect of this issue as "invalid thinking" -- models tend to repeatedly double-check their work after having derived the correct answer. To address this specific inefficiency, we move beyond the general principles of Efficacy and Efficiency to propose two new, fine-grained principles: Brevity, which advocates for eliminating redundancy…

A post from the archive 📫:
Debug managed Linux core dumps with Visual Studio
https://www.poppastring.com/blog/debug-managed-linux-core-dumps-with-visual-studio

Scientists identify 4,200 plastic chemicals of concern and highlight safer approaches https://phys.org/news/2025-07-scientists-plastic-chemicals-highlight-safer.html

Scientists identify 4,200 plastic chemicals of concern and highlight safer approaches
Countries are currently negotiating a global treaty to end plastic pollution and make plastics safer and more sustainable. Plastic chemicals are a core issue because all plastics, from food packaging to car tires, contain hundreds of chemicals that can leach into foodstuffs, homes, and the environment.

Study of the beyond standard model interaction using Coherent Elastic Neutrino-Nucleus Scattering process
S. P. Behera, S. Panda, D. K. Mishra
https://arxiv.org/abs/2506.14443

Study of the beyond standard model interaction using Coherent Elastic Neutrino-Nucleus Scattering process
Phenomenological studies are carried out to find the potential reach of a detector to constraints on possible beyond the standard model general neutrino interactions in the neutrino-quark sector, for the proposed Indian Coherent Neutrino-nucleus Scattering Experiment (ICNSE) at the Bhabha Atomic Research Centre in India. Reactors of different core configuration and power are used as sources of electron antineutrinos. The study has been carried out considering a target mass of 10 kg and an expos…

Two-neutrino $0^ \to 0^ $ double beta decay of $^{48}\mathrm{Ca}$ within the DFT-NCCI framework
Jan Mi\'skiewicz, Maciej Konieczka, Wojciech Satu{\l}a
https://arxiv.org/abs/2506.13747

Two-neutrino $0^+ \to 0^+$ double beta decay of $^{48}\mathrm{Ca}$ within the DFT-NCCI framework
We present a seminal calculation of the nuclear matrix element for the two-neutrino double beta ($2νββ$) decay of ${}^{48}\text{Ca} \rightarrow {}^{48}\text{Ti}$ using a post-Hartree-Fock (HF) Density Functional Theory-based No-Core Configuration-Interaction (DFT-NCCI) framework developed by our group [Phys. Rev. C 94, 024306 (2016)]. In the present calculation, we utilize a variant of the approach that restores rotational symmetry and mixes states projected from self-consistent mean-field c…

Core-Corona Decomposition of Very Compact (Neutron) Stars: Accounting for Current Data of XTE J1814-338
Rico Z\"ollner, Burkhard K\"ampfer
https://arxiv.org/abs/2506.10032

Core-Corona Decomposition of Very Compact (Neutron) Stars: Accounting for Current Data of XTE J1814-338
A core-corona decomposition of compact (neutron) star models was compared with the current mass-radius data of the outlier XTE~J1814-338. The corona (which may also be dubbed the envelope, halo or outer crust) is assumed to be of Standard Model matter, with an equation of state that is supposed to be faithfully known and accommodates nearly all other neutron star data. The core, solely parameterized by its mass, radius and transition pressure, presents a challenge regarding its composition. We …

Scale-Invariance Drives Convergence in AI and Brain Representations
Junjie Yu, Wenxiao Ma, Jianyu Zhang, Haotian Deng, Zihan Deng, Yi Guo, Quanying Liu
https://arxiv.org/abs/2506.12117

Scale-Invariance Drives Convergence in AI and Brain Representations
Despite variations in architecture and pretraining strategies, recent studies indicate that large-scale AI models often converge toward similar internal representations that also align with neural activity. We propose that scale-invariance, a fundamental structural principle in natural systems, is a key driver of this convergence. In this work, we propose a multi-scale analytical framework to quantify two core aspects of scale-invariance in AI representations: dimensional stability and structur…

Are the ONC, Pleiades, and Hyades snapshots of the same embedded cluster?
Ghasem Safaei, Hosein Haghi, Akram Hasani Zonoozi, Pavel Kroupa
https://arxiv.org/abs/2507.12531

Are the ONC, Pleiades, and Hyades snapshots of the same embedded cluster?
Using direct $N$-body simulations, we investigate the initial conditions and evolution of a star-forming region resembling the Orion Nebula Cluster (ONC) with the advanced \textsc{NBODY6} code. By varying the initial conditions, we aim to identify a model that closely aligns with observed parameters such as the half-mass radius, core radius, and total mass. Additionally, we examine the cluster's evolution over 800 Myr to determine whether it could reproduce the present-day properties of the Ple…

Distributed Computing From First Principles
Kenneth Odoh
https://arxiv.org/abs/2506.12959 https://arxiv.org/pdf/2506.12959

Distributed Computing From First Principles
This book on Distributed Computing aims to benefit a diverse audience, ranging from aspiring engineers, and seasoned researchers, to a wide range of professionals. Driven by my passion for making the core concepts of distributed computing accessible, this work is a significant undertaking designed to empower individuals from all backgrounds to gain valuable insight. Have you ever wondered how a typical distributed system works under the hood? Are you looking for a pedagogical guide with complet…

Task-Oriented Human Grasp Synthesis via Context- and Task-Aware Diffusers
An-Lun Liu, Yu-Wei Chao, Yi-Ting Chen
https://arxiv.org/abs/2507.11287 https://…

Task-Oriented Human Grasp Synthesis via Context- and Task-Aware Diffusers
In this paper, we study task-oriented human grasp synthesis, a new grasp synthesis task that demands both task and context awareness. At the core of our method is the task-aware contact maps. Unlike traditional contact maps that only reason about the manipulated object and its relation with the hand, our enhanced maps take into account scene and task information. This comprehensive map is critical for hand-object interaction, enabling accurate grasping poses that align with the task. We propose…

Anomalously fast core and envelope rotation in red giants
Siddharth Dhanpal, Othman Benomar, Shravan Hanasoge, Jim Fuller
https://arxiv.org/abs/2506.06415 …

Anomalously fast core and envelope rotation in red giants
Red giants undergo dramatic and complex structural transformations as they evolve. Angular momentum is transported between the core and envelope during this epoch, a poorly understood process. Here, we infer envelope and core rotation rates from Kepler observations of $\sim$1517 red giants. While many measurements are consistent with the existing studies, our investigation reveals systematic changes in the envelope-to-core rotation ratio and we report the discovery of anomalies such as clump st…

Aktuelle Desktop-CPUs von AMD und Intel werden günstiger
Teilweise sinken die Prozessorpreise seit Wochen, teilweise sind sie bei Amazon im Angebot. Am stärksten reduziert ist Intels Core Ultra 7 265K.
…

Quantum Resource Complementarity in Finite-Dimensional Systems
Justin K. Edmondson
https://arxiv.org/abs/2506.11741 https://arxiv.org…

Quantum Resource Complementarity in Finite-Dimensional Systems
Quantum resources such as entanglement, information redundancy, and coherence enable revolutionary advantages but obey fundamental tradeoffs. We present a unified geometric constraint governing three core operational tasks: teleportation ($q_1$), cloning ($q_2$), and coherence-based metrology ($q_3$). For any tripartite quantum state $ρ_{ABC}$, we show the tight inequality $q_1^2 + q_2^2 + q_3^2 \leq 1$ confines all physically achievable resources to the positive octant of the unit ball. This …

The Bones and Shapes of the Phillips Curve
Hanyuan Jiang
https://arxiv.org/abs/2506.14030 https://arxiv.org/pdf/2506.14030

The Bones and Shapes of the Phillips Curve
The COVID-19 pandemic reignited debate on the U.S. Phillips curve. Using MSA-level panel data (2001-2024), we employ a Two-Stage Least Squares (2SLS) instrumental variable strategy with a shift-share instrument to estimate core non-tradable inflation's response to a v/u-based slack measure. We distinguish structural slope stability from state-dependent non-linearities via a threshold model. Our analysis addresses whether the slope of the Phillips Curve changed during and after the Pandemic in t…

It is the fight Trump had been dreaming about,
a showdown with a top political rival in a deep blue state over an issue core to his political agenda.
In bypassing the authority of Gov. Gavin Newsom of California, a Democrat,
to call in the National Guard to quell protests in the Los Angeles area over his administration’s efforts to deport more migrants,
Trump is now pushing the boundaries of presidential authority and stoking criticism that he is inflaming the situation…

Trump Jumps at the Chance for a Confrontation in California Over Immigration
The situation has all the elements that the president seeks: a showdown with a top political rival in a deep blue state over an issue core to his agenda.

Memo: Google offers voluntary buyouts to US staff in the knowledge and information organization, which includes core search and much of the ads organization (The Information)
https://www.theinformation.com/articles/google-offers-buyouts-empl…

Google Offers Buyouts to Employees in Search and Ads Unit
Google is offering voluntary buyouts to employees in the knowledge and information organization, which includes the company’s core search and much of the ads organization, a senior executive told staff on Tuesday. The move comes as Google’s search business faces unprecedented threats from ...

Expert Insight-Based Modeling of Non-Kinetic Strategic Deterrence of Rare Earth Supply Disruption:A Simulation-Driven Systematic Framework
Wei Meng
https://arxiv.org/abs/2506.11645

Expert Insight-Based Modeling of Non-Kinetic Strategic Deterrence of Rare Earth Supply Disruption:A Simulation-Driven Systematic Framework
This study constructs a quantifiable modelling framework to simulate non-kinetic strategic deterrence pathways in rare earth supply disruption scenarios, based on structured responses from expert interviews led by Dr. Daniel O'Connor, CEO of the Rare Earth Exchange (REE). Focusing on disruption impacts on national security systems, the study proposes four core modelling components: Security Critical Zones (SCZ), Strategic Signal Injection Function (SSIF), System-Capability Migration Function (S…

Uncovering High-Order Cohesive Structures: Efficient (k,g)-Core Computation and Decomposition for Large Hypergraphs
Dahee Kim, Hyewon Kim, Song Kim, Minseok Kim, Junghoon Kim, Yeon-Chang Lee, Sungsu Lim
https://arxiv.org/abs/2507.08328

Uncovering High-Order Cohesive Structures: Efficient (k,g)-Core Computation and Decomposition for Large Hypergraphs
Hypergraphs, increasingly utilised to model complex and diverse relationships in modern networks, have gained significant attention for representing intricate higher-order interactions. Among various challenges, cohesive subgraph discovery is one of the fundamental problems and offers deep insights into these structures, yet the task of selecting appropriate parameters is an open question. To address this question, we aim to design an efficient indexing structure to retrieve cohesive subgraphs …

Low-loss terahertz negative curvature suspended-core fiber
Jing Deng, Lei Fan, Qichao Hou, Xingfang luo, Chun-Fang Rao, Yuan-Feng Zhu
https://arxiv.org/abs/2507.05709

Low-loss terahertz negative curvature suspended-core fiber
Inspired by the design concept of negative curvature hollow-core fibers, this paper presents an innovative negative curvature suspended-core THz fiber. Compared to traditional suspended-core fibers, all structural units of this fiber are designed with circular boundaries, effectively avoiding the issues of insufficient mechanical strength and manufacturing difficulties associated with the wide and ultra-thin rectangular support arms in traditional structures. The numerical simulation using the …

Mesoscience-based structural theory for heterogeneous gas-solid flows
Yige Liu, Bidan Zhao, Junwu Wang
https://arxiv.org/abs/2507.11010 https://

Mesoscience-based structural theory for heterogeneous gas-solid flows
Quantification of the spatiotemporal dynamics of heterogeneous gas-solid flows is critical for the design, scale-up and optimization of gas-solid reactors. In this article, by using the core concept of mesoscience (the compromise in competition between dominant mechanisms), a mathematically rigorous procedure is proposed to develop a mesoscience-based structural theory for the dynamics of heterogeneous gas-solid flows via describing the physical states corresponding to the realization of domina…

A Code Comprehension Benchmark for Large Language Models for Code
Jayant Havare, Saurav Chaudhary, Ganesh Ramakrishnan, Kaushik Maharajan, Srikanth Tamilselvam
https://arxiv.org/abs/2507.10641

A Code Comprehension Benchmark for Large Language Models for Code
Large Language Models have shown impressive capabilities in coding tasks like code generation and code completion, as they have been trained on a large amount of code data. Also, since one of the core pretraining objectives is Next Token Prediction, these models tends to learn surface-level syntactic patterns in code. However, this does not guarantee code comprehension ability i.e. the ability to capture the semantics of the code. In our opinion, this is the reason why these models often underp…

Ocean Diviner: A Diffusion-Augmented Reinforcement Learning for AUV Robust Control in the Underwater Tasks
Weiyi Liu, Jingzehua Xu, Guanwen Xie, Yi Li
https://arxiv.org/abs/2507.11283

Ocean Diviner: A Diffusion-Augmented Reinforcement Learning for AUV Robust Control in the Underwater Tasks
This paper presents a diffusion-augmented reinforcement learning (RL) approach for robust autonomous underwater vehicle (AUV) control, addressing key challenges in underwater trajectory planning and dynamic environment adaptation. The proposed method integrates three core innovations: (1) A diffusion-based trajectory generation framework that produces physically feasible multi-step trajectories, enhanced by a high-dimensional state encoding mechanism combining current observations with historic…

Illuminating the Three Dogmas of Reinforcement Learning under Evolutionary Light
Mani Hamidi, Terrence W. Deacon
https://arxiv.org/abs/2507.11482 https://

Illuminating the Three Dogmas of Reinforcement Learning under Evolutionary Light
Three core tenets of reinforcement learning (RL)--concerning the definition of agency, the objective of learning, and the scope of the reward hypothesis--have been highlighted as key targets for conceptual revision, with major implications for theory and application. We propose a framework, inspired by open-ended evolutionary theory, to reconsider these three "dogmas." We revisit each assumption and address related concerns raised alongside them. To make our arguments relevant to RL as a model …

A core-sensitive mixed $f$/$g$ mode of the Sun predicted by wave topology and hydrodynamical simulation
Arthur Le Saux, Armand Leclerc, Guillaume Laibe, Pierre Delplace, Antoine Venaille
https://arxiv.org/abs/2506.09572

A core-sensitive mixed $f$/$g$ mode of the Sun predicted by wave topology and hydrodynamical simulation
Helioseismology has revolutionized our understanding of the Sun by analyzing its global oscillation modes. However, the solar core remains elusive, limiting a full understanding of its evolution. In this work, we study a previously unnoticed global oscillation mode of the Sun using a fully compressible, hydrodynamical simulation of the solar interior, and assess that it is a mixed $f$/$g$ mode with a period of about one hour. This is the first global stellar hydrodynamics simulation that succes…

VegasAfterglow: A High-Performance Framework for Gamma-Ray Burst Afterglows
Yihan Wang, Connery Chen, Bing Zhang
https://arxiv.org/abs/2507.10829 https://

VegasAfterglow: A High-Performance Framework for Gamma-Ray Burst Afterglows
Gamma-ray bursts (GRBs) are the most luminous astrophysical transients, known to be associated with core collapse of massive stars or mergers of two compact objects such as two neutron stars. They are followed by multi-wavelength afterglow emission originating from the deceleration of the relativistic jets by the ambient medium. The study of after emission offers crucial insights into the physics of relativistic shocks, the properties of the circumburst environment, as well as the physical and …

BrainLesion Suite: A Flexible and User-Friendly Framework for Modular Brain Lesion Image Analysis
Florian Kofler, Marcel Rosier, Mehdi Astaraki, Hendrik M\"oller, Ilhem Isra Mekki, Josef A. Buchner, Anton Schmick, Arianna Pfiffer, Eva Oswald, Lucas Zimmer, Ezequiel de la Rosa, Sarthak Pati, Julian Canisius, Arianna Piffer, Ujjwal Baid, Mahyar Valizadeh, Akis Linardos, Jan C. Peeken, Surprosanna Shit, Felix Steinbauer, Daniel Rueckert, Rolf Heckemann, Spyridon Bakas, Jan Kirschke, …

BrainLesion Suite: A Flexible and User-Friendly Framework for Modular Brain Lesion Image Analysis
BrainLesion Suite is a versatile toolkit for building modular brain lesion image analysis pipelines in Python. Following Pythonic principles, BrainLesion Suite is designed to provide a 'brainless' development experience, minimizing cognitive effort and streamlining the creation of complex workflows for clinical and scientific practice. At its core is an adaptable preprocessing module that performs co-registration, atlas registration, and optional skull-stripping and defacing on arbitrary multi-…

FractalSync: Lightweight Scalable Global Synchronization of Massive Bulk Synchronous Parallel AI Accelerators
Victor Isachi, Alessandro Nadalini, Riccardo Fiorani Gallotta, Angelo Garofalo, Francesco Conti, Davide Rossi
https://arxiv.org/abs/2506.11668

FractalSync: Lightweight Scalable Global Synchronization of Massive Bulk Synchronous Parallel AI Accelerators
The slow-down of technology scaling and the emergence of Artificial Intelligence (AI) workloads have led computer architects to increasingly exploit parallelization coupled with hardware acceleration to keep pushing the performance envelope. However, this solution comes with the challenge of synchronization of processing elements (PEs) in massive heterogeneous many-core platforms. To address this challenge, we propose FractalSync, a hardware accelerated synchronization mechanism for Bulk Synchr…

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks
Aaron Jarmusch, Nathan Graddon, Sunita Chandrasekaran
https://arxiv.org/abs/2507.10789 ht…

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks
The rapid development in scientific research provides a need for more compute power, which is partly being solved by GPUs. This paper presents a microarchitectural analysis of the modern NVIDIA Blackwell architecture by studying GPU performance features with thought through microbenchmarks. We unveil key subsystems, including the memory hierarchy, SM execution pipelines, and the SM sub-core units, including the 5th generation tensor cores supporting FP4 and FP6 precisions. To understand t…

CoreWeave says it agreed to acquire bitcoin miner Core Scientific in a ~$9B all-stock deal, set to close in Q4 2025, to expand its AI data center capacity (Dana Wollman/Bloomberg)
https://www.bloomberg.com/news/articles/20