Tootfinder

"My vision of a world with computers is a world in which people have a lot more time to do what they like. Playing tennis, jogging… they’ll have plenty of time to go to the shore. I’d go to the library. I could do my work at home. I could have a computer at home and talk to my office. I could live up on top of a nice mountain in New Hampshire and smell pine trees and it would be the same as if I were here in the sub-sub-subbasement of the Pentagon."
– Grace Hopper

Grace Hopper & David Letterman
Among the many documents available at the Computer History Museum website there is an interesting artifact: a commercial brochure published in 1957 by the Remington Rand UNIVAC, "a division of Sperry Rand Corporation", titled "introducing a new language for automatic programming". In it, we learn about the advantages of the new (at the time) FLOW-MATIC programming language, the brainchild of United States Navy Rear Admiral Grace Murray Hopper.

Sight Guide: A Wearable Assistive Perception and Navigation System for the Vision Assistance Race in the Cybathlon 2024
Patrick Pfreundschuh, Giovanni Cioffi, Cornelius von Einem, Alexander Wyss, Hans Wernher van de Venn, Cesar Cadena, Davide Scaramuzza, Roland Siegwart, Alireza Darvishy
https://arxiv.org/abs/2506.02676

Sight Guide: A Wearable Assistive Perception and Navigation System for the Vision Assistance Race in the Cybathlon 2024
Visually impaired individuals face significant challenges navigating and interacting with unknown situations, particularly in tasks requiring spatial awareness and semantic scene understanding. To accelerate the development and evaluate the state of technologies that enable visually impaired people to solve these tasks, the Vision Assistance Race (VIS) at the Cybathlon 2024 competition was organized. In this work, we present Sight Guide, a wearable assistive system designed for the VIS. The sys…

Quantum Cognition Machine Learning for Forecasting Chromosomal Instability
Giuseppe Di Caro, Vahagn Kirakosyan, Alexander G. Abanov, Luca Candelori, Nadine Hartmann, Ernest T. Lam, Kharen Musaelian, Ryan Samson, Dario Villani, Martin T. Wells, Richard J. Wenstrup, Mengjia Xu
https://arxiv.org/abs/2506.03199

Quantum Cognition Machine Learning for Forecasting Chromosomal Instability
The accurate prediction of chromosomal instability from the morphology of circulating tumor cells (CTCs) enables real-time detection of CTCs with high metastatic potential in the context of liquid biopsy diagnostics. However, it presents a significant challenge due to the high dimensionality and complexity of single-cell digital pathology data. Here, we introduce the application of Quantum Cognition Machine Learning (QCML), a quantum-inspired computational framework, to estimate morphology-pred…

This https://arxiv.org/abs/2505.19381 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

DiffVLA: Vision-Language Guided Diffusion Planning for Autonomous Driving
Research interest in end-to-end autonomous driving has surged owing to its fully differentiable design integrating modular tasks, i.e. perception, prediction and planing, which enables optimization in pursuit of the ultimate goal. Despite the great potential of the end-to-end paradigm, existing methods suffer from several aspects including expensive BEV (bird's eye view) computation, action diversity, and sub-optimal decision in complex real-world scenarios. To address these challenges, we prop…

An Integrated Platform for LEED Certification Automation Using Computer Vision and LLM-RAG
Jooyeol Lee
https://arxiv.org/abs/2506.00888 https://

An Integrated Platform for LEED Certification Automation Using Computer Vision and LLM-RAG
The Leadership in Energy and Environmental Design (LEED) certification process is characterized by labor-intensive requirements for data handling, simulation, and documentation. This paper presents an automated platform designed to streamline key aspects of LEED certification. The platform integrates a PySide6-based user interface, a review Manager for process orchestration, and multiple analysis engines for credit compliance, energy modeling via EnergyPlus, and location-based evaluation. Key c…

Vision-Based Assistive Technologies for People with Cerebral Visual Impairment: A Review and Focus Study
Bhanuka Gamage, Leona Holloway, Nicola McDowell, Thanh-Toan Do, Nicholas Price, Arthur Lowery, Kim Marriott
https://arxiv.org/abs/2505.22983

Vision-Based Assistive Technologies for People with Cerebral Visual Impairment: A Review and Focus Study
Over the past decade, considerable research has investigated Vision-Based Assistive Technologies (VBAT) to support people with vision impairments to understand and interact with their immediate environment using machine learning, computer vision, image enhancement, and/or augmented/virtual reality. However, this has almost totally overlooked a growing demographic: people with Cerebral Visual Impairment (CVI). Unlike ocular vision impairments, CVI arises from damage to the brain's visual process…

This https://arxiv.org/abs/2505.23576 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Cognitive Guardrails for Open-World Decision Making in Autonomous Drone Swarms
Small Uncrewed Aerial Systems (sUAS) are increasingly deployed as autonomous swarms in search-and-rescue and other disaster-response scenarios. In these settings, they use computer vision (CV) to detect objects of interest and autonomously adapt their missions. However, traditional CV systems often struggle to recognize unfamiliar objects in open-world environments or to infer their relevance for mission planning. To address this, we incorporate large language models (LLMs) to reason about dete…

Isospin-violating vacuum polarization in the muon $(g-2)$ with SU(3) flavour symmetry from lattice QCD
Dominik Erb, Antoine G\'erardin, Harvey B. Meyer, Julian Parrino, Volodymyr Biloshytskyi, Vladimir Pascalutsa
https://arxiv.org/abs/2505.24344

Isospin-violating vacuum polarization in the muon $(g-2)$ with SU(3) flavour symmetry from lattice QCD
We compute the isospin-violating part $a_μ^{\text{HVP}, 38}$ of the hadronic-vacuum-polarization (HVP) contribution to the muon $(g-2)$ in lattice QCD at the SU$(3)_{\rm f}$-symmetric point where $M_π=M_K\simeq 416$ MeV. All diagrams involving internal photons are evaluated in coordinate space, employing a Pauli-Villars-regulated photon propagator with a cutoff scale $Λ$ well below the lattice cutoff. The counterterm $(m_u-m_d)$, whose $Λ$ dependence follows the expected logarithmic behavio…

Borrowing on Belief? Consumer Confidence and U.S. Credit -- A VECM Study
Samiha Tariq, Weikang Zhang
https://arxiv.org/abs/2505.21832 https://

Borrowing on Belief? Consumer Confidence and U.S. Credit -- A VECM Study
This study explores the interdependent relationship between consumer credit and consumer confidence in the United States using monthly data from January 1978 to August 2024. Utilizing a Vector Error Correction Model (VECM), the analysis focuses on the interplay between household borrowing behaviour and consumer sentiment while controlling for macroeconomic factors such as interest rates, inflation, unemployment, and money supply. The results reveal a stable long-run equilibrium: heightened cons…

This https://arxiv.org/abs/2504.15962 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Blimp-based Crime Scene Analysis
Crime is a critical problem -- which often takes place behind closed doors, posing additional difficulties for investigators. To bring hidden truths to light, evidence at indoor crime scenes must be documented before any contamination or degradation occurs. Here, we address this challenge from the perspective of artificial intelligence (AI), computer vision, and robotics: Specifically, we explore the use of a blimp as a "floating camera" to drift over and record evidence with minimal disturbanc…