Tootfinder

Music writer, producer, and podcaster Dylan Tupper Rupert on envisioning alternatives
https://thecreativeindependent.com/peo

Music writer, producer, and podcaster Dylan Tupper Rupert on envisioning alternatives – The Creative Independent
Music writer, producer, and podcaster Dylan Tupper Rupert discusses growing up in the Seattle arts scene, dealing with music industry hierarchy, and imagining the ideal conditions for creativity.

Oh. Minio Community version is going back to be an object browser only
Ceph provides my primary S3 storage but I currently use Minio on a NAS as a backup replica with rclone
Any recommended Minio alternatives?
https://github.com/minio/object-browser/bl…

object-browser/CHANGELOG.md at master · minio/object-browser
Simple UI for MinIO Object Storage :abacus:. Contribute to minio/object-browser development by creating an account on GitHub.

A Comprehensive Machine Learning Framework for Micromobility Demand Prediction
Omri Porat, Michael Fire, Eran Ben-Elia
https://arxiv.org/abs/2507.02715 htt…

A Comprehensive Machine Learning Framework for Micromobility Demand Prediction
Dockless e-scooters, a key micromobility service, have emerged as eco-friendly and flexible urban transport alternatives. These services improve first and last-mile connectivity, reduce congestion and emissions, and complement public transport for short-distance travel. However, effective management of these services depends on accurate demand prediction, which is crucial for optimal fleet distribution and infrastructure planning. While previous studies have focused on analyzing spatial or temp…

Once again: #FuckEricAdams
Unbelievable how he's managed to avoid jailtime breaking federal/state laws while City Council allows him to continue to break _their_laws as well.

https://…

No to 15 mph e-bike speed limit, yes to real safety! - Transportation Alternatives
A ridiculous 15 mph speed limit for e-bikes won't work. Tell Mayor Adams and City Council: We need effective, data-driven policies that protect everyone, and accountability for the corporations fueling chaos on our streets — not the cyclists surviving it.

With the upcoming changes in the next beta of #iTerm2 ("now a web browser as well", "Anthropic is now available as an AI provider") I don't feel like it's the right terminal emulator for me anymore.
Fortunately, there are alternatives: I'm on #WezTerm now. It was easi…

This https://arxiv.org/abs/2411.13720 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csGT_…

Distortion of Multi-Winner Elections on the Line Metric: The Polar Comparison Rule
We study the problem of selecting a committee of size $k$ from a set of $m$ alternatives, based solely on the ordinal preferences of voters. Both voters and alternatives lie on the line metric, and the goal is to minimize a social cost function based on metric distances. While the distances to committee members fully determine the social cost, voting rules only have access to the ordinal preference list of each voter. The distortion of a voting rule is the worst-case ratio between the cost of t…

A Multimodal Approach Combining Biometrics and Self-Report Instruments for Monitoring Stress in Programming: Methodological Insights
Cristina Martinez Montes, Daniela Grassi, Nicole Novielli, Birgit Penzenstadle
https://arxiv.org/abs/2507.02118

A Multimodal Approach Combining Biometrics and Self-Report Instruments for Monitoring Stress in Programming: Methodological Insights
The study of well-being, stress and other human factors has traditionally relied on self-report instruments to assess key variables. However, concerns about potential biases in these instruments, even when thoroughly validated and standardised, have driven growing interest in alternatives in combining these measures with more objective methods, such as physiological measures. We aimed to (i) compare psychometric stress measures and biometric indicators and (ii) identify stress-related pattern…

Ricardo Mendes, born and raised within the Buddhist cult-like community Ogyen Kunzang Choling (OKC), describes in his testimony how this community, initially founded on ideals of spirituality, communal living, and alternatives to Western society, gradually became a sectarian organization
1/13

A look at Russia's coordinated crackdown on foreign tech services and shift to state-backed alternatives, as it names VK's Max its national messaging app (Bloomberg)

Here folks, we have the AI Ouroboros, nourished only on the Dead Internet Theory. A true Simulacra Net in the wild, pure Ghost Web creation, never intended for human eyes.
Yet here, you may behold the horror yourself.
Article literally had zero alternatives and spoke eloquently(?) on them. 😳😆
#DeadInternet

Multi-sample rank tests for location against Lehmann-type alternatives
Nikolay I. Nikolov, Eugenia Stoimenova
https://arxiv.org/abs/2506.01914 https://

Multi-sample rank tests for location against Lehmann-type alternatives
This paper deals with testing the equality of $k$ ($k\ge 2$) distribution functions against possible stochastic ordering among them. Two classes of rank tests are proposed for this testing problem. The statistics of the tests under study are based on precedence and exceedance statistics and are natural extension of corresponding statistics for the two-sample testing problem. Furthermore, as an extension of the Lehmann alternative for the two-sample location problem, we propose a new subclass of…

A Node on the Constellation: The Role of Feminist Makerspaces in Building and Sustaining Alternative Cultures of Technology Production
Erin Gatz, Yasmine Kotturi, Andrea Afua Kwamya, Sarah Fox
https://arxiv.org/abs/2507.22329

A Node on the Constellation: The Role of Feminist Makerspaces in Building and Sustaining Alternative Cultures of Technology Production
Feminist makerspaces offer community led alternatives to dominant tech cultures by centering care, mutual aid, and collective knowledge production. While prior CSCW research has explored their inclusive practices, less is known about how these spaces sustain themselves over time. Drawing on interviews with 18 founders and members across 8 U.S. feminist makerspaces as well as autoethnographic reflection, we examine the organizational and relational practices that support long-term endurance. We …

Unveiling the impact of trivalent metal cation transmutation on Cs$_{2}$AgM(III)Cl$_{6}$ double perovskites using many-body perturbation theory
Surajit Adhikari, Priya Johari
https://arxiv.org/abs/2507.00590

Unveiling the impact of trivalent metal cation transmutation on Cs$_{2}$AgM(III)Cl$_{6}$ double perovskites using many-body perturbation theory
Lead-free halide double perovskites A$_{2}$M(I)M(III)X$_{6}$ have garnered significant attention in the past decade as promising alternatives to CsPbX$_{3}$ perovskites, addressing concerns related to lead toxicity and material instability. In this work, we employ a trivalent metal cation transmutation strategy to design a series of inorganic Pb-free halide double perovskites Cs$_{2}$AgM(III)Cl$_{6}$ and perform a comprehensive investigation into their potential for applications in optoelectron…

Characterization based Goodness-of-Fit for Generalized Pareto Distribution: A Blend of Stein's Identity and Dynamic Survival Extropy
Gaurav Kandpal, Nitin Gupta
https://arxiv.org/abs/2506.01473

Characterization based Goodness-of-Fit for Generalized Pareto Distribution: A Blend of Stein's Identity and Dynamic Survival Extropy
This paper proposes a goodness of fit test for the generalized Pareto distribution (GPD). Firstly, we provide two characterizations of GPD based on Stein's identity and dynamic survival extropy. These characterizations are used to test GPD separately for the positive and negative shape parameter cases. A Monte Carlo simulation is conducted to provide the critical values and power of the proposed test against a good number of alternatives. Our test is simple to use and it has asymptotic normalit…

Interesting French government analysis on alternatives to diesel trucks. Battery-electric superior to alternatives on many points (energy efficiency, CO2 reduction, local value creation in production 100% French energy). Upfront TCO costs still higher.
https://www.

is anyone surprised their $20 streaming sticks sell their data lol
https://www.techmeme.com/250602/p1#a250602p1

A deep dive into Apple TV's privacy features shows that Apple's streaming device is more private than the vast majority of alternatives, save for dumb TVs
By Scharon Harding / Ars Technica. View the full context on Techmeme.

Smooth Reading: Bridging the Gap of Recurrent LLM to Self-Attention LLM on Long-Context Tasks
Kai Liu, Zhan Su, Peijie Dong, Fengran Mo, Jianfei Gao, ShaoTing Zhang, Kai Chen
https://arxiv.org/abs/2507.19353

Smooth Reading: Bridging the Gap of Recurrent LLM to Self-Attention LLM on Long-Context Tasks
Recently, recurrent large language models (Recurrent LLMs) with linear computational complexity have re-emerged as efficient alternatives to self-attention-based LLMs (Self-Attention LLMs), which have quadratic complexity. However, Recurrent LLMs often underperform on long-context tasks due to their limited fixed-size memory. Previous research has primarily focused on enhancing the memory capacity of Recurrent LLMs through architectural innovations, but these approaches have not yet enabled Rec…

BadViM: Backdoor Attack against Vision Mamba
Yinghao Wu, Liyan Zhang
https://arxiv.org/abs/2507.00577 https://arxiv.org/pdf/2507.0057…

BadViM: Backdoor Attack against Vision Mamba
Vision State Space Models (SSMs), particularly architectures like Vision Mamba (ViM), have emerged as promising alternatives to Vision Transformers (ViTs). However, the security implications of this novel architecture, especially their vulnerability to backdoor attacks, remain critically underexplored. Backdoor attacks aim to embed hidden triggers into victim models, causing the model to misclassify inputs containing these triggers while maintaining normal behavior on clean inputs. This paper i…

Sources say Alibaba, Tencent, Baidu, and other Chinese companies are testing domestic alternatives as they deal with a dwindling stockpile of Nvidia processors (Financial Times)
https://www.ft.com/content/bb1315e8-27df-4a93-a4dc-11e2883fdde3

Chinese tech groups prepare for AI future without Nvidia
Tougher US export restrictions on advanced chips give added urgency to testing of domestic alternatives

Hey NY, let Eric Adams know that he's a piece of shit.. er, wait, sorry, I meant let him know that making ebikes limited to 15mph (not the motor speed, but literally pedaling faster than 15mph) with *criminal* charges if you go faster is a terrible idea. Cars will still have a 25mph (or more) speed limit, only ebikes will be criminally charged for keeping up with car traffic on the road.
#NYC

E-Bike Rule — Transportation Alternatives
Biking is not a crime, but Mayor Adams wants it to be.

More than nine in 10 renewable power projects globally are now cheaper than fossil fuel alternatives.
Solar power is about 41% cheaper than the lowest-cost fossil fuel alternative,
and onshore wind generation is less than half the price of fossil fuels, according to a report from the International Renewable Energy Agency.
Costs have been driven down by the increasingly widespread use of the technologies,
a huge focus on low-carbon manufacturing in China,
and bu…

Denmark's Agency for Digital Government has announced plans to phase out Microsoft software across its offices in favour of open source alternatives, joining a growing European movement challenging the dominance of American tech giants.
https://www.co…

Denmark to replace Microsoft Office with open source alternatives
German state of Schleswig-Holstein also turns its back on Microsoft as Europeans fear being ‘blackmailed’ by Big Tech

Asymptotic analysis of high-dimensional uniformity tests under heavy-tailed alternatives
Tiefeng Jiang, Tuan Pham
https://arxiv.org/abs/2506.00393 https://…

Asymptotic analysis of high-dimensional uniformity tests under heavy-tailed alternatives
We study the high-dimensional uniformity testing problem, which involves testing whether the underlying distribution is the uniform distribution, given $n$ data points on the $p$-dimensional unit hypersphere. While this problem has been extensively studied in scenarios with fixed $p$, only three testing procedures are known in high-dimensional settings: the Rayleigh test \cite{Cutting-P-V}, the Bingham test \cite{Cutting-P-V2}, and the packing test \cite{Jiang13}. Most existing research focuses…

A while ago the media reported that most of the long-distance "suburban" trains between #Wrocław and #Poznań will be discontinued, and instead one will have to change trains midway. Irrespective of whether it's actually going to happen, let's consider it.
As you can probably tell by now, I'm not a stranger to changing trains. In fact, there are some direct connections that I do criticize. For example:
• Poznań — Szczecin — Świnoujście, where arriving at Szczecin Główny and turning back to leave the city is a waste of time. It's better to change trains at Szczecin Dąbie.
• Poznań — Krzyż — Kostrzyn, where instead of using a single railbus, you can use a larger EMU for the Poznań — Krzyż segment, and a smaller DMU for Krzyż — Kostrzyn (in fact, only recently the "direct" Poznań — Kostrzyn train involved just that, but it was supposed to be temporary).
However, good matches are the key. Say:
1. Max 10 minutes (when there are no delays) from one train to the other.
2. "Door-to-door" transfer — without having to carry all your luggage across platforms.
3. Reliable connection — if one train is delayed, the other train waits for it (or there are so many alternatives that it doesn't have to).
Can such a thing happen on Poznań — Wrocław route? I have my doubts.
I've been using these trains for years, and I can say this: there is no effort to match train from/to Poznań with other trains in Wrocław. Sometimes the trains depart 10 minutes before the first train from Poznań arrives, sometimes I need to transfer in 10 minutes, and sometimes I have to wait over an hour. And the same in the other direction.
Perhaps things would actually improve if the route is split. Perhaps people would actually care. Maybe even the trains would be fitted better to the timetable in Wrocław. But I find it hard to believe.
EDIT: One final thought — since there is no real reason to split these connections (except for profiteering), why make travellers' lives harder?
#rail

NeuroCLIP: A Multimodal Contrastive Learning Method for rTMS-treated Methamphetamine Addiction Analysis
Chengkai Wang, Di Wu, Yunsheng Liao, Wenyao Zheng, Ziyi Zeng, Xurong Gao, Hemmings Wu, Zhoule Zhu, Jie Yang, Lihua Zhong, Weiwei Cheng, Yun-Hsuan Chen, Mohamad Sawan
https://arxiv.org/abs/2507.20189

NeuroCLIP: A Multimodal Contrastive Learning Method for rTMS-treated Methamphetamine Addiction Analysis
Methamphetamine dependence poses a significant global health challenge, yet its assessment and the evaluation of treatments like repetitive transcranial magnetic stimulation (rTMS) frequently depend on subjective self-reports, which may introduce uncertainties. While objective neuroimaging modalities such as electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) offer alternatives, their individual limitations and the reliance on conventional, often hand-crafted, feature…

Accurate Mediterranean Sea forecasting via graph-based deep learning
Daniel Holmberg, Emanuela Clementi, Italo Epicoco, Teemu Roos
https://arxiv.org/abs/2506.23900

Accurate Mediterranean Sea forecasting via graph-based deep learning
Accurate ocean forecasting systems are essential for understanding marine dynamics, which play a crucial role in sectors such as shipping, aquaculture, environmental monitoring, and coastal risk management. Traditional numerical solvers, while effective, are computationally expensive and time-consuming. Recent advancements in machine learning have revolutionized weather forecasting, offering fast and energy-efficient alternatives. Building on these advancements, we introduce SeaCast, a neural n…

I will admit that I’m a little surprised for not getting any remarks on this. As I was under the impression that many people using Mastodon are listening to podcasts.
The alternative hypothesis is that the choice of podcast app is very strong and not many are using, or even trying, alternatives. https://hachyderm.io/@al3x/114915731025463996

This https://arxiv.org/abs/2505.19164 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

BroadGen: A Framework for Generating Effective and Efficient Advertiser Broad Match Keyphrase Recommendations
In the domain of sponsored search advertising, the focus of Keyphrase recommendation has largely been on exact match types, which pose issues such as high management expenses, limited targeting scope, and evolving search query patterns. Alternatives like Broad match types can alleviate certain drawbacks of exact matches but present challenges like poor targeting accuracy and minimal supervisory signals owing to limited advertiser usage. This research defines the criteria for an ideal broad matc…

Hierarchical constraints on gravitational waves from horizonless compact objects
Rajrupa Mondal, Julian Westerweck, Yotam Sherf, Collin D. Capano
https://arxiv.org/abs/2506.17215 …

Hierarchical constraints on gravitational waves from horizonless compact objects
We use the data of several promising gravitational wave observations to obtain increasingly stringent bounds on near-horizon deviations of their sources from the Kerr geometry. A range of horizonless compact objects proposed as alternatives to black holes of general relativity would possess a modified gravitational wave emission after the merger. Modelling these objects by introducing reflection of gravitational waves near the horizon, we can measure deviations from Kerr in terms of a single ad…

The VVV near-IR galaxy catalogue of the southern Galactic disc
M. V. Alonso, L. D. Baravalle, J. L. Nilo Castell\'on, C. Villalon, M. Soto, M. A. Sgr\'o, I. V. Daza Perilla, C. Valotto, M. Lares, D. Minniti, P. Marchant Cort\'es, F. Milla Castro, M. Hempel, J. Alonso-Garc\'ia, L. Macri, A. Pichel, N. Masetti, R. K. Saito, M. G\'omez

The VVV near-IR galaxy catalogue of the southern Galactic disc
The distribution of galaxies in the Zone of Avoidance (ZoA) is incomplete due to the presence of our own Galaxy. Our research focused on the identification and characterisation of galaxies in the ZoA, using the new near-infrared data from the VVVX survey in the regions that cover the southern Galactic disc. We used our previously-established procedure based on photometric and morphological criteria to identify galaxies. The large data volume collected by the VVVX required alternatives to visual…

Over the Stability Space of a Multivariate Time Series
Roberto V\'asquez-Mart\'inez, Graciela Gonz\'alez-Far\'ias, Jos\'e Ulises M\'arquez Urbina, Francisco Corona
https://arxiv.org/abs/2506.22407

Over the Stability Space of a Multivariate Time Series
This paper jointly addresses the challenges of non-stationarity and high dimensionality in analysing multivariate time series. Building on the classical concept of cointegration, we introduce a more flexible notion, called stability space, aimed at capturing stationary components in settings where traditional assumptions may not hold. We examine the parametric Johansen procedure alongside two non-parametric alternatives based on dimensionality reduction techniques: Partial Least Squares and Pri…

Seen a few of those band T-shirts around where they have the surnames of the band members on them and nothing else. They’ve had me trying to think of some supremely nerdy alternatives to get printed.
I’ve come up with two so far:
Różycki
Zygalski
Rejewski
&
Penney
Cockroft
Hinton
Care to suggest any more?
#nerd

Modal Logic for Stratified Becoming: Actualization Beyond Possible Worlds
Alexandre Le Nepvou
https://arxiv.org/abs/2506.17276 https://

Modal Logic for Stratified Becoming: Actualization Beyond Possible Worlds
This article develops a novel framework for modal logic based on the idea of stratified actualization, rather than the classical model of global possible worlds. Traditional Kripke semantics treat modal operators as quantification over fully determinate alternatives, neglecting the local, dynamic, and often asymmetric nature of actualization processes. We propose a system Stratified Actualization Logic (SAL) in which modalities are indexed by levels of ontological stability, interpreted as admi…

Adaptive random compiler for Hamiltonian simulation
Yun-Zhuo Fan, Yu-Xia Wu, Dan-Bo Zhang
https://arxiv.org/abs/2506.15466 https://ar…

Adaptive random compiler for Hamiltonian simulation
Randomized compilation protocols have recently attracted attention as alternatives to traditional deterministic Trotter-Suzuki methods, potentially reducing circuit depth and resource overhead. These protocols determine gate application probabilities based on the strengths of Hamiltonian terms, as measured by the trace norm. However, relying solely on the trace norm to define sampling distributions may not be optimal, especially for continuous-variable and hybrid-variable systems involving unbo…

Who Leads in the Shadows? ERGM and Centrality Analysis of Congressional Democrats on Bluesky
Gordon Hew, Ian McCulloh
https://arxiv.org/abs/2507.16858 https://

Who Leads in the Shadows? ERGM and Centrality Analysis of Congressional Democrats on Bluesky
Following the 2024 U.S. presidential election, Democratic lawmakers and their supporters increasingly migrated from mainstream social media plat-forms like X (formerly Twitter) to decentralized alternatives such as Bluesky. This study investigates how Congressional Democrats use Bluesky to form networks of influence and disseminate political messaging in a platform environment that lacks algorithmic amplification. We employ a mixed-methods approach that combines social network analysis, expo-ne…

Fast prediction of the hydrodynamic QGP evolution in ultra-relativistic heavy-ion collisions using Fourier Neural Operators
David Stewart, Joern Putschke
https://arxiv.org/abs/2507.23598

Fast prediction of the hydrodynamic QGP evolution in ultra-relativistic heavy-ion collisions using Fourier Neural Operators
Recent research in machine learning has employed neural networks to learn mappings between function spaces on bounded domains termed ``neural operators''. As such, these operators can provide alternatives to standard numerical methods for partial differential equation (PDE) solutions. In particular, the Fourier Neural Operator (FNO) has been shown to map solutions for classical fluid flow problems with accuracy competitive with traditional PDE solvers and with much greater computing speed. This…

A recent discussion on open-source Photoshop alternatives (https://mastodon.design/@candidexmedia/114558704815706042) led me down a rabbit hole of image background removal in @…

ACT: Bridging the Gap in Code Translation through Synthetic Data Generation & Adaptive Training
Shreya Saxena, Siva Prasad, Zishan Ahmad, Vishal Vaddina
https://arxiv.org/abs/2507.16478

ACT: Bridging the Gap in Code Translation through Synthetic Data Generation & Adaptive Training
Code translation is a crucial process in software development and migration projects, enabling interoperability between different programming languages and enhancing software adaptability and thus longevity. Traditional automated translation methods rely heavily on handcrafted transformation rules, which often lack flexibility and scalability. Meanwhile, advanced language models present promising alternatives but are often limited by proprietary, API-based implementations that raise concerns ov…

Beyond utility: incorporating eye-tracking, skin conductance and heart rate data into cognitive and econometric travel behaviour models
Thomas O. Hancock, Stephane Hess, Charisma F. Choudhury
https://arxiv.org/abs/2506.18068

Beyond utility: incorporating eye-tracking, skin conductance and heart rate data into cognitive and econometric travel behaviour models
Choice models for large-scale applications have historically relied on economic theories (e.g. utility maximisation) that establish relationships between the choices of individuals, their characteristics, and the attributes of the alternatives. In a parallel stream, choice models in cognitive psychology have focused on modelling the decision-making process, but typically in controlled scenarios. Recent research developments have attempted to bridge the modelling paradigms, with choice models th…

Identification for Molecular Communication Based on Diffusion Channel with Poisson Reception Process
Yaning Zhao, Luca Miszewski, Christian Deppe, Massimiliano Pierobon
https://arxiv.org/abs/2506.14360

Identification for Molecular Communication Based on Diffusion Channel with Poisson Reception Process
Molecular communication (MC) enables information exchange at the nano- and microscale, with applications in areas like drug delivery and health monitoring. These event-driven scenarios often require alternatives to traditional transmission. Identification communication, introduced by Ahlswede and Dueck, offers such an approach, in which the receiver only determines whether a specific message was sent, suiting resource-limited and event-triggered systems. This paper combines MC with identificati…

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration
Ruiyin Li, Yiran Zhang, Xiyu Zhou, Peng Liang, Weisong Sun, Jifeng Xuan, Zhi Jin, Yang Liu
https://arxiv.org/abs/2507.21382

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration
Software architecture design is a critical, yet inherently complex and knowledge-intensive phase of software development. It requires deep domain expertise, development experience, architectural knowledge, careful trade-offs among competing quality attributes, and the ability to adapt to evolving requirements. Traditionally, this process is time-consuming and labor-intensive, and relies heavily on architects, often resulting in limited design alternatives, especially under the pressures of agil…

Canadians who are interested in passenger rail should take a look at what is happening in Mexico right now. They have a National Railway Plan to build 3400km of passenger rail track alongside existing private freight.
CPKC (the merged Canadian Pacific, Kansas City Southern railway) is front and centre.
"CPKC is actively collaborating with the Mexican government to support implementation specifically for the Mexico City – Queretaro and the Saltillo – Nuevo Laredo segments,” the Class I told Vantuono. “CPKC is making steady progress, actively and closely working with Mexican authorities on technical review of project segments. That includes providing detailed assessments and alternatives to facilitate decision-making, and mutual agreements. We are working toward clear agreements that minimize shared infrastructure usage between passenger and freight services. Where interactions are unavoidable, CPKC has proposed infrastructure solutions and operational adjustments, ensuring that the impacts on freight operations and growth remains minimal.””
#Transportation #Railway #Canada #CanPoli #ClimateChange #ClimateAction #EndFossilFuels

« To the extent that we are stuck for now with untrustworthy LLMs that nobody can quite control, rapidly enshittifying the internet with botshit and replacing humans with systems that can’t be relied on, it is in part because we have spent too much energy pursuing the pure neural net black box approach, and not enough into looking at alternatives. We are drowning in a sea of mediocre prose precisely because LLMs, the backbone of virtually all current sytems, lack the underlying representatio…

How o3 and Grok 4 Accidentally Vindicated Neurosymbolic AI
Neurosymbolic AI is quietly winning. Here’s what that means – and why it took so long

Permutation Tests Based on the Copula-Graphic Estimator and Their Use for Survival Tree Construction
Pauline Baur, Markus Pauly, Takeshi Emura
https://arxiv.org/abs/2507.20799 h…

Permutation Tests Based on the Copula-Graphic Estimator and Their Use for Survival Tree Construction
Survival trees are popular alternatives to Cox or Aalen regression models that offer both modelling flexibility and graphical interpretability. This paper introduces a new algorithm for survival trees that relaxes the assumption of independent censoring. To this end, we use the copula-graphic estimator to estimate survival functions. This allows us to flexibly specify shape and strength of the dependence of survival and censoring times within survival trees. For splitting, we present a permutat…

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture
Gautam Siddharth Kashyap, Md Tabrez Nafis, Samar Wazir
https://arxiv.org/abs/2506.15737

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture
Training Artificial Neural Networks (ANNs) with Stochastic Gradient Descent (SGD) frequently encounters difficulties, including substantial computing expense and the risk of converging to local optima, attributable to its dependence on partial weight gradients. Therefore, this work investigates Particle Swarm Optimization (PSO) and Genetic Algorithms (GAs) - two population-based Metaheuristic Optimizers (MHOs) - as alternatives to SGD to mitigate these constraints. A hybrid PSO-SGD strategy is …

Impact of Buchdahl metric potential on thin-shell gravastar framework in de Rham-Gabadadze-Tolley like massive gravity
Meghanil Sinha, S. Surendra Singh
https://arxiv.org/abs/2506.11171

Impact of Buchdahl metric potential on thin-shell gravastar framework in de Rham-Gabadadze-Tolley like massive gravity
This paper presents a study on gravitational vacuum stars (gravastars) with an isotropic matter distribution in de Rham-Gabadadze-Tolley (dRGT) massive gravity incorporating Buchdahl metric function. Here we have conducted an analysis on thin-shell singularity-free gravastar configuration. The study demonstrates the viability of gravastars as alternatives to black holes (BHs) in this massive gravity. Our research yields singularity free analytical solutions for gravastar interior and without ev…

Optimization-Based Image Restoration under Implementation Constraints in Optical Analog Circuits
Taisei Kato, Ryo Hayakawa, Soma Furusawa, Kazunori Hayashi, Youji Iiguni
https://arxiv.org/abs/2506.14624

Optimization-Based Image Restoration under Implementation Constraints in Optical Analog Circuits
Optical analog circuits have attracted attention as promising alternatives to traditional electronic circuits for signal processing tasks due to their potential for low-latency and low-power computations. However, implementing iterative algorithms on such circuits presents challenges, particularly due to the difficulty of performing division operations involving dynamically changing variables and the additive noise introduced by optical amplifiers. In this study, we investigate the feasibility …

Optimizing Shanghai's Household Waste Recycling Collection Program by Decision-Making based on Mathematical Modeling
Jiaxuan Chen, Ling Zhou Shen, Jinchen Liu
https://arxiv.org/abs/2507.03844

Optimizing Shanghai's Household Waste Recycling Collection Program by Decision-Making based on Mathematical Modeling
In this article, we will discuss the optimization of Shanghai's recycling collection program, with the core of the task as making a decision among the choice of the alternatives. We will be showing a vivid and comprehensive application of the classical mathematical multi-criteria decision model: Analytical Hierarchy Process (AHP), using the eigenvector method. We will also seek the key criteria for the sustainability development of human society, by assessing the important elements of waste rec…

This https://arxiv.org/abs/2505.20111 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Preference Disaggregation Analysis with Criteria Selection in a Regularization Framework
Limited by cognitive abilities, decision-makers (DMs) may struggle to evaluate decision alternatives based on all criteria in multiple criteria decision-making problems. This paper proposes an embedded criteria selection method derived from preference disaggregation technique and regularization theory. The method aims to infer the criteria and value functions used by the DM to evaluate decision alternatives. It measures the quality of criteria subsets by investigating both the empirical error (…

Decision-making in light-trapped slime molds involves active mechanical processes
Lisa Schick, Emily Eichenlaub, Fabian Drexel, Alexander Mayer, Siyu Chen, Marcus Roper, Karen Alim
https://arxiv.org/abs/2506.12803

Decision-making in light-trapped slime molds involves active mechanical processes
Decision-making is the process of selecting an action among alternatives, allowing biological and artificial systems to navigate complex environments and optimize behavior. While neural systems rely on neuron-based sensory processing and evaluation, decision-making also occurs in organisms without a centralized organizing unit, such as the unicellular slime mold \textit{Physarum polycephalum}. Unlike neural systems, P. polycephalum relies on rhythmic peristaltic contractions to drive internal f…

Unified reconstruction of the Lyman-alpha power spectrum with Hamiltonian Monte Carlo
N. G. Kara\c{c}ayl{\i}, P. L. Taylor
https://arxiv.org/abs/2506.08198

Unified reconstruction of the Lyman-alpha power spectrum with Hamiltonian Monte Carlo
The complex geometry of the Ly$α$ forest data has motivated the use of various two-point statistics as alternatives to the three-dimensional power spectrum ($P_{\mathrm{3D}}$), which carries cosmological information in Fourier space. On large scales, the three-dimensional correlation function ($ξ_\mathrm{3D}$) has provided robust measurements of the baryon acoustic oscillation (BAO) scale at 150 Mpc. On smaller scales, the one-dimensional power spectrum, $P_{\mathrm{1D}}(k_\|)$, has been…

Experimental Assessment of A Framework for In-body RF-backscattering Localization
Noa Jie Vives Zaguirre, Oscar Lasierra, Filip Lemic, Gerard Calvo Bartra, Pablo Jos\'e Galv\'an Calder\'on, Gines Garcia-Aviles, Sergi Abadal, Xavier Costa-P\'erez
https://arxiv.org/abs/2506.19499

Experimental Assessment of A Framework for In-body RF-backscattering Localization
Localization of in-body devices is beneficial for Gastrointestinal (GI) diagnosis and targeted treatment. Traditional methods such as imaging and endoscopy are invasive and limited in resolution, highlighting the need for innovative alternatives. This study presents an experimental framework for Radio Frequency (RF)-backscatter-based in-body localization, inspired by the ReMix approach, and evaluates its performance in real-world conditions. The experimental setup includes an in-body backscatte…

Re: https://zeroes.ca/@broadwaybabyto/114804470667350177
Yeah, I still do most of my weekly shopping at one of the big UK supermarkets (Tesco currently, switched from Sainsbury's when they just Would Not Stop advertising on GB News), because I only have so many…

A General Test for Independent and Identically Distributed Hypothesis
Tongyu Li, Jonas Mueller, Fang Yao
https://arxiv.org/abs/2506.22361 https://

A General Test for Independent and Identically Distributed Hypothesis
We propose a simple and intuitive test for arguably the most prevailing hypothesis in statistics that data are independent and identically distributed (IID), based on a newly introduced off-diagonal sequential U-process. This IID test is fully nonparametric and applicable to random objects in general spaces, while requiring no specific alternatives such as structural breaks or serial dependence, which allows for detecting general types of violations of the IID assumption. An easy-to-implement j…

Ricardo Mendes, born and raised within the Buddhist cult-like community Ogyen Kunzang Choling (OKC), describes in his testimony how this community, initially founded on ideals of spirituality, communal living, and alternatives to Western society, gradually became a sectarian organization

Adaptive Graph Shrinking for Quantum Optimization of Constrained Combinatorial Problems
Monit Sharma, Hoong Chuin Lau
https://arxiv.org/abs/2506.14250 http…

Adaptive Graph Shrinking for Quantum Optimization of Constrained Combinatorial Problems
A range of quantum algorithms, especially those leveraging variational parameterization and circuit-based optimization, are being studied as alternatives for solving classically intractable combinatorial optimization problems (COPs). However, their applicability is limited by hardware constraints, including shallow circuit depth, limited qubit counts, and noise. To mitigate these issues, we propose a hybrid classical--quantum framework based on graph shrinking to reduce the number of variables …

Sources: Mistral AI has closed or is closing a handful of commercial contracts, each worth $100M over three to five years, as it expands its own infrastructure (Financial Times)
https://www.ft.com/content/65f79839-d637-48a7-a0f2-3fab8952b315

Europe’s Mistral benefits from search for artificial intelligence alternatives
Start-up has embarked on expansion of its own infrastructure and secured significant contracts

Analyzing Internal Activity and Robustness of SNNs Across Neuron Parameter Space
Szymon Mazurek, Jakub Caputa, Maciej Wielgosz
https://arxiv.org/abs/2507.14757

Analyzing Internal Activity and Robustness of SNNs Across Neuron Parameter Space
Spiking Neural Networks (SNNs) offer energy-efficient and biologically plausible alternatives to traditional artificial neural networks, but their performance depends critically on the tuning of neuron model parameters. In this work, we identify and characterize an operational space - a constrained region in the neuron hyperparameter domain (specifically membrane time constant tau and voltage threshold vth) - within which the network exhibits meaningful activity and functional behavior. Operati…

IML-Spikeformer: Input-aware Multi-Level Spiking Transformer for Speech Processing
Zeyang Song, Shimin Zhang, Yuhong Chou, Jibin Wu, Haizhou Li
https://arxiv.org/abs/2507.07396

IML-Spikeformer: Input-aware Multi-Level Spiking Transformer for Speech Processing
Spiking Neural Networks (SNNs), inspired by biological neural mechanisms, represent a promising neuromorphic computing paradigm that offers energy-efficient alternatives to traditional Artificial Neural Networks (ANNs). Despite proven effectiveness, SNN architectures have struggled to achieve competitive performance on large-scale speech processing task. Two key challenges hinder progress: (1) the high computational overhead during training caused by multi-timestep spike firing, and (2) the abs…

Phillip Bump's farewell after being downsized by #ElHefe #Bezos #WashingtonPost is commentary focused on #DJT being unable to simply sell his on…

The Strategic Imperative for Healthcare Organizations to Build Proprietary Foundation Models
Naresh Tiwari
https://arxiv.org/abs/2506.11412 https://…

The Strategic Imperative for Healthcare Organizations to Build Proprietary Foundation Models
This paper presents a comprehensive analysis of the strategic imperative for healthcare organizations to develop proprietary foundation models rather than relying exclusively on commercial alternatives. We examine four fundamental considerations driving this imperative: the domain-specific requirements of healthcare data representation, critical data sovereignty and governance considerations unique to healthcare, strategic competitive advantages afforded by proprietary AI infrastructure, and th…

Experimental Investigation of Optical Processing With Spatial Light Modulation
Maria Gabriela Damaceno, Antonio Mucherino, Renn\'e Medeiros de Ara\'ujo, Paulo Henrique Souto Ribeiro, Nara Rubiano da Silva
https://arxiv.org/abs/2507.03821

Experimental Investigation of Optical Processing With Spatial Light Modulation
The growing demand for real-time data processing in applications such as neural networks and embedded control systems has spurred the search for faster, more efficient alternatives to traditional electronic systems. In response, we experimentally investigate an optical processing scheme that encodes information in the transverse wavefront of light fields using spatial light modulators. Our goal is to explore the limits on parallelism imposed by technical constraints. We begin by implementing op…

Covalently Integrated CNT@rGO for Superior Conductivity and Cycling Stability in Lithium-Ion Batterie
Junwen Tang, Jingbo Pang, Jie Wang, Huiming Liang, Ao Du, Long Kuang, Xiaoming Cai, Ming Qin, Cuixia Yan, Wu Zhou, Jinming Cai
https://arxiv.org/abs/2507.04296

Covalently Integrated CNT@rGO for Superior Conductivity and Cycling Stability in Lithium-Ion Batterie
The limitations of conventional conductive agents in lithium-ion batteries, such as carbon black and graphite flakes, have driven the search for high-performance alternatives. Carbon nanotubes (CNTs) and graphene offer exceptional conductivity and lower dosage requirements, but face challenges related to high costs and complex fabrication processes. Here, we report a simple and cost-effective one-step chemical vapor deposition (CVD) method for the ultra-high yield growth (7692.31%) of CNTs on a…

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution
Yibo Wang, Zhihao Peng, Ying Wang, Zhao Wei, Hai Yu, Zhiliang Zhu
https://arxiv.org/abs/2506.12728

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution
LLMs demonstrate strong performance in auto-mated software engineering, particularly for code generation and issue resolution. While proprietary models like GPT-4o achieve high benchmarks scores on SWE-bench, their API dependence, cost, and privacy concerns limit adoption. Open-source alternatives offer transparency but underperform in complex tasks, especially sub-100B parameter models. Although quality Chain-of-Thought (CoT) data can enhance reasoning, current methods face two critical flaws:…

At the edge of Donsker's Theorem: Asymptotics of multiscale scan statistics
Johann K\"ohne, Fabian Mies
https://arxiv.org/abs/2506.05112 https://

At the edge of Donsker's Theorem: Asymptotics of multiscale scan statistics
For nonparametric inference about a function, multiscale testing procedures resolve the need for bandwidth selection and achieve asymptotically optimal detection performance against a broad range of alternatives. However, critical values strongly depend on the noise distribution, and we argue that existing methods are either statistically infeasible, or asymptotically sub-optimal. To address this methodological challenge, we show how to develop a feasible multiscale test via weak convergence ar…