Tootfinder

Micah Parsons injury update: Packers star edge rusher will play in limited capacity vs. Lions

https://www.cbssports.com/nfl/news/micah-par…

Regularity of the Capacity in Operator Scaling
Neal Bez, Anthony Gauvan, Hiroshi Tsuji
https://arxiv.org/abs/2508.02118 https://arxiv.org/pdf/2508.02118

Regularity of the Capacity in Operator Scaling
Completely positive operators are fundamental objects in quantum information theory and the capacity of such operators plays a pivotal role in the operator scaling algorithm. Using this algorithm, Garg--Gurvits--Oliveira--Wigderson recently established a certain quantitative continuity result for the capacity map at rational points. We show by different means that operator capacity possesses significantly greater regularity. Our argument gives local Hölder continuity at all points and rests on…

From Qubits to Qumodes: Information Capacity of Anyonic Excitations
Satish Prajapati
https://arxiv.org/abs/2509.03546 https://arxiv.org/pdf/2509.03546

From Qubits to Qumodes: Information Capacity of Anyonic Excitations
The interplay between quantum statistics and information encoding is a cornerstone of quantum physics. Here, the maximum information capacity of a quantum state governed by Haldane's exclusion statistics is derived. The capacity, defined by the maximum von Neumann entropy of its occupancy distribution, follows S_max(g) = log2(\lfloor 1/g \rfloor + 1). This result continuously interpolates between the fermionic limit of a single qubit (g = 1) and the bosonic limit of a continuous-variable qumode…

🌞 Solar power capacity additions in China doubled year-on-year to 212 gigawatts, with total capacity at the end of H1 increasing a whopping 54% year on year
[Post by @laurimyllyvirta on Bluesky]
That's more than the whole world installed in the full year 2021.

Health secretary Robert F. Kennedy Jr. on Tuesday announced that the government’s emergency preparedness agency ❌ will no longer fund work on messenger RNA vaccines,
🆘delivering a crippling blow to the country’s capacity to develop vaccines during the next pandemic or public health emergency.

Kennedy said the "Biomedical Advanced Research and Development Authority", better known as BARDA,
was terminating 22 grants supporting development of mRNA vaccines
because “…

Health secretary RFK Jr. shuts door on U.S. investment in mRNA vaccine research
Vaccine experts and people steeped in pandemic preparedness expressed horror at the news that RFK Jr. has shut the door in U.S. investment in mRNA vaccine research.

It is worth reading this week’s European Commission's recommendations on network tariffs. Like the German NRA, they warn that a simple exemption from network tariffs as exists in Germany for large batteries is not a solution.
From: @…

Clean Energy Wire (@CLEW@mastodon.energy)
Attached: 1 image Network operators call for slowing Germany's grid battery boom Requests for large-scale batteries far exceed realistic demand, available grid capacity, operator says https://www.cleanenergywire.org/news/german-network-operators-call-slowing-grid-battery-boom

High-Capacity and Real-Time Acoustic Communication by Multiplexing Velocity
Lei Liu, Xiujuan Zhang, Ming-Hui Lu, Yan-Feng Chen
https://arxiv.org/abs/2508.03010 https://

High-Capacity and Real-Time Acoustic Communication by Multiplexing Velocity
Acoustic communication is indispensable for underwater networks, deep ocean exploration, and biological monitoring, environments where electromagnetic waves become impractical. However, unlike the latter, whose vector polarization naturally supports multiple information channels, acoustic waves are longitudinal and have traditionally relied almost exclusively on a single scalar pressure channel, posing a fundamental limit on their data-carrying capacity. Here, we theoretically and experimentall…

Analytical Framework for Evaluating Traffic Capacity Impacts of Electric Vehicles' Regenerative Braking Dynamics
Yuhang Wang, Md. Zidan Shahriar, Hao Zhou
https://arxiv.org/abs/2508.01938

Analytical Framework for Evaluating Traffic Capacity Impacts of Electric Vehicles' Regenerative Braking Dynamics
Regenerative braking (RB) significantly influences electric vehicle (EV) car-following (CF) dynamics, yet traditional traffic-flow models rarely capture these effects. We introduce a comprehensive empirical dataset comprising 197.5 hours of driving data from 25 drivers across eight EV models to systematically investigate regen-induced CF behaviors. Two primary CF patterns emerge: (i) steady-state scenarios where EVs use regenerative braking and subsequently re-accelerate to equilibrium speeds w…

Jan. 6 Rioter Gets Life In Prison For FBI Assassination Plot
https://www.newsweek.com/jan-6-rioter-gets-life-prison-fbi-assassination-plot-what-know-2094064

Jan. 6 Rioter Gets Life In Prison For FBI Assassination Plot: What To Know
"Edward Kelley is remorseless and has shown neither a capacity nor desire to rehabilitate," said the prosecution.

Modified Unruh Thermodynamics in Emergent Gravity: Finite Heat Capacity and R\'enyi Entropy
F. Barzi, H. El Moumni, K. Masmar
https://arxiv.org/abs/2509.03470 https://

Modified Unruh Thermodynamics in Emergent Gravity: Finite Heat Capacity and Rényi Entropy
We show that Jacobson's thermodynamic derivation of Einstein's equations remains valid when local Rindler horizons are treated as finite heat-capacity systems, resolving the unphysical infinite-bath assumption of standard Unruh thermodynamics. The resulting entropy takes the form of Rényi entropy with nonextensivity parameter $λ\sim C^{-1}$, or equivalently, a new "Einstein entropy" that exactly preserves the Einstein equations for all heat capacities. In both cases, the Unruh temperature is …

Cognitive Loop via In-Situ Optimization: Self-Adaptive Reasoning for Science
Newman Cheng, Gordon Broadbent, William Chappell
https://arxiv.org/abs/2508.02789 https://

Cognitive Loop via In-Situ Optimization: Self-Adaptive Reasoning for Science
The capacity for artificial intelligence (AI) to formulate, evolve, and test altered thought patterns under dynamic conditions indicates advanced cognition that is crucial for scientific discovery. The existing AI development landscape falls into two categories: 1) frameworks over non-reasoning models that natively incorporate opinions on how humans think, and 2) reasoning models that abstract precise control of the reasoning intuition away from end users. While powerful, for scientists to maxi…

VP wants examples of how we are "5x-ing our capacity" with AI, in a remarkable display of top-down wishful thinking
even supposing this were possible
any projects that are currently 5x beyond our capacity are _not being done_

Pay What LLM Wants: Can LLM Simulate Economics Experiment with 522 Real-human Persona?
Junhyuk Choi, Hyeonchu Park, Haemin Lee, Hyebeen Shin, Hyun Joung Jin, Bugeun Kim
https://arxiv.org/abs/2508.03262

Pay What LLM Wants: Can LLM Simulate Economics Experiment with 522 Real-human Persona?
Recent advances in Large Language Models (LLMs) have generated significant interest in their capacity to simulate human-like behaviors, yet most studies rely on fictional personas rather than actual human data. We address this limitation by evaluating LLMs' ability to predict individual economic decision-making using Pay-What-You-Want (PWYW) pricing experiments with real 522 human personas. Our study systematically compares three state-of-the-art multimodal LLMs using detailed persona informati…

Draw Your Mind: Personalized Generation via Condition-Level Modeling in Text-to-Image Diffusion Models
Hyungjin Kim, Seokho Ahn, Young-Duk Seo
https://arxiv.org/abs/2508.03481 h…

Draw Your Mind: Personalized Generation via Condition-Level Modeling in Text-to-Image Diffusion Models
Personalized generation in T2I diffusion models aims to naturally incorporate individual user preferences into the generation process with minimal user intervention. However, existing studies primarily rely on prompt-level modeling with large-scale models, often leading to inaccurate personalization due to the limited input token capacity of T2I diffusion models. To address these limitations, we propose DrUM, a novel method that integrates user profiling with a transformer-based adapter to enab…

An RGB-D Camera-Based Multi-Small Flying Anchors Control for Wire-Driven Robots Connecting to the Environment
Shintaro Inoue, Kento Kawaharazuka, Keita Yoneda, Sota Yuzaki, Yuta Sahara, Temma Suzuki, Kei Okada
https://arxiv.org/abs/2508.02544

An RGB-D Camera-Based Multi-Small Flying Anchors Control for Wire-Driven Robots Connecting to the Environment
In order to expand the operational range and payload capacity of robots, wire-driven robots that leverage the external environment have been proposed. It can exert forces and operate in spaces far beyond those dictated by its own structural limits. However, for practical use, robots must autonomously attach multiple wires to the environment based on environmental recognition-an operation so difficult that many wire-driven robots remain restricted to specialized, pre-designed environments. Here,…

I continue to be astounded by the capacity humans hold to be cruel to others.
In history, in the modern day. Every era had its own share of absurd callousness and pain inflicted on living beings for very little reason.

Orbital angular momentum of entangled photons as a probe for relativistic effects
Fazilah Nothlawala, Kiki Dekkers, Moslem Mahdavifar, Jonathan Leach, Andrew Forbes, Isaac Nape
https://arxiv.org/abs/2508.01716

Orbital angular momentum of entangled photons as a probe for relativistic effects
Orbital angular momentum (OAM) as both classical and quantum states of light has proven essential in numerous applications, from high-capacity information transfer to enhanced precision and accuracy in metrology. Here, we extend OAM metrology to relativistic scenarios to determine the Lorentz factor of a moving reference frame, exploiting the fact that OAM is not Lorentz invariant. Using OAM correlations of entangled states, we show that their joint OAM spectrum is modified by length contractio…

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice
Yuanpeng Li, Qi Long, Zhiyuan Yao, Jian Xu, Lintao Xie, Xu He, Lu Geng, Xin Han, Yueyan Chen, Wenbo Duan
https://arxiv.org/abs/2508.03487

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice
As enterprise codebases continue to grow in scale and complexity, the volume of lint errors far exceeds engineers' manual remediation capacity, leading to continuous accumulation of technical debt and hindered development efficiency. This paper presents BitsAI-Fix, an automated lint error remediation workflow based on Large Language Models (LLMs), designed to address this critical challenge in industrial-scale environments. BitsAI-Fix employs tree-sitter for context expansion and generates sear…

Capacity Planning and Scheduling for Jobs with Uncertainty in Resource Usage and Duration
Sunandita Patra, Mehtab Pathan, Mahmoud Mahfouz, Parisa Zehtabi, Wided Ouaja, Daniele Magazzeni, Manuela Veloso
https://arxiv.org/abs/2507.01225

Capacity Planning and Scheduling for Jobs with Uncertainty in Resource Usage and Duration
Organizations around the world schedule jobs (programs) regularly to perform various tasks dictated by their end users. With the major movement towards using a cloud computing infrastructure, our organization follows a hybrid approach with both cloud and on-prem servers. The objective of this work is to perform capacity planning, i.e., estimate resource requirements, and job scheduling for on-prem grid computing environments. A key contribution of our approach is handling uncertainty in both re…

On the Utility of Virtual Staining for Downstream Applications as it relates to Task Network Capacity
Sourya Sengupta, Jianquan Xu, Phuong Nguyen, Frank J. Brooks, Yang Liu, Mark A. Anastasio
https://arxiv.org/abs/2508.00164

On the Utility of Virtual Staining for Downstream Applications as it relates to Task Network Capacity
Virtual staining, or in-silico-labeling, has been proposed to computationally generate synthetic fluorescence images from label-free images by use of deep learning-based image-to-image translation networks. In most reported studies, virtually stained images have been assessed only using traditional image quality measures such as structural similarity or signal-to-noise ratio. However, in biomedical imaging, images are typically acquired to facilitate an image-based inference, which we refer to …

Super high capacity of silicon carbon anode over 6500 mAh g-1 for lithium battery
Shisheng Lin, Minhui Yang, Zhuang Zhao, Mingjia Zhi, Xiaokai Bai
https://arxiv.org/abs/2507.02704

Super high capacity of silicon carbon anode over 6500 mAh g-1 for lithium battery
As silicon is approaching its theoretical limit for the anode materials in lithium battery, searching for a higher limit is indispensable. Herein, we demonstrate the possible of achieving ultrahigh capacity over 6500 mAh g-1 in silicon-carbon composites. Considering the numerous defects inside the silicon nanostructures, it is deduced the formation of quasi-Bose Einstein condensation should be possible, which can lead to the low viscosity flow of lithium-ions through the anode. At a charge-disc…

Information Rates of Approximate Message Passing for Bandlimited Direct-Detection Channels
Daniel Plabst, Mohamed Akrout, Amine Mezghani, Gerhard Kramer
https://arxiv.org/abs/2508.01438

Information Rates of Approximate Message Passing for Bandlimited Direct-Detection Channels
The capacity of bandlimited direct-detection channels is difficult to compute or approach because of the receiver nonlinearity. A generalized vector approximate message passing (GVAMP) detector is designed to achieve high rates with reasonable complexity. The rates increase by using multi-level coding and successive interference cancellation. The methods are applied to optical fiber channels with long intersymbol interference, as encountered in practice. Bipolar modulation operates within 0.3 b…

RoboLinker: A Diffusion-model-based Matching Clothing Generator Between Humans and Companion Robots
Jing Tang, Qing Xiao, Kunxu Du, Zaiqiao Ye
https://arxiv.org/abs/2508.01165 h…

RoboLinker: A Diffusion-model-based Matching Clothing Generator Between Humans and Companion Robots
We present RoboLinker, a generative design system that creates matching outfits for humans and their robots. Using a diffusion-based model, the system takes a robot image and a style prompt from users as input, and outputs a human outfit that visually complements the robot's attire. Through an interactive interface, users can refine the generated designs. We evaluate RoboLinker with both humanoid and pet-like robots, demonstrating its capacity to produce stylistically coherent and emotionally r…

Capacity Planning in Stable Matching with Truthful or Strategic Preference Uncertainty
Maria Bazotte, Margarida Carvalho, Thibaut Vidal
https://arxiv.org/abs/2506.22560

Capacity Planning in Stable Matching with Truthful or Strategic Preference Uncertainty
Recent studies on many-to-one matching markets have explored agents with flexible capacity and truthful preference reporting, focusing on mechanisms that jointly design capacities and select a matching. However, in real-world applications such as school choice and residency matching, preferences are revealed after capacity decisions are made, with matching occurring afterward; uncertainty about agents' preferences must be considered during capacity planning. Moreover, even under strategy-proof …

Binary Hypothesis Testing-Based Low-Complexity Beamspace Channel Estimation for mmWave Massive MIMO Systems
Hanyoung Park, Ji-Woong Choi
https://arxiv.org/abs/2508.01007 https:/…

Binary Hypothesis Testing-Based Low-Complexity Beamspace Channel Estimation for mmWave Massive MIMO Systems
Millimeter-wave (mmWave) communications have gained attention as a key technology for high-capacity wireless systems, owing to the wide available bandwidth. However, mmWave signals suffer from their inherent characteristics such as severe path loss, poor scattering, and limited diffraction, which necessitate the use of large antenna arrays and directional beamforming, typically implemented through massive MIMO architectures. Accurate channel estimation is critical in such systems, but its compu…

"Wind, solar, and batteries are cheap. They are the fastest and most cost effective way to bring on new power generation [batteries: generation??]. However they are not cheaper than the great mass of incumbent capacity."
Paywalled so I've only read the first paras.
https://www.coldeye.earth/p/next-steps

Next Steps
Monday 4 August 2025

It is important to recognize how horribly *NORMAL* that is.
It's only in the past century or so that humans have had any capacity to fight infection, because we had no idea how it worked until the mid-19thC, even though we had rudimentary Smallpox vaccination (and 'variolation') earlier. We didn't have safe and effective drugs to fight *any* infection until the 20thC and didn't have useful antivirals until the 1990s.
In a sense, we're all spoiled by mode…

Clayton Cubitt (@claytoncubitt.bsky.social)
That "summer cold" you have? It's COVID. You've got COVID. It's a fact and it's still ripping through the world completely unrestrained.

Faster Algorithm for Second (s,t)-mincut and Breaking Quadratic barrier for Dual Edge Sensitivity for (s,t)-mincut
Surender Baswana, Koustav Bhanja, Anupam Roy
https://arxiv.org/abs/2507.01366

Faster Algorithm for Second (s,t)-mincut and Breaking Quadratic barrier for Dual Edge Sensitivity for (s,t)-mincut
We study (s,t)-cuts of second minimum capacity and present the following algorithmic and graph-theoretic results. 1. Vazirani and Yannakakis [ICALP 1992] designed the first algorithm for computing an (s,t)-cut of second minimum capacity using $O(n^2)$ maximum (s,t)-flow computations. For directed integer-weighted graphs, we significantly improve this bound by designing an algorithm that computes an $(s,t)$-cut of second minimum capacity using $O(\sqrt{n})$ maximum (s,t)-flow computations w.h.…

Integrating Upstream Supply Chains into Generation Expansion Planning
Boyu Yao, Andrey Bernstein, Yury Dvorkin
https://arxiv.org/abs/2508.03001 https://arx…

Integrating Upstream Supply Chains into Generation Expansion Planning
Rising electricity demand underscores the need for secure and reliable generation expansion planning that accounts for upstream supply chain constraints. Traditional models often overlook limitations in materials, manufacturing capacity, lead times for deployment, and field availability, which can delay availability of planned resources and thus to threaten system reliability. This paper introduces a multi-stage supply chain-constrained generation expansion planning (SC-GEP) model that optimize…

Climate-protecting carbon sinks of EU forests are declining #EU

Climate-protecting carbon sinks of EU forests are declining
Forests cover about 40% of the EU's land area. Between 1990 and 2022, they absorbed around 10% of the continent's man-made carbon emissions. However, the carbon dioxide absorption capacity of forests, also known as carbon sinks, is becoming increasingly weaker.

Great work by Maarten Staats to make all available grid hosting capacity maps in Europe accessible via one website. What started with the simple question: why doesn't this exist yet is now here via the bookmarkable URL https://www.gridcapacitymaps.eu

European Grid Capacity Maps
Interactive Open Access tool showcasing European electricity grid capacity resources with supply maps, demand maps, and simplified view for energy transition professionals.

A note on the c-monotonicity in optimal transport with capacity constraints
Dongwei Chen
https://arxiv.org/abs/2508.20428 https://arxiv.org/pdf/2508.20428

A note on the c-monotonicity in optimal transport with capacity constraints
This paper studies the geometry of the optimizer for the optimal transport problem with capacity constraints. We introduce the concept of c-capacity monotonicity, which is a generalization of c-cyclical monotonicity in optimal transport. We show that the optimizer of the optimal transport problem with capacity constraints is c-capacity monotone.

Additive Manufacturing of PEEK/Lunar Regolith Composites for Sustainable Lunar Manufacturing
Mohammad Azami, Pierre-Lucas Aubin-Fournier, Mehdi Hojjati, Krzysztof Skonieczny
https://arxiv.org/abs/2508.00894

Additive Manufacturing of PEEK/Lunar Regolith Composites for Sustainable Lunar Manufacturing
As humanity advances toward long-term lunar presence under NASA's Artemis program, the development of lunar-based manufacturing and construction (LBMC) capabilities has become increasingly critical. The high cost of transporting materials from Earth makes in-situ resource utilization (ISRU) essential, with lunar regolith serving as a promising local feedstock. Additive manufacturing (AM) offers a compelling platform for LBMC due to its geometric flexibility, material efficiency, and capacity fo…

What Would an LLM Do? Evaluating Policymaking Capabilities of Large Language Models
Pierre Le Coz, Jia An Liu, Debarun Bhattacharjya, Georgina Curto, Serge Stinckwich
https://arxiv.org/abs/2509.03827

What Would an LLM Do? Evaluating Policymaking Capabilities of Large Language Models
Large language models (LLMs) are increasingly being adopted in high-stakes domains. Their capacity to process vast amounts of unstructured data, explore flexible scenarios, and handle a diversity of contextual factors can make them uniquely suited to provide new insights for the complexity of social policymaking. This article evaluates whether LLMs' are aligned with domain experts (and among themselves) to inform social policymaking on the subject of homelessness alleviation - a challenge affec…

The first group of immigrants has arrived at a new concentration camp deep in the Florida Everglades that officials have cynically dubbed “Alligator Alcatraz”
The facility, at an abandoned airport, will have an initial capacity of about 3,000 detainees, DeSantis said.
The center was built in eight days and features more than 200 security cameras,
28,000-plus feet of barbed wire and 400 security personnel

First immigration detainees arrive at Florida center in the Everglades
The first group of immigrants has arrived at a new detention center deep in the Florida Everglades that officials have dubbed “Alligator Alcatraz.” Florida Republican Attorney General James Uthmeier said on social media Wednesday that “hundreds” of immigration detainees were to arrive at the center. Republican Gov. Ron DeSantis says the facility will have a capacity of about 3,000 detainees when fully operational. The center was built in eight days and features more than 200 security ca…

As much as this scratches the cool itch (and I wish I had a laptop that had a usb-c power-in connection), I can't keep from thinking we're all eventually going to be like Tony Stark in that cave (pre-mark1 suit) lugging that car battery around.
https://fed.brid.g…

SlashByte (@slashbyte.bsky.social)
Featuring a 24,000mAh capacity and 140W max fast charging, keep your devices powered during long trips or heavy use with the Anker 737 Power Bank. Buy it now: amzn.to/4m7dh80 #Tech #Android #Apple #Technology #Travel #News #SocialMedia #Mastodon #Fediverse

If your headphone product starts beeping and complaining and interrupting the audio to bark 'CHARGE ME!' at 20% charge, then the product only actually has 80% of its claimed battery capacity

SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks
Xinyu Xiong, Zihuang Wu, Lei Zhang, Lei Lu, Ming Li, Guanbin Li
https://arxiv.org/abs/2508.03566

SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks
Recent studies have highlighted the potential of adapting the Segment Anything Model (SAM) for various downstream tasks. However, constructing a more powerful and generalizable encoder to further enhance performance remains an open challenge. In this work, we propose SAM2-UNeXT, an advanced framework that builds upon the core principles of SAM2-UNet while extending the representational capacity of SAM2 through the integration of an auxiliary DINOv2 encoder. By incorporating a dual-resolution st…

Microsoft's latest 10-K shows that the company's committed datacenter construction is down YoY, with almost no new leases signed in the past 12 months (@semianalysis_)
https://x.com/semianalysis_/status/1950999038867730764

SemiAnalysis (@SemiAnalysis_) on X
Microsoft datacenter strategy – still in⏸️mode 🧵 @JeremieEO Four months ago we flagged Microsoft’s pause on more than 1.5 GW of self-build capacity — on top of the leasing freeze we called out in December. Microsoft’s latest 10-K backs us up: committed datacenter construction

Inverse IFEval: Can LLMs Unlearn Stubborn Training Conventions to Follow Real Instructions?
Qinyan Zhang, Xinping Lei, Ruijie Miao, Yu Fu, Haojie Fan, Le Chang, Jiafan Hou, Dingling Zhang, Zhongfei Hou, Ziqiang Yang, Changxin Pu, Fei Hu, Jingkai Liu, Mengyun Liu, Yang Liu, Xiang Gao, Jiaheng Liu, Tong Yang, Zaiyuan Wang, Ge Zhang, Wenhao Huang
https://

Inverse IFEval: Can LLMs Unlearn Stubborn Training Conventions to Follow Real Instructions?
Large Language Models (LLMs) achieve strong performance on diverse tasks but often exhibit cognitive inertia, struggling to follow instructions that conflict with the standardized patterns learned during supervised fine-tuning (SFT). To evaluate this limitation, we propose Inverse IFEval, a benchmark that measures models Counter-intuitive Abilitytheir capacity to override training-induced biases and comply with adversarial instructions. Inverse IFEval introduces eight types of such challenges, …

Russia cannot launch 500 drones every day, Ukraine's intel chief says: https://benborges.xyz/2025/07/02/russia-cannot-launch-drones-every.html

"India achieves 50% clean power capacity five years ahead of target"
#India #Renewables #Energy

India achieves 50% clean power capacity five years ahead of target
India reached 484.82 GW of total installed power capacity as of June 30, 2025, with 242.8 GW from non-fossil fuel sources, including 8.8 GW nuclear, 49.4 GW hydro, and 184.6 GW from renewable energy.

A note on Sobolev-Lorentz Capacity and Hausdorff measure
Daniel Campbell
https://arxiv.org/abs/2506.22042 https://arxiv.org/pdf/2506.…

A note on Sobolev-Lorentz Capacity and Hausdorff measure
In this paper we give an elementary proof that sets of zero $p,1$-Sobolev-Lorentz capacity $\mathcal{H}^{n-p}$-null sets independently of non-linear potential theory. We further show that there exists a set of Sobolev-Lorentz-$(p,1)$ capacity equal zero with Hausdorff dimension equal $n-p$.

MaXsive: High-Capacity and Robust Training-Free Generative Image Watermarking in Diffusion Models
Po-Yuan Mao, Cheng-Chang Tsai, Chun-Shien Lu
https://arxiv.org/abs/2507.21195 h…

MaXsive: High-Capacity and Robust Training-Free Generative Image Watermarking in Diffusion Models
The great success of the diffusion model in image synthesis led to the release of gigantic commercial models, raising the issue of copyright protection and inappropriate content generation. Training-free diffusion watermarking provides a low-cost solution for these issues. However, the prior works remain vulnerable to rotation, scaling, and translation (RST) attacks. Although some methods employ meticulously designed patterns to mitigate this issue, they often reduce watermark capacity, which c…

Machine Learning-Driven Performance Analysis of Compressed Communication in Aerial-RIS Networks for Future 6G Networks
Muhammad Farhan Khan, Muhammad Ahmed Mohsin, Zeeshan Alam, Muhammad Saad, Muhammad Waqar
https://arxiv.org/abs/2508.01911

Machine Learning-Driven Performance Analysis of Compressed Communication in Aerial-RIS Networks for Future 6G Networks
In the future 6G and wireless networks, particularly in dense urban environments, bandwidth exhaustion and limited capacity pose significant challenges to enhancing data rates. We introduce a novel system model designed to improve the data rate of users in next-generation multi-cell networks by integrating Unmanned Aerial Vehicle (UAV)-Assisted Reconfigurable Intelligent Surfaces (RIS), Non-Orthogonal Multiple Access (NOMA), and Coordinated Multipoint Transmission (CoMP). Optimally deploying Ae…

Train of thought:
Ukraine is destroying Russian refinery infrastructure. https://euromaidanpress.com/2025/08/26/ukraine-knocks-out-17-of-russias-oil-capacity-and-thats-just-this-month-reuters-says/
…

Ukraine knocks out 17% of Russia’s oil capacity — and that’s just this month, Reuters says - Euromaidan Press
Moscow’s energy security unravels as Ukraine escalates long-range attacks on its most vulnerable assets.

Near-Field Communication with Massive Movable Antennas: A Functional Perspective
Shicong Liu, Xianghao Yu, Jie Xu, Rui Zhang
https://arxiv.org/abs/2508.01201 https://

Near-Field Communication with Massive Movable Antennas: A Functional Perspective
The advent of massive multiple-input multiple-output (MIMO) technology has provided new opportunities for capacity improvement via strategic antenna deployment, especially when the near-field effect is pronounced due to antenna proliferation. In this paper, we investigate the optimal antenna placement for maximizing the achievable rate of a point-to-point near-field channel, where the transmitter is deployed with massive movable antennas. First, we propose a novel design framework to explore th…

Amplifying Effective CXL Memory Bandwidth for LLM Inference via Transparent Near-Data Processing
Rui Xie, Asad Ul Haq, Linsen Ma, Yunhua Fang, Zirak Burzin Engineer, Liu Liu, Tong Zhang
https://arxiv.org/abs/2509.03377

Amplifying Effective CXL Memory Bandwidth for LLM Inference via Transparent Near-Data Processing
Large language model (LLM) inference is bottlenecked by the limited bandwidth of CXL-based memory used for capacity expansion. We introduce CXL-NDP, a transparent near-data processing architecture that amplifies effective CXL bandwidth without requiring changes to the CXL.mem interface or AI models. CXL-NDP integrates a precision-scalable bit-plane layout for dynamic quantization with transparent lossless compression of weights and KV caches directly within the CXL device. In end-to-end serving…

AutoDrive-R$^2$: Incentivizing Reasoning and Self-Reflection Capacity for VLA Model in Autonomous Driving
Zhenlong Yuan, Jing Tang, Jinguo Luo, Rui Chen, Chengxuan Qian, Lei Sun, Xiangxiang Chu, Yujun Cai, Dapeng Zhang, Shuo Li
https://arxiv.org/abs/2509.01944

AutoDrive-R$^2$: Incentivizing Reasoning and Self-Reflection Capacity for VLA Model in Autonomous Driving
Vision-Language-Action (VLA) models in autonomous driving systems have recently demonstrated transformative potential by integrating multimodal perception with decision-making capabilities. However, the interpretability and coherence of the decision process and the plausibility of action sequences remain largely underexplored. To address these issues, we propose AutoDrive-R$^2$, a novel VLA framework that enhances both reasoning and self-reflection capabilities of autonomous driving systems thr…

ANSC: Probabilistic Capacity Health Scoring for Datacenter-Scale Reliability
Madhava Gaikwad, Abhishek Gandhi
https://arxiv.org/abs/2508.16119 https://arxi…

ANSC: Probabilistic Capacity Health Scoring for Datacenter-Scale Reliability
We present ANSC, a probabilistic capacity health scoring framework for hyperscale datacenter fabrics. While existing alerting systems detect individual device or link failures, they do not capture the aggregate risk of cascading capacity shortfalls. ANSC provides a color-coded scoring system that indicates the urgency of issues \emph{not solely by current impact, but by the probability of imminent capacity violations}. Our system accounts for both current residual capacity and the probability o…

This is welcome from #Burnham.
(Warning 15 cookies)
'Greater Manchester mayor Andy Burnham hit out, saying the decision would help “overheat” the economy. He warned: “It’s a model for an ever-overheating UK economy rather than a more balanced, levelled-up economy, which is what we would argue for. Manchester Airport has two runways and it doesn’t operate at full capacity.”'

Labour split over backing for Heathrow expansion with Reeves set to give her support
Chancellor Rachel Reeves is expected to voice her support for a third runway at Heathrow despite opposition from cabinet collegue Ed Miliband and London mayor Sadiq Khan

V.I.P. : Iterative Online Preference Distillation for Efficient Video Diffusion Models
Jisoo Kim, Wooseok Seo, Junwan Kim, Seungho Park, Sooyeon Park, Youngjae Yu
https://arxiv.org/abs/2508.03254

V.I.P. : Iterative Online Preference Distillation for Efficient Video Diffusion Models
With growing interest in deploying text-to-video (T2V) models in resource-constrained environments, reducing their high computational cost has become crucial, leading to extensive research on pruning and knowledge distillation methods while maintaining performance. However, existing distillation methods primarily rely on supervised fine-tuning (SFT), which often leads to mode collapse as pruned models with reduced capacity fail to directly match the teacher's outputs, ultimately resulting in de…

Secure Energy Efficient Wireless Transmission: A Finite v/s Infinite-Horizon RL Solution
Shalini Tripathi, Ankur Bansal, Holger Claussen, Lester Ho, Chinmoy Kundu
https://arxiv.org/abs/2508.02447

Secure Energy Efficient Wireless Transmission: A Finite v/s Infinite-Horizon RL Solution
In this paper, a joint optimal allocation of transmit power at the source and jamming power at the destination is proposed to maximize the average secrecy energy efficiency (SEE) of a wireless network within a finite time duration. The destination transmits the jamming signal to improve secrecy by utilizing full-duplex capability. The source and destination both have energy harvesting (EH) capability with limited battery capacity. Due to the Markov nature of the system, the problem is formulate…

Nemori: Self-Organizing Agent Memory Inspired by Cognitive Science
Jiayan Nan, Wenquan Ma, Wenlong Wu, Yize Chen
https://arxiv.org/abs/2508.03341 https://a…

Nemori: Self-Organizing Agent Memory Inspired by Cognitive Science
Large Language Models (LLMs) demonstrate remarkable capabilities, yet their inability to maintain persistent memory in long contexts limits their effectiveness as autonomous agents in long-term interactions. While existing memory systems have made progress, their reliance on arbitrary granularity for defining the basic memory unit and passive, rule-based mechanisms for knowledge extraction limits their capacity for genuine learning and evolution. To address these foundational limitations, we pr…

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification
Rudi Coppola, Hovsep Touloujian, Pierfrancesco Ombrini, Manuel Mazo Jr
https://arxiv.org/abs/2509.04288

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification
Rechargeable lithium-ion (Li-ion) batteries are a ubiquitous element of modern technology. In the last decades, the production and design of such batteries and their adjacent embedded charging and safety protocols, denoted by Battery Management Systems (BMS), has taken central stage. A fundamental challenge to be addressed is the trade-off between the speed of charging and the ageing behavior, resulting in the loss of capacity in the battery cell. We rely on a high-fidelity physics-based batter…

The effect of dephasing and spin-lattice relaxation during the switching processes in quantum antiferromagnets
Asliddin Khudoyberdiev, G\"otz S. Uhrig
https://arxiv.org/abs/2508.00430

The effect of dephasing and spin-lattice relaxation during the switching processes in quantum antiferromagnets
The control of antiferromagnetic order can pave the way to large storage capacity as well as fast manipulation of stored data. Here achieving a steady-state of sublattice magnetization after switching is crucial to prevent loss of stored data. The present theoretical approach aims to obtain instantaneous stable states of the order after reorienting the Néel vector in open quantum antiferromagnets using time-dependent Schwinger boson mean-field theory. The Lindblad formalism is employed to coup…

Trump’s budget reconciliation bill could reduce the speed of your Wi-Fi | The Verge
https://www.theverge.com/news/694479/senate-bill-reduce-capacity-6ghz-wifi-band

A Framework for a Comprehensive National Future Readiness Index
Ali Qassim Jawad, Xavier Sala-i-Martin
https://arxiv.org/abs/2509.00755 https://arxiv.org/p…

A Framework for a Comprehensive National Future Readiness Index
This paper introduces the Index of Future Readiness (IFR), a novel framework for assessing a country's capacity to withstand, adapt to, and prosper within an environment of continuous and accelerating change. The framework builds on the classical distinction, first emphasized in economic discourse by Robert E. Lucas Jr. in the 1970s, between temporary shocks, which call for economic resilience, and permanent shocks, which require adaptive capacity. The IFR applies a whole-of-society perspective…

Can AI be Auditable?
Himanshu Verma, Kirtan Path, Eva Thelisson
https://arxiv.org/abs/2509.00575 https://arxiv.org/pdf/2509.00575

Can AI be Auditable?
Auditability is defined as the capacity of AI systems to be independently assessed for compliance with ethical, legal, and technical standards throughout their lifecycle. The chapter explores how auditability is being formalized through emerging regulatory frameworks, such as the EU AI Act, which mandate documentation, risk assessments, and governance structures. It analyzes the diverse challenges facing AI auditability, including technical opacity, inconsistent documentation practices, lack of…

An alternative approach to the phonon theory of liquids: Evolution of the energy of diffusion
M. Y. Esmer, Bahtiyar A. Mamedov
https://arxiv.org/abs/2507.02121

An alternative approach to the phonon theory of liquids: Evolution of the energy of diffusion
With regard to the three basic states of matter (solid, liquid, gas), the calculation of the heat capacity of liquids in a general form has been considered one of the deepest and most interesting challenges in condensed matter physics, due to the strong, system-specific interactions involved. Notwithstanding the theoretical difficulties, there have recently been significant advances in our understanding of liquids, and the phonon theory of liquids has been proposed. However, this theory uses th…

A Brain-Inspired Gating Mechanism Unlocks Robust Computation in Spiking Neural Networks
Qianyi Bai, Haiteng Wang, Qiang Yu
https://arxiv.org/abs/2509.03281 https://

A Brain-Inspired Gating Mechanism Unlocks Robust Computation in Spiking Neural Networks
While spiking neural networks (SNNs) provide a biologically inspired and energy-efficient computational framework, their robustness and the dynamic advantages inherent to biological neurons remain significantly underutilized owing to oversimplified neuron models. In particular, conventional leaky integrate-and-fire (LIF) neurons often omit the dynamic conductance mechanisms inherent in biological neurons, thereby limiting their capacity to cope with noise and temporal variability. In this work,…

Four-channel Imaging Based on Reconfigurable Metasurfaces: Hyperchaotic Encryption under Physical Protection
Yifan Li, Yuhan Yang, Qiegen Liu, Shuyuan Xiao, Tingting Liu
https://arxiv.org/abs/2509.03453

Four-channel Imaging Based on Reconfigurable Metasurfaces: Hyperchaotic Encryption under Physical Protection
Metasurfaces facilitate high-capacity optical information integration by simultaneously supporting near-field nanoprinting and far-field holography on a single platform. However, conventional multi-channel designs face critical security vulnerabilities for sensitive information due to insufficient encryption mechanisms. In this work, we propose a four-channel phase-change metasurface featuring algorithm-physical co-security-a dual-protection framework combining intrinsic metasurface physical se…

Heat Capacity and the Violation of Scaling Laws in Gravitational System
Shi-Bei Kong
https://arxiv.org/abs/2507.20992 https://arxiv.org/pdf/2507.20992

Heat Capacity and the Violation of Scaling Laws in Gravitational System
In this paper, we examine the scaling laws in gravitational system from the perspective of free energy landscape. It has been found that for some special black holes, their critical exponents are beyond mean field theory, and more surprisingly violate the scaling laws. We find that the main reason for the violation of the scaling laws is that the heat capacity at constant volume for these black holes is 0, so the critical exponent $α$ is often treated as 0 and can not be derived from the scali…

Ecofash like to claim that the earth is over its human carrying capacity. That's absolutely untrue for 99.9% of the population or so. But the carrying capacity of billionaires is zero.

Design of RIS-UAV-Assisted LEO Satellite Constellation Communication
Wenfei Yao, Xiaoming Chen, Qi Wang, Xingyu Peng
https://arxiv.org/abs/2509.04136 https://

Design of RIS-UAV-Assisted LEO Satellite Constellation Communication
Low Earth orbit (LEO) satellite constellations play a pivotal role in sixth-generation (6G) wireless networks by providing global coverage, massive connections, and huge capacity. In this paper, we present a novel LEO satellite constellation communication framework, where a reconfigurable intelligent surface-mounted unmanned aerial vehicle (RIS-UAV) is deployed to improve the communication quality of multiple terrestrial user equipments (UEs) under the condition of long distance between satelli…

AdamMeme: Adaptively Probe the Reasoning Capacity of Multimodal Large Language Models on Harmfulness
Zixin Chen, Hongzhan Lin, Kaixin Li, Ziyang Luo, Zhen Ye, Guang Chen, Zhiyong Huang, Jing Ma
https://arxiv.org/abs/2507.01702

AdamMeme: Adaptively Probe the Reasoning Capacity of Multimodal Large Language Models on Harmfulness
The proliferation of multimodal memes in the social media era demands that multimodal Large Language Models (mLLMs) effectively understand meme harmfulness. Existing benchmarks for assessing mLLMs on harmful meme understanding rely on accuracy-based, model-agnostic evaluations using static datasets. These benchmarks are limited in their ability to provide up-to-date and thorough assessments, as online memes evolve dynamically. To address this, we propose AdamMeme, a flexible, agent-based evalua…

Daring project by my former colleague @…, in his spare time: compiling a European grid capacity (scarcity) map! https://www.gridcapacitymaps.eu/
Still …

Capacity, which uses AI to automate contact center support, raised $92.6M, including a $42.6M Series D and $50M in debt, bringing its total raised to $155M (Kay Aloha Villamor/The SaaS News)
https://www.thesaasnews.com/news/capacity-raises-over-92-6-million-in-…

Capacity Raises Over $92.6 Million in Funding | The SaaS News
Capacity Raises Over $92.6 Million in Funding

ModFus-DM: Explore the Representation in Modulated Signal Diffusion Generated Models
Haoyue Tan, Yu Li, Zhenxi Zhang, Xiaoran Shi, Feng Zhou
https://arxiv.org/abs/2508.01719 htt…

ModFus-DM: Explore the Representation in Modulated Signal Diffusion Generated Models
Automatic modulation classification (AMC) is essential for wireless communication systems in both military and civilian applications. However, existing deep learning-based AMC methods often require large labeled signals and struggle with non-fixed signal lengths, distribution shifts, and limited labeled signals. To address these challenges, we propose a modulation-driven feature fusion via diffusion model (ModFus-DM), a novel unsupervised AMC framework that leverages the generative capacity of …

Proposal for High-Dimensional Entanglement Swapping with Linear Optics and Ancillary Photons
Baghdasar Baghdasaryan, Kaushik Joarder, Fabian Steinlechner
https://arxiv.org/abs/2509.02817

Proposal for High-Dimensional Entanglement Swapping with Linear Optics and Ancillary Photons
Quantum teleportation and entanglement swapping are fundamental building blocks for realizing global quantum networks. Both protocols have been extensively studied and experimentally demonstrated using two-dimensional qubit systems. Their implementation in high-dimensional (HD) systems offers significant advantages, such as enhanced noise resilience, greater robustness against eavesdropping, and increased information capacity. Generally, HD photonic entanglement swapping requires ancilla photon…

49ers star George Kittle 'would love to' join WWE in some capacity once he retires from NFL

https://www.cbssports.com/nfl/news/49ers-s

A learning model predictive control for virtual coupling in railroads
Miguel A. Vaquero-Serrano, Francesco Borrelli, Jesus Felez
https://arxiv.org/abs/2507.02383

A learning model predictive control for virtual coupling in railroads
The objective of this paper is to present a novel intelligent train control system for virtual coupling in railroads based on a Learning Model Predictive Control (LMPC). Virtual coupling is an emerging railroad technology that reduces the distance between trains to increase the capacity of the line, whereas LMPC is an optimization-based controller that incorporates artificial intelligence methods to improve its control policies. By incorporating data from past experiences into the optimization …

Sequence Reconstruction over Coloring Channels for Protein Identification
Jessica Bariffi, Antonia Wachter-Zeh, Eitan Yaakobi
https://arxiv.org/abs/2508.02229 https://

Sequence Reconstruction over Coloring Channels for Protein Identification
This paper studies the sequence reconstruction problem for a channel inspired by protein identification. We introduce a coloring channel, where a sequence is transmitted through a channel that deletes all symbols not belonging to a fixed subset (the coloring) of the alphabet. By extending this to a coloring profile, a tuple of distinct colorings, we analyze the channel's information rate and capacity. We prove that optimal (i.e., achieving maximum information rate) coloring profiles correspond …

It is just INSANE that the GOP is going to 🆘 tax new solar and wind capacity,
as well as a whole bunch of other terrible energy policies in the BBB,
when electricity prices have risen 20% since start of 2022,
and the grid is ever more fragile.
Prepare for a lot of rolling blackouts.
https://…

Ukrainian strikes disrupt around 17% of Russia’s oil refining capacity, Reuters reports: https://benborges.xyz/2025/08/26/ukrainian-strikes-disrupt-around-of.html

System-performance and cost modeling of Large Language Model training and inference
Wenzhe Guo, Joyjit Kundu, Uras Tos, Weijiang Kong, Giuliano Sisto, Timon Evenblij, Manu Perumkunnil
https://arxiv.org/abs/2507.02456

System-performance and cost modeling of Large Language Model training and inference
Large language models (LLMs), based on transformer architectures, have revolutionized numerous domains within artificial intelligence, science, and engineering due to their exceptional scalability and adaptability. However, the exponential growth in LLM size and complexity has outpaced advancements in compute capacity, memory bandwidth, network performance, and cost efficiency, posing significant challenges to their scalability on distributed systems. To address these limitations, alternative m…

Energy Efficient Trajectory Control and Resource Allocation in Multi-UAV-assisted MEC via Deep Reinforcement Learning
Saichao Liu, Geng Sun, Chuang Zhang, Xuejie Liu, Jiacheng Wang, Changyuan Zhao, Dusit Niyato
https://arxiv.org/abs/2508.00261

Energy Efficient Trajectory Control and Resource Allocation in Multi-UAV-assisted MEC via Deep Reinforcement Learning
Mobile edge computing (MEC) is a promising technique to improve the computational capacity of smart devices (SDs) in Internet of Things (IoT). However, the performance of MEC is restricted due to its fixed location and limited service scope. Hence, we investigate an unmanned aerial vehicle (UAV)-assisted MEC system, where multiple UAVs are dispatched and each UAV can simultaneously provide computing service for multiple SDs. To improve the performance of system, we formulated a UAV-based trajec…

"Largest UK solar plant goes online"
#UK #UnitedKingdom #SolarPower #Energy

Largest UK solar plant goes online
The 373 MW Cleve Hill Solar Park is now exporting 100% of its capacity to the grid. Under construction, co-located energy storage to come online at a later date. The project has broken UK records for financing and offtake agreements, according to developer Quinbrook.

Because firing the head of BLS for reporting bad numbers will cascade through the BLS, *ending* our capacity for trustworthy numbers. Lacking a commonly agreed-upon set of facts, markets will be more volatile and every loan will have a higher interest rate because of the uncertainty.
Inequity of information is terrible for markets. https://

Point3R: Streaming 3D Reconstruction with Explicit Spatial Pointer Memory
Yuqi Wu, Wenzhao Zheng, Jie Zhou, Jiwen Lu
https://arxiv.org/abs/2507.02863 https…

Point3R: Streaming 3D Reconstruction with Explicit Spatial Pointer Memory
Dense 3D scene reconstruction from an ordered sequence or unordered image collections is a critical step when bringing research in computer vision into practical scenarios. Following the paradigm introduced by DUSt3R, which unifies an image pair densely into a shared coordinate system, subsequent methods maintain an implicit memory to achieve dense 3D reconstruction from more images. However, such implicit memory is limited in capacity and may suffer from information loss of earlier frames. We …

How AI has transformed data center design, with concerns about overspending on AI infrastructure, sparked by DeepSeek, fading amid the ongoing building frenzy (Financial Times)
https://ig.ft.com/ai-data-centres/

Inside the relentless race for AI capacity
The quest for superintelligence is spurring a data centre boom — but critics question the cost, environmental impact and whether it is all needed

Getting Dynamic Line Ratings into Markets
Zhiyi Zhou, Christoph Graf, Yury Dvorkin
https://arxiv.org/abs/2507.00826 https://arxiv.org…

Getting Dynamic Line Ratings into Markets
Static transmission line ratings may lead to underutilization of line capacity due to overly conservative (worst-case) assumptions. Grid-enhancing technologies (GETs) such as dynamic line ratings (DLRs), which adjust line capacity based on real-time conditions, are a techno-economically viable alternative to increase the utilization of existing power lines. Nonetheless, their adoption has been slow, partly due to the absence of operational tools that effectively account for simultaneous impacts…

Overlapping IPv4, IPv6, and TCP data: exploring errors, test case context and multiple overlaps inside network stacks and NIDSes with PYROLYSE
Lucas Aubard, Johan Mazel, Gilles Guette, Pierre Chifflier
https://arxiv.org/abs/2508.00735

Overlapping IPv4, IPv6, and TCP data: exploring errors, test case context and multiple overlaps inside network stacks and NIDSes with PYROLYSE
IP fragmentation and TCP segmentation allow for splitting large data packets into smaller ones, e.g., for transmission across network links of limited capacity. These mechanisms permit complete or partial overlaps with different data on the overlapping portions. IPv4, IPv6, and TCP reassembly policies, i.e., the data chunk preferences that depend on the overlap types, differ across protocol implementations. This leads to vulnerabilities, as NIDSes may interpret the packet differently from the m…

Another stellar blog from Axle Energy explaining how EVs actually make electricity cheaper (when charged smart)
#SmartCharging

Complex Heat Capacity as a Witness of Spatio-Temporal Entanglement
Mia Stamatova, Vlatko Vedral
https://arxiv.org/abs/2508.15728 https://arxiv.org/pdf/2508…

Complex Heat Capacity as a Witness of Spatio-Temporal Entanglement
We propose a novel witness of temporal quantum entanglement using the imaginary component of the complex heat capacity - a measurable thermodynamic quantity in temperature-modulated calorimetry. By establishing a direct correspondence between complex heat capacity and the pseudo-density matrix formalism, our approach enables the characterisation of both spatial and temporal quantum correlations without demanding additional state-level manipulation beyond initial tomography. We analytically demo…

DeepSeek performs better than other Large Language Models in Dental Cases
Hexian Zhang, Xinyu Yan, Yanqi Yang, Lijian Jin, Ping Yang, Junwen Wang
https://arxiv.org/abs/2509.02036

DeepSeek performs better than other Large Language Models in Dental Cases
Large language models (LLMs) hold transformative potential in healthcare, yet their capacity to interpret longitudinal patient narratives remains inadequately explored. Dentistry, with its rich repository of structured clinical data, presents a unique opportunity to rigorously assess LLMs' reasoning abilities. While several commercial LLMs already exist, DeepSeek, a model that gained significant attention earlier this year, has also joined the competition. This study evaluated four state-of-the…

Multibeam High Throughput Satellite: Hardware Foundation, Resource Allocation, and Precoding
Rui Chen, Wen-Xuan Long, Bing-Qian Wang, Yuan He, Rui-Jin Sun, Nan Cheng, Gan Zheng, Dusit Niyato
https://arxiv.org/abs/2508.00800

Multibeam High Throughput Satellite: Hardware Foundation, Resource Allocation, and Precoding
With its wide coverage and uninterrupted service, satellite communication is a critical technology for next-generation 6G communications. High throughput satellite (HTS) systems, utilizing multipoint beam and frequency multiplexing techniques, enable satellite communication capacity of up to Tbps to meet the growing traffic demand. Therefore, it is imperative to review the-state-of-the-art of multibeam HTS systems and identify their associated challenges and perspectives. Firstly, we summarize …

Re-evaluating LLM-based Heuristic Search: A Case Study on the 3D Packing Problem
Guorui Quan, Mingfei Sun, Manuel L\'opez-Ib\'a\~nez
https://arxiv.org/abs/2509.02297 htt…

Re-evaluating LLM-based Heuristic Search: A Case Study on the 3D Packing Problem
The art of heuristic design has traditionally been a human pursuit. While Large Language Models (LLMs) can generate code for search heuristics, their application has largely been confined to adjusting simple functions within human-crafted frameworks, leaving their capacity for broader innovation an open question. To investigate this, we tasked an LLM with building a complete solver for the constrained 3D Packing Problem. Direct code generation quickly proved fragile, prompting us to introduce t…

Enhancing Power Flow Estimation with Topology-Aware Gated Graph Neural Networks
Shrenik Jadhav, Birva Sevak, Srijita Das, Wencong Su, Van-Hai Bui
https://arxiv.org/abs/2507.02078 …

Enhancing Power Flow Estimation with Topology-Aware Gated Graph Neural Networks
Accurate and scalable surrogate models for AC power flow are essential for real-time grid monitoring, contingency analysis, and decision support in increasingly dynamic and inverter-dominated power systems. However, most existing surrogates fall short of practical deployment due to their limited capacity to capture long-range nonlinear dependencies in meshed transmission networks and their weak enforcement of physical laws. These models often require extensive hyperparameter tuning, exhibit poo…

Cambridge, UK-based Paragraf, which makes graphene-based electronics using standard semiconductor processes, raised a $55M Series C to scale its manufacturing (Tamara Djurickovic/Tech.eu)
https://tech.eu/2025/08/25/paragraf-closes-55m-series-c-funding-round/…

Paragraf closes $55M Series C funding round
Paragraf, the UK-based company leading the way in mass-producing graphene-based electronics using industry-standard semiconductor processes, has completed a $55 million Series C funding round. The funding will speed up the scaling of Paragraf’s manufacturing capabilities and increase production capacity, paving the way for graphene electronics to enter mass markets.Paragraf’s technology fits smoothly into the existing semiconductor ecosystem, offering customers ready-to-use solutions…

Rewarding Explainability in Drug Repurposing with Knowledge Graphs
Susana Nunes, Samy Badreddine, Catia Pesquita
https://arxiv.org/abs/2509.02276 https://a…

Rewarding Explainability in Drug Repurposing with Knowledge Graphs
Knowledge graphs (KGs) are powerful tools for modelling complex, multi-relational data and supporting hypothesis generation, particularly in applications like drug repurposing. However, for predictive methods to gain acceptance as credible scientific tools, they must ensure not only accuracy but also the capacity to offer meaningful scientific explanations. This paper presents a novel approach REx, for generating scientific explanations based in link prediction in knowledge graphs. It employs r…

Predicting Locations of Cell Towers for Network Capacity Expansion
Sowmiyan Morri, Joy Bose, L Raghunatha Reddy, Sai Hareesh Anamandra
https://arxiv.org/abs/2507.19925 https://

Predicting Locations of Cell Towers for Network Capacity Expansion
Network capacity expansion is a critical challenge for telecom operators, requiring strategic placement of new cell sites to ensure optimal coverage and performance. Traditional approaches, such as manual drive tests and static optimization, often fail to consider key real-world factors including user density, terrain features, and financial constraints. In this paper, we propose a machine learning-based framework that combines deep neural networks for signal coverage prediction with spatial cl…

General Signal Model and Capacity Limit for Rydberg Quantum Information System
Jieao Zhu, Linglong Dai
https://arxiv.org/abs/2506.23455 https://

General Signal Model and Capacity Limit for Rydberg Quantum Information System
Rydberg atomic receivers represent a transformative approach to achieving high-sensitivity, broadband, and miniaturized radio frequency (RF) reception. However, existing static signal models for Rydberg atomic receivers rely on the steady-state assumption of atomic quantum states, which cannot fully describe the signal reception process of dynamic signals. To fill in this gap, in this paper, we present a general model to compute the dynamic signal response of Rydberg atomic receivers in closed …

On Secrecy Capacity of Binary Beampointing Channels with Block Memory and Feedback
Siyao Li, Mingzhe Chen, Shuangyang Li, Giuseppe Caire
https://arxiv.org/abs/2508.20980 https:/…

On Secrecy Capacity of Binary Beampointing Channels with Block Memory and Feedback
This paper investigates the secrecy capacity of the binary beampointing (BBP) channel with block memory and feedback, a simplified yet insightful model for millimeter-wave (mmWave) systems with beamformed transmissions and backscatter feedback. We consider a system where a legitimate receiver and a passive eavesdropper experience independent and uniformly distributed angular directions over transmission blocks, with the base station receiving noiseless, unit-delayed feedback from both, under th…

MiCoTA: Bridging the Learnability Gap with Intermediate CoT and Teacher Assistants
Dongyi Ding, Tiannan Wang, Chenghao Zhu, Meiling Tao, Yuchen Eleanor Jiang, Wangchunshu Zhou
https://arxiv.org/abs/2507.01887

MiCoTA: Bridging the Learnability Gap with Intermediate CoT and Teacher Assistants
Large language models (LLMs) excel at reasoning tasks requiring long thought sequences for planning, reflection, and refinement. However, their substantial model size and high computational demands are impractical for widespread deployment. Yet, small language models (SLMs) often struggle to learn long-form CoT reasoning due to their limited capacity, a phenomenon we refer to as the "SLMs Learnability Gap". To address this, we introduce \textbf{Mi}d-\textbf{Co}T \textbf{T}eacher \textbf{A}ssist…

Poset-Markov Channels: Capacity via Group Symmetry
Eray Unsal Atay, Eitan Levin, Venkat Chandrasekaran, Victoria Kostina
https://arxiv.org/abs/2506.19305 h…

Poset-Markov Channels: Capacity via Group Symmetry
Computing channel capacity is in general intractable because it is given by the limit of a sequence of optimization problems whose dimensionality grows to infinity. As a result, constant-sized characterizations of feedback or non-feedback capacity are known for only a few classes of channels with memory. This paper introduces poset-causal channels$\unicode{x2014}$a new formalism of a communication channel in which channel inputs and outputs are indexed by the elements of a partially ordered set…

An Optimal Transport-Based Method for Computing LM Rate and Its Convergence Analysis
Shitong Wu, Wenhao Ye, Xinwei Li, Lingyi Chen, Wenyi Zhang, Huihui Wu, Hao Wu
https://arxiv.org/abs/2507.20129

An Optimal Transport-Based Method for Computing LM Rate and Its Convergence Analysis
The mismatch capacity characterizes the highest information rate of the channel under a prescribed decoding metric and serves as a critical performance indicator in numerous practical communication scenarios. Compared to the commonly used Generalized Mutual Information (GMI), the Lower bound on the Mismatch capacity (LM rate) generally provides a tighter lower bound on the mismatch capacity. However, the efficient computation of the LM rate is significantly more challenging than that of the GMI…

Polar Coding and Linear Decoding
Geraldo A. Barbosa
https://arxiv.org/abs/2507.19695 https://arxiv.org/pdf/2507.19695…

Polar Coding and Linear Decoding
Polar encoding, described by Arikan in IEEE Transactions on Information Theory, Vol. 55, No. 7, July 2009, was a milestone for telecommunications. A Polar code distributes information among high and low-capacity channels, showing the possibility of achieving perfect channel capacity. The high-capacity channels allow almost noiseless transmission of data. When these channels are not high noise, reliability is achieved in the signal transmission. It starts to compete against codes such a Low-Dens…