Tootfinder

Influence of Aspect Ratio and Flow Compressibility on Flow Dynamics in a Confined Cavity
Sreejita Bhaduri, Mohammed Ibrahim Sugarno, Ashoke De
https://arxiv.org/abs/2508.12867 h…

Influence of Aspect Ratio and Flow Compressibility on Flow Dynamics in a Confined Cavity
Cavities possess self-sustaining oscillations driven by the interaction of hydrodynamic and acoustic characteristics. These oscillations have applications in fuel-air mixing, heat exchangers, and landing gears, but resonance can damage the structures that house the cavities. Consequently, understanding cavity oscillations under varying geometries and flow conditions is essential for optimizing their benefits while minimizing the adverse effects. The present study investigates flow variations in…

NetMoniAI: An Agentic AI Framework for Network Security & Monitoring
Pallavi Zambare, Venkata Nikhil Thanikella, Nikhil Padmanabh Kottur, Sree Akhil Akula, Ying Liu
https://arxiv.org/abs/2508.10052

NetMoniAI: An Agentic AI Framework for Network Security & Monitoring
In this paper, we present NetMoniAI, an agentic AI framework for automatic network monitoring and security that integrates decentralized analysis with lightweight centralized coordination. The framework consists of two layers: autonomous micro-agents at each node perform local traffic analysis and anomaly detection. A central controller then aggregates insights across nodes to detect coordinated attacks and maintain system-wide situational awareness. We evaluated NetMoniAI on a local micro-test…

Whole-Person Education for AI Engineers
Rubaina Khan, Tammy Mackenzie, Sreyoshi Bhaduri, Animesh Paul, Branislav Radelji\'c, Joshua Owusu Ansah, Beyza Nur Guler, Indrani Bhaduri, Rodney Kimbangu, Nils Ever Murrugarra Llerena, Hayoung Shin, Lilianny Virguez, Rosa Paccotacya Yanque, Thomas Mekha\"el, Allen Munoriyarwa, Leslie Salgado, Debarati Basu, Curwyn Mapaling, Natalie Perez, Yves Gaudet, Paula Larrondo

Whole-Person Education for AI Engineers
This autoethnographic study explores the need for interdisciplinary education spanning both technical and philosophical skills - as such, this study leverages whole-person education as a theoretical approach needed in AI engineering education to address the limitations of current paradigms that prioritize technical expertise over ethical and societal considerations. Drawing on a collaborative autoethnography approach of fourteen diverse stakeholders, the study identifies key motivations driving…

The Trust Fabric: Decentralized Interoperability and Economic Coordination for the Agentic Web
Sree Bhargavi Balija, Rekha Singal, Abhishek Singh, Ramesh Raskar, Erfan Darzi, Raghu Bala, Thomas Hardjono, Ken Huang
https://arxiv.org/abs/2507.07901

The Trust Fabric: Decentralized Interoperability and Economic Coordination for the Agentic Web
The fragmentation of AI agent ecosystems has created urgent demands for interoperability, trust, and economic coordination that current protocols -- including MCP (Hou et al., 2025), A2A (Habler et al., 2025), ACP (Liu et al., 2025), and Cisco's AGP (Edwards, 2025) -- cannot address at scale. We present the Nanda Unified Architecture, a decentralized framework built around three core innovations: fast DID-based agent discovery through distributed registries, semantic agent cards with verifiable…

Generative modeling of convergence maps based on predicted one-point statistics
Vilasini Tinnaneri Sreekanth, Jean-Luc Starck, Sandrine Codis
https://arxiv.org/abs/2507.01707

Generative modeling of convergence maps based on predicted one-point statistics
Context: Weak gravitational lensing is a key cosmological probe for current and future large-scale surveys. While power spectra are commonly used for analyses, they fail to capture non-Gaussian information from nonlinear structure formation, necessitating higher-order statistics and methods for efficient map generation. Aims: To develop an emulator that generates accurate convergence maps directly from an input power spectrum and wavelet l1-norm without relying on computationally intensive simu…

Francesca Albanese, UN Special Rapporteur on the Occupied Palestinian Territories: ‘Israel commits crimes like it breathes. It must be stopped’ | #ELPAÍS English

Optical lever for broadband detection of fluid interface fluctuations
Sreelekshmi C. Ajithkumar, Vitor S. Barroso, Patrik \v{S}van\v{c}ara, Anthony J. Kent, Silke Weinfurtner
https://arxiv.org/abs/2506.05275

Optical lever for broadband detection of fluid interface fluctuations
We exploit the optical lever principle to detect minute fluctuations of a liquid-air interface. Waves propagating on the interface deflect a specularly reflected laser beam, inducing angular deviations captured by a dual-element photodiode. We realise this principle in a compact set-up including a temperature-controlled fluid sample. Deflection angle fluctuations span five orders of magnitude in frequency, enabling detection of both low-frequency eigenmodes and high-frequency capillary waves dr…

Artificial Empathy: AI based Mental Health
Aditya Naik, Jovi Thomas, Teja Sree, Himavant Reddy
https://arxiv.org/abs/2506.00081 https://

Artificial Empathy: AI based Mental Health
Many people suffer from mental health problems but not everyone seeks professional help or has access to mental health care. AI chatbots have increasingly become a go-to for individuals who either have mental disorders or simply want someone to talk to. This paper presents a study on participants who have previously used chatbots and a scenario-based testing of large language model (LLM) chatbots. Our findings indicate that AI chatbots were primarily utilized as a "Five minute therapist" or as …

Teleoperating Autonomous Vehicles over Commercial 5G Networks: Are We There Yet?
Rostand A. K. Fezeu, Jason Carpenter, Rushikesh Zende, Sree Ganesh Lalitaditya Divakarla, Nitin Varyani, Faaiq Bilal, Steven Sleder, Nanditha Naik, Duncan Joly, Eman Ramadan, Ajay Kumar Gurumadaiah, Zhi-Li Zhang
https://arxiv.org/abs/2507.20438

Teleoperating Autonomous Vehicles over Commercial 5G Networks: Are We There Yet?
Remote driving, or teleoperating Autonomous Vehicles (AVs), is a key application that emerging 5G networks aim to support. In this paper, we conduct a systematic feasibility study of AV teleoperation over commercial 5G networks from both cross-layer and end-to-end (E2E) perspectives. Given the critical importance of timely delivery of sensor data, such as camera and LiDAR data, for AV teleoperation, we focus in particular on the performance of uplink sensor data delivery. We analyze the impacts…