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- Edith talks to Rachel Portman
Edith Bowman curates your weekly selection of standout scores and soundtracks, talks to Oscar winning composer Rachel Portman and discovers Graham Norton's Pick of the Flicks.
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https://www.bbc.co.uk/programmes/m002lc44

Instability of the Sherman-Morrison formula and stabilization by iterative refinement
Behnam Hashemi, Yuji Nakatsukasa
https://arxiv.org/abs/2510.01696 https://

Instability of the Sherman-Morrison formula and stabilization by iterative refinement
Owing to its simplicity and efficiency, the Sherman-Morrison (SM) formula has seen widespread use across various scientific and engineering applications for solving rank-one perturbed linear systems of the form $(A+uv^T)x = b$. Although the formula dates back at least to 1944, its numerical stability properties have remained an open question and continue to be a topic of current research. We analyze the backward stability of the SM, demonstrate its instability in a scenario increasingly common …

RFK Jr. concedes administration lacks scientific evidence on Tylenol claims (Steve Benen/MSNBC)
https://www.msnbc.com/rachel-maddow-show/maddowblog/rfk-jr-concedes-administration-lacks-scientific-evidence-tylenol-claim-rcna241150
http://www.memeorandum.com/251031/p117#a251031p117

Prompting the Market? A Large-Scale Meta-Analysis of GenAI in Finance NLP (2022-2025)
Paolo Pedinotti, Peter Baumann, Nathan Jessurun, Leslie Barrett, Enrico Santus
https://arxiv.org/abs/2509.09544

Prompting the Market? A Large-Scale Meta-Analysis of GenAI in Finance NLP (2022-2025)
Large Language Models (LLMs) have rapidly reshaped financial NLP, enabling new tasks and driving a proliferation of datasets and diversification of data sources. Yet, this transformation has outpaced traditional surveys. In this paper, we present MetaGraph, a generalizable methodology for extracting knowledge graphs from scientific literature and analyzing them to obtain a structured, queryable view of research trends. We define an ontology for financial NLP research and apply an LLM-based extr…

The Role of Quantum Computing in Advancing Scientific High-Performance Computing: A perspective from the ADAC Institute
Gilles Buchs, Thomas Beck, Ryan Bennink, Daniel Claudino, Andrea Delgado, Nur Aiman Fadel, Peter Groszkowski, Kathleen Hamilton, Travis Humble, Neeraj Kumar, Ang Li, Phillip Lotshaw, Olli Mukkula, Ryousei Takano, Amit Saxena, In-Saeng Suh, Miwako Tsuji, Roel Van Beeumen, Ugo Varetto, Yan Wang, Kazuya Yamazaki, Mikael P. Johansson

The Role of Quantum Computing in Advancing Scientific High-Performance Computing: A perspective from the ADAC Institute
Quantum computing (QC) has gained significant attention over the past two decades due to its potential for speeding up classically demanding tasks. This transition from an academic focus to a thriving commercial sector is reflected in substantial global investments. While advancements in qubit counts and functionalities continues at a rapid pace, current quantum systems still lack the scalability for practical applications, facing challenges such as too high error rates and limited coherence ti…

Replaced article(s) found for cs.RO. https://arxiv.org/list/cs.RO/new
[1/2]:
- Real-time Human Finger Pointing Recognition and Estimation for Robot Directives Using a Single We...
Eran Bamani, Eden Nissinman, Lisa Koenigsberg, Inbar Meir, Yoav Matalon, Avishai Sintov