Tootfinder

New units of the 17th Army Corps appears: https://benborges.xyz/2025/07/05/new-units-of-the-th.html

Ranking every NFL offensive line: Kyle Long sorts all 32 blocking units by tiers; Bills, Eagles among elite

https://www.cbssports.com/nfl/news/ra…

'There will be 1,000 units per day' — Ukrainian commander warns of increased Russian Shahed drone attacks: https://benborges.xyz/2025/07/04/there-will-be-units-per.html

Mattel combines its film and television production units into a single unit under the direction of Mattel Films president and Barbie producer Robbie Brenner (Jeremy Fuster/The Wrap)
https://www.thewrap.com/mattel-combines-film-tv-units-under-robbie-bren…

Mattel Combines Film, TV Units Under Robbie Brenner
The exec and "Barbie" producer will be president and chief content officer of the unified company

"Strada is seeking to use state housing laws that will both streamline approvals for the development and allow for denser construction — in exchange for the inclusion of affordable units.""
Yes, inclusion of affordable units at a lower rate than San Francisco's existing inclusionary requirements, and well below the level of induced demand per SF Planning's Residential Nexus studies. In other words, it creates even more stress in the affordable housing segment.…

SoMa housing plan ‘encouraging’ to boosters
Proposal would develop long-vacant lot.

"Strada is seeking to use state housing laws that will both streamline approvals for the development and allow for denser construction — in exchange for the inclusion of affordable units.""
Yes, inclusion of affordable units at a lower rate than San Francisco's existing inclusionary requirements, and well below the level of induced demand per SF Planning's Residential Nexus studies. In other words, it creates even more stress in the affordable housing segment.…

SoMa housing plan ‘encouraging’ to boosters
Proposal would develop long-vacant lot.

Bringing Interpretability to Neural Audio Codecs
Samir Sadok, Julien Hauret, \'Eric Bavu
https://arxiv.org/abs/2506.04492 https://

Bringing Interpretability to Neural Audio Codecs
The advent of neural audio codecs has increased in popularity due to their potential for efficiently modeling audio with transformers. Such advanced codecs represent audio from a highly continuous waveform to low-sampled discrete units. In contrast to semantic units, acoustic units may lack interpretability because their training objectives primarily focus on reconstruction performance. This paper proposes a two-step approach to explore the encoding of speech information within the codec tokens…

Nintendo launches the Switch 2 globally, with long queues outside stores and midnight openings; analysts expect Nintendo to sell 15M to 20M Switch 2 units (David Keohane/Financial Times)
https://www.ft.com/content/f63cfbcc-9d0e-440e-ad9a-02d01d328f93

Nintendo sells out Switch 2 console at global launch
Mario fans queue at midnight store openings after games company apologises for failing to meet pre-order demand

Nonlinear Causal Discovery for Grouped Data
Konstantin G\"obler, Tobias Windisch, Mathias Drton
https://arxiv.org/abs/2506.05120 https://

Nonlinear Causal Discovery for Grouped Data
Inferring cause-effect relationships from observational data has gained significant attention in recent years, but most methods are limited to scalar random variables. In many important domains, including neuroscience, psychology, social science, and industrial manufacturing, the causal units of interest are groups of variables rather than individual scalar measurements. Motivated by these applications, we extend nonlinear additive noise models to handle random vectors, establishing a two-step …

Knowledge-Guided Attention-Inspired Learning for Task Offloading in Vehicle Edge Computing
Ke Ma, Junfei Xie
https://arxiv.org/abs/2506.04456 https://

Knowledge-Guided Attention-Inspired Learning for Task Offloading in Vehicle Edge Computing
Vehicle edge computing (VEC) brings abundant computing resources close to vehicles by deploying them at roadside units (RSUs) or base stations, thereby enabling diverse computation-intensive and delay sensitive applications. Existing task offloading strategies are often computationally expensive to execute or generate suboptimal solutions. In this paper, we propose a novel learning-based approach, Knowledge-guided Attention-inspired Task Offloading (KATO), designed to efficiently offload tasks …

Oversight Structures for Agentic AI in Public-Sector Organizations
Chris Schmitz, Jonathan Rystr{\o}m, Jan Batzner
https://arxiv.org/abs/2506.04836 https:/…

Oversight Structures for Agentic AI in Public-Sector Organizations
This paper finds that the introduction of agentic AI systems intensifies existing challenges to traditional public sector oversight mechanisms -- which rely on siloed compliance units and episodic approvals rather than continuous, integrated supervision. We identify five governance dimensions essential for responsible agent deployment: cross-departmental implementation, comprehensive evaluation, enhanced security protocols, operational visibility, and systematic auditing. We evaluate the capaci…

This https://arxiv.org/abs/2505.08421 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAR_…

e-GPU: An Open-Source and Configurable RISC-V Graphic Processing Unit for TinyAI Applications
Graphics processing units (GPUs) excel at parallel processing, but remain largely unexplored in ultra-low-power edge devices (TinyAI) due to their power and area limitations, as well as the lack of suitable programming frameworks. To address these challenges, this work introduces embedded GPU (e-GPU), an open-source and configurable RISC-V GPU platform designed for TinyAI devices. Its extensive configurability enables area and power optimization, while a dedicated Tiny-OpenCL implementation pro…

Bilevel Optimization for Improved Flexibility Aggregation Models of Electric Vehicle Fleets
Philipp H\"artel, Michael von Bonin
https://arxiv.org/abs/2506.04843

Bilevel Optimization for Improved Flexibility Aggregation Models of Electric Vehicle Fleets
Electric vehicle (EV) fleets are expected to become an increasingly important source of flexibility for power system operations. However, accurately capturing the flexibility potential of numerous and heterogeneous EVs remains a significant challenge. We propose a bilevel optimization formulation to enhance flexibility aggregations of electric vehicle fleets. The outer level minimizes scheduling deviations between the aggregated and reference EV units, while the inner level maximizes the aggreg…

Ground-source heat pumps are far more efficient than air-source but can cost 5-10 times more in up-front installation. Air-source units have dramatically improved in the past 15 years and are as easy to install as a traditional A/C unit that sits beside your house. And, if my research is correct and my HVAC salesperson can be trusted, heat pumps can be 10% to 30% cheaper to operate.

Federated Learning Assisted Edge Caching Scheme Based on Lightweight Architecture DDPM
Xun Li, Qiong Wu
https://arxiv.org/abs/2506.04593 https://

Federated Learning Assisted Edge Caching Scheme Based on Lightweight Architecture DDPM
Edge caching is an emerging technology that empowers caching units at edge nodes, allowing users to fetch contents of interest that have been pre-cached at the edge nodes. The key to pre-caching is to maximize the cache hit percentage for cached content without compromising users' privacy. In this letter, we propose a federated learning (FL) assisted edge caching scheme based on lightweight architecture denoising diffusion probabilistic model (LDPM). Our simulation results verify that our propo…

Complexity in the Wake of Artificial Intelligence
Theodore Modis
https://arxiv.org/abs/2506.04269 https://arxiv.org/pdf/2506.04269

Complexity in the Wake of Artificial Intelligence
This study aims to evaluate quantitatively, albeit in arbitrary units, the evolution of complexity of the human system since the domestication of fire. This is made possible by studying the timing of the 14 most important milestones, breaks in historical perspective, in the evolution of humans. AI is considered here as the latest such milestone with importance comparable to that of the Internet. The complexity is modeled to have evolved along a bell-shaped curve, reaching a maximum around our t…

Algebraic approximations to linear combinations of S-units
Parvathi S Nair, Veekesh Kumar, S. S. Rout
https://arxiv.org/abs/2506.02898 https://

Algebraic approximations to linear combinations of S-units
Let $Γ\subset \bar{\mathbb{Q}}^{\times}$ be a finitely generated multiplicative group of algebraic numbers, let $α_1,\ldots,α_m\in K$ be given algebraic numbers and not all zero, and let $\varepsilon >0$ be fixed. In this paper, we prove that there exist only finitely many tuples $(u_1, \ldots, u_m, q, p)\in Γ^m\times\mathbb{Z}^2$ with $d = [\mathbb{Q}(u_1, \ldots, u_m):\mathbb{Q}]$ such that $\max\{|α_1 qu_1|, \ldots, |α_m qu_m|\}>1$, the tuple $(α_1qu_1, \ldots, α_…

This https://arxiv.org/abs/2403.15582 has been replaced.
initial toot: https://mastoxiv.page/@…

Fast real-time arbitrary waveform generation using graphic processing units
Real-time arbitrary waveform generation (AWG) is essential in various engineering and research applications. This paper introduces a novel AWG architecture using an NVIDIA graphics processing unit (GPU) and a commercially available high-speed digital-to-analog converter (DAC) card, both running on a desktop personal computer (PC). The GPU accelerates the "embarrassingly" data-parallel additive synthesis framework for AWG, and the DAC reconstructs the generated waveform in the analog domain at h…

This https://arxiv.org/abs/2210.03905 has been replaced.
link: https://scholar.google.com/scholar?q=a

Empirical Bayes Selection for Value Maximization
We study the problem of selecting the best $m$ units from a set of $n$ as $m / n \to α\in (0, 1)$, where noisy, heteroskedastic measurements of the units' true values are available and the decision-maker wishes to maximize the aggregate true value of the units selected. Given a parametric prior distribution, the empirical Bayes decision rule incurs $O_p(n^{-1})$ regret relative to the Bayesian oracle that knows the true prior. More generally, if the error in the estimated prior is of order $O_…

SkimROOT: Accelerating LHC Data Filtering with Near-Storage Processing
Narangerelt Batsoyol, Jonathan Guiang, Diego Davila, Aashay Arora, Philip Chang, Frank W\"urthwein, Steven Swanson
https://arxiv.org/abs/2506.04507

SkimROOT: Accelerating LHC Data Filtering with Near-Storage Processing
Data analysis in high-energy physics (HEP) begins with data reduction, where vast datasets are filtered to extract relevant events. At the Large Hadron Collider (LHC), this process is bottlenecked by slow data transfers between storage and compute nodes. To address this, we introduce SkimROOT, a near-data filtering system leveraging Data Processing Units (DPUs) to accelerate LHC data analysis. By performing filtering directly on storage servers and returning only the relevant data, SkimROOT min…

Nintendo says it didn't send any Switch 2 review units to outlets as "important features and updates" will only be available via an update on its June 5 launch (Andy Robinson/Video Games Chronicle)
https://www.

It’s official: There are no Nintendo Switch 2 reviews. Here’s what that means for us, and you | VGC
Nintendo’s decision not to facilitate pre-launch Switch 2 reviews is disappointing news for everyone…

A Tale of Two Shocks
Robert F. Wimmer-Schweingruber, Domenico Trotta, Rungployphan Kieokaew, Liu Yang, Alexander Kollhoff, Lars Berger, Patrick K\"uhl, Stephan I. B\"ottcher, Bernd Heber, Philippe Louarn, Andrey Fedorov, Javier Rodriguez-Pacheco, Ra\'ul G\'omez-Herrero, Francisco Espinosa Lara, Ignacio Cernuda, Yulia Kartavykh, Linghua Wang, George C. Ho, Robert C. Allen, Glenn M. Mason, Zheyi Ding, Andrea Larosa, G. Sindhuja, Sandra Eldrum, Sebastian Fleth, David Lar…

A Tale of Two Shocks
It was the best of times, it was the worst of times, . . . - for the thermal/suprathermal particle populations in the vicinity of two traveling interplanetary shocks observed by Solar Orbiter on 2023-11-29 07:51:17 UTC and 2023-11-30 10:47:26 UTC at $\sim 0.83$ astronomical units from the Sun. We investigate these two very dissimilar shocks and elucidate their non-equilibrium features. We do not provide explanations of all observed features, our aim is to report them here for future reference…

@… :
Units with <3 bedrooms are bad and should not be built, because children don't live in them.
Units with 3 bedrooms are bad and should not be built, because children will live in them.
@slowbikeiain.bsky.social :
Low cost housing is bad because it will attract the wrong sor…

This https://arxiv.org/abs/2505.17662 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Automating Versatile Time-Series Analysis with Tiny Transformers on Embedded FPGAs
Transformer-based models have shown strong performance across diverse time-series tasks, but their deployment on resource-constrained devices remains challenging due to high memory and computational demand. While prior work targeting Microcontroller Units (MCUs) has explored hardware-specific optimizations, such approaches are often task-specific and limited to 8-bit fixed-point precision. Field-Programmable Gate Arrays (FPGAs) offer greater flexibility, enabling fine-grained control over data …

hope this will lead to lots of garages and driveways being eliminated!
https://missionlocal.org/2025/07/sf-adu-condos-in-laws/

S.F. passes law to let homeowners sell new in-law units as condos
The legislation aims to benefit "house-rich, cash-poor" homeowners, while adding to the city's supply of "affordable, entry-level" homes.

Towards Better Disentanglement in Non-Autoregressive Zero-Shot Expressive Voice Conversion
Seymanur Akti, Tuan Nam Nguyen, Alexander Waibel
https://arxiv.org/abs/2506.04013

Towards Better Disentanglement in Non-Autoregressive Zero-Shot Expressive Voice Conversion
Expressive voice conversion aims to transfer both speaker identity and expressive attributes from a target speech to a given source speech. In this work, we improve over a self-supervised, non-autoregressive framework with a conditional variational autoencoder, focusing on reducing source timbre leakage and improving linguistic-acoustic disentanglement for better style transfer. To minimize style leakage, we use multilingual discrete speech units for content representation and reinforce embeddi…

Ukraine strikes key Russian plant producing Shahed UAV warheads: https://benborges.xyz/2025/07/04/ukraine-strikes-key-russian-plant.html

A Note on Flexion Units
Hanamichi Kawamura
https://arxiv.org/abs/2506.22825 https://arxiv.org/pdf/2506.22825

A Note on Flexion Units
This article is a survey of Ecalle's theory of flexion units. In particular, we provide complete proofs of several key assertions that were stated without proof in Ecalle's original works. These results are crucial for understanding applications of flexion units to the theory of multiple zeta values and the Kashiwara-Vergne problem.

Improving compiler support for SIMD offload using Arm Streaming SVE
Mohamed Husain Noor Mohamed, Adarsh Patil, Latchesar Ionkov, Eric Van Hensbergen
https://arxiv.org/abs/2506.02233

Improving compiler support for SIMD offload using Arm Streaming SVE
The wider adoption of tightly coupled core-adjacent accelerators, such as Arm Scalable Matrix Extension (SME), hinges on lowering software programming complexity. In this paper, we focus on enabling the use of SME architecture in Streaming Scalable Vector Extension (SSVE) mode for workloads written in C/C++. While current compilers optimize loops for all types of SIMD instructions, these techniques primarily target vector units within the core and falter when applied to disaggregated, core-adja…

This https://arxiv.org/abs/2212.05053 has been replaced.
link: https://scholar.google.com/scholar?q=a

Joint Spectral Clustering in Multilayer Degree-Corrected Stochastic Blockmodels
Modern network datasets are often composed of multiple layers, either as different views, time-varying observations, or independent sample units, resulting in collections of networks over the same set of vertices but with potentially different connectivity patterns on each network. These data require models and methods that are flexible enough to capture local and global differences across the networks, while at the same time being parsimonious and tractable to yield computationally efficient a…

As we prepare for colorful explosions in the United States, I remembered I wanted to share colorful lasers confetti I saw a few months ago at Gareth Emery's LSR/City show.
I have a singular RGB laser with ILDA interface USB DAC that I've played with a little over a year ago. Someday I'd like to drive it with code.

Segmented Operations using Matrix Multiplications
Aleksandros Sobczyk, Giuseppe Sorrentino, Anastasios Zouzias
https://arxiv.org/abs/2506.23906 https://

Segmented Operations using Matrix Multiplications
Specialized computational units that perform small matrix multiplications as primitive operations are typically present in modern accelerators. However, these units are often underutilized for many fundamental operations besides dense matrix multiplications. The analysis of algorithms for such architectures is currently stagnated due to the lack of a rigorous theoretical model of computation that captures their characteristics. In this work, we propose MMV-RAM, a computational model tailored to…

Tel Aviv-based Speedata, which is designing analytics processing units for big data workloads, raised a $44M Series B, aims to showcase its first APU this month (Kate Park/TechCrunch)
https://techcrunch.com/2025/06/03/speedata…

Speedata, a chip startup competing with Nvidia, raises a $44M Series B | TechCrunch
Speedata, a Tel Aviv-based startup developing an analytics processing unit (APU) designed to accelerate big data analytic and AI workloads, has raised a Founded by six researcher, Speedata wants to build the first-ever purpose-build chip designed specifically for big data workloads.

PySEQM 2.0: Accelerated Semiempirical Excited State Calculations on Graphical Processing Units
Vishikh Athavale, Nikita Fedik, William Colglazier, Anders M. N. Niklasson, Maksim Kulichenko, Sergei Tretiak
https://arxiv.org/abs/2505.24807

PySEQM 2.0: Accelerated Semiempirical Excited State Calculations on Graphical Processing Units
We report the implementation of electronic excited states for semi-empirical quantum chemical methods at the configuration interaction singles (CIS) and time-dependent Hartree-Fock (TDHF) level of theory in the PySEQM software. Built on PyTorch, this implementation leverages GPU acceleration to significantly speed up molecular property calculations. Benchmark tests demonstrate that our approach can compute excited states for molecules with nearly a thousand atoms in under a minute. Additionally…

Topological weight and structural diversity of polydisperse chromatin loop networks
Andrea Bonato, Enrico Carlon, Sergey Kitaev, Davide Marenduzzo, Enzo Orlandini
https://arxiv.org/abs/2507.00520

Topological weight and structural diversity of polydisperse chromatin loop networks
Current biophysical models for transcriptionally active chromatin view this as a polymer with sticky sites, mimicking transcription units such as promoters and enhancers which interact via the binding of multivalent complexes of chromatin-binding proteins. It has been demonstrated that this model spontaneously leads to microphase separation, resulting in the formation of a network of loops with transcription units serving as anchors. Here, we demonstrate how to compute the topological weights o…

Minimal Neuron Circuits -- Part I: Resonators
Amr Nabil, T. Nandha Kumar, Haider Abbas F. Almurib
https://arxiv.org/abs/2506.02341 https://

Minimal Neuron Circuits -- Part I: Resonators
Spiking Neural Networks have earned increased recognition in recent years owing to their biological plausibility and event-driven computation. Spiking neurons are the fundamental building components of Spiking Neural Networks. Those neurons act as computational units that determine the decision to fire an action potential. This work presents a methodology to implement biologically plausible yet scalable spiking neurons in hardware. We show that it is more efficient to design neurons that mimic …

Semi-tail Units: A Universal Scale for Test Statistics and Efficiency
Paul W. Vos
https://arxiv.org/abs/2506.22910 https://arxiv.org/…

Semi-tail Units: A Universal Scale for Test Statistics and Efficiency
We introduce $ζ$- and $s$-values as quantile-based standardizations that are particularly suited for hypothesis testing. Unlike p-values, which express tail probabilities, $s$-values measure the number of semi-tail units into a distribution's tail, where each unit represents a halving of the tail area. This logarithmic scale provides intuitive interpretation: $s=3.3$ corresponds to the 10th percentile, $s=4.3$ to the 5th percentile, and $s=5.3$ to the 2.5th percentile. For two-tailed tests, $�…

"OpenAI will launch a Jony Ive-designed hardware device that will sell 100 million units by the end of 2026 and increase the valuation of OpenAI to $1 trillion" is in exactly the same genre as another piece of news we saw today: "SpaceX will launch a Mars mission by the end of 2026."
What OpenAI bought with $6.5B of imaginary money is not a product company, but a brand. For the layperson, Jony Ive brings the mystique of Apple's

Token Communication in the Era of Large Models: An Information Bottleneck-Based Approach
Hao Wei, Wanli Ni, Wen Wang, Wenjun Xu, Dusit Niyato, Ping Zhang
https://arxiv.org/abs/2507.01728

Token Communication in the Era of Large Models: An Information Bottleneck-Based Approach
This letter proposes UniToCom, a unified token communication paradigm that treats tokens as the fundamental units for both processing and wireless transmission. Specifically, to enable efficient token representations, we propose a generative information bottleneck (GenIB) principle, which facilitates the learning of tokens that preserve essential information while supporting reliable generation across multiple modalities. By doing this, GenIB-based tokenization is conducive to improving the com…

Rootin' Tootin' Efficient Ray Shootin': Creating Microlensing Magnification Maps with GPUs
Luke Weisenbach
https://arxiv.org/abs/2506.02114 htt…

Rootin' Tootin' Efficient Ray Shootin': Creating Microlensing Magnification Maps with GPUs
The impending discovery and monitoring of hundreds of new gravitationally lensed quasars and supernovae from upcoming ground and space based large area surveys such as LSST, \textit{Euclid}, and \textit{Roman} necessitates the development of improved numerical methods for studying gravitational microlensing. We present in this work the fastest microlensing map generation code currently publicly available. We utilize graphics processing units to take advantage of the inherent parallelizable natu…

EU electric car sales in April up 34% compared to last year, but Tesla sales *down* 53%, an even stronger fall than in the first quarter of the year.
https://www.electrive.com/2025/05/27/electric-cars-overtake-diesel-in-new-eu-veh…

Electric cars overtake diesel in new EU vehicle registrations - electrive.com
According to the industry association ACEA, new registrations of electric cars in the EU rose by 26 per cent year-on-year to just under 560,000 units in the

A look at Australian startup Cortical Labs' CL1, billed as the first code-deployable biological computer, with 115 units shipping this summer at $35K each (Shannon Cuthrell/IEEE Spectrum)
https://spectrum.ieee.org/biological-computer-for-sale

Human Brain Cells on a Chip for Sale

World-first biocomputing platform hits the market

On-device Streaming Discrete Speech Units
Kwanghee Choi, Masao Someki, Emma Strubell, Shinji Watanabe
https://arxiv.org/abs/2506.01845 https://

On-device Streaming Discrete Speech Units
Discrete speech units (DSUs) are derived from clustering the features of self-supervised speech models (S3Ms). DSUs offer significant advantages for on-device streaming speech applications due to their rich phonetic information, high transmission efficiency, and seamless integration with large language models. However, conventional DSU-based approaches are impractical as they require full-length speech input and computationally expensive S3Ms. In this work, we reduce both the attention window a…

Pluto Geologic Map: Use of Crater Data to Understand Age Relationships
Kelsi N. Singer, Oliver L. White, Sarah Greenstreet, Jeffrey M. Moore, David A. Williams, Rosaly M. C. Lopes
https://arxiv.org/abs/2506.00254

Pluto Geologic Map: Use of Crater Data to Understand Age Relationships
Pluto's surface displays a wide variety of geologic units from smooth plains to extremely rugged mountainous expanses. These terrains range in age from young, actively resurfaced regions (no observable craters even in the highest-resolution New Horizons images) to old, heavily cratered, eroded regions. Here we expand upon the crater data analysis and the independent crater data set used in the production of a 1:7M scale geologic map of Pluto that is to be published by the United States Geologic…

Decentralized Pliable Index Coding For Federated Learning In Intelligent Transportation Systems
Sadina Kadakkottiri, Narisetty Harish, Nujoom Sageer Karat, Deepthi Paramel Pattathil, Balaji Sundar Rajan
https://arxiv.org/abs/2507.00643

Decentralized Pliable Index Coding For Federated Learning In Intelligent Transportation Systems
Federated Learning is a promising option for data privacy and security in ITS, because it allows edge devices, Road Side Units (RSUs), and Central Server (CS) to jointly train the machine learning model. Since RSU collects data from the vehicles passing through its range, the local data of each RSU will have a non-IID distribution, which adversely affects the convergence speed and accuracy of FL training. Generating synthetic data locally at individual nodes, followed by data shuffling among th…

Cowboys 'should be in NFL playoff mix' if one key unit comes together https://www.si.com/nfl/cowboys/news/dallas-cowboys-should-be-nfl-playoff-mix-one-key-unit-comes-together

There's a lot of pressurefor businesses to get ahead with AI.
And I imagine at many companies
there's a sense that if you don't keep up, you're leaving innovation on the table.
At the same time, there's a gap between the excitement around AI and understanding what it means for each role.
CarGurus started an internal initiative "AI Forward" to meet business units and function where they are.
The group works together to evaluate u…

How CarGurus's new working group helps employees experiment with AI
The online marketplace for cars is helping its employees adopt and explore new tech with AI Forward, a working group designed to lead AI adoption.

Diesel, petrol and Tesla car sales down across Europe
Nobody wants to get their hands dirty.
https://www.electrive.com/2025/05/27/electric-cars-overtake-diesel-in-new-eu-vehicle-registrations/

Electric cars overtake diesel in new EU vehicle registrations - electrive.com
According to the industry association ACEA, new registrations of electric cars in the EU rose by 26 per cent year-on-year to just under 560,000 units in the

The platform of 33 year-old Zohran Mamdani, the “Democatic Socialist" immigrant who just won the primary in New York City (setting himself up for Mayor's election in November)
free public buses 🚎
universal childcare 👶
freezing rent in subsidized units 🏚️
city-run grocery stores 🥖🥒🍎
all paid for by new taxes on the rich.🤑
Good people want these things. They are not complicated or extreme.
also:
"strong support of Palestinians and criticism of Israel”
#Socialist #CanPoli
https://www.bbc.com/news/articles/ckg6yg7x467o

I cannot believe how evil GrowSF is. They praised the market-rate-only housing at 2588 Mission with no replacement for rent-controlled units destroyed in a fire, a project where even SFHAC said activists opposing it had a point. Now they're calling Lurie's budget that catastrophically defunds social services and will take away people's access to food and housing "a step in the right direction." They spam me with their newsletter and every time I open it my jaw drops.

BPD-Neo: An MRI Dataset for Lung-Trachea Segmentation with Clinical Data for Neonatal Bronchopulmonary Dysplasia
Rachit Saluja, Arzu Kovanlikaya, Candace Chien, Lauren Kathryn Blatt, Jeffrey M. Perlman, Stefan Worgall, Mert R. Sabuncu, Jonathan P. Dyke
https://arxiv.org/abs/2506.23305

BPD-Neo: An MRI Dataset for Lung-Trachea Segmentation with Clinical Data for Neonatal Bronchopulmonary Dysplasia
Bronchopulmonary dysplasia (BPD) is a common complication among preterm neonates, with portable X-ray imaging serving as the standard diagnostic modality in neonatal intensive care units (NICUs). However, lung magnetic resonance imaging (MRI) offers a non-invasive alternative that avoids sedation and radiation while providing detailed insights into the underlying mechanisms of BPD. Leveraging high-resolution 3D MRI data, advanced image processing and semantic segmentation algorithms can be deve…

"ICE is preparing to deploy tactical units known as Special Response Teams to five Democratic-run cities."
Somewhere in my head alarm bells are ringing and I can't find the "off" button.
https://www.

This https://arxiv.org/abs/2408.17317 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Diagnosing crosstalk in large-scale QPUs using zero-entropy classical shadows
As quantum processing units (QPUs) scale toward hundreds of qubits, diagnosing crosstalk and noise-induced correlations becomes critical for reliable quantum computation. In this work, we introduce Zero-Entropy Classical Shadows (ZECS), a diagnostic tool that reconstructs positive semidefinite, unit-trace density operators from classical shadow (CS) information. ZECS enables proper subregion tomography and reduces the effect of sampling and time-dependent errors. We apply ZECS to large supercon…

Using Code Snippets to Teach Programming Languages
Joshua Akingbade, Jianhua Yang, Mir Seyedebrahimi
https://arxiv.org/abs/2506.00404 https://

Using Code Snippets to Teach Programming Languages
Coding is a fundamental skill required in the engineering discipline, and much work exists exploring better ways of teaching coding in the higher education context. In particular, Code Snippets (CSs) are approved to be an effective way of introducing programming language units to students. CSs are portions of source code of varying size and content. They can be used in a myriad of ways, one of which is to teach the code they contain as well as its function. To further explore the use of CSs, a …

Beyond von Mises Truss Models: Emergent Bistability in Mechanical Metamaterials
Md Nahid Hasan, Taylor E. Greenwood, Sharat Paul, Bolei Deng, Qihan Liu, Yong Lin Kong, Pai Wang
https://arxiv.org/abs/2507.00996

Beyond von Mises Truss Models: Emergent Bistability in Mechanical Metamaterials
We observe and analyze the phenomenon of bistability emergent from cooperative stiffening in hyper-elastic metamaterials. Using experimental and numerical results of identical geometric designs, we show evidence that a single unit is unistable while combining two units can result in bistability. Our study demonstrates that the von Mises truss model cannot describe such emergent behavior. Hence, we construct a novel and simple analytical model to explain this phenomenon.

X-pSRAM: A Photonic SRAM with Embedded XOR Logic for Ultra-Fast In-Memory Computing
Md Abdullah-Al Kaiser, Sugeet Sunder, Ajey P. Jacob, Akhilesh R. Jaiswal
https://arxiv.org/abs/2506.22707

X-pSRAM: A Photonic SRAM with Embedded XOR Logic for Ultra-Fast In-Memory Computing
Traditional von Neumann architectures suffer from fundamental bottlenecks due to continuous data movement between memory and processing units, a challenge that worsens with technology scaling as electrical interconnect delays become more significant. These limitations impede the performance and energy efficiency required for modern data-intensive applications. In contrast, photonic in-memory computing presents a promising alternative by harnessing the advantages of light, enabling ultra-fast da…

Study of $p$-Young tableaux, Robinson-Schensted correspondence and the lacunary Cauchy identity of group algebras $KG_{r}$ and $KSG_{r}$
M. Parvathi, A. Tamilselvi, D. Hepsi
https://arxiv.org/abs/2507.00580

Study of $p$-Young tableaux, Robinson-Schensted correspondence and the lacunary Cauchy identity of group algebras $KG_{r}$ and $KSG_{r}$
In this paper, we develop the Robinson-Schensted correspondence between the elements of the groups $G_{r}$ $(\mathbb{Z}_{p^{r}}\rtimes \mathbb{Z}^{*}_{p^{r}})$ and $SG_{r}$ $(\mathbb{Z}_{p^{r-1}}\rtimes \mathbb{Z}^{*}_{p^{r}})$, along with a pair of the standard $p$-Young tableaux. This approach differs from the classical method, and ours is based on matrix units arising from orthogonal primitive idempotents computed for every group algebra. Some classical properties of the Robinson-Schensted c…

This https://arxiv.org/abs/2404.13164 has been replaced.
link: https://scholar.google.com/scholar?q=a

Least Squares Estimation For Hierarchical Data
The U.S. Census Bureau's 2020 Disclosure Avoidance System (DAS) bases its output on noisy measurements, which are population tabulations added to realizations of mean-zero random variables. These noisy measurements are observed for a set of hierarchical geographic units, e.g., the U.S. as a whole, states, counties, census tracts, and census blocks. The Census Bureau released the noisy measurements generated in the DAS executions for the two primary 2020 Census data products, in part to allow da…

UiS-IAI@LiveRAG: Retrieval-Augmented Information Nugget-Based Generation of Responses
Weronika {\L}ajewska, Ivica Kostric, Gabriel Iturra-Bocaz, Mariam Arustashvili, Krisztian Balog
https://arxiv.org/abs/2506.22210

UiS-IAI@LiveRAG: Retrieval-Augmented Information Nugget-Based Generation of Responses
Retrieval-augmented generation (RAG) faces challenges related to factual correctness, source attribution, and response completeness. The LiveRAG Challenge hosted at SIGIR'25 aims to advance RAG research using a fixed corpus and a shared, open-source LLM. We propose a modular pipeline that operates on information nuggets-minimal, atomic units of relevant information extracted from retrieved documents. This multistage pipeline encompasses query rewriting, passage retrieval and reranking, nugget d…

On the relationship between prediction intervals, tests of sharp nulls and inference on realized treatment effects in settings with few treated units
Luis Alvarez, Bruno Ferman
https://arxiv.org/abs/2506.14998

On the relationship between prediction intervals, tests of sharp nulls and inference on realized treatment effects in settings with few treated units
We study how inference methods for settings with few treated units that rely on treatment effect homogeneity extend to alternative inferential targets when treatment effects are heterogeneous -- namely, tests of sharp null hypotheses, inference on realized treatment effects, and prediction intervals. We show that inference methods for these alternative targets are deeply interconnected: they are either equivalent or become equivalent under additional assumptions. Our results show that methods d…

The Condition Number as a Scale-Invariant Proxy for Information Encoding in Neural Units
Oswaldo Ludwig
https://arxiv.org/abs/2506.16289 https://

The Condition Number as a Scale-Invariant Proxy for Information Encoding in Neural Units
This paper explores the relationship between the condition number of a neural network's weight tensor and the extent of information encoded by the associated processing unit, viewed through the lens of information theory. We argue that a high condition number, though not sufficient for effective knowledge encoding, may indicate that the unit has learned to selectively amplify and compress information. We formalize this intuition, particularly for linear units with Gaussian inputs, linking the c…

For Trump, ‘Two Weeks’ Is the Magic Number.
https://www.nytimes.com/2025/06/19/world/middleeast/trump-iran-two-weeks.html?unlocked_article_code=1.QU8.jnPu.iH1sgWhj-NWe&smid=url-share

‘Two Weeks’ Is Trump’s Favorite Unit of Time
“Two weeks” is one of President Trump’s favorite units of time. It can mean something, or nothing at all.

Holy fuck this guitar is my goddamn spirit animal
#guitar #gearsquad #PRS

“We spent more than four years in research and development, working closely with Herman to get everything exactly right”: PRS activates total shred mode for the launch of Herman Li’s feature-packed Chleo signature electric
Available in Orchid Dusk and Charcoal Purple Burst, limited to 200 units, we've got 13 unique tone combinations from its HSH Fishman pickups, a Gotoh floating vibrato and Eclipse Dragon inlays too

CMOS X: Stacking Persistent Embedded Memories based on Oxide Transistors upon GPGPU Platforms
Faaiq Waqar, Ming-Yen Lee, Seongwon Yoon, Seongkwang Lim, Shimeng Yu
https://arxiv.org/abs/2506.23405

CMOS+X: Stacking Persistent Embedded Memories based on Oxide Transistors upon GPGPU Platforms
In contemporary general-purpose graphics processing units (GPGPUs), the continued increase in raw arithmetic throughput is constrained by the capabilities of the register file (single-cycle) and last-level cache (high bandwidth), which require the delivery of operands at a cadence demanded by wide single-instruction multiple-data (SIMD) lanes. Enhancing the capacity, density, or bandwidth of these memories can unlock substantial performance gains; however, the recent stagnation of SRAM bit-cell…

A Mixed-Signal Photonic SRAM-based High-Speed Energy-Efficient Photonic Tensor Core with Novel Electro-Optic ADC
Md Abdullah-Al Kaiser, Sugeet Sunder, Ajey P. Jacob, Akhilesh R. Jaiswal
https://arxiv.org/abs/2506.22705

A Mixed-Signal Photonic SRAM-based High-Speed Energy-Efficient Photonic Tensor Core with Novel Electro-Optic ADC
The rapid surge in data generated by Internet of Things (IoT), artificial intelligence (AI), and machine learning (ML) applications demands ultra-fast, scalable, and energy-efficient hardware, as traditional von Neumann architectures face significant latency and power challenges due to data transfer bottlenecks between memory and processing units. Furthermore, conventional electrical memory technologies are increasingly constrained by rising bitline and wordline capacitance, as well as the resi…

Modelling transcriptional silencing and its coupling to 3D genome organisation
Massimiliano Semeraro, Giuseppe Negro, Davide Marenduzzo, Giada Forte
https://arxiv.org/abs/2507.02150

Modelling transcriptional silencing and its coupling to 3D genome organisation
Timely up- or down-regulation of gene expression is crucial for cellular differentiation and function. While gene upregulation via transcriptional activators has been extensively investigated, gene silencing remains understudied, especially by modelling. This study employs 3D simulations to study the biophysics of a chromatin fibre where active transcription factors compete with repressors for binding to transcription units along the fibre, and investigates how different silencing mechanisms af…

Spin non-Collinear Real-Time Time-Dependent Density-Functional Theory and Implementation in the Modern GPU-Accelerated INQ code
Jacopo Simoni, Xavier Andrade, Wuzhang Fang, Andrew C. Grieder, Alfredo A. Correa, Tadashi Ogitsu, Yuan Ping
https://arxiv.org/abs/2506.21908

Spin non-Collinear Real-Time Time-Dependent Density-Functional Theory and Implementation in the Modern GPU-Accelerated INQ code
Time-dependent density functional theory (TDDFT) is a theory that describes the time evolution of quantum mechanical many-electron systems under the influence of external time-dependent electric and magnetic fields. INQ is a specially designed software to efficiently solve the real-time TDDFT equations on graphics processing units (GPUs), which aim to overcome the computational limitation of time and size scales of non-equilibrium quantum dynamics. In this work we will present an implementation…

VUSA: Virtually Upscaled Systolic Array Architecture to Exploit Unstructured Sparsity in AI Acceleration
Shereef Helal, Alberto Garcia-Ortiz, Lennart Bamberg
https://arxiv.org/abs/2506.01166

VUSA: Virtually Upscaled Systolic Array Architecture to Exploit Unstructured Sparsity in AI Acceleration
Leveraging high degrees of unstructured sparsity is a promising approach to enhance the efficiency of deep neural network DNN accelerators - particularly important for emerging Edge-AI applications. We introduce VUSA, a systolic-array architecture that virtually grows based on the present sparsity to perform larger matrix multiplications with the same number of physical multiply-accumulate MAC units. The proposed architecture achieves saving by 37% and 68% in area and power efficiency, respecti…

2025 Position Breakdown: Jakobi Meyers, rookies make for promising receiving corps https://www.raiders.com/news/2025-position-breakdown-wide-receivers-jakobi-meyers-tre-tucker-jack-bech

Auto-Doubly Robust Estimation of Causal Effects on a Network
Jizhou Liu, Dake Zhang, Eric J. Tchetgen Tchetgen
https://arxiv.org/abs/2506.23332 https://

Auto-Doubly Robust Estimation of Causal Effects on a Network
This paper develops new methods for causal inference in observational studies on a single large network of interconnected units, addressing two key challenges: long-range dependence among units and the presence of general interference. We introduce a novel network version of Augmented Inverse Propensity Weighted, which combines propensity score and outcome models defined on the network to achieve doubly robust identification and estimation of both direct and spillover causal effects. Under a ne…

"AI" product development is in a strategic falsifiability crisis
The crisis is shaped like the No True Scotsman fallacy, Sunk Cost fallacy, and conspiracy theories ALL AT THE SAME TIME
there is no possible accumulated evidence that would lead boosters to conclude that "an LLM isn't an appropriate artifact to address this problem"
I see them throwing LLMs at *already beyond-adequately solved problems* (units conversion! chess! constraint fitting!), ge…

Symbolic Higher-Order Analysis of Multivariate Time Series
Andrea Civilini, Fabrizio de Vico Fallani, Vito Latora
https://arxiv.org/abs/2506.00508 https://…

Symbolic Higher-Order Analysis of Multivariate Time Series
Identifying patterns of relations among the units of a complex system from measurements of their activities in time is a fundamental problem with many practical applications. Here, we introduce a method that detects dependencies of any order in multivariate time series data. The method first transforms a multivariate time series into a symbolic sequence, and then extract statistically significant strings of symbols through a Bayesian approach. Such motifs are finally modelled as the hyperedges …

Digital Twin-Empowered Cooperative Autonomous Car-sharing Services: Proof-of-Concept
Kazuma Nonomura, Kui Wang, Zongdian Li, Tao Yu, Kei Sakaguchi
https://arxiv.org/abs/2504.20542

Can One Safety Loop Guard Them All? Agentic Guard Rails for Federated Computing
Narasimha Raghavan Veeraragavan, Jan Franz Nyg{\aa}rd
https://arxiv.org/abs/2506.20000

Can One Safety Loop Guard Them All? Agentic Guard Rails for Federated Computing
We propose Guardian-FC, a novel two-layer framework for privacy preserving federated computing that unifies safety enforcement across diverse privacy preserving mechanisms, including cryptographic back-ends like fully homomorphic encryption (FHE) and multiparty computation (MPC), as well as statistical techniques such as differential privacy (DP). Guardian-FC decouples guard-rails from privacy mechanisms by executing plug-ins (modular computation units), written in a backend-neutral, domain-spe…

With militaries: amateurs focus on weapon systems like tanks & planes. Professionals focus on logistics.
kegseth is a drunk amateur misusing & abusing our soldiers.
“…snafu is…slapdash mission where…welfare of troops has not been…priority…service members described inadequate living conditions at…Naval Weapons Station Seal Beach, on…outskirts of Los Angeles…soldiers are sleeping outside on cots…Others cited intermittent issues with food & fuel supplies.”

Guard Soldiers Deployed in Trump's LA Crackdown Aren't Getting Paid Yet
According to more than a dozen Guardsmen across four units who spoke to Military.com, none has received formal activation orders, the critical paperwork that not only authorizes their duty status, but also unlocks pay and Tricare health benefits.

Broad Spectrum Structure Discovery in Large-Scale Higher-Order Networks
John Hood, Caterina De Bacco, Aaron Schein
https://arxiv.org/abs/2505.21748 https:/…

Broad Spectrum Structure Discovery in Large-Scale Higher-Order Networks
Complex systems are often driven by higher-order interactions among multiple units, naturally represented as hypergraphs. Understanding dependency structures within these hypergraphs is crucial for understanding and predicting the behavior of complex systems but is made challenging by their combinatorial complexity and computational demands. In this paper, we introduce a class of probabilistic models that efficiently represents and discovers a broad spectrum of mesoscale structure in large-scal…

Cowboys 'should be in NFL playoff mix' if one key unit comes together https://www.si.com/nfl/cowboys/news/dallas-cowboys-should-be-nfl-playoff-mix-one-key-unit-comes-together

@… I have made the decision to simply not bother with floats in the language I’m making.
I think I will eventually add both units and ratios, which should cover most use cases, I think.

Determining unit groups and $\mathrm{K}_1$ of finite rings
Tommy Hofmann
https://arxiv.org/abs/2506.00266 https://arxiv.org/pdf/2506.…

Determining unit groups and $\mathrm{K}_1$ of finite rings
We consider the computational problem of determining the unit group of a finite ring, by which we mean the computation of a finite presentation together with an algorithm to express units as words in the generators. We show that the problem is equivalent to the number theoretic problems of factoring integers and solving discrete logarithms in finite fields. A similar equivalence is shown for the problem of determining the abelianization of the unit group or the first $K$-group of finite rings.

Very-wide-orbit planets from dynamical instabilities during the stellar birth cluster phase
Andr\'e Izidoro, Sean N. Raymond, Nathan A. Kaib, Alessandro Morbidelli, Andrea Isella
https://arxiv.org/abs/2505.24093

Very-wide-orbit planets from dynamical instabilities during the stellar birth cluster phase
Gas giant planets have been detected on eccentric orbits several hundreds of astronomical units in size around other stars. It has been proposed that even the Sun hosts a wide-orbit planet of 5-10 Earth masses, often called Planet Nine, which influences the dynamics of distant Trans-Neptunian objects. However, the formation mechanism of such planets remains uncertain. Here we use numerical simulations to show that very wide-orbit planets are a natural byproduct of dynamical instabilities that o…

House prices and markets and uses of residential units:
https://www.theguardian.com/commentisfree/2025/jun/25/lisbon-europe-portugal-golden-visa-capital-investors-short-term-re…

House prices and markets and uses of residential units:
https://www.theguardian.com/commentisfree/2025/jun/25/lisbon-europe-portugal-golden-visa-capital-investors-short-term-re…

Hypercubical manifolds in homotopy type theory
Samuel Mimram, \'Emile Oleon
https://arxiv.org/abs/2506.19402 https://arxiv.org/pd…

Hypercubical manifolds in homotopy type theory
Homotopy type theory is a logical setting in which one can perform geometric constructions and proofs in a synthetic way. Namely, types can be interpreted as spaces up to homotopy, and proofs as homotopy invariant constructions. In this context, we introduce a type which corresponds to the hypercubical manifold, a space first introduced by Poincaré in 1895. Its importance stems from the fact that it provides an approximation of the group Q of quaternionic units, in the sense of being the first…

"‘We don’t want to be a niche brand’: Seaweed is taking plastic out of stadiums and sandwich boxes"
#Seaweed #Packaging

Seaweed packaging is shifting single-use plastic out of stadiums
Notpla is aiming to expand in Europe and displace 1 billion units of single-use plastic by 2030.

Beam Squint Mitigation in Wideband Hybrid Beamformers: Full-TTD, Sparse-TTD, or Non-TTD?
Mehdi Monemi, Mehdi Rasti, Omid Yazdani, Onel Lopez, Matti Latva-aho
https://arxiv.org/abs/2506.19381

Beam Squint Mitigation in Wideband Hybrid Beamformers: Full-TTD, Sparse-TTD, or Non-TTD?
Beam squint poses a fundamental challenge in wideband hybrid beamforming, particularly for mmWave and THz systems that demand both ultra-wide bandwidth and high directional beams. While conventional phase shifter-based beamformers may offer partial mitigation, True Time Delay (TTD) units provide a fundamentally more effective solution by enabling frequency-independent beam steering. However, the high cost of TTD units has recently driven much interest in Sparse-TTD architectures, which combine …

Efficient vectorized evaluation of Gaussian AO integrals on modern central processing units
Andrey Asadchev, Edward F. Valeev
https://arxiv.org/abs/2506.12501

Efficient vectorized evaluation of Gaussian AO integrals on modern central processing units
We report an implementation of the McMurchie-Davidson evaluation scheme for 1- and 2-particle Gaussian AO integrals designed for efficient execution on modern central processing units (CPUs) with Single Instruction Multiple Data (SIMD) instruction sets. Like in our recent MD implementation for graphical processing units (GPUs) [J. Chem. Phys. 160, 244109 (2024)], variable-sized batches of shellsets of integrals are evaluated at a time. By optimizing for the floating point instruction throughput…

Hilbert Eisenstein series as Doi-Naganuma lift
Yingkun Li, Mingkuan Zhang
https://arxiv.org/abs/2506.01688 https://arxiv.org/pdf/2506…

Hilbert Eisenstein series as Doi-Naganuma lift
In this paper, we show that incoherent Hilbert Eisenstein series for a real quadratic fields can be expressed as the Doi-Naganums lift of an incoherent Eisenstein series over $\mathbb{Q}$. As an application, we show when $N$ is odd and square-free, the values at Heegner points of Borcherds product on $X_0(N)^2$ with effective divisors are not integral units when the discriminants are sufficiently large. This generalizes a result of the first author to higher levels. In the process, we explicitl…

Contextualized Automatic Speech Recognition with Dynamic Vocabulary Prediction and Activation
Zhennan Lin, Kaixun Huang, Wei Ren, Linju Yang, Lei Xie
https://arxiv.org/abs/2505.23077

Contextualized Automatic Speech Recognition with Dynamic Vocabulary Prediction and Activation
Deep biasing improves automatic speech recognition (ASR) performance by incorporating contextual phrases. However, most existing methods enhance subwords in a contextual phrase as independent units, potentially compromising contextual phrase integrity, leading to accuracy reduction. In this paper, we propose an encoder-based phrase-level contextualized ASR method that leverages dynamic vocabulary prediction and activation. We introduce architectural optimizations and integrate a bias loss to ex…

Prediction of A15 Tilt Grain Boundary Structures
Wenwen Zou, Zihan Su, Juan Zhang, Kai Jiang
https://arxiv.org/abs/2506.21954 https://

Prediction of A15 Tilt Grain Boundary Structures
In this work, we present a theoretical method to predict all coincidence site lattice (CSL) tilt grain boundaries (GBs) in A15, especially high-$Σ$ CSL GBs. This method includes a modified Farey diagram (MFD) and a computational framework based on the 3D phase field crystal model. Applied to [001] CSL symmetric tilt grain boundaries (STGBs) in A15, this method identifies building blocks of A15 GBs, known as structural units (SUs). The MFD predicts the quantity and proportion of SUs within GBs.…

TriADA: Massively Parallel Trilinear Matrix-by-Tensor Multiply-Add Algorithm and Device Architecture for the Acceleration of 3D Discrete Transformations
Stanislav Sedukhin (The University of Aizu, Japan), Yoichi Tomioka (The University of Aizu, Japan), Kazuya Matsumoto (The University of Aizu, Japan), Yuichi Okuyama (The University of Aizu, Japan)
ht…

TriADA: Massively Parallel Trilinear Matrix-by-Tensor Multiply-Add Algorithm and Device Architecture for the Acceleration of 3D Discrete Transformations
Multilinear transformations are key in high-performance computing (HPC) and artificial intelligence (AI) workloads, where data is represented as tensors. However, their high computational and memory demands, which grow with dimensionality, often slow down critical tasks. Moreover, scaling computation by enlarging the number of parallel processing units substantially increases energy consumption, limiting widespread adoption, especially for sparse data, which is common in HPC and AI applications…

The Optimality of a Nested Generalized Pairwise Group Testing Procedure
Yaakov Malinovsky, Viktor Skorniakov
https://arxiv.org/abs/2506.15797 https://

The Optimality of a Nested Generalized Pairwise Group Testing Procedure
We study the problem of identifying defective units in a finite population of \( n \) units, where each unit \( i \) is independently defective with known probability \( p_i \). This setting is referred to as the \emph{Generalized Group Testing Problem}. A testing procedure is called optimal if it minimizes the expected number of tests. It has been conjectured that, when all probabilities \( p_i \) lie within the interval \( \left[1 - \frac{1}{\sqrt{2}},\, \frac{3 - \sqrt{5}}{2} \right] \), the…

This https://arxiv.org/abs/2406.03674 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDS_…

Learning Safe Strategies for Value Maximizing Buyers in Uniform Price Auctions
We study the bidding problem in repeated uniform price multi-unit auctions from the perspective of a single value-maximizing buyer who aims to maximize their cumulative value over $T$ rounds while adhering to return-on-investment (RoI) constraints in each round. Buyers adopt $m$-uniform bidding format, where they submit $m$ bid-quantity pairs $(b_i, q_i)$ to demand $q_i$ units at bid $b_i$. We introduce safe bidding strategies as those that satisfy RoI constraints in every auction, regardless o…

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

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

Physics Of Eclipsing Binaries. IX. Spectroscopic module
Miroslav Bro\v{z}, Andrej Pr\v{s}a, Kyle E. Conroy, Michael Abdul-Masih
https://arxiv.org/abs/2506.20868

Physics Of Eclipsing Binaries. IX. Spectroscopic module
Spectroscopic observations constrain the fundamental properties of stellar atmospheres, in particular, the effective temperature, the gravitational acceleration, or the metallicity. In this work, we describe the spectroscopic module for Phoebe, which allows for modelling of spectra, either normalized, or in absolute units (${\rm W}\,{\rm m}^{-2}\,{\rm m}^{-1}$). The module is based on extensive grids of synthetic spectra, taken from literature, which are interpolated and integrated over the sur…

Optimal Targeting in Dynamic Systems
Yuchen Hu, Shuangning Li, Stefan Wager
https://arxiv.org/abs/2507.00312 https://arxiv.org/pdf/25…

Optimal Targeting in Dynamic Systems
Modern treatment targeting methods often rely on estimating the conditional average treatment effect (CATE) using machine learning tools. While effective in identifying who benefits from treatment on the individual level, these approaches typically overlook system-level dynamics that may arise when treatments induce strain on shared capacity. We study the problem of targeting in Markovian systems, where treatment decisions must be made one at a time as units arrive, and early decisions can impa…

Low-Complexity Semantic Packet Aggregation for Token Communication via Lookahead Search
Seunghun Lee, Jihong Park, Jinho Choi, Hyuncheol Park
https://arxiv.org/abs/2506.19451

Low-Complexity Semantic Packet Aggregation for Token Communication via Lookahead Search
Tokens are fundamental processing units of generative AI (GenAI) and large language models (LLMs), and token communication (TC) is essential for enabling remote AI-generate content (AIGC) and wireless LLM applications. Unlike traditional bits, each of which is independently treated, the semantics of each token depends on its surrounding context tokens. This inter-token dependency makes TC vulnerable to outage channels, where the loss of a single token can significantly distort the original mess…

A Synthetic Business Cycle Approach to Counterfactual Analysis with Nonstationary Macroeconomic Data
Zhentao Shi, Jin Xi, Haitian Xie
https://arxiv.org/abs/2505.22388

A Synthetic Business Cycle Approach to Counterfactual Analysis with Nonstationary Macroeconomic Data
This paper investigates the use of synthetic control methods for causal inference in macroeconomic settings when dealing with possibly nonstationary data. While the synthetic control approach has gained popularity for estimating counterfactual outcomes, we caution researchers against assuming a common nonstationary trend factor across units for macroeconomic outcomes, as doing so may result in misleading causal estimation-a pitfall we refer to as the spurious synthetic control problem. To addre…

Ghidorah: Fast LLM Inference on Edge with Speculative Decoding and Hetero-Core Parallelism
Jinhui Wei, Ye Huang, Yuhui Zhou, Jiazhi Jiang, Jiangsu Du
https://arxiv.org/abs/2505.23219

Ghidorah: Fast LLM Inference on Edge with Speculative Decoding and Hetero-Core Parallelism
In-situ LLM inference on end-user devices has gained significant interest due to its privacy benefits and reduced dependency on external infrastructure. However, as the decoding process is memory-bandwidth-bound, the diverse processing units in modern end-user devices cannot be fully exploited, resulting in slow LLM inference. This paper presents Ghidorah, a LLM inference system for end-user devices with the unified memory architecture. The key idea of Ghidorah can be summarized in two steps: 1…

This https://arxiv.org/abs/2409.11082 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Most totally real fields do not have universal forms or Northcott property
We show that, in the space of all totally real fields equipped with the constructible topology, the set of fields that admit a universal quadratic form, or have the Northcott property, is meager. The main tool is a new theorem on the number of square classes of totally positive units represented by a quadratic lattice of a given rank.

Nintendo says it sold 3.5M Switch 2 consoles globally in its first four days, a record for any of its hardware; Nintendo aims to sell 15M units by March 2026 (Takashi Mochizuki/Bloomberg)
https://www.bloomberg.com/news/articles/20