Tootfinder

Interviews with Apple's Tim Millet, Arun Mathias, and Kaiann Drance on the new neural accelerators in A19 Pro GPU cores, C1X modem, N1 wireless chip, and more (Katie Tarasov/CNBC)
https://www.cnbc.com/2025/09/21/apple-now-controls-a…

Apple takes control of all core chips in iPhone Air with new architecture to prioritize AI
Apple is quietly taking control of all the core chips in iPhone with new architecture to prioritize AI workloads on its most advanced chip, the A19 Pro.

Bears CB Johnson to have surgery, could return https://www.espn.com/nfl/story/_/id/46349106/bears-jaylon-johnson-undergo-surgery-core-muscle

CCFC: Core & Core-Full-Core Dual-Track Defense for LLM Jailbreak Protection
Jiaming Hu, Haoyu Wang, Debarghya Mukherjee, Ioannis Ch. Paschalidis
https://arxiv.org/abs/2508.14128

CCFC: Core & Core-Full-Core Dual-Track Defense for LLM Jailbreak Protection
Jailbreak attacks pose a serious challenge to the safe deployment of large language models (LLMs). We introduce CCFC (Core & Core-Full-Core), a dual-track, prompt-level defense framework designed to mitigate LLMs' vulnerabilities from prompt injection and structure-aware jailbreak attacks. CCFC operates by first isolating the semantic core of a user query via few-shot prompting, and then evaluating the query using two complementary tracks: a core-only track to ignore adversarial distractions (e…

Quantum Computing-resistant cryptographic algorithms now available for .NET developers.
✅ .NET 10 Preview 7 - Module Lattice Digital Signature Algorithm
https://github.com/dotnet/core/blob/main/release-note…

core/release-notes/10.0/preview/preview7/libraries.md at main · dotnet/core
.NET news, announcements, release notes, and more! - dotnet/core

CoreWeave says it won't increase its $9B offer for data center provider Core Scientific, despite opposition to the deal from major Core Scientific shareholders (Bloomberg)
https://www.bloomberg.com/news/articles/2025-10-2…

The Rails Core team should resign immediately

Temporal $k$-Core Query, Revisited
Yinyu Liu, Kaiqiang Yu, Shengxin Liu, Cheng Long, Zhaoquan Gu
https://arxiv.org/abs/2508.15238 https://arxiv.org/pdf/250…

Temporal $k$-Core Query, Revisited
Querying cohesive subgraphs in temporal graphs is essential for understanding the dynamic structure of real-world networks, such as evolving communities in social platforms, shifting hyperlink structures on the Web, and transient communication patterns in call networks. Recently, research has focused on the temporal $k$-core query, which aims to identify all $k$-cores across all possible time sub-intervals within a given query interval. The state-of-the-art algorithm OTCD mitigates redundant co…

Neutrinos from core-collapse supernovae
Georg G. Raffelt (MPP), Hans-Thomas Janka (MPA), Damiano F. G. Fiorillo (DESY)
https://arxiv.org/abs/2509.16306 https://

Neutrinos from core-collapse supernovae
The core of a massive star (M > 8 Msun) eventually collapses. This implosion usually triggers a supernova (SN) explosion that ejects most of the stellar envelope and leaves behind a neutron star (NS) with a mass of up to about 2 Msun. Sometimes the explosion fails and a black hole forms instead. The NS radiates its immense binding energy (some 10% of its rest mass or $2-4\times10^{53}$ erg) almost entirely as neutrinos and antineutrinos of all flavors with typical energies of some 10 MeV. This …

Depth, Confidence, Competition: Raiders’ Young Core Brings Fresh Hope https://raiderramble.com/2025/08/20/depth-confidence-competition-raiders-young-core-brings-fresh-hope/

Intel-Gerüchte: Achtkern-CPU für Budget-PCs und Core Ultra X für Notebooks
Das Auslese-Tool CPU-Z gibt einen Ausblick auf neue Intel-Prozessoren. Für Budget-PCs könnte der Core Ultra 3 205 spannend werden.

Revising core powered mass loss: A critical assessment of the "energy limited" argument
Darius Modirrousta-Galian, Jun Korenaga
https://arxiv.org/abs/2509.16046 https:…

Revising core powered mass loss: A critical assessment of the "energy limited" argument
The extreme conditions in the early stages of planetary evolution are thought to shape its subsequent development. High internal temperatures from giant impacts can provide sufficient energy to drive extreme volatile loss, with hydrogen being most readily lost. However, the conditions required for maintaining a primordial atmosphere over geological timescales remain enigmatic. This paper revisits the core powered mass loss model for hydrogen removal from planetary atmospheres. One popular appro…

DOSBox Pure Unleashed is out for Windows, Mac, and Linux after five years in development — enhanced standalone release no longer restricted to being a RetroArch core https://www.

DOSBox Pure Unleashed is ready for Windows, Mac, and Linux computers after five years in development — enhanced standalone release no longer restricted to being a RetroArch core
Standalone app includes experimental support for Windows 9X gaming.

Maybe the core point behind Kubernetes is "how can we get young men to yell at clouds too?"

Core metamorphism controls the dynamic habitability of mid-sized ocean worlds—The case of #Ceres: https://www.science.org/doi/10.1126/sciadv.adt3283 -> Ceres May Have Had Long-Standing Energy to Fuel Habitability: https://www.jpl.nasa.gov/news/nasa-ceres-may-have-had-long-standing-energy-to-fuel-habitability/

Core-elements Subsampling for Alternating Least Squares
Dunyao Xue, Mengyu Li, Cheng Meng, Jingyi Zhang
https://arxiv.org/abs/2509.18024 https://arxiv.org/…

Core-elements Subsampling for Alternating Least Squares
In this paper, we propose a novel element-wise subset selection method for the alternating least squares (ALS) algorithm, focusing on low-rank matrix factorization involving matrices with missing values, as commonly encountered in recommender systems. While ALS is widely used for providing personalized recommendations based on user-item interaction data, its high computational cost, stemming from repeated regression operations, poses significant challenges for large-scale datasets. To enhance t…

Memo: WaPo pivots WP Ventures, its "third newsroom", to a more commercial venture, placing it under CSO Suzi Watford and separating it from the core news brand (Sara Fischer/Axios)
https://www.axios.com/2025/07/22/washington-post-third-newsroom

WaPo pivots "third newsroom" to a more commercial venture
The shake-up represents a big shift in the Post's editorial strategy as it looks to overcome revenue challenges.

On the Existence and Complexity of Core-Stable Data Exchanges
Jiaxin Song, Pooja Kulkarni, Parnian Shahkar, Bhaskar Ray Chaudhury
https://arxiv.org/abs/2509.16450 https://

On the Existence and Complexity of Core-Stable Data Exchanges
The rapid growth of data-driven technologies and the emergence of various data-sharing paradigms have underscored the need for efficient and stable data exchange protocols. In any such exchange, agents must carefully balance the benefit of acquiring valuable data against the cost of sharing their own. Ensuring stability in these exchanges is essential to prevent agents -- or groups of agents -- from departing and conducting local (and potentially more favorable) exchanges among themselves. To a…

Early Evolution of the Cavity and Core of a Coronal Mass Ejection in the Inner Corona
Shuting Li, Li Feng, Beili Ying, Hongqiang Song, Guanglu Shi, Jiahui Shan, Jie Zhao, Weiqun Gan
https://arxiv.org/abs/2508.14455

Early Evolution of the Cavity and Core of a Coronal Mass Ejection in the Inner Corona
Coronal mass ejections (CMEs) typically exhibit a three-component structure in white-light (WL) coronagraphs. Utilizing the seamless observations of the inner corona ($\le$ 3 R$_\odot$), we have revealed the early evolution of the cavity and core of a CME starting at $\sim$18:20 UT on 2014 October 14. The CME originates from a hot channel (HC), which appears as the bright core and compresses the cavity in WL images. Specifically, most of the dark cavity in WL is filled by bright loop-like struc…

MediaTek unveils its 3nm Dimensity 9500 mobile SoC, featuring an 8-core CPU, 12-core GPU with hardware ray tracing, and its ninth-gen MediaTek NPU 990 (Hadlee Simons/Android Authority)
https://www.androidauthority.com/mediatek-dimensity-9500-launch-3598962/

This Snapdragon 8 Elite Gen 5 rival has impressive camera, ray tracing capabilities
MediaTek has announced the Dimensity 9500 chipset, and it brings major upgrades for CPU performance, ray tracing, and camera capabilities.

The simple fact is that there are systems that are actually built to resist fascism. There have been a lot of advancements in the last couple hundred years.
We are at a breaking point. The political institutions of the US have been largely destroyed. Even another Democrat, even the best Democrat, even Bernie Sanders couldn't fix this. Every American instruction is rotten to the core.
It's time to face this fact, and figure out how to build something better. Stop believing in American exceptionalism and start looking for models of systems that are inherently resistant to fascism.

Islands of Electromagnetic Tranquility in Our Galactic core and Little Red Dots that Shelter Molecules and Prebiotic Chemistry
Remo Ruffini, Yu Wang
https://arxiv.org/abs/2509.17484

Islands of Electromagnetic Tranquility in Our Galactic core and Little Red Dots that Shelter Molecules and Prebiotic Chemistry
Both the Galactic center and LRDs host million-solar-mass black holes within dense, cold reservoirs of molecular gas, and are electromagnetically tranquil. These conditions enable complex molecular chemistry and may serve as natural laboratories for prebiotic genetic evolution by allowing the synthesis of organic molecules essential for life.

If I understand that correctly, a container image is built from a base image by creating a container from the base image and then carrying out operations that build up successive layers in an overlay filesystem and then committing the result.
An overlay filesystem is at the core a sequence of directories that is traversed when looking for a file. The first directory that has the file wins, where deletions are just files with a special bit set.
Now to what I am wondering about:

"This title is reasonable" – a commentary on LW, speaking to the title of the book "If Anyone Builds It, Everyone Dies"
https://www.lesswrong.com/posts/voEAJ9nFBAqau8pNN/the-title-is-reasonable
(audio: 28min)
I've read …

The title is reasonable — LessWrong
Alt title: "I don't believe you that you actually disagree particularly with the core thesis of the book, if you pay attention to what it actually sa…

Demon core plush that glows blue when you squeeze it

@… is looking for a remote #RoR #Ruby developer to work on the websites!
#getfedihired

People out there really going “it’s not the problem of the Rails core team”.
WHO’S PROBLEM IS IT THEN???
Jesus fucking Christ, show at least a semblance of a spine and responsibility in leadership roles.
We’re talking fucking computer code versus the dignity and lives of people here.

Protect your privacy – browsers and search engines
 
Surveillance has always been a core part of fascist regimes. This is still true today, but is even more dangerous due to new data aggregation and AI technologies. The Internet sites you visit and the things you search for become a part of the larger surveillance database of your activities. You can take action now to reduce the risk to yourself, your friends and your loved ones while you browse the Internet. You should start now …

ListenToJESD204B: A Lightweight Open-Source JESD204B IP Core for FPGA-Based Ultrasound Acquisition systems
Soumyo Bhattacharjee, Federico Villani, Christian Vogt, Andrea Cossettini, Luca Benini
https://arxiv.org/abs/2508.14798

ListenToJESD204B: A Lightweight Open-Source JESD204B IP Core for FPGA-Based Ultrasound Acquisition systems
The demand for hundreds of tightly synchronized channels operating at tens of MSPS in ultrasound systems exceeds conventional low-voltage differential signaling links' bandwidth, pin count, and latency. Although the JESD204B serial interface mitigates these limitations, commercial FPGA IP cores are proprietary, costly, and resource-intensive. We present ListenToJESD204B, an open-source receiver IP core released under a permissive Solderpad 0.51 license for AMD Xilinx Zynq UltraScale+ devices. W…

BaseReward: A Strong Baseline for Multimodal Reward Model
Yi-Fan Zhang, Haihua Yang, Huanyu Zhang, Yang Shi, Zezhou Chen, Haochen Tian, Chaoyou Fu, Haotian Wang, Kai Wu, Bo Cui, Xu Wang, Jianfei Pan, Haotian Wang, Zhang Zhang, Liang Wang
https://arxiv.org/abs/2509.16127

BaseReward: A Strong Baseline for Multimodal Reward Model
The rapid advancement of Multimodal Large Language Models (MLLMs) has made aligning them with human preferences a critical challenge. Reward Models (RMs) are a core technology for achieving this goal, but a systematic guide for building state-of-the-art Multimodal Reward Models (MRMs) is currently lacking in both academia and industry. Through exhaustive experimental analysis, this paper aims to provide a clear ``recipe'' for constructing high-performance MRMs. We systematically investigate eve…

Core i5-110: Intel legt fünf Jahre alten Prozessor neu auf
Auf den Core 5 120 folgt der Core i5-110. Beide gehören zur "Series 1", haben aber kaum etwas gemeinsam.
https://www.

Hardness of Dynamic Core and Truss Decompositions
Yan S. Couto, Cristina G. Fernandes
https://arxiv.org/abs/2509.13584 https://arxiv.org/pdf/2509.13584

Hardness of Dynamic Core and Truss Decompositions
The k-core of a graph is its maximal subgraph with minimum degree at least k, and the core value of a vertex u is the largest k for which u is contained in the k-core of the graph. Among cohesive subgraphs, k-core and its variants have received a lot of attention recently, particularly on dynamic graphs, as reported by Hanauer, Henzinger, and Schulz in their recent survey on dynamic graph algorithms. We answer questions on k-core stated in the survey, proving that there is no efficient dynamic …

Understanding Haskell-style Overloading via Open Data and Open Functions
Andrew Marmaduke, Apoorv Ingle, J. Garrett Morris
https://arxiv.org/abs/2507.16086

Understanding Haskell-style Overloading via Open Data and Open Functions
We present a new, uniform semantics for Haskell-style overloading. We realize our approach in a new core language, System F$_\mathrm{D}$, whose metatheory we mechanize in the Lean4 interactive theorem prover. System F$_\mathrm{D}$ is distinguished by its open data types and open functions, each given by a collection of instances rather than by a single definition. We show that System F$_\mathrm{D}$ can encode advanced features of Haskell's of type class systems, more expressively than current s…

A Survey on Large Language Model Benchmarks
Shiwen Ni, Guhong Chen, Shuaimin Li, Xuanang Chen, Siyi Li, Bingli Wang, Qiyao Wang, Xingjian Wang, Yifan Zhang, Liyang Fan, Chengming Li, Ruifeng Xu, Le Sun, Min Yang
https://arxiv.org/abs/2508.15361

A Survey on Large Language Model Benchmarks
In recent years, with the rapid development of the depth and breadth of large language models' capabilities, various corresponding evaluation benchmarks have been emerging in increasing numbers. As a quantitative assessment tool for model performance, benchmarks are not only a core means to measure model capabilities but also a key element in guiding the direction of model development and promoting technological innovation. We systematically review the current status and development of large la…

CCrepairBench: A High-Fidelity Benchmark and Reinforcement Learning Framework for C Compilation Repair
Weixuan Sun, Jucai Zhai, Dengfeng Liu, Xin Zhang, Xiaojun Wu, Qiaobo Hao, AIMgroup, Yang Fang, Jiuyang Tang
https://arxiv.org/abs/2509.15690

CCrepairBench: A High-Fidelity Benchmark and Reinforcement Learning Framework for C++ Compilation Repair
The automated repair of C++ compilation errors presents a significant challenge, the resolution of which is critical for developer productivity. Progress in this domain is constrained by two primary factors: the scarcity of large-scale, high-fidelity datasets and the limitations of conventional supervised methods, which often fail to generate semantically correct patches.This paper addresses these gaps by introducing a comprehensive framework with three core contributions. First, we present CCr…

Collapse of rotating very massive stellar cores leading to a black hole and a massive disk as a source of gravitational waves
Masaru Shibata, Sho Fujibayashi
https://arxiv.org/abs/2509.15619

Collapse of rotating very massive stellar cores leading to a black hole and a massive disk as a source of gravitational waves
We derive models of rotating very massive stellar cores with mass $\approx 10^2$--$10^4M_\odot$ which are marginally stable to the pair-unstable collapse, assuming that the core is isentropic and composed primarily of oxygen. It is shown that the cores with mass $\lesssim 10^3M_\odot$ can form a massive disk with the mass more than 10% of the core mass around the formed black hole if the core is rotating with more than 30% of the Keplerian limit. We also indicate that the formation of rapidly s…

What is a good matching of probability measures? A counterfactual lens on transport maps
Lucas De Lara, Luca Ganassali
https://arxiv.org/abs/2509.16027 https://

What is a good matching of probability measures? A counterfactual lens on transport maps
Coupling probability measures lies at the core of many problems in statistics and machine learning, from domain adaptation to transfer learning and causal inference. Yet, even when restricted to deterministic transports, such couplings are not identifiable: two atomless marginals admit infinitely many transport maps. The common recourse to optimal transport, motivated by cost minimization and cyclical monotonicity, obscures the fact that several distinct notions of multivariate monotone matchin…

At 2-5, Raiders’ Future Depends On This Core Group https://www.si.com/nfl/raiders/las-vegas-genosmith-darien-porter-kenny-pickett

Towards the State Space Interpretation (SSI): A Formalized Framework for Game Studies and Design
Zhenghao Wang, Shuo Xiong
https://arxiv.org/abs/2509.17610 https://

Towards the State Space Interpretation (SSI): A Formalized Framework for Game Studies and Design
In this paper, we establish structural analogies between core concepts in quantum mechanics and games. By constructing the Quantum Coin Toss on a quantum circuit, we preliminarily investigate the similarity between quantum system behavior and game behavior, thereby formulating the state-operation paradigm. Using this paradigm, we introduce the conceptual prototype of the State Space Interpretation (SSI). Based on mathematical and physical theories, particularly linear algebra, quantum mechanics…

OECD
Governing with Artificial Intelligence - The State of Play and Way Forward in Core Government Functions
Report
18 September 2025
site: https://www.oecd.org/en/publications/governin…

The Core Folder Anti-Pattern - #dotNet
https://improveandrepeat.com/2025/09/the-core-folder-anti-pattern/

The Core Folder Anti-Pattern - Improve & Repeat
None

sat-QFL: Secure Quantum Federated Learning for Low Orbit Satellites
Dev Gurung, Shiva Raj Pokhrel
https://arxiv.org/abs/2509.16504 https://arxiv.org/pdf/25…

sat-QFL: Secure Quantum Federated Learning for Low Orbit Satellites
Low Earth orbit (LEO) constellations violate core assumptions of standard (quantum) federated learning (FL): client-server connectivity is intermittent, participation is time varying, and latency budgets are strict. We present sat-QFL, a hierarchical, access aware quantum federated learning (QFL) framework that partitions satellites into primary (ground connected) and secondary as inter-satellite links (ISL-only) roles, and schedules sequential, simultaneous, or asynchronous edge training align…

Large smooth twins from short lattice vectors
Erik Mulder (GRACE), Bruno Sterner (GRACE), Wessel van Woerden
https://arxiv.org/abs/2509.17699 https://arxiv…

Large smooth twins from short lattice vectors
Finding the largest pair of consecutive $B$-smooth integers is computationally challenging. Current algorithms to find such pairs have an exponential runtime -- which has only be provably done for $B \leq 100$ and heuristically for $100 < B \leq 113$. We improve this by detailing a new algorithm to find such large pairs. The core idea is to solve the shortest vector problem (SVP) in a well constructed lattice. With this we are able to significantly increase $B$ and notably report the heuristica…

Accelerating K-Core Computation in Temporal Graphs
Zhuo Ma, Dong Wen, Hanchen Wang, Wentao Li, Wenjie Zhang, Xuemin Lin
https://arxiv.org/abs/2508.14147 https://

Accelerating K-Core Computation in Temporal Graphs
We address the problem of enumerating all temporal k-cores given a query time range and a temporal graph, which suffers from poor efficiency and scalability in the state-of-the-art solution. Motivated by an existing concept called core times, we propose a novel algorithm to compute all temporal $k$-cores based on core times and prove that the algorithmic running time is bounded by the size of all resulting temporal k-cores, which is optimal in this scenario. Meanwhile, we show that the cost of …

Way to Build Native AI-driven 6G Air Interface: Principles, Roadmap, and Outlook
Ping Zhang, Kai Niu, Yiming Liu, Zijian Liang, Nan Ma, Xiaodong Xu, Wenjun Xu, Mengying Sun, Yinqiu Liu, Xiaoyun Wang, Ruichen Zhang
https://arxiv.org/abs/2508.15277

Way to Build Native AI-driven 6G Air Interface: Principles, Roadmap, and Outlook
Artificial intelligence (AI) is expected to serve as a foundational capability across the entire lifecycle of 6G networks, spanning design, deployment, and operation. This article proposes a native AI-driven air interface architecture built around two core characteristics: compression and adaptation. On one hand, compression enables the system to understand and extract essential semantic information from the source data, focusing on task relevance rather than symbol-level accuracy. On the other…

Recent Advancements in Microscopy Image Enhancement using Deep Learning: A Survey
Debasish Dutta, Neeharika Sonowal, Risheraj Barauh, Deepjyoti Chetia, Sanjib Kr Kalita
https://arxiv.org/abs/2509.15363

Recent Advancements in Microscopy Image Enhancement using Deep Learning: A Survey
Microscopy image enhancement plays a pivotal role in understanding the details of biological cells and materials at microscopic scales. In recent years, there has been a significant rise in the advancement of microscopy image enhancement, specifically with the help of deep learning methods. This survey paper aims to provide a snapshot of this rapidly growing state-of-the-art method, focusing on its evolution, applications, challenges, and future directions. The core discussions take place aroun…

On Evaluating the Adversarial Robustness of Foundation Models for Multimodal Entity Linking
Fang Wang, Yongjie Wang, Zonghao Yang, Minghao Hu, Xiaoying Bai
https://arxiv.org/abs/2508.15481

On Evaluating the Adversarial Robustness of Foundation Models for Multimodal Entity Linking
The explosive growth of multimodal data has driven the rapid development of multimodal entity linking (MEL) models. However, existing studies have not systematically investigated the impact of visual adversarial attacks on MEL models. We conduct the first comprehensive evaluation of the robustness of mainstream MEL models under different adversarial attack scenarios, covering two core tasks: Image-to-Text (I2T) and Image+Text-to-Text (IT2T). Experimental results show that current MEL models gen…

Tight Inter-Core Cache Contention Analysis for WCET Estimation on Multicore Systems
Shuai Zhao, Jieyu Jiang, Shenlin Cai, Yaowei Liang, Chen Jie, Yinjie Fang, Wei Zhang, Guoquan Zhang, Yaoyao Gu, Xiang Xiao, Wei Qin, Xiangzhen Ouyang, Wanli Chang
https://arxiv.org/abs/2508.13863

Tight Inter-Core Cache Contention Analysis for WCET Estimation on Multicore Systems
WCET (Worst-Case Execution Time) estimation on multicore architecture is particularly challenging mainly due to the complex accesses over cache shared by multiple cores. Existing analysis identifies possible contentions between parallel tasks by leveraging the partial order of the tasks or their program regions. Unfortunately, they overestimate the number of cache misses caused by a remote block access without considering the actual cache state and the number of accesses. This paper reports a n…

Abelian-Higgs vortices in the oscillating axion background
Naoya Kitajima, Shota Nakagawa
https://arxiv.org/abs/2507.16720 https://ar…

Abelian-Higgs vortices in the oscillating axion background
We study the dynamics of Abelian-Higgs vortices in the background of a coherently oscillating axion field. We show that the electric field is induced in the magnetic core of the vortex due to the axion-photon conversion. Moreover, because the electromagnetic field is confined in the vortex and excluded from the superconducting bulk regions due to the Meissner effect, the vortex tube can be regarded as a cylindrical cavity, and our numerical analysis shows that the resonant cavity mode (TM010 mo…

dot-PE: Sampler-free gravitational wave inference using matrix multiplication
Jonathan Mushkin, Javier Roulet, Barak Zackay, Tejaswi Venumadhav, Oryna Ivashtenko, Digvijay Wadekar, Ajit Kumar Mehta, Matias Zaldarriaga
https://arxiv.org/abs/2507.16022

dot-PE: Sampler-free gravitational wave inference using matrix multiplication
Parameter estimation (PE) for compact binary coalescence (CBC) events observed by gravitational wave (GW) laser interferometers is a core task in GW astrophysics. We present a method to compute the posterior distribution efficiently without relying on stochastic samplers. First, we show how to select sets of intrinsic and extrinsic parameters that efficiently cover the relevant phase space. We then show how to compute the likelihood for all combinations of these parameters using dot products. W…

Low-Cost Shield MicroBCI to Measure EEG with STM32
Ildar Rakhmatulin
https://arxiv.org/abs/2509.16229 https://arxiv.org/pdf/2509.16229

Low-Cost Shield MicroBCI to Measure EEG with STM32
The article introduces an accessible pathway into neuroscience using the MicroBCI device, which leverages the STM32 Nucleo-55RG development board as the core platform. MicroBCI enables the STM32 board to function as a brain-computer interface, capable of recording EEG, EMG, and ECG signals across 8 channels. Over the past decade, the rapid growth of artificial intelligence has transformed many fields, including neurobiology. The application of machine learning methods has created opportunities …

A misaligned protostellar disk fed by gas streamers in a barred spiral-like massive dense core
Xiaofeng Mai, Tie Liu, Xunchuan Liu, Bo Zhang, Paul F. Goldsmith, Neal J. Evans II, Qizhou Zhang, Kee-Tae Kim, Dongting Yang, Mika Juvela, Fengwei Xu, Wenyu Jiao, Hongli Liu, Patricio Sanhueza, Guido Garay, Xi Chen, Shengli Qin, Jakobus M. Vorster, Anandmayee Tej, Zhiyuan Ren, Sami Dib, Shanghuo Li, Qiuyi Luo, Jihye Hwang, Prasanta Gorai, Ariful Hoque, Yichen Zhang, Jeong-Eun Lee, Siju Zhang,…

A misaligned protostellar disk fed by gas streamers in a barred spiral-like massive dense core
High-mass stars, born in massive dense cores (MDCs), profoundly impact the cosmic ecosystem through feedback processes and metal enrichment, yet little is known about how MDCs assemble and transfer mass across scales to form high-mass young stellar objects (HMYSOs). Using multi-scale (40-2500 au) observations of an MDC hosting an HMYSO, we identify a coherent dynamical structure analogous to barred spiral galaxies: three 20,000 au spiral arms feed a 7,500 au central bar, which channels gas to a…

Core position-dependent gyrotropic and damping contributions to the Thiele equation approach for accurate spin-torque vortex oscillator dynamics
Colin Ducarme, Simon De Wergifosse, Flavio Abreu Araujo
https://arxiv.org/abs/2508.14829

Core position-dependent gyrotropic and damping contributions to the Thiele equation approach for accurate spin-torque vortex oscillator dynamics
Understanding the nonlinear dynamics of magnetic vortices in spin-torque vortex oscillators (STVOs) is essential for their application in neuromorphic computing. Existing models either rely on the standard Thiele equation approach (TEA), which offer only qualitative predictions, or on micromagnetic simulations (MMS), which are computationally demanding. We present a refined Thiele approach that incorporates the deformation of the vortex profile for the evaluation of the gyrotropic and damping t…

CPU core of the PIC12F683 seen at poly.
This image is slightly out of focus in spots, I have a better 100x scan in the works, but we can see a couple of interesting things.
* At the south edge, we see a structure with what looks like 13-way symmetry then something weird looking at the far east. The instruction word is 14 bits so I'm guessing these are instruction latches with something special in the LSB or MSB position (I'll need to brush up on the PIC binary instruction…

@…
<https://www.reddit.com/r/freebsd/comments/1mpelrz/core_team_update_june_2025_freebsd_developer/

Dear #Apple. I am curious to know what the top priorities of the company is going forth. I ask because there are many of us who are confused about where this company is headed. We are concerned, as the more successful you have become, that more diluted your core mission has become. Example : Liquid Glass UI? really?
Form over function? no! ... gives us back "It Just Works"…

A Comparison of Low and high-Order Methods for the Simulation of Supersonic Jet Flows
D. F. Abreu, C. Junqueira-Junior, E. T. V. Dauricio, J. L. F. Azevedo
https://arxiv.org/abs/2509.17725

A Comparison of Low and high-Order Methods for the Simulation of Supersonic Jet Flows
The present work compares results for different numerical methods in search of alternatives to improve the quality of large-eddy simulations for the problem of supersonic turbulent jet flows. Previous work has analyzed supersonic jet flows using a second-order, finite difference solver based on structured meshes, and the results indicated a shorter potential core of the jet and different levels of velocity fluctuations. In the present work, the results of previous simulations are compared to ne…

@… I don't know about pastagang (haven't listened to all the podcasts yet!) but I guess the core controversy in live coding in general is the question of what it is. It's a pretty tired question but I think that doesn't stop it being controversial with a lot of opinions, even if differences are (generally) very good natured. Relatedly the question of wha…

Physics-Informed Neural Networks for High-Precision Grad-Shafranov Equilibrium Reconstruction
Cuizhi Zhou, Kaien Zhu
https://arxiv.org/abs/2507.16636 https…

Physics-Informed Neural Networks for High-Precision Grad-Shafranov Equilibrium Reconstruction
The equilibrium reconstruction of plasma is a core step in real-time diagnostic tasks in fusion research. This paper explores a multi-stage Physics-Informed Neural Networks(PINNs) approach to solve the Grad-Shafranov equation, achieving high-precision solutions with an error magnitude of $O(10^{-8})$ between the output of the second-stage neural network and the analytical solution. Our results demonstrate that the multi-stage PINNs provides a reliable tool for plasma equilibrium reconstruction.

The number of different numbering schemes #libreoffice has to cope with is pretty incredible;
https://git.libreoffice.org/core/ /re…

To Our Core With Katie Murray
This podcast creates space for us to peel back the layers, drop the mask and stop performing...
Great Australian Pods Podcast Directory: https://www.greataustralianpods.com/to-our-core/

"Look up: five hopeful novels about the climate crisis"
#Climate #ClimateChange #Books

Block party! 🎉

MExECON: Multi-view Extended Explicit Clothed humans Optimized via Normal integration
Fulden Ece U\u{g}ur, Rafael Redondo, Albert Barreiro, Stefan Hristov, Roger Mar\'i
https://arxiv.org/abs/2508.15500

MExECON: Multi-view Extended Explicit Clothed humans Optimized via Normal integration
This work presents MExECON, a novel pipeline for 3D reconstruction of clothed human avatars from sparse multi-view RGB images. Building on the single-view method ECON, MExECON extends its capabilities to leverage multiple viewpoints, improving geometry and body pose estimation. At the core of the pipeline is the proposed Joint Multi-view Body Optimization (JMBO) algorithm, which fits a single SMPL-X body model jointly across all input views, enforcing multi-view consistency. The optimized body …

CaTE Data Curation for Trustworthy AI
Mary Versa Clemens-Sewall, Christopher Cervantes, Emma Rafkin, J. Neil Otte, Tom Magelinski, Libby Lewis, Michelle Liu, Dana Udwin, Monique Kirkman-Bey
https://arxiv.org/abs/2508.14741

CaTE Data Curation for Trustworthy AI
This report provides practical guidance to teams designing or developing AI-enabled systems for how to promote trustworthiness during the data curation phase of development. In this report, the authors first define data, the data curation phase, and trustworthiness. We then describe a series of steps that the development team, especially data scientists, can take to build a trustworthy AI-enabled system. We enumerate the sequence of core steps and trace parallel paths where alternatives exist. …

Das metadaten.community-Forum war down. Ursache war die Integration von Plugins, in den Discourse-Core (https://meta.discourse.org/t/bundling-more-popular-plugins-with-discourse-core/373574) in Verbindung mit einem bei uns konfigurierten sonttäglich…

The Solid-state Physics of Rydberg-dressed Bosonic Mixtures
Yi-Ming Duan, Liang-Jun He, Fabian Maucher, Yong-Chang Zhang
https://arxiv.org/abs/2507.16277 h…

The Solid-state Physics of Rydberg-dressed Bosonic Mixtures
We explore phases of two-component Rydberg-dressed Bose-Einstein condensates in three spatial dimensions. The competition between the effective ranges of inter- and intra-component soft-core interactions leads to a rich variety of ground states. These include states resembling ionic compounds with face-centered cubic or simple cubic lattice structure. Upon increasing the scattering length, the dimensionality of the symmetry-breaking is lower due to the suppression of large densities, leading to…

Quantum Communication with Quantum Dots Beyond Telecom Wavelengths via Hollow-Core Fibers
Lorenzo Carosini, Francesco Giorgino, Patrik I. Sund, Lena M. Hansen, Rene R. Hamel, Lee A. Rozema, Francesco Poletti, Radan Slav\'ik, Philip Walther, Christopher Hilweg
https://arxiv.org/abs/2509.11889

Quantum Communication with Quantum Dots Beyond Telecom Wavelengths via Hollow-Core Fibers
Quantum dot single-photon sources are promising for quantum communication. Yet, the most advanced devices operate near 900 nm, where standard single-mode fibers experience significant losses. We address this by employing a hollow-core fiber engineered for low-loss transmission at quantum dot wavelengths, with measured loss of 0.65 dB/km and potentially as low as 0.12 dB/km near 934 nm. The fiber also supports strong classical signals at 1550 nm without adding Raman noise. Using this platform, w…

@…
EDIT: nevermind. I converted the references but I'm still open to feedback if you have any.
do you have any advice for me?
I'm surely doing something wrong.
https://

Correct Black-Box Monitors for Distributed Deadlock Detection: Formalisation and Implementation (Technical Report)
Rados{\l}aw Jan Rowicki, Adrian Francalanza, Alceste Scalas
https://arxiv.org/abs/2508.14851

Correct Black-Box Monitors for Distributed Deadlock Detection: Formalisation and Implementation (Technical Report)
Many software applications rely on concurrent and distributed (micro)services that interact via message-passing and various forms of remote procedure calls (RPC). As these systems organically evolve and grow in scale and complexity, the risk of introducing deadlocks increases and their impact may worsen: even if only a few services deadlock, many other services may block while awaiting responses from the deadlocked ones. As a result, the "core" of the deadlock can be obfuscated by its consequen…

Ryzen vs. Core: Fast jeder dritte Desktop-Prozessor stammt von AMD
AMDs CPU-Baureihe Ryzen 9000 zeigt sich besonders erfolgreich. Konsolen helfen AMD, Intel Marktanteile abzuknöpfen.
https://www.

Structural DID with ML: Theory, Simulation, and a Roadmap for Applied Research
Yile Yu, Anzhi Xu, Yi Wang
https://arxiv.org/abs/2507.15899 https://

Structural DID with ML: Theory, Simulation, and a Roadmap for Applied Research
Causal inference in observational panel data has become a central concern in economics,policy analysis,and the broader social sciences.To address the core contradiction where traditional difference-in-differences (DID) struggles with high-dimensional confounding variables in observational panel data,while machine learning (ML) lacks causal structure interpretability,this paper proposes an innovative framework called S-DIDML that integrates structural identification with high-dimensional estimat…

DREAM: Scalable Red Teaming for Text-to-Image Generative Systems via Distribution Modeling
Boheng Li, Junjie Wang, Yiming Li, Zhiyang Hu, Leyi Qi, Jianshuo Dong, Run Wang, Han Qiu, Zhan Qin, Tianwei Zhang
https://arxiv.org/abs/2507.16329

DREAM: Scalable Red Teaming for Text-to-Image Generative Systems via Distribution Modeling
Despite the integration of safety alignment and external filters, text-to-image (T2I) generative models are still susceptible to producing harmful content, such as sexual or violent imagery. This raises serious concerns about unintended exposure and potential misuse. Red teaming, which aims to proactively identify diverse prompts that can elicit unsafe outputs from the T2I system (including the core generative model as well as potential external safety filters and other processing components), …

ClassMind: Scaling Classroom Observation and Instructional Feedback with Multimodal AI
Ao Qu, Yuxi Wen, Jiayi Zhang, Yunge Wen, Yibo Zhao, Alok Prakash, Andr\'es F. Salazar-G\'omez, Paul Pu Liang, Jinhua Zhao
https://arxiv.org/abs/2509.18020

ClassMind: Scaling Classroom Observation and Instructional Feedback with Multimodal AI
Classroom observation -- one of the most effective methods for teacher development -- remains limited due to high costs and a shortage of expert coaches. We present ClassMind, an AI-driven classroom observation system that integrates generative AI and multimodal learning to analyze classroom artifacts (e.g., class recordings) and deliver timely, personalized feedback aligned with pedagogical practices. At its core is AVA-Align, an agent framework that analyzes long classroom video recordings to…

Efficient Mixed-Precision Large Language Model Inference with TurboMind
Li Zhang, Youhe Jiang, Guoliang He, Xin Chen, Han Lv, Qian Yao, Fangcheng Fu, Kai Chen
https://arxiv.org/abs/2508.15601

Efficient Mixed-Precision Large Language Model Inference with TurboMind
Mixed-precision inference techniques reduce the memory and computational demands of Large Language Models (LLMs) by applying hybrid precision formats to model weights, activations, and KV caches. This work introduces mixed-precision LLM inference techniques that encompass (i) systematic memory and compute optimization across hierarchical storage and tensor core architectures, and (ii) comprehensive end-to-end mixed-precision optimization across diverse precision formats and hardware configurati…

Red Supergiants as Supernova Progenitors
Schuyler D. Van Dyk
https://arxiv.org/abs/2507.15973 https://arxiv.org/pdf/2507.15973…

Red Supergiants as Supernova Progenitors
The inevitable fate of massive stars in the initial mass range of ~8--30 M_{Sun} in the red supergiant (RSG) phase is a core-collapse supernova (SN) explosion, although some stars may collapse directly to a black hole. We know that this is the case, since RSGs have been directly identified and characterized for a number of supernovae (SNe) in pre-explosion archival optical and infrared images. RSGs likely all have some amount of circumstellar matter (CSM), through nominal mass loss, although ev…

CFDA & CLIP at TREC iKAT 2025: Enhancing Personalized Conversational Search via Query Reformulation and Rank Fusion
Yu-Cheng Chang, Guan-Wei Yeo, Quah Eugene, Fan-Jie Shih, Yuan-Ching Kuo, Tsung-En Yu, Hung-Chun Hsu, Ming-Feng Tsai, Chuan-Ju Wang
https://arxiv.org/abs/2509.15588

CFDA & CLIP at TREC iKAT 2025: Enhancing Personalized Conversational Search via Query Reformulation and Rank Fusion
The 2025 TREC Interactive Knowledge Assistance Track (iKAT) featured both interactive and offline submission tasks. The former requires systems to operate under real-time constraints, making robustness and efficiency as important as accuracy, while the latter enables controlled evaluation of passage ranking and response generation with pre-defined datasets. To address this, we explored query rewriting and retrieval fusion as core strategies. We built our pipelines around Best-of-$N$ selection a…

See&Trek: Training-Free Spatial Prompting for Multimodal Large Language Model
Pengteng Li, Pinhao Song, Wuyang Li, Weiyu Guo, Huizai Yao, Yijie Xu, Dugang Liu, Hui Xiong
https://arxiv.org/abs/2509.16087

See&Trek: Training-Free Spatial Prompting for Multimodal Large Language Model
We introduce SEE&TREK, the first training-free prompting framework tailored to enhance the spatial understanding of Multimodal Large Language Models (MLLMS) under vision-only constraints. While prior efforts have incorporated modalities like depth or point clouds to improve spatial reasoning, purely visualspatial understanding remains underexplored. SEE&TREK addresses this gap by focusing on two core principles: increasing visual diversity and motion reconstruction. For visual diversity, we con…

A Sparsity-Aware Autonomous Path Planning Accelerator with HW/SW Co-Design and Multi-Level Dataflow Optimization
Yifan Zhang, Xiaoyu Niu, Hongzheng Tian, Yanjun Zhang, Bo Yu, Shaoshan Liu, Sitao Huang
https://arxiv.org/abs/2507.16177

A Sparsity-Aware Autonomous Path Planning Accelerator with HW/SW Co-Design and Multi-Level Dataflow Optimization
Path planning is critical for autonomous driving, generating smooth, collision-free, feasible paths based on perception and localization inputs. However, its computationally intensive nature poses significant challenges for resource-constrained autonomous driving hardware. This paper presents an end-to-end FPGA-based acceleration framework targeting the quadratic programming (QP), core of optimization-based path planning. We employ a hardware-friendly alternating direction method of multipliers…

non-Singular Spacetime Cores via Gravitational Evanescence of Collapsing Matter
Antonio Panassiti
https://arxiv.org/abs/2509.17234 https://arxiv.org/pdf/25…

non-Singular Spacetime Cores via Gravitational Evanescence of Collapsing Matter
Modified Einstein's equations implementing both an energy-dependent Newtonian and cosmological constant can be obtained via a modified action characterised by a non-minimal gravity-matter coupling. We show how different dynamics for the high energy regime - that nevertheless have in common the vanishing of the Newton constant - result in models of gravitational collapse which source the formation of non-singular geometries with different types of asymptotic core: de Sitter, Minkowski, and with …

A Thick Volatile Atmosphere on the Ultra-Hot Super-Earth TOI-561 b
Johanna K. Teske, Nicole L. Wallack, Anjali A. A. Piette, Lisa Dang, Tim Lichtenberg, Mykhaylo Plotnykov, Raymond T. Pierrehumbert, Emma Postolec, Samuel Boucher, Alex McGinty, Bo Peng, Diana Valencia, Mark Hammond
https://arxiv.org/abs/2509.17231

A Thick Volatile Atmosphere on the Ultra-Hot Super-Earth TOI-561 b
Ultra-short period (USP) exoplanets -- with $R_p \leq 2~$R$_{\oplus}$ and periods $\leq$1 day -- are expected to be stripped of volatile atmospheres by intense host star irradiation, which is corroborated by their nominal bulk densities and previous eclipse observations consistent with bare rock surfaces. However, a few USP planets appear anomalously under-dense relative to an Earth-like composition, suggesting an exotic interior structure (e.g., core-less) or a volatile-rich secondary atmosphe…

Kernel-based Equalized Odds: A Quantification of Accuracy-Fairness Trade-off in Fair Representation Learning
Yijin Ni, Xiaoming Huo
https://arxiv.org/abs/2508.15084 https://

Kernel-based Equalized Odds: A Quantification of Accuracy-Fairness Trade-off in Fair Representation Learning
This paper introduces a novel kernel-based formulation of the Equalized Odds (EO) criterion, denoted as $EO_k$, for fair representation learning (FRL) in supervised settings. The central goal of FRL is to mitigate discrimination regarding a sensitive attribute $S$ while preserving prediction accuracy for the target variable $Y$. Our proposed criterion enables a rigorous and interpretable quantification of three core fairness objectives: independence (prediction $\hat{Y}$ is independent of $S$),…

Reasoning is about giving reasons
Krunal Shah, Dan Roth
https://arxiv.org/abs/2508.14488 https://arxiv.org/pdf/2508.14488

Reasoning is about giving reasons
Convincing someone of the truth value of a premise requires understanding and articulating the core logical structure of the argument which proves or disproves the premise. Understanding the logical structure of an argument refers to understanding the underlying "reasons" which make up the proof or disproof of the premise - as a function of the "logical atoms" in the argument. While it has been shown that transformers can "chain" rules to derive simple arguments, the challenge of articulating t…

FOGNITE: Federated Learning-Enhanced Fog-Cloud Architecture
Somayeh Sobati-M
https://arxiv.org/abs/2507.16668 https://arxiv.org/pdf/2…

FOGNITE: Federated Learning-Enhanced Fog-Cloud Architecture
Modern smart grids demand fast, intelligent, and energy-aware computing at the edge to manage real time fluctuations and ensure reliable operation. This paper introduces FOGNITE Fog-based Grid In intelligence with Neural Integration and Twin based Execution a next-generation fog cloud framework designed to enhance autonomy, resilience, and efficiency in distributed energy systems. FOGNITE combines three core components: federated learning, reinforcement learning, and digital twin validation. Ea…

DIO: Refining Mutual Information and Causal Chain to Enhance Machine Abstract Reasoning Ability
Ruizhuo Song, Beiming Yuan
https://arxiv.org/abs/2508.15387 https://

DIO: Refining Mutual Information and Causal Chain to Enhance Machine Abstract Reasoning Ability
Despite the outstanding performance of current deep learning models across various domains, their fundamental bottleneck in abstract reasoning remains unresolved. To address this challenge, the academic community has introduced Raven's Progressive Matrices (RPM) problems as an authoritative benchmark for evaluating the abstract reasoning capabilities of deep learning algorithms, with a focus on core intelligence dimensions such as abstract reasoning, pattern recognition, and complex problem-sol…

Exploring the properties of newborn pulsars with high-energy neutrinos
Zi-Zhuo Xiao, Gang Guo, Tuohuniyazi Tuniyazi
https://arxiv.org/abs/2507.16551 https:…

Exploring the properties of newborn pulsars with high-energy neutrinos
Newborn pulsars resulting from core-collapse supernovae (CCSNe) are promising sources of high-energy (HE) cosmic rays and neutrinos. In this work, we focus on HE neutrinos generated by interactions between protons accelerated in relativistic pulsar winds and SN ejecta. Using a binned likelihood analysis, we evaluate the detection prospects of these neutrinos with IceCube and explore their potential for probing the initial spin period ($P$) and magnetic field strength ($B$) of newborn pulsars. N…

Apple debuts its M5 chip, with a 10-core GPU, a Neural Accelerator in each core, enabling 4x the performance of M4, and a 10-core CPU with six efficiency cores (Hartley Charlton/MacRumors)
https://www.macrumors.com/2025/10/15/apple-unveils-m5-chip-with-n…

Apple Unveils M5 Chip With Next-Generation GPU
Apple today announced the M5 chip, its next-generation chip for the MacBook Pro, iPad Pro, and Vision Pro. From Apple's press release: Built...

Stellar evolution through the Red Supergiant phase
Sylvia Ekstr\"om, Cyril Georgy
https://arxiv.org/abs/2507.15960 https://arxiv…

Stellar evolution through the Red Supergiant phase
Massive stars less massive than ~30 Msol evolve into a red supergiant after the main sequence. Given a standard IMF, this means about 80% of all single massive stars will experience this phase. RSGs are dominated by convection, with a radius that may extend up to thousands of solar radii. Their low temperature and gravity make them prone to lose large amounts of masses, either through a pulsationally-driven wind or through mass-loss outburst. RSGs are the progenitors of the most common core-col…

Carbon-rich Sub-Neptune Interiors Are Compatible with JWST Observations
Zifan Lin, Sara Seager
https://arxiv.org/abs/2508.15117 https://arxiv.org/pdf/2508.…

Carbon-rich Sub-Neptune Interiors Are Compatible with JWST Observations
Many possible interior compositions exist for sub-Neptunes: ice-poor, ice-rich, and water-dominated interiors can all match the measured masses and radii. Motivated by recent theory of carbon-rich planet formation outside of the refractory organic carbon "soot line" and observations of carbon-rich protoplanetary disks around late M dwarfs, we propose another possible sub-Neptune composition: a carbon-rich composition consisting of an iron-silicate core, a carbon layer, and a hydrogen/helium-dom…

ExtraGS: Geometric-Aware Trajectory Extrapolation with Uncertainty-Guided Generative Priors
Kaiyuan Tan, Yingying Shen, Haohui Zhu, Zhiwei Zhan, Shan Zhao, Mingfei Tu, Hongcheng Luo, Haiyang Sun, Bing Wang, Guang Chen, Hangjun Ye
https://arxiv.org/abs/2508.15529

ExtraGS: Geometric-Aware Trajectory Extrapolation with Uncertainty-Guided Generative Priors
Synthesizing extrapolated views from recorded driving logs is critical for simulating driving scenes for autonomous driving vehicles, yet it remains a challenging task. Recent methods leverage generative priors as pseudo ground truth, but often lead to poor geometric consistency and over-smoothed renderings. To address these limitations, we propose ExtraGS, a holistic framework for trajectory extrapolation that integrates both geometric and generative priors. At the core of ExtraGS is a novel R…

Simulated 3D $^{56}$Ni Distributions of Type IIp Supernovae
David Vartanyan, Adam Burrows, Lizzy Teryoshin, Tianshu Wang, Daniel Kasen, Benny Tsang, Matthew S. B. Coleman
https://arxiv.org/abs/2509.16314

Simulated 3D $^{56}$Ni Distributions of Type IIp Supernovae
We present the first three-dimensional study of the asymptotic ejecta distributions for a suite of theoretical Type IIp supernovae originating from red supergiant progenitors. We simulate using the radiation-hydrodynamic code F{\sc{ornax}} from core bounce through the first seconds of the neutrino-driven explosion and then follow using a hydrodynamic variant of the code FLASH until shock breakout of the star and through to homologous expansion of the ejecta into the circumstellar environment. O…

Detection of young massive white dwarfs in core-collapsed globular cluster NGC 362
R. K. S. Yadav, Arvind K. Dattatrey, Annapurni Subramaniam, Geeta Rangwal, Ravi S. Singh
https://arxiv.org/abs/2508.12337

Detection of young massive white dwarfs in core-collapsed globular cluster NGC 362
Core-collapsed globular clusters are ideal targets to explore the presence of stellar collision products. Here, we have studied seventeen FUV bright white dwarf members in the globular cluster NGC 362 using data obtained from the Ultra Violet Imaging Telescope (UVIT) mounted on AstroSat and from HST. Multi-wavelength spectral energy distributions (SEDs) are analyzed using UV and optical data sets to characterize and determine the parameters of white dwarfs. Fourteen of the white dwarfs fit sing…

Intel legt 3,5 Jahre alte Prozessoren neu auf
Der Core 5 120(F) ist ein alter Bekannter. Er entspricht einem minimal beschleunigten Core i5-12400(F) für eine alte Plattform.
https://www.heise.de/…

Apple unveils the A19 chip, with a 6-core CPU and 5-core GPU, the A19 Pro, with a 6-core CPU and 6-core GPU, the N1 networking chip, and the C1X modem (Tom's Hardware)
https://www.tomshardware.com/tech-industry

Apple debuts A19 and A19 Pro processors for iPhone 17, iPhone Air, and iPhone 17 Pro
New phones, new chips, more cooling.

Verification of Cas A neutron star cooling rate using Chandra HRC-S observations
Jiaqi Zhao, Craig O. Heinke, Peter S. Shternin, Wynn Ho, Dmitry D. Ofengeim, Daniel Patnaude
https://arxiv.org/abs/2508.15161

Verification of Cas A neutron star cooling rate using Chandra HRC-S observations
The young neutron star (NS) in the Cassiopeia A (Cas A) supernova remnant is a fascinating test for theories of NS cooling. Chandra observations have indicated that its surface temperature is declining rapidly, about 2% per decade, using 20 years of data, if a uniform carbon atmosphere is assumed for the NS. This rapid decline may be caused by the neutrons in the NS core transitioning from a normal to a superfluid state. However, most of the Cas A NS observations were performed by the Chandra A…

Intel unveils Panther Lake, or Intel Core Ultra Series 3, the first chip built on its 18A process, coming to laptops and handhelds in late 2025 and early 2026 (Sean Hollister/The Verge)
https://www.theverge.com/report/797146/intel-…

Here is Panther Lake, Intel’s 2026 laptop chip with next-gen graphics
Intel’s Panther Lake, built on its 18A process, is the foundation of its next Intel Core Ultra Series 3 laptop chips. Here’s what we know.

Enhancing CTAO Monitoring and Alarm Subsystems in Distributed Environments Using ServiMon
Kevin Munari, Alessandro Costa, Federico Incardona, Emilio Mastriani, Sebastiano Spinello, Stefano Germani, Pietro Bruno
https://arxiv.org/abs/2509.16366

Enhancing CTAO Monitoring and Alarm Subsystems in Distributed Environments Using ServiMon
ServiMon is a scalable data collection and auditing pipeline designed for service-oriented, cost-efficient quality control in distributed environments, including the CTAO monitoring, logging, and alarm subsystems. Developed within a Docker-based architecture, it leverages cloud-native technologies and distributed computing principles to enhance system observability and reliability. At its core, ServiMon integrates key technologies such as Prometheus, Grafana, Kafka, and Cassandra. Prometheus se…

On Atomic Line Opacities for Modeling Astrophysical Radiative Transfer
Jonathan Morag
https://arxiv.org/abs/2509.17003 https://arxiv.org/pdf/2509.17003

On Atomic Line Opacities for Modeling Astrophysical Radiative Transfer
In astrophysics, line opacity is a primary source of uncertainty in theoretical calculations of radiative transfer. Much of this uncertainty is dominated by the inability to resolve the width and separation in frequency of sharp atomic transition lines, leading to the common use of approximate frequency-averaged treatments for the lines. In a previous paper, we calculated shock-cooling emission following explosions in core-collapse supernovae using a mult-group radiative transfer code, and comp…

Seeing Further on the Shoulders of Giants: Knowledge Inheritance for Vision Foundation Models
Jiabo Huang, Chen Chen, Lingjuan Lyu
https://arxiv.org/abs/2508.14707 https://

Seeing Further on the Shoulders of Giants: Knowledge Inheritance for Vision Foundation Models
Vision foundation models (VFMs) are predominantly developed using data-centric methods. These methods require training on vast amounts of data usually with high-quality labels, which poses a bottleneck for most institutions that lack both large-scale data and high-end GPUs. On the other hand, many open-source vision models have been pretrained on domain-specific data, enabling them to distill and represent core knowledge in a form that is transferable across diverse applications. Even though th…

Supernova Rates and Luminosity Functions from ASAS-SN II: 2014-2017 core-collapse supernovae and their subtypes
T. Pessi, D. D. Desai, J. L. Prieto, C. S. Kochanek, B. J. Shappee, J. P. Anderson, J. F. Beacom, Subo Dong, K. Z. Stanek, T. A. Thompson
https://arxiv.org/abs/2508.10985

Supernova Rates and Luminosity Functions from ASAS-SN II: 2014-2017 core-collapse supernovae and their subtypes
The volumetric rates and luminosity functions (LFs) of core-collapse supernovae (ccSN) and their subtypes are important for understanding the cosmic history of star formation and the buildup of ccSN products. To estimate these rates, we use data of nearby ccSNe discovered by the All-Sky Automated Survey for Supernovae (ASAS-SN) from 2014--2017, when all observations were made in the $V$-band. The sample is composed of 174 discovered or recovered events, with high spectroscopic completeness from…