Tootfinder

Differences of Cultures (part 328!)
Me (introvert): Has question for colleague. Goes on slack / matrix / signal. Writes a paragraph explaining the context and reason for the info request. Posts it to the abyss in hopes of an answer.
Sister-in-law (extrovert who works for media company): 1 minute video call with colleague. Remembers to use headset because we were making lunch.

On the Submultiplicativity of Matrix Norms Induced by Random Vectors
Ludovick Bouthat
https://arxiv.org/abs/2402.08173 https://arxiv.…

On the Submultiplicativity of Matrix Norms Induced by Random Vectors
In a recent article, Chávez, Garcia and Hurley introduced a new family of norms $\|\cdot\|_{\mathbf{X},d}$ on the space of $n \times n$ complex matrices which are induced by random vectors $\mathbf{X}$ having finite $d$-moments. Therein, the authors asked under which conditions the norms induced by a scalar multiple of $\mathbf{X}$ are submultiplicative. In this paper, this question is completely answered by proving that this is always the case, as long as the entries of $\mathbf{X}$…

This https://arxiv.org/abs/2301.03835 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

A non-compact convex hull in generalized non-positive curvature
In this article, we are interested in metric spaces that satisfy a weak non-positive curvature condition in the sense that they admit a conical geodesic bicombing. We show that the analog of a question of Gromov about compactness properties of convex hulls has a negative answer in this setting. Specifically, we prove that there exists a complete metric space $X$ that admits a conical bicombing $σ$ such that $X$ has a finite subset whose closed $σ$-convex hull is not compact.

This https://arxiv.org/abs/2203.11155 has been replaced.
link: https://scholar.google.com/scholar?q=a

Quantum Neural Network with Density Matrix for Question Answering and Classical Image Classification
Quantum density matrix represents all the information of the entire quantum system, and novel models of meaning employing density matrices naturally model linguistic phenomena such as hyponymy and linguistic ambiguity, among others in quantum question answering tasks. Naturally, we argue that applying the quantum density matrix into classical Question Answering (QA) tasks can show more effective performance. Specifically, we (i) design a new mechanism based on Long Short-Term Memory (LSTM) to a…

When ‘ruthless’ Boeing cut costs, the damage spread: “Crush the workers. Share price. Share price. Share price. Financial moves & metrics come first,” was Boeing’s philosophy, he said. It was, he said, “a ruthless effort to cut costs without any realization of what it could do to capabilities.”
To drive down costs, Boeing chose to aggressively confront first its workforce & its suppliers rather than partner with them. It left both, Aboulafia said, “angry & alienated.”

When 'ruthless' Boeing cut costs, the damage spread
Boeing's leaders are tepidly admitting the shareholders-first, workers-be-damned strategy was flawed. It's an admission a generation in coming.

Nonexistence of Courant-type nodal domain bounds for eigenfunctions of the Dirichlet-to-Neumann operator
Alberto Enciso, Angela Pistoia, Luigi Provenzano
https://arxiv.org/abs/2404.07138

Nonexistence of Courant-type nodal domain bounds for eigenfunctions of the Dirichlet-to-Neumann operator
Given a compact manifold $\mathcal M$ with boundary of dimension $n\geq 3$ and any integers $K$ and $N$, we show that there exists a metric on $\mathcal M$ for which the first $K$ nonconstant eigenfunctions of the Dirichlet-to-Neumann map on $\partial\mathcal M$ have at least $N$ nodal components. This provides a negative answer to the question of whether the number of nodal domains of Dirichlet-to-Neumann eigenfunctions satisfies a Courant-type bound, which has been featured in recent surveys …

PVF (Parameter Vulnerability Factor): A Quantitative Metric Measuring AI Vulnerability and Resilience Against Parameter Corruptions
Xun Jiao, Fred Lin, Harish D. Dixit, Joel Coburn, Abhinav Pandey, Han Wang, Jianyu Huang, Venkat Ramesh, Wang Xu, Daniel Moore, Sriram Sankar
https://arxiv.org/abs/2405.01741

PVF (Parameter Vulnerability Factor): A Quantitative Metric Measuring AI Vulnerability and Resilience Against Parameter Corruptions
Reliability of AI systems is a fundamental concern for the successful deployment and widespread adoption of AI technologies. Unfortunately, the escalating complexity and heterogeneity of AI hardware systems make them inevitably and increasingly susceptible to hardware faults (e.g., bit flips) that can potentially corrupt model parameters. Given this challenge, this paper aims to answer a critical question: How likely is a parameter corruption to result in an incorrect model output? To systemati…

Join Petr Polezhaev at this year's Berlin Buzzwords as he discusses approaches to evaluating LLMs at the end-to-end and task level, focusing on use cases such as question-answering (RAG), and covering metric selection and ways to generate datasets using LLMs. #bbuzz

Vindman: Trump has ‘every intention’ to undo American democracy if reelected 
Retired Army Lt. Col. Alexander Vindman suggested Friday that President Trump has “every intention” to undo American democracy if reelected, as concerns rise over whether the former president would launch a revenge campaign in a second term.
“We might have only one more vote left that really matters,” Vindman said in an interview on MSNBC’s “The Last Word” with anchor Ali Velshi. “If Trump comes to off…

Vindman: Trump has ‘every intention’ to undo American democracy if reelected 
Retired Army Lt. Col. Alexander Vindman suggested Friday that President Trump has “every intention” to undo American democracy if reelected, as concerns rise over whether the former president would launch revenge campaign in a second term. “We might have only one more vote left that really matters,” Vindman said in an interview on MSNBC’s “The…

When ‘ruthless’ Boeing cut costs, the damage spread: “Crush the workers. Share price. Share price. Share price. Financial moves & metrics come first,” was Boeing’s philosophy, he said. It was, he said, “a ruthless effort to cut costs without any realization of what it could do to capabilities.”
To drive down costs, Boeing chose to aggressively confront first its workforce & its suppliers rather than partner with them. It left both, Aboulafia said, “angry & alienated.”

When 'ruthless' Boeing cut costs, the damage spread
Boeing's leaders are tepidly admitting the shareholders-first, workers-be-damned strategy was flawed. It's an admission a generation in coming.