Tootfinder

An interview with ASML CEO Christophe Fouquet, as the company navigates political instability in The Netherlands and abroad and the impacts of Trump's trade war (Adam Satariano/New York Times)
https://www.nytimes.co…

How ASML, a Key Supplier to the Chip Industry, Is Navigating Trump’s Trade War
ASML, the Dutch company that makes multimillion-dollar tools to manufacture advanced semiconductors, is grappling with the repercussions of a tech trade war.

This https://arxiv.org/abs/2406.04788 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepp…

Detection Prospects of Millicharged Dark Matter in Unconventional Interferometer
We propose a novel idea to discover millicharged particles (mCPs) captured by the earth during its existence. It has been demonstrated that the mCPs accumulation inside the earth leads to the enhancement of its number density much larger than the corresponding virial density. We propose to utilize an unconventional laser interferometer to probe these earth-bound mCPs through the detection of the photons's phase shift. We demonstrate that, for mCPs mass in the range between $1$ GeV to $10^{12}$ …

This https://arxiv.org/abs/2504.14522 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

Biased by Design: Leveraging AI Inherent Biases to Enhance Critical Thinking of News Readers
This paper explores the design of a propaganda detection tool using Large Language Models (LLMs). Acknowledging the inherent biases in AI models, especially in political contexts, we investigate how these biases might be leveraged to enhance critical thinking in news consumption. Countering the typical view of AI biases as detrimental, our research proposes strategies of user choice and personalization in response to a user's political stance, applying psychological concepts of confirmation bia…

Even if the $180bn claim isn’t bullshit (I’m reasonably confident it’s bullshit), why aren't we acknowledging this makes Musk’s failure rate in government 91%?
https://www.bbc.com/news/articles/c5yg98rl717o

Trump 'disappointed' with Elon Musk's attacks on budget bill
In response, Musk accused the president of "Such ingratitude", adding: "Without me, Trump would have lost the election".

This https://arxiv.org/abs/2502.14948 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

Learning to Solve and Verify: A Self-Play Framework for Code and Test Generation
Recent advances in large language models (LLMs) have improved their performance on coding benchmarks. However, improvement is plateauing due to the exhaustion of readily available high-quality data. Prior work has shown the potential of synthetic self-instruct data, but naively training on a model's own outputs can cause error accumulation, especially in coding tasks, where generalization may collapse due to overly simple or erroneous training data, highlighting the need for rigorous quality ch…

This https://arxiv.org/abs/2502.06466 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Inflatable Kirigami Crawlers
Kirigami offers unique opportunities for guided morphing by leveraging the geometry of the cuts. This work presents inflatable kirigami crawlers created by introducing cut patterns into heat-sealable textiles to achieve locomotion upon cyclic pneumatic actuation. Inflating traditional air pouches results in symmetric bulging and contraction. In inflated kirigami actuators, the accumulated compressive forces uniformly break the symmetry, enhance contraction compared to simple air pouches by two …

This https://arxiv.org/abs/2506.03947 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Block Alpha-Circulant Preconditioners for All-at-Once Diffusion-Based Covariance Operators
Covariance matrices are central to data assimilation and inverse methods derived from statistical estimation theory. Previous work has considered the application of an all-at-once diffusion-based representation of a covariance matrix operator in order to exploit inherent parallellism in the underlying problem. In this paper, we provide practical methods to apply block $α$-circulant preconditioners to the all-at-once system for the case where the main diffusion operation matrix cannot be readil…

This https://arxiv.org/abs/2407.11746 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Sparse data assimilation for under-resolved large-eddy simulations
The need for accurate and fast scale-resolving simulations of fluid flows, where turbulent dispersion is a crucial physical feature, is evident. Large-eddy simulations (LES) are computationally more affordable than direct numerical simulations, but their accuracy depends on sub-grid scale models and the quality of the computational mesh. In order to compensate related errors, a data assimilation approach for LES is devised in this work. The presented method is based on variational assimilatio…

This https://arxiv.org/abs/2501.16642 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

FlowDAS: A Stochastic Interpolant-based Framework for Data Assimilation
Data assimilation (DA) integrates observations with a dynamical model to estimate states of PDE-governed systems. Model-driven methods (e.g., Kalman, particle) presuppose full knowledge of the true dynamics, which is not always satisfied in practice, while purely data-driven solvers learn a deterministic mapping between observations and states and therefore miss the intrinsic stochasticity of real processes. Recently, score-based diffusion models learn a global diffusion prior and provide a goo…

The c-Entropy of non-dissipative L-systems
Sergey Belyi, Konstantin A. Makarov, Eduard Tsekanovskii
https://arxiv.org/abs/2506.05144 https://

The c-Entropy of non-dissipative L-systems
In this paper, we extend the definition of c-entropy to canonical L-systems with non-dissipative state-space operators. We also introduce the concepts of dissipation and accumulation coefficients for such systems. In addition, we examine the coupling of these L-systems and derive closed form expressions for the corresponding c-entropy.