Tootfinder

AI-Guided Quantum Material Simulator for Education. Case Example: The Neuromorphic Materials Calculator 2025
Santiago D. Barrionuevo, Myriam H. Aguirre
https://arxiv.org/abs/2509.20372

AI-Guided Quantum Material Simulator for Education. Case Example: The Neuromorphic Materials Calculator 2025
Teaching and learning in advanced materials science are often limited by two barriers: the technical complexity of quantum-mechanical simulations and the lack of individualized support in inquiry-based education. Here, we introduce the Neuromorphic Materials Calculator 2025 (NMC2025), a command-line platform that integrates a conversational artificial intelligence (AI) tutor with automated simulation workflows. NMC2025 combines large language model (LLM) guidance, real-time literature feedback,…

Filing: Musk and X agree to settle a lawsuit by Twitter's ex-CEO Parag Agrawal, chief legal officer Vijaya Gadde, and others over $128M in unpaid severance (Jess Weatherbed/The Verge)
https://www.theverge.com/news/796239/elon-musk-x-128-milli…

Elon Musk will settle $128 million Twitter execs lawsuit
Elon Musk has agreed to settle with Twitter’s former top executives, after they sued the billionaire over more than $128 million in unpaid severance.

Dynamics of Quantum Analogs of Classical Impact Oscillators
Arnab Acharya, Titir Mukherjee, Deepshikha Singh, Soumitro Banerjee
https://arxiv.org/abs/2509.12835 https://

Dynamics of Quantum Analogs of Classical Impact Oscillators
This paper investigates the dynamics of quantum analogs of classical impact oscillators to explore how complex nonlinear behaviors manifest in quantum systems. While classical impact oscillators exhibit chaos and bifurcations, quantum systems, governed by linear equations, appear to forbid such dynamics. Through simulations of unforced, forced, and dissipative quantum oscillators, we uncover quasiperiodicity, strange nonchaotic dynamics, and even chaos in the presence of dissipation. Using entr…

Toward Ownership Understanding of Objects: Active Question Generation with Large Language Model and Probabilistic Generative Model
Saki Hashimoto, Shoichi Hasegawa, Tomochika Ishikawa, Akira Taniguchi, Yoshinobu Hagiwara, Lotfi El Hafi, Tadahiro Taniguchi
https://arxiv.org/abs/2509.12754

Toward Ownership Understanding of Objects: Active Question Generation with Large Language Model and Probabilistic Generative Model
Robots operating in domestic and office environments must understand object ownership to correctly execute instructions such as ``Bring me my cup.'' However, ownership cannot be reliably inferred from visual features alone. To address this gap, we propose Active Ownership Learning (ActOwL), a framework that enables robots to actively generate and ask ownership-related questions to users. ActOwL employs a probabilistic generative model to select questions that maximize information gain, thereby …

Rumble agrees to acquire German AI infrastructure company Northern Data in an up to $970M deal, set to close in Q2 2026; both companies are backed by Tether (Billy Gray/Wall Street Journal)
https://www.wsj.com/b…

Curiosity-Driven Co-Development of Action and Language in Robots Through Self-Exploration
Theodore Jerome Tinker, Kenji Doya, Jun Tani
https://arxiv.org/abs/2510.05013 https://

Curiosity-Driven Co-Development of Action and Language in Robots Through Self-Exploration
Human infants acquire language and action co-developmentally, achieving remarkable generalization capabilities from only a minimal number of learning examples. In contrast, recent large language models require exposure to billions of training tokens to achieve such generalization. What mechanisms underlie such efficient developmental learning in humans? This study addresses this question through simulation experiments in which robots learn to perform various actions corresponding to imperative …

Multi-Robot Task Planning for Multi-Object Retrieval Tasks with Distributed On-Site Knowledge via Large Language Models
Kento Murata, Shoichi Hasegawa, Tomochika Ishikawa, Yoshinobu Hagiwara, Akira Taniguchi, Lotfi El Hafi, Tadahiro Taniguchi
https://arxiv.org/abs/2509.12838

Multi-Robot Task Planning for Multi-Object Retrieval Tasks with Distributed On-Site Knowledge via Large Language Models
It is crucial to efficiently execute instructions such as "Find an apple and a banana" or "Get ready for a field trip," which require searching for multiple objects or understanding context-dependent commands. This study addresses the challenging problem of determining which robot should be assigned to which part of a task when each robot possesses different situational on-site knowledge-specifically, spatial concepts learned from the area designated to it by the user. We propose a task plannin…

USA genehmigen Ukraine-Hilfen
Das US-Außenministerium hat den potenziellen Verkauf von Starlink-Diensten sowie von "Patriot"-Luftabwehrsystemen und zugehöriger Ausrüstung an die Ukraine genehmigt.
Die US-Regierung hatte sich mit ihren europäischen Verbündeten darauf geeinigt, die militärische Unterstützung für Kiew zu verstärken. Trotz der Genehmigung durch das US-Außenministerium ist unklar, ob entsprechende Verträge schon …
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Ukraine-Liveblog: ++ Erneut russische Drohnenangriffe ++
Nach ukrainischen Angaben hat Russland das Land erneut massiv angegriffen - aus der Region Saporischschja wird ein Toter gemeldet. Nach Angaben des Weißen Hauses hoffen die USA weiter auf ein Treffen von Putin und Selenskyj.