Tootfinder

The familial nature of enrichment over virtual double categories
Soichiro Fujii, Stephen Lack
https://arxiv.org/abs/2507.05529 https://

The familial nature of enrichment over virtual double categories
Originally enriched categories were defined over a monoidal category, but it was gradually realized that important examples can only be included when one enriches over more general structures such as bicategories and virtual double categories. We show that, as well as allowing more examples, working over virtual double categories also gives better formal properties. We study the 2-functor sending a virtual double category to the 2-category of categories enriched over it. We show that this is a …

wayland is a governance failure https://github.com/flatpak/xdg-desktop-portal/issues/880

Mouse position portal · Issue #880 · flatpak/xdg-desktop-portal
Some apps (a small minority, I will admit) have features that pair with being able to track the mouse. One such app is the Virtual Puppet Project's mouse tracker plugin, which uses the mouse instea...

The Neural Approximated Virtual Element Method for Elasticity Problems
Stefano Berrone, Moreno Pintore, Gioana Teora
https://arxiv.org/abs/2507.05786 https…

The Neural Approximated Virtual Element Method for Elasticity Problems
We present the Neural Approximated Virtual Element Method to numerically solve elasticity problems. This hybrid technique combines classical concepts from the Finite Element Method and the Virtual Element Method with recent advances in deep neural networks. Specifically, it is a polygonal method in which the virtual basis functions are element-wise approximated by a neural network, eliminating the need for stabilization or projection operators typical of the standard virtual element method. We …

Hello all - for anyone who's interested, we'll be having our June monthly #libre | Free and Open Source Software (#FOSS) catchup tomorrow (Tues) evening, at 20:00 NZST. We meet at

Hey,
I just reuploaded my lightning talk at Pass the Salt 2025 about secret deployment in virtual infrastructures using AF_VSOCK. I added subtitles in English and French for those interested.
https://peertube.stream/w/eidYHtjaeE6nZtTbpy722r

Effects of task difficulty and music expertise in virtual reality: Observations of cognitive load and task accuracy in a rhythm exergame
Kyla Ellahiyoun, Emma Jane Pretty, Renan Guarese, Marcel Takac, Haytham Fayek, Fabio Zambetta
https://arxiv.org/abs/2507.06691

Effects of task difficulty and music expertise in virtual reality: Observations of cognitive load and task accuracy in a rhythm exergame
This study explores the relationship between musical training, cognitive load (CL), and task accuracy within the virtual reality (VR) exergame Beat Saber across increasing levels of difficulty. Participants (N=32) completed a series of post-task questionnaires after playing the game under three task difficulty levels while having their physiological data measured by an Emotibit. Using regression analyses, we found that task difficulty and gaming experience significantly predicted subjective CL,…

Teaching Sustainable Creative Technologies
Chelsea Thompto
https://arxiv.org/abs/2507.05320 https://arxiv.org/pdf/2507.05320

Teaching Sustainable Creative Technologies
Artists and especially new media artists contribute to public perceptions and adoption of new technologies through their own use of emerging media technologies such as augmented and virtual reality, generative image systems, and high-resolution displays in the production of their work. In this way, art and media production can be understood as part of the larger issue of unsustainable computational consumption. As such, it is critical for artists to develop, share, and promote new and more sust…

Some months ago I discovered #uv as #python package manager an I totally love it. 🤩 Because it is so fast it really lowers the hurdle to setup a new virtual environment and thus lowers the hurdle to keep things clean.
Since now I have more venvs I recently created an alias to quickly investigate …

Virtual Nylon-String Acoustic Guitar
#VirtualInstrument #MusicianTips
https://s…

Virtual Nylon-String Acoustic Guitar - Orange Tree Samples releases Evolution Honey Nylon powered by Kontakt Player
Orange Tree Samples releases Evolution Honey Nylon powered by Kontakt Player

Coordinated Fast Frequency Regulation in Dynamic Virtual Power Plants via Disturbance Estimation
Saif Ahmad, Seifeddine Ben Elghali, Hafiz Ahmed
https://arxiv.org/abs/2507.06713

Coordinated Fast Frequency Regulation in Dynamic Virtual Power Plants via Disturbance Estimation
In the context of dynamic virtual power plants (DVPPs), the integration of frequency containment reserve (FCR) and fast frequency control (FFC) enabled via local compensation of power imbalance represents a significant advancement in decentralized frequency regulation. However, they still have to cope with the limited power and energy capacities associated with commonly available storage solutions. This work combines a disturbance estimation based decentralized local control with distributed im…

Efficient Memory Tiering in a Virtual Machine
Chandra Prakash, Aravinda Prasad, Sandeep Kumar, Sreenivas Subramoney
https://arxiv.org/abs/2506.06067 https:…

Efficient Memory Tiering in a Virtual Machine
Memory tiering is the norm to effectively tackle the increasing server memory total cost of ownership (TCO) and the growing data demands of modern data center workloads. However, the host-based state-of-the-art memory tiering solutions can be inefficient for a virtualized environment when (i) the frequently accessed data are scattered across the guest physical address space or (ii) the accesses to a huge page inside the guest are skewed due to a small number of subpages being hot. Scattered or …

Flow-induced vibration of twin-pipe model with varying mass and damping: A study using virtual physical framework
Jiawei Shen, Shixiao Fu, Xuepeng Fu, Torgeir Moan, Svein S{\ae}vik
https://arxiv.org/abs/2506.05649

Flow-induced vibration of twin-pipe model with varying mass and damping: A study using virtual physical framework
Flow-induced vibration (FIV) commonly occurs in rigidly coupled twin-pipe structures. However, the limited understanding of their FIV responses and hydrodynamic features presents a major challenge to the development of reliable engineering designs. To bridge this gap, the present study systematically investigates the FIV characteristics of a rigidly coupled twin-pipe model with elastic support using a virtual physical framework (VPF), which enables flexible control of structural parameters duri…

Polarized Element-pair Code Based FFMA over a Gaussian Multiple-access Channel
Zhang-li-han Liu, Qi-yue Yu
https://arxiv.org/abs/2506.06796 https://…

Polarized Element-pair Code Based FFMA over a Gaussian Multiple-access Channel
This paper presents polarized element-pair (EP) codes for polarization-adjusted finite-field multiple-access (PA-FFMA) systems. The core innovation of FFMA systems lies in their unique processing order that exchanges the conventional sequence of channel coding and multiplexing operations, effectively solving the multiuser finite-blocklength (FBL) problem while enhancing error performance. In this architecture, EPs serve as virtual resources for user separation, where different EP codes provide …

A Systematization of Security Vulnerabilities in Computer Use Agents
Daniel Jones, Giorgio Severi, Martin Pouliot, Gary Lopez, Joris de Gruyter, Santiago Zanella-Beguelin, Justin Song, Blake Bullwinkel, Pamela Cortez, Amanda Minnich
https://arxiv.org/abs/2507.05445

A Systematization of Security Vulnerabilities in Computer Use Agents
Computer Use Agents (CUAs), autonomous systems that interact with software interfaces via browsers or virtual machines, are rapidly being deployed in consumer and enterprise environments. These agents introduce novel attack surfaces and trust boundaries that are not captured by traditional threat models. Despite their growing capabilities, the security boundaries of CUAs remain poorly understood. In this paper, we conduct a systematic threat analysis and testing of real-world CUAs under adversa…

Probing QCD Confinement with Spin Entanglement
The STAR Collaboration
https://arxiv.org/abs/2506.05499 https://arxiv.org/pdf/2506.054…

Probing QCD Confinement with Spin Entanglement
Once regarded as mere emptiness, the vacuum is now understood to possess a rich and complex structure, characterized by fluctuating energy fields and a condensate of virtual quark-antiquark pairs. These pairs cause spontaneous chiral symmetry breaking, a fundamental phenomenon that is believed to generate over 99% of the mass in the visible universe. However, the precise mechanism linking the chiral symmetry breaking to the mass generation associated with quark confinement remains one of the mo…

Performance Impact of Containerized METADOCK 2 on Heterogeneous Platforms
Antonio Jes\'us Banegas-Luna, Baldomero Imbern\'on Tudela, Carlos Mart\'inez-Cort\'es, Jos\'e Mar\'ia Cecilia, Horacio P\'erez-S\'anchez
https://arxiv.org/abs/2506.06450

Performance Impact of Containerized METADOCK 2 on Heterogeneous Platforms
Virtual screening (VS) is a computationally intensive process crucial for drug discovery, often requiring significant resources to analyze large chemical libraries and predict ligand-protein interactions. This study evaluates the performance impact of containerization on METADOCK 2, a high-throughput docking software when deployed on heterogeneous high-performance computing (HPC) platforms. By testing three containerization technologies - Docker, Singularity, and Apptainer - across varying CPU …

Ich habe gerade gehört, #Meta hätte eine neue VR-Brille namens #Tiramisu herausgebracht. Aktuell noch ein #Prototyp.
Ich finde es toll, dass endlich das visuelle Erlebnis mit olfaktorischen und gu…

Replaced article(s) found for cs.SD. https://arxiv.org/list/cs.SD/new
[1/1]:
- A Voice-based Triage for Type 2 Diabetes using a Conversational Virtual Assistant in the Home Env...
Kelvin Summoogum, Debayan Das, Sathish Kumaran

Japan Review Early Access articles
https://ift.tt/sbcfL5Y
H-Diplo Article Review 1197: Emery on Cummins, "American Cold War Strategy and the Absence of 'Swift…
via Input 4 RELCFP ht…

AI-powered Contextual 3D Environment Generation: A Systematic Review
Miguel Silva, Alexandre Valle de Carvalho
https://arxiv.org/abs/2506.05449 https://

AI-powered Contextual 3D Environment Generation: A Systematic Review
The generation of high-quality 3D environments is crucial for industries such as gaming, virtual reality, and cinema, yet remains resource-intensive due to the reliance on manual processes. This study performs a systematic review of existing generative AI techniques for 3D scene generation, analyzing their characteristics, strengths, limitations, and potential for improvement. By examining state-of-the-art approaches, it presents key challenges such as scene authenticity and the influence of te…

Virtual Laboratories: Domain-agnostic workflows for research
Carlos Sevilla-Salcedo, Armi Tiihonen, Mahsa Asadi, Kevin Sebastian Luck, Aras Umut Erarslan, Arto Klami, Samuel Kaski
https://arxiv.org/abs/2507.06271

Virtual Laboratories: Domain-agnostic workflows for research
Many scientific disciplines have traditionally advanced by iterating over hypotheses using labor-intensive trial-and-error, which is a slow and expensive process. Recent advances in computing, digitalization, and machine learning have introduced tools that promise to make scientific research faster by assisting in this iterative process. However, these advances are scattered across disciplines and only loosely connected, with specific computational methods being primarily developed for narrow d…

Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation
Miryeong Kwon, Donghyun Gouk, Eunjee Na, Jiseon Kim, Junhee Kim, Hyein Woo, Eojin Ryu, Hyunkyu Choi, Jinwoo Baek, Hanyeoreum Bae, Mahmut Kandemir, Myoungsoo Jung
https://arxiv.org/abs/2506.06769

Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation
ISP minimizes data transfer for analytics but faces challenges in adaptation and disaggregation. We propose DockerSSD, an ISP model leveraging OS-level virtualization and lightweight firmware to enable containerized data processing directly on SSDs. Key features include Ethernet over NVMe for network-based ISP management and Virtual Firmware for secure, efficient container execution. DockerSSD supports disaggregated storage pools, reducing host overhead and enhancing large-scale services like L…

Virtual chronic care company Omada Health closed up 21% in its Nasdaq debut after raising about $150M in its IPO, valuing the company at just over $1B (Ashley Capoot/CNBC)
https://www.cnbc.com/2025/06/06/omada-shares-open-at-23-in-na…

Omada shares pop 42% in Nasdaq debut after health tech company's IPO
Omada Health became the latest tech company to hit the Nasdaq on Friday, as the IPO market picks up steam.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation
Yucheng Wang, Dan Xu
https://arxiv.org/abs/2507.05092

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation
Audio-driven talking head generation is critical for applications such as virtual assistants, video games, and films, where natural lip movements are essential. Despite progress in this field, challenges remain in producing both consistent and realistic facial animations. Existing methods, often based on GANs or UNet-based diffusion models, face three major limitations: (i) temporal jittering caused by weak temporal constraints, resulting in frame inconsistencies; (ii) identity drift due to ins…

from my link log —
Wasm SpecTec has been adopted.
https://webassembly.org/news/2025-03-27-spectec/
saved 2025-03-28 https://

SpecTec has been adopted - WebAssembly
WebAssembly (abbreviated Wasm) is a binary instruction format for a stack-based virtual machine. Wasm is designed as a portable compilation target for programming languages, enabling deployment on the web for client and server applications.

SVD: Spatial Video Dataset
M. H. Izadimehr, Milad Ghanbari, Guodong Chen, Wei Zhou, Xiaoshuai Hao, Mallesham Dasari, Christian Timmerer, Hadi Amirpour
https://arxiv.org/abs/2506.06037

SVD: Spatial Video Dataset
Stereoscopic video has long been the subject of research due to its capacity to deliver immersive three-dimensional content across a wide range of applications, from virtual and augmented reality to advanced human-computer interaction. The dual-view format inherently provides binocular disparity cues that enhance depth perception and realism, making it indispensable for fields such as telepresence, 3D mapping, and robotic vision. Until recently, however, end-to-end pipelines for capturing, enco…

Testing, Evaluation, Verification and Validation (TEVV) of Digital Twins: A Comprehensive Framework
Gabriella Waters
https://arxiv.org/abs/2507.04555 https…

Testing, Evaluation, Verification and Validation (TEVV) of Digital Twins: A Comprehensive Framework
Digital twins have emerged as a powerful technology for modeling and simulating complex systems across various domains (Fuller et al., 2020; Tao et al., 2019). As virtual representations of physical assets, processes, or systems, digital twins enable real-time monitoring, predictive analysis, and optimization. However, as digital twins become more sophisticated and integral to decision-making processes, ensuring their accuracy, reliability, and ethical implementation is essential. This paper pr…

One Million Rising:
Strategic Non-Cooperation to Fight Authoritarianism
· Hosted by No Kings
Wednesdays
8 – 9pm EDT
Virtual event
Join from anywhere
https://www.mobilize.us/indivisible/event/803953/

One Million Rising: Strategic Non-Cooperation to Fight Authoritarianism · Indivisible
Across the country, authoritarian forces are getting bolder and more dangerous. Trump and his allies are not hiding their agenda: mass deportations, rollbacks of civil rights, weaponized courts, and full-scale attacks on our democracy. We don’t have to wait until it’s too late. We can stop this. But it’ll take all of us—not just on single days of mass action, but through sustained organizing in our communities. That’s why this summer, we’re launching One Million Rising—a national…

Equivalence between Gromov-Witten invariants: Domain dependent perturbation and Kuranishi structure approaches
Yuguo Qin
https://arxiv.org/abs/2507.04798 h…

Equivalence between Gromov-Witten invariants: Domain dependent perturbation and Kuranishi structure approaches
We prove that the homology class induced by the rational pseudocycle constructed via domain-dependent perturbations by Cieliebak and Mohnke coincides with the homology class induced by the virtual fundamental class defined through Kuranishi structures by Fukaya, Oh, Ohta, and Ono.

Virtual power plants offer a way forward for reliable and cost-effective power by combining rooftop solar and batteries. #climatechange #climatesolutions #climate

As rooftop solar gets hammered, virtual power plants offer a way forward
VPPs built out of home solar and battery systems could bolster the overtaxed power grid, lower energy costs for consumers, and help invigorate a…

Tomorrow (8 July) at 20:00 NZST, we'll be running our monthly #libre / #FOSS virtual gather at https://meeting.iridescent.nz

The Virtual CEO
Great Australian Pods Podcast Directory: #GreatAusPods

A posteriori error estimates for a $C^1$ virtual element method applied to the thin plate vibration problem
Franco Dassi, Andres E. Rubiano, Iv\'an Vel\'asquez
https://arxiv.org/abs/2507.06846

A posteriori error estimates for a $C^1$ virtual element method applied to the thin plate vibration problem
We propose and analyse residual-based a posteriori error estimates for the virtual element discretisation applied to the thin plate vibration problem in both two and three dimensions. Our approach involves a conforming $C^1$ discrete formulation suitable for meshes composed of polygons and polyhedra. The reliability and efficiency of the error estimator are established through a dimension-independent proof. Finally, several numerical experiments are reported to demonstrate the optimal performan…

Data-driven nonlinear output regulation via data-enforced incremental passivity
Yixuan Liu, Meichen Guo
https://arxiv.org/abs/2506.06079 https://

Data-driven nonlinear output regulation via data-enforced incremental passivity
This work proposes a data-driven regulator design that drives the output of a nonlinear system asymptotically to a time-varying reference and rejects time-varying disturbances. The key idea is to design a data-driven feedback controller such that the closed-loop system is incrementally passive with respect to the regulation error and a virtual input. By carefully designing the virtual input, we solve the data-driven nonlinear output regulation problem where the reference and disturbances are ge…

Periodic robust robotic rock chop via virtual model control
Yi Zhang, Fumiya Iida, Fulvio Forni
https://arxiv.org/abs/2508.02604 https://arxiv.org/pdf/2508…

Periodic robust robotic rock chop via virtual model control
Robotic cutting is a challenging contact-rich manipulation task where the robot must simultaneously negotiate unknown object mechanics, large contact forces, and precise motion requirements. We introduce a new virtual-model control scheme that enables knife rocking motion for robot manipulators, without pre-planned trajectories or precise information of the environment. Motion is generated through interconnection with virtual mechanisms, given by virtual springs, dampers, and masses arranged in…

Neue VR-Spiele im Juni 2025: "Zombie Army VR"
Im Juni bringt Rebellion mit "Zombie Army VR" eine altbekannte Reihe in die Virtual Reality. Zusätzlich erscheinen "Cave Crave" und "Maestro".

AI is making it easier to create VTubers and faceless voiceover channels, fueling a flood of virtual creators on YouTube and TikTok amid concerns over AI slop (Zach Vallese/CNBC)
https://www.cnbc.com/2025/07/02/ai-virtual-perso…

AI virtual personality YouTubers, or 'VTubers,' are earning millions

Replaced article(s) found for physics.app-ph. https://arxiv.org/list/physics.app-ph/new
[1/1]:
- Linking diffusive fields to virtual waves as their propagative duals
Peter Burgholzer, Lukas Gahleitner, Guenther Mayr

NRXR-ID: Two-Factor Authentication (2FA) in VR Using Near-Range Extended Reality and Smartphones
Aiur Nanzatov, Lourdes Pe\~na-Castillo, Oscar Meruvia-Pastor
https://arxiv.org/abs/2507.05447

NRXR-ID: Two-Factor Authentication (2FA) in VR Using Near-Range Extended Reality and Smartphones
Two-factor authentication (2FA) has become widely adopted as an efficient and secure way to validate someone's identity online. Two-factor authentication is difficult in virtual reality (VR) because users are usually wearing a head-mounted display (HMD) which does not allow them to see their real-world surroundings. We present NRXR-ID, a technique to implement two-factor authentication while using extended reality systems and smartphones. The proposed method allows users to complete an authenti…

A LLM-Driven Multi-Agent Systems for Professional Development of Mathematics Teachers
Kaiqi Yang, Hang Li, Yucheng Chu, Ahreum Han, Yasemin Copur-Gencturk, Jiliang Tang, Hui Liu
https://arxiv.org/abs/2507.05292

A LLM-Driven Multi-Agent Systems for Professional Development of Mathematics Teachers
Professional development (PD) serves as the cornerstone for teacher tutors to grasp content knowledge. However, providing equitable and timely PD opportunities for teachers poses significant challenges. To address this issue, we introduce I-VIP (Intelligent Virtual Interactive Program), an intelligent tutoring platform for teacher professional development, driven by large language models (LLMs) and supported by multi-agent frameworks. This platform offers a user-friendly conversational interfac…

Cross-Domain Image Synthesis: Generating H&E from Multiplex Biomarker Imaging
Jillur Rahman Saurav, Mohammad Sadegh Nasr, Jacob M. Luber
https://arxiv.org/abs/2508.04734 htt…

Cross-Domain Image Synthesis: Generating H&E from Multiplex Biomarker Imaging
While multiplex immunofluorescence (mIF) imaging provides deep, spatially-resolved molecular data, integrating this information with the morphological standard of Hematoxylin & Eosin (H&E) can be very important for obtaining complementary information about the underlying tissue. Generating a virtual H&E stain from mIF data offers a powerful solution, providing immediate morphological context. Crucially, this approach enables the application of the vast ecosystem of H&E-based computer-aided diag…

What do kids want these days?
https://www.freerangekids.com/want-kids-to-spend-less-time-in-the-virtual-world-give-them-back-the-real-one/

Want Kids to Spend Less Time in the Virtual World? Give Them Back the Real One! - Free-Range Kids
Are kids on their phones all the time because that’s what they love the most? An explosive new Harris Poll finds that actually, what kids 8-12 REALLY want to do is hang out together in real life – with no adults hovering, and no screens. They go online because that’s the only place they can

Local news matters more than ever.
🔍 Join us Thu, July 17 @ 7 PM ET for “Good Local News Panel: 4 outlets blooming in a hostile environment.”
Virtual FREE.
Secure your seat: #Press #Journalism
1/2

Physical: No shoes, No service
Virtual: No SIM, No service
#travel #technology #comparison

This https://arxiv.org/abs/2505.14613 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Virtual Cells: Predict, Explain, Discover
Drug discovery is fundamentally a process of inferring the effects of treatments on patients, and would therefore benefit immensely from computational models that can reliably simulate patient responses, enabling researchers to generate and test large numbers of therapeutic hypotheses safely and economically before initiating costly clinical trials. Even a more specific model that predicts the functional response of cells to a wide range of perturbations would be tremendously valuable for disco…

Google launches its asynchronous coding agent Jules out of beta, with a free plan capped at 15 daily tasks and higher limits for Google AI Pro and Ultra users (Jagmeet Singh/TechCrunch)
https://techcrunch.com/2025/08/06/googles-ai-coding-agent-jules-is-now…

Google's AI coding agent Jules is now out of beta | TechCrunch
Powered by Gemini 2.5 Pro, Jules is an asynchronous, agent-based coding tool that integrates with GitHub, clones codebases into Google Cloud virtual machines, and uses AI to fix or update code while developers focus on other tasks.

On representations of the multi-virtual braid group $M_kVB_n$ and the multi-welded braid group $M_kWB_n$
Vaibhav Keshari, Mohamad N. Nasser, Madeti Prabhakar
https://arxiv.org/abs/2508.04168

On representations of the multi-virtual braid group $M_kVB_n$ and the multi-welded braid group $M_kWB_n$
This paper classifies complex homogeneous $2$-local representations of the multiple virtual braid group $M_kVB_n$ into $\mathrm{GL}_n(\mathbb{C})$ for $n\geq3$ and $k >1$, showing that such representations fall into exactly $2^{k+1}+1$ distinct types, out of which except three all are unfaithful. In addition, this paper investigates complex homogeneous $2$-local representations of the multiple welded braid group $M_kWB_n$ into $\mathrm{GL}_n(\mathbb{C})$ for $n\geq3$ and $k >1$, identifying $3 …

Delay-constrained re-entry governs large-scale brain seizures and other network pathologies
Paul Triebkorn, Huifang E. Wang, Marmaduke Woodman, Maxime Guye, Fabrice Bartolomei, Viktor Jirsa
https://arxiv.org/abs/2508.04824

Delay-constrained re-entry governs large-scale brain seizures and other network pathologies
Re-entry of travelling excitation loops is a long-suspected driver of human seizures, yet how such loops arise in patient brain networks -- and how susceptible they are to targeted disruption -- remains unclear. We reconstruct a millimetre-scale virtual brain from diffusion MRI of a drug-resistant epilepsy patient, embed excitable Epileptor neural fields, and show that realistic cortico-cortical delays are sufficient to generate self-sustaining re-entry. Systematic parameter sweeps reveal a nar…

Computing dielectric spectra in molecular dynamics simulations: using a cavity to disentangle self and cross correlations
Marceau H\'enot
https://arxiv.org/abs/2507.04908

Computing dielectric spectra in molecular dynamics simulations: using a cavity to disentangle self and cross correlations
Dielectric spectra are typically obtained in molecular dynamics (MD) simulations by analyzing the fluctuations, in the absence of an applied electric field, of the total dipole moment of the simulation box. We compare this standard method with a protocol that focuses on a virtual cavity whose size is chosen to include short-range dipolar cross-correlations, while excluding long-range correlations that are affected by the choice of electrostatic boundary conditions. We tested this protocol on th…

Voost: A Unified and Scalable Diffusion Transformer for Bidirectional Virtual Try-On and Try-Off
Seungyong Lee, Jeong-gi Kwak
https://arxiv.org/abs/2508.04825 https://

Voost: A Unified and Scalable Diffusion Transformer for Bidirectional Virtual Try-On and Try-Off
Virtual try-on aims to synthesize a realistic image of a person wearing a target garment, but accurately modeling garment-body correspondence remains a persistent challenge, especially under pose and appearance variation. In this paper, we propose Voost - a unified and scalable framework that jointly learns virtual try-on and try-off with a single diffusion transformer. By modeling both tasks jointly, Voost enables each garment-person pair to supervise both directions and supports flexible cond…

TSA Working on Haptic Tech To 'Feel' Your Body in Virtual Reality https://www.404media.co/tsa-working-on-haptic-tech-to-feel-your-body-in-virtual-reality/

On the Generalization of Data-Assisted Control in port-Hamiltonian Systems (DAC-pH)
Mostafa Eslami, Maryam Babazadeh
https://arxiv.org/abs/2506.07079 https…

On the Generalization of Data-Assisted Control in port-Hamiltonian Systems (DAC-pH)
This paper introduces a hypothetical hybrid control framework for port-Hamiltonian (p$\mathcal{H}$) systems, employing a dynamic decomposition based on Data-Assisted Control (DAC). The system's evolution is split into two parts with fixed topology: Right-Hand Side (RHS)- an intrinsic Hamiltonian flow handling worst-case parametric uncertainties, and Left-Hand Side (LHS)- a dissipative/input flow addressing both structural and parametric uncertainties. A virtual port variable $Π$ serves as the …

This https://arxiv.org/abs/2505.20011 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

The Many Challenges of Human-Like Agents in Virtual Game Environments
Human-like agents are an increasingly important topic in games and beyond. Believable non-player characters enhance the gaming experience by improving immersion and providing entertainment. They also offer players the opportunity to engage with AI entities that can function as opponents, teachers, or cooperating partners. Additionally, in games where bots are prohibited -- and even more so in non-game environments -- there is a need for methods capable of identifying whether digital interaction…

A learning model predictive control for virtual coupling in railroads
Miguel A. Vaquero-Serrano, Francesco Borrelli, Jesus Felez
https://arxiv.org/abs/2507.02383

A learning model predictive control for virtual coupling in railroads
The objective of this paper is to present a novel intelligent train control system for virtual coupling in railroads based on a Learning Model Predictive Control (LMPC). Virtual coupling is an emerging railroad technology that reduces the distance between trains to increase the capacity of the line, whereas LMPC is an optimization-based controller that incorporates artificial intelligence methods to improve its control policies. By incorporating data from past experiences into the optimization …

Static Analysis for Detecting Transaction Conflicts in Ethereum Smart Contracts
Zareh Chahoki Atefeh, Roveri Marco
https://arxiv.org/abs/2507.04357 https:/…

Static Analysis for Detecting Transaction Conflicts in Ethereum Smart Contracts
Ethereum smart contracts operate in a concurrent environment where multiple transactions can be submitted simultaneously. However, the Ethereum Virtual Machine (EVM) enforces sequential execution of transactions within each block to prevent conflicts arising from concurrent access to the same state variables. Although this approach guarantees correct behavior, it limits the ability of validators to leverage multi-core architectures for faster transaction processing, thus restricting throughput.…

The new interstellar object #A11pl3Z online observation - 3 July 2025 - The Virtual Telescope Project 2.0
https://www.virtualtelescope.eu/2025/07/02/the-new-interstellar-object-a11pl3z-online-observation-3-july-2025/

From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC
Jingsong Liu, Xiaofeng Deng, Han Li, Azar Kazemi, Christian Grashei, Gesa Wilkens, Xin You, Tanja Groll, Nassir Navab, Carolin Mogler, Peter J. Sch\"uffler
https://arxiv.org/abs/2508.02528

From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC
Hematoxylin and eosin (H&E) staining is the clinical standard for assessing tissue morphology, but it lacks molecular-level diagnostic information. In contrast, immunohistochemistry (IHC) provides crucial insights into biomarker expression, such as HER2 status for breast cancer grading, but remains costly and time-consuming, limiting its use in time-sensitive clinical workflows. To address this gap, virtual staining from H&E to IHC has emerged as a promising alternative, yet faces two core chal…

Bridging Simulation and Experiment: A Self-Supervised Domain Adaptation Framework for Concrete Damage Classification
Chen Xu, Giao Vu, Ba Trung Cao, Zhen Liu, Fabian Diewald, Yong Yuan, G\"unther Meschke
https://arxiv.org/abs/2508.04538

Bridging Simulation and Experiment: A Self-Supervised Domain Adaptation Framework for Concrete Damage Classification
Reliable assessment of concrete degradation is critical for ensuring structural safety and longevity of engineering structures. This study proposes a self-supervised domain adaptation framework for robust concrete damage classification using coda wave signals. To support this framework, an advanced virtual testing platform is developed, combining multiscale modeling of concrete degradation with ultrasonic wave propagation simulations. This setup enables the generation of large-scale labeled syn…

MalVol-25: A Diverse, Labelled and Detailed Volatile Memory Dataset for Malware Detection and Response Testing and Validation
Dipo Dunsin, Mohamed Chahine Ghanem, Eduardo Almeida Palmieri
https://arxiv.org/abs/2507.03993

MalVol-25: A Diverse, Labelled and Detailed Volatile Memory Dataset for Malware Detection and Response Testing and Validation
This paper addresses the critical need for high-quality malware datasets that support advanced analysis techniques, particularly machine learning and agentic AI frameworks. Existing datasets often lack diversity, comprehensive labelling, and the complexity necessary for effective machine learning and agent-based AI training. To fill this gap, we developed a systematic approach for generating a dataset that combines automated malware execution in controlled virtual environments with dynamic moni…

💾 Bedrock: A tiny, portable 8-bit virtual computer (uxn fork)
#computers

No chain, no problem: NFL debuts new virtual measurement system during Hall of Fame Game

https://www.cbssports.com/nfl/news/no-chain-no-problem…

This https://arxiv.org/abs/2205.12953 has been replaced.
link: https://scholar.google.com/scholar?q=a

The Blowup Formula for the Instanton Part of Vafa-Witten Invariants on Projective Surfaces
We prove a blow-up formula for the generating series of virtual $χ_y$-genera for moduli spaces of sheaves on projective surfaces, which is related to a conjectured formula for topological $χ_y$-genera of Göttsche. Our formula is a refinement of one by Vafa-Witten relating to S-duality. We prove the formula simultaneously in the setting of Gieseker stable sheaves on polarised surfaces and also in the setting of framed sheaves on $\mathbb{P}^2$. The proof is based on the blow-up algorithm of N…

EgoPrompt: Prompt Pool Learning for Egocentric Action Recognition
Huaihai Lyu, Chaofan Chen, Yuheng Ji, Changsheng Xu
https://arxiv.org/abs/2508.03266 https://

EgoPrompt: Prompt Pool Learning for Egocentric Action Recognition
Driven by the increasing demand for applications in augmented and virtual reality, egocentric action recognition has emerged as a prominent research area. It is typically divided into two subtasks: recognizing the performed behavior (i.e., verb component) and identifying the objects being acted upon (i.e., noun component) from the first-person perspective. However, most existing approaches treat these two components as independent classification tasks, focusing on extracting component-specific …

Linking diffusive fields to virtual waves as their propagative duals
Peter Burgholzer, Lukas Gahleitner, Guenther Mayr
https://arxiv.org/abs/2507.04542 htt…

Linking diffusive fields to virtual waves as their propagative duals
We have used the locally computed virtual waves from the measured diffusive surface signals for image reconstruc-tion using established time-of-flight methods from ultrasound or RADAR imaging. This improves the spatial resolution in thermography and compensates for the dispersion of quantum wave packets in atom probe tomography.

AI is making it easier to create VTubers and faceless voiceover channels, fueling a flood of virtual creators on YouTube and TikTok amid concerns over AI slop (Zach Vallese/CNBC)
https://www.cnbc.com/2025/07/02/ai-virtual-perso…

AI virtual personality YouTubers, or 'VTubers,' are earning millions

Root Cause Analysis Training for Healthcare Professionals With AI-Powered Virtual Simulation: A Proof-of-Concept
Yuqi Hu, Qiwen Xiong, Zhenzhen Qin, Brandon Watanabe, Yujing Wang, Mirjana Prpa, Ilmi Yoon
https://arxiv.org/abs/2508.04904

Root Cause Analysis Training for Healthcare Professionals With AI-Powered Virtual Simulation: A Proof-of-Concept
Root Cause Analysis (RCA) is a critical tool for investigating adverse events in healthcare and improving patient safety. However, existing RCA training programs are often limited by high resource demands, leading to insufficient training and inconsistent implementation. To address this challenge, we present an AI-powered 3D simulation game that helps healthcare professionals develop RCA skills through interactive, immersive simulations. This approach offers a cost-effective, scalable, and acce…

Der Stealth-Klassiker "Thief" kehrt zurück – als VR-Spiel
Nach mehr als zehn Jahren Abwesenheit kehrt die genreprägende "Thief"-Reihe zurück und erlebt in der Virtual Reality ein Comeback.

Passive nonlinear FIR filters for data-driven control
Zixing Wang, Fulvio Forni
https://arxiv.org/abs/2508.05279 https://arxiv.org/pdf/2508.05279

Passive nonlinear FIR filters for data-driven control
We propose a new class of passive nonlinear finite impulse response operators. This class is constructed by the action of finite impulse response filters in a lifted space. This allows for efficient control synthesis through constrained optimization. Closed-loop performance is taken into account through least-squares fitting, based on the theory of virtual reference feedback tuning. Passivity is established through efficient linear constraints, based on sampling in the frequency domain. Because…

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LANTERN: A Machine Learning Framework for Lipid Nanoparticle Transfection Efficiency Prediction
Asal Mehradfar, Mohammad Shahab Sepehri, Jose Miguel Hernandez-Lobato, Glen S. Kwon, Mahdi Soltanolkotabi, Salman Avestimehr, Morteza Rasoulianboroujeni
https://arxiv.org/abs/2507.03209

LANTERN: A Machine Learning Framework for Lipid Nanoparticle Transfection Efficiency Prediction
The discovery of new ionizable lipids for efficient lipid nanoparticle (LNP)-mediated RNA delivery remains a critical bottleneck for RNA-based therapeutics development. Recent advances have highlighted the potential of machine learning (ML) to predict transfection efficiency from molecular structure, enabling high-throughput virtual screening and accelerating lead identification. However, existing approaches are hindered by inadequate data quality, ineffective feature representations, low predi…

National Press Photographers Association says it's laying off three staff members due to concerns about not having enough funds to cover the next payroll cycle (NPPA)
https://nppa.org/news/797

An update from the NPPA Board of Directors, and emergency meeting planned for July 9.
All members are invited to attend the virtual meeting.

ESDD 2026: Environmental Sound Deepfake Detection Challenge Evaluation Plan
Han Yin, Yang Xiao, Rohan Kumar Das, Jisheng Bai, Ting Dang
https://arxiv.org/abs/2508.04529 https://…

ESDD 2026: Environmental Sound Deepfake Detection Challenge Evaluation Plan
Recent advances in audio generation systems have enabled the creation of highly realistic and immersive soundscapes, which are increasingly used in film and virtual reality. However, these audio generators also raise concerns about potential misuse, such as generating deceptive audio content for fake videos and spreading misleading information. Existing datasets for environmental sound deepfake detection (ESDD) are limited in scale and audio types. To address this gap, we have proposed EnvSDD, …

A3FR: Agile 3D Gaussian Splatting with Incremental Gaze Tracked Foveated Rendering in Virtual Reality
Shuo Xin, Haiyu Wang, Sai Qian Zhang
https://arxiv.org/abs/2507.04147

A3FR: Agile 3D Gaussian Splatting with Incremental Gaze Tracked Foveated Rendering in Virtual Reality
Virtual reality (VR) significantly transforms immersive digital interfaces, greatly enhancing education, professional practices, and entertainment by increasing user engagement and opening up new possibilities in various industries. Among its numerous applications, image rendering is crucial. Nevertheless, rendering methodologies like 3D Gaussian Splatting impose high computational demands, driven predominantly by user expectations for superior visual quality. This results in notable processing…

Extending conceptual completeness via virtual ultracategories
Gabriel Saadia
https://arxiv.org/abs/2506.23935 https://arxiv.org/pdf/2…

Extending conceptual completeness via virtual ultracategories
We introduce the notion of virtual ultracategory. From a topological point of view, this notion can be seen as a categorification of relational $β$-algebras. From a categorical point of view, virtual ultracategories generalize ultracategories in the same way that multicategories generalize monoidal categories. From a logical point of view, whereas the points of a coherent topos form an ultracategory, the points of an arbitrary topos form a virtual ultracategory. We then extend Makkai--Lurie's …

High-Order Deep Meta-Learning with Category-Theoretic Interpretation
David H. Mguni
https://arxiv.org/abs/2507.02634 https://arxiv.or…

High-Order Deep Meta-Learning with Category-Theoretic Interpretation
We introduce a new hierarchical deep learning framework for recursive higher-order meta-learning that enables neural networks (NNs) to construct, solve, and generalise across hierarchies of tasks. Central to this approach is a generative mechanism that creates \emph{virtual tasks} -- synthetic problem instances designed to enable the meta-learner to learn \emph{soft constraints} and unknown generalisable rules across related tasks. Crucially, this enables the framework to generate its own infor…

This https://arxiv.org/abs/2412.18776 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csOH_…

Tunable Virtual IMU Frame by Weighted Averaging of Multiple Non-Collocated IMUs
Yizhou Gao, Tim Barfoot
https://arxiv.org/abs/2506.00371 https://

Tunable Virtual IMU Frame by Weighted Averaging of Multiple Non-Collocated IMUs
We present a new method to combine several rigidly connected but physically separated IMUs through a weighted average into a single virtual IMU (VIMU). This has the benefits of (i) reducing process noise through averaging, and (ii) allowing for tuning the location of the VIMU. The VIMU can be placed to be coincident with, for example, a camera frame or GNSS frame, thereby offering a quality-of-life improvement for users. Specifically, our VIMU removes the need to consider any lever-arm terms in…

Matrix representations of the twisted virtual braid group and its extensions
Mohamad N. Nasser, Vaibhav Keshari, Madeti Prabhakar
https://arxiv.org/abs/2506.03806

Matrix representations of the twisted virtual braid group and its extensions
This paper classifies complex local representations of the twisted virtual braid group, $\mathrm{TVB}_2$, into $\mathrm{GL}_3(\mathbb{C})$. It shows that such representations fall into eight types, all of which are unfaithful and reducible to degree $2 \times 2$. Further reducibility to degree 1 is analyzed for specific types. The paper also examines complex homogeneous local representations of $\mathrm{TVB}_n$ into $\mathrm{GL}_{n+1}(\mathbb{C})$ for $n \geq 3$, identifying seven unfaithful ty…

On the Utility of Virtual Staining for Downstream Applications as it relates to Task Network Capacity
Sourya Sengupta, Jianquan Xu, Phuong Nguyen, Frank J. Brooks, Yang Liu, Mark A. Anastasio
https://arxiv.org/abs/2508.00164

On the Utility of Virtual Staining for Downstream Applications as it relates to Task Network Capacity
Virtual staining, or in-silico-labeling, has been proposed to computationally generate synthetic fluorescence images from label-free images by use of deep learning-based image-to-image translation networks. In most reported studies, virtually stained images have been assessed only using traditional image quality measures such as structural similarity or signal-to-noise ratio. However, in biomedical imaging, images are typically acquired to facilitate an image-based inference, which we refer to …

Neuralocks: Real-Time Dynamic Neural Hair Simulation
Gene Wei-Chin Lin, Egor Larionov, Hsiao-yu Chen, Doug Roble, Tuur Stuyck
https://arxiv.org/abs/2507.05191

Neuralocks: Real-Time Dynamic Neural Hair Simulation
Real-time hair simulation is a vital component in creating believable virtual avatars, as it provides a sense of immersion and authenticity. The dynamic behavior of hair, such as bouncing or swaying in response to character movements like jumping or walking, plays a significant role in enhancing the overall realism and engagement of virtual experiences. Current methods for simulating hair have been constrained by two primary approaches: highly optimized physics-based systems and neural methods.…

Exploring a Gamified Personality Assessment Method through Interaction with Multi-Personality LLM Agents
Baiqiao Zhang, Xiangxian Li, Chao Zhou, Xinyu Gai, Zhifeng Liao, Juan Liu, Xue Yang, Niqi Liu, Xiaojuan Ma, Yong-jin Liu, Yulong Bian
https://arxiv.org/abs/2507.04005

Exploring a Gamified Personality Assessment Method through Interaction with Multi-Personality LLM Agents
The execution of effective and imperceptible personality assessments is receiving increasing attention in psychology and human-computer interaction fields. This study explores an interactive approach for personality assessment, focusing on the multiplicity of personality representation. We propose a framework of gamified personality assessment through multi-personality representations (Multi-PR GPA). The framework leverages Large Language Models to empower virtual agents with diverse personalit…

This https://arxiv.org/abs/2412.09840 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDC_…

LAVA: Lifetime-Aware VM Allocation with Learned Distributions and Adaptation to Mispredictions
Scheduling virtual machines (VMs) on hosts in cloud data centers dictates efficiency and is an NP-hard problem with incomplete information. Prior work improved VM scheduling with predicted VM lifetimes. Our work further improves lifetime-aware scheduling using repredictions with lifetime distributions versus one-shot prediction. Our approach repredicts and adjusts VM and host lifetimes when incorrect predictions emerge. We also present novel approaches for defragmentation and regular system mai…

A virtual sensor fusion approach for state of charge estimation of lithium-ion cells
Davide Previtali, Daniele Masti, Mirko Mazzoleni, Fabio Previdi
https://arxiv.org/abs/2508.04268

A virtual sensor fusion approach for state of charge estimation of lithium-ion cells
This paper addresses the estimation of the State Of Charge (SOC) of lithium-ion cells via the combination of two widely used paradigms: Kalman Filters (KFs) equipped with Equivalent Circuit Models (ECMs) and machine-learning approaches. In particular, a recent Virtual Sensor (VS) synthesis technique is considered, which operates as follows: (i) learn an Affine Parameter-Varying (APV) model of the cell directly from data, (ii) derive a bank of linear observers from the APV model, (iii) train a m…

This https://arxiv.org/abs/2407.15625 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

Dressed to Gamble: How Poker Drives the Dynamics of Wearables and Visits on Decentraland's Social Virtual World
Decentraland is a blockchain-based social virtual world where users can publish and sell wearables to customize avatars. In it, the third-party Decentral Games (DG) allows players of its flagship game ICE Poker to earn cryptocurrency only if they possess certain wearables. Herein, we present a comprehensive study on how DG and its game influence the dynamics of wearables and in-world visits in Decentraland. To this end, we analyzed 5.9 million wearable transfers made on the Polygon blockchain (…

This https://arxiv.org/abs/2409.18745 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

A study on the effects of mixed explicit and implicit communications in human-virtual-agent interactions
Communication between humans and robots (or virtual agents) is essential for interaction and often inspired by human communication, which uses gestures, facial expressions, gaze direction, and other explicit and implicit means. This work presents an interaction experiment where humans and virtual agents interact through explicit (gestures, manual entries using mouse and keyboard, voice, sound, and information on screen) and implicit (gaze direction, location, facial expressions, and raise of ey…

Analysis and virtual element discretisation of a Stokes/Biot--Kirchhoff bulk--surface model
Franco Dassi, Rekha Khot, Andres E. Rubiano, Ricardo Ruiz-Baier
https://arxiv.org/abs/2508.02450

Analysis and virtual element discretisation of a Stokes/Biot--Kirchhoff bulk--surface model
We analyse a coupled 3D-2D model with a free fluid governed by Stokes flow in the bulk and a poroelastic plate described by the Biot-Kirchhoff equations on the surface. Assuming the form of a double perturbed saddle-point problem, the unique solvability of the continuous formulation is proved using Fredholm's theory for compact operators and the Babuska--Brezzi approach for saddle-point problems with penalty. We propose a stable virtual element method, establishing a discrete inf-sup condition …

Sources: Meta has talked with Disney, A24, and other companies about exclusive content for a premium VR device it plans to launch next year for less than $1,000 (Wall Street Journal)
https://www.wsj.com/busine…

HyperGaussians: High-Dimensional Gaussian Splatting for High-Fidelity Animatable Face Avatars
Gent Serifi, Marcel C. B\"uhler
https://arxiv.org/abs/2507.02803

HyperGaussians: High-Dimensional Gaussian Splatting for High-Fidelity Animatable Face Avatars
We introduce HyperGaussians, a novel extension of 3D Gaussian Splatting for high-quality animatable face avatars. Creating such detailed face avatars from videos is a challenging problem and has numerous applications in augmented and virtual reality. While tremendous successes have been achieved for static faces, animatable avatars from monocular videos still fall in the uncanny valley. The de facto standard, 3D Gaussian Splatting (3DGS), represents a face through a collection of 3D Gaussian pr…

Sources: Meta has talked with Disney, A24, and other entertainment companies about exclusive content for a premium VR device it plans to launch next year (Wall Street Journal)
https://www.wsj.com/business/medi…

Sonify Anything: Towards Context-Aware Sonic Interactions in AR
Laura Sch\"utz, Sasan Matinfar, Ulrich Eck, Daniel Roth, Nassir Navab
https://arxiv.org/abs/2508.01789 https…

Sonify Anything: Towards Context-Aware Sonic Interactions in AR
In Augmented Reality (AR), virtual objects interact with real objects. However, the lack of physicality of virtual objects leads to the absence of natural sonic interactions. When virtual and real objects collide, either no sound or a generic sound is played. Both lead to an incongruent multisensory experience, reducing interaction and object realism. Unlike in Virtual Reality (VR) and games, where predefined scenes and interactions allow for the playback of pre-recorded sound samples, AR requi…

This https://arxiv.org/abs/2412.01753 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Human-Machine Interfaces for Subsea Telerobotics: From Soda-straw to Natural Language Interactions
This review explores the evolution of human-machine interfaces (HMIs) in subsea telerobotics, charting the progression from traditional first-person "soda-straw" consoles -- characterized by narrow field-of-view camera feeds -- to contemporary interfaces leveraging gesture recognition, virtual reality, and natural language processing. We systematically analyze the state-of-the-art literature through three interrelated perspectives: operator experience (including immersive feedback, cognitive wo…

MoDA: Multi-modal Diffusion Architecture for Talking Head Generation
Xinyang Li, Gen Li, Zhihui Lin, Yichen Qian, GongXin Yao, Weinan Jia, Weihua Chen, Fan Wang
https://arxiv.org/abs/2507.03256

MoDA: Multi-modal Diffusion Architecture for Talking Head Generation
Talking head generation with arbitrary identities and speech audio remains a crucial problem in the realm of digital humans and the virtual metaverse. Recently, diffusion models have become a popular generative technique in this field with their strong generation and generalization capabilities. However, several challenges remain for diffusion-based methods: 1) inefficient inference and visual artifacts, which arise from the implicit latent space of Variational Auto-Encoders (VAE), complicating…

Plant-Centric Metaverse: A Biocentric-Creation Framework for Ecological Art and Digital Symbiosis
Ze Gao, Mengyao Guo, Zheng Wang, Xiaolin Zhang, Sihuang Man
https://arxiv.org/abs/2508.04391

Plant-Centric Metaverse: A Biocentric-Creation Framework for Ecological Art and Digital Symbiosis
Digital ecological art represents an emergent frontier where biological media converge with virtual environments. This study examines the paradigm shift from anthropocentric to plant-centered artistic narratives within the metaverse, contextualizing how digital platforms transform ecological expression. However, current frameworks fail to systematically guide artists in leveraging plant agency for digital symbiosis that transcends human-centered creation. We propose the Biocentric-Creation Tran…

TikTok launches a new version of its app called TikTok Pro in Germany, Portugal, and Spain, allowing users to earn "virtual sunshine" to support charities (Aisha Malik/TechCrunch)
https://techcrunch.com/2025/08/01/tiktok-launche…

TikTok launches 'TikTok Pro' in Europe with built-in charity program | TechCrunch
The app features TikTok's new "Sunshine Programme," which allows users to support charitable organizations.

PunchPulse: A Physically Demanding Virtual Reality Boxing Game Designed with, for and by Blind and Low-Vision Players
Sanchita S. Kamath, Omar Khan, Anurag Choudhary, Jan Meyerhoff-Liang, Soyoung Choi, JooYoung Seo
https://arxiv.org/abs/2508.02610

PunchPulse: A Physically Demanding Virtual Reality Boxing Game Designed with, for and by Blind and Low-Vision Players
Blind and low-vision (BLV) individuals experience lower levels of physical activity (PA) compared to sighted peers due to a lack of accessible, engaging exercise options. Existing solutions often rely on auditory cues but do not fully integrate rich sensory feedback or support spatial navigation, limiting their effectiveness. This study introduces PunchPulse, a virtual reality (VR) boxing exergame designed to motivate BLV users to reach and sustain moderate to vigorous physical activity (MVPA) …

How LLMs are Shaping the Future of Virtual Reality
S\"ueda \"Ozkaya, Santiago Berrezueta-Guzman, Stefan Wagner
https://arxiv.org/abs/2508.00737 https://

How LLMs are Shaping the Future of Virtual Reality
The integration of Large Language Models (LLMs) into Virtual Reality (VR) games marks a paradigm shift in the design of immersive, adaptive, and intelligent digital experiences. This paper presents a comprehensive review of recent research at the intersection of LLMs and VR, examining how these models are transforming narrative generation, non-player character (NPC) interactions, accessibility, personalization, and game mastering. Drawing from an analysis of 62 peer reviewed studies published b…

EchoLadder: Progressive AI-Assisted Design of Immersive VR Scenes
Zhuangze Hou, Jingze Tian, Nianlong Li, Farong Ren, Can Liu
https://arxiv.org/abs/2508.02173 https://

EchoLadder: Progressive AI-Assisted Design of Immersive VR Scenes
Mixed reality platforms allow users to create virtual environments, yet novice users struggle with both ideation and execution in spatial design. While existing AI models can automatically generate scenes based on user prompts, the lack of interactive control limits users' ability to iteratively steer the output. In this paper, we present EchoLadder, a novel human-AI collaboration pipeline that leverages large vision-language model (LVLM) to support interactive scene modification in virtual rea…

Assessing Workers Neuro-physiological Stress Responses to Augmented Reality Safety Warnings in Immersive Virtual Roadway Work Zones
Fatemeh Banani Ardecani, Omidreza Shoghli
https://arxiv.org/abs/2506.03113

Assessing Workers Neuro-physiological Stress Responses to Augmented Reality Safety Warnings in Immersive Virtual Roadway Work Zones
This paper presents a multi-stage experimental framework that integrates immersive Virtual Reality (VR) simulations, wearable sensors, and advanced signal processing to investigate construction workers neuro-physiological stress responses to multi-sensory AR-enabled warnings. Participants performed light- and moderate-intensity roadway maintenance tasks within a high-fidelity VR roadway work zone, while key stress markers of electrodermal activity (EDA), heart rate variability (HRV), and electr…

VidAnimator: User-Guided Stylized 3D Character Animation from Human Videos
Xinwu Ye, Jun-Hsiang Yao, Jielin Feng, Shuhong Mei, Xingyu Lan, Siming Chen
https://arxiv.org/abs/2508.01878

VidAnimator: User-Guided Stylized 3D Character Animation from Human Videos
With captivating visual effects, stylized 3D character animation has gained widespread use in cinematic production, advertising, social media, and the potential development of virtual reality (VR) non-player characters (NPCs). However, animating stylized 3D characters often requires significant time and effort from animators. We propose a mixed-initiative framework and interactive system to enable stylized 3D characters to mimic motion in human videos. The framework takes a single-view human vi…

A framework for 3D interaction techniques
Pablo Figueroa, Mark Green, Benjamin Watson
https://arxiv.org/abs/2507.02254 https://arxiv.…

A framework for 3D interaction techniques
This paper presents a software architecture for 3D interaction techniques (ITs) and an object oriented, toolkit-independent framework that implements such architecture. ITs are composed of basic filters connected in a dataflow, where virtual input devices and objects in the scene are sources of information. An execution model defines the general flow of information between filters. This framework has been designed to be extensible: new information types, new input devices, new execution models,…