Tootfinder

High-precision bootstrap of multi-matrix quantum mechanics
Henry W. Lin, Zechuan Zheng
https://arxiv.org/abs/2507.21007 https://arxiv.org/pdf/2507.21007

High-precision bootstrap of multi-matrix quantum mechanics
We consider matrix quantum mechanics with multiple bosonic matrices, including those obtained from dimensional reduction of Yang-Mills theories. Using the matrix bootstrap, we study simple observables like $\langle \mathop{tr} X^2 \rangle$ in the confining phase of the theory in the infinite $N$ limit. By leveraging the symmetries of these models and using non-linear relaxation, we consider constraints up to level 14, e.g., constraints from traces of words of length $\le 14$. Our results are mo…

People Are Highly Cooperative with Large Language Models, Especially When Communication Is Possible or Following Human Interaction
Pawe{\l} Niszczota, Tomasz Grzegorczyk, Alexander Pastukhov
https://arxiv.org/abs/2507.18639

People Are Highly Cooperative with Large Language Models, Especially When Communication Is Possible or Following Human Interaction
Machines driven by large language models (LLMs) have the potential to augment humans across various tasks, a development with profound implications for business settings where effective communication, collaboration, and stakeholder trust are paramount. To explore how interacting with an LLM instead of a human might shift cooperative behavior in such settings, we used the Prisoner's Dilemma game -- a surrogate of several real-world managerial and economic scenarios. In Experiment 1 (N=100), part…

DBMS-LLM Integration Strategies in Industrial and Business Applications: Current Status and Future Challenges
Zhengtong Yan, Gongsheng Yuan, Qingsong Guo, Jiaheng Lu
https://arxiv.org/abs/2507.19254

DBMS-LLM Integration Strategies in Industrial and Business Applications: Current Status and Future Challenges
Modern enterprises are increasingly driven by the DATA+AI paradigm, in which Database Management Systems (DBMSs) and Large Language Models (LLMs) have become two foundational infrastructures powering a wide range of industrial and business applications, such as enterprise analytics, intelligent customer service, and data-driven decision-making. The efficient integration of DBMSs and LLMs within a unified system offers significant opportunities but also introduces new technical challenges. This …

V2X-REALM: Vision-Language Model-Based Robust End-to-End Cooperative Autonomous Driving with Adaptive Long-Tail Modeling
Junwei You, Pei Li, Zhuoyu Jiang, Zilin Huang, Rui Gan, Haotian Shi, Bin Ran
https://arxiv.org/abs/2506.21041

V2X-REALM: Vision-Language Model-Based Robust End-to-End Cooperative Autonomous Driving with Adaptive Long-Tail Modeling
Ensuring robust planning and decision-making under rare, diverse, and visually degraded long-tail scenarios remains a fundamental challenge for autonomous driving in urban environments. This issue becomes more critical in cooperative settings, where vehicles and infrastructure jointly perceive and reason across complex environments. To address this challenge, we propose V2X-REALM, a vision-language model (VLM)-based framework with adaptive multimodal learning for robust cooperative autonomous d…

🇺🇦 #NowPlaying on BBCRadio3's #MusicMap
Camille Saint‐Saëns, Mischa Maisky & Orpheus Chamber Orchestra:
🎵 Le carnaval des animaux, R. 125: Le cygne
#CamilleSaintSaëns #MischaMaisky #OrpheusChamberOrchestra
https://open.spotify.com/track/6IOSF3p9byD5l3R9fZUcH9

How to use quantum computers for biomolecular free energies
Jakob G\"unther, Thomas Weymuth, Moritz Bensberg, Freek Witteveen, Matthew S. Teynor, F. Emil Thomasen, Valentina Sora, William Bro-J{\o}rgensen, Raphael T. Husistein, Mihael Erakovic, Marek Miller, Leah Weisburn, Minsik Cho, Marco Eckhoff, Aram W. Harrow, Anders Krogh, Troy Van Voorhis, Kresten Lindorff-Larsen, Gemma Solomon, Markus Reiher, Matthias Christandl

How to use quantum computers for biomolecular free energies
Free energy calculations are at the heart of physics-based analyses of biochemical processes. They allow us to quantify molecular recognition mechanisms, which determine a wide range of biological phenomena from how cells send and receive signals to how pharmaceutical compounds can be used to treat diseases. Quantitative and predictive free energy calculations require computational models that accurately capture both the varied and intricate electronic interactions between molecules as well as …

"""
"[…] Wanting a man got me into awful troubles more than once. But wanting to get married, never! No, no. None of that for me."
"Why not?" Tenar demanded.
Taken aback, Moss said simply, "Why, what man'd marry a witch?" And then, with a sidelong chewing motion of her jaw, like a sheep shifting its cud, “And what witch’d marry a man?"
They split rushes.
"What's wrong with men?" Tenar inquired cautiously.
As cautiously, lowering her voice, Moss replied, "I don't know, my dearie. I’ve thought on it. Often I’ve thought on it. The best I can say it is like this. A man’s in his skin, see, like a nut in its shell." She held up her long, bent, wet fingers as if holding a walnut. “It’s hard and strong, that shell, and it’s all full of him. Full of grand man-meat, man-self. And that’s all. That’s all there is. It’s all him and nothing else, inside."
Tenar pondered awhile and finally asked, "But if he's a wizard—"
"Then it's all his power, inside. His power’s himself, see. That’s how it is with him. And that’s all. When his power goes, he’s gone. Empty." She cracked the unseen walnut and tossed the shells away. “Nothing."
"And a woman, then?"
"Oh, well, dearie, a woman's a different thing entirely. Who knows where a woman begins and ends? Listen, mistress, I have roots, I have roots deeper than this island. Deeper than the sea, older than the raising of the lands. I go back into the dark." Moss’s eyes shone with a weird brightness in their red rims and her voice sang like an instrument. “I go back into the dark! Before the moon I was. No one knows, no one knows, no one can say what I am, what a woman is, a woman of power, a woman’s power, deeper than the roots of trees, deeper than the roots of islands, older than the Making, older than the moon. Who dares ask questions of the dark? Who’ll ask the dark its name?"
"""
(Ursula K. Le Guin, Tehanu)

Decentralized AI-driven IoT Architecture for Privacy-Preserving and Latency-Optimized Healthcare in Pandemic and Critical Care Scenarios
Harsha Sammangi (Dakota State University), Aditya Jagatha (College of Business,Information Systems, Dakota State University), Giridhar Reddy Bojja (College of Business, Michigan Technological University), Jun Liu (College of Business,I.S, Dakota State University)

Decentralized AI-driven IoT Architecture for Privacy-Preserving and Latency-Optimized Healthcare in Pandemic and Critical Care Scenarios
AI Innovations in the IoT for Real-Time Patient Monitoring On one hand, the current traditional centralized healthcare architecture poses numerous issues, including data privacy, delay, and security. Here, we present an AI-enabled decentralized IoT architecture that can address such challenges during a pandemic and critical care settings. This work presents our architecture to enhance the effectiveness of the current available federated learning, blockchain, and edge computing approach, maximiz…

Pixels Under Pressure: Exploring Fine-Tuning Paradigms for Foundation Models in High-Resolution Medical Imaging
Zahra TehraniNasab, Amar Kumar, Tal Arbel
https://arxiv.org/abs/2508.14931

Pixels Under Pressure: Exploring Fine-Tuning Paradigms for Foundation Models in High-Resolution Medical Imaging
Advancements in diffusion-based foundation models have improved text-to-image generation, yet most efforts have been limited to low-resolution settings. As high-resolution image synthesis becomes increasingly essential for various applications, particularly in medical imaging domains, fine-tuning emerges as a crucial mechanism for adapting these powerful pre-trained models to task-specific requirements and data distributions. In this work, we present a systematic study, examining the impact of …

Bend It, Aim It, Tap It: Designing an On-Body Disambiguation Mechanism for Curve Selection in Mixed Reality
Xiang Li, Per Ola Kristensson
https://arxiv.org/abs/2508.13748 https:…

Bend It, Aim It, Tap It: Designing an On-Body Disambiguation Mechanism for Curve Selection in Mixed Reality
Object selection in Mixed Reality (MR) becomes particularly challenging in dense or occluded environments, where traditional mid-air ray-casting often leads to ambiguity and reduced precision. We present two complementary techniques: (1) a real-time Bezier Curve selection paradigm guided by finger curvature, enabling expressive one-handed trajectories, and (2) an on-body disambiguation mechanism that projects the four nearest candidates onto the user's forearm via proximity-based mapping. Toget…