extended reality
PulseAugur coverage of extended reality — every cluster mentioning extended reality across labs, papers, and developer communities, ranked by signal.
10 day(s) with sentiment data
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GenAI and XR in Architecture Education: Mixed Results for Collaborative Design
A recent study explored the integration of generative artificial intelligence (GenAI) and extended reality (XR) in architectural design education. Researchers developed a pipeline called GenARch, which combines GenAI fo…
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Build Gemini AI Assistant for Android XR Glasses with Kotlin
A tutorial outlines how to build an AI assistant for Android XR glasses using Kotlin and Google's Gemini model. The guide focuses on integrating AI capabilities into extended reality devices for enhanced user interaction.
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New framework "Speak to the City" uses gaze and language to identify vehicle landmarks
Researchers have developed a new framework called "Speak to the City" to improve how passengers in vehicles query physical landmarks. This system fuses user gaze with natural language to identify Points of Interest, add…
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SIGGRAPH 2026 highlights AI-powered 4D scenes and text-to-hair generation
SIGGRAPH 2026 is showcasing advancements in AI-driven content creation, including a versatile image generation system capable of producing complex 4D scenes. A key highlight is the ability to generate 3D hair images tha…
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Medical imaging system combines segmentation with real-time XR visualization
A system has been developed that can colorize and segment basic black and white DICOM medical images. This system then displays these enhanced images in a gesture-controlled holographic glasses environment at 30 frames …
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XR gaze data representation impacts privacy and utility
A new research paper explores how the way gaze data is represented in extended reality (XR) systems can impact both user utility and privacy. The study, using the HoloAssist dataset, compared raw gaze, spatial attention…
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New framework predicts XR network traffic and QoE risk
Researchers have developed ResLearn-XR, a novel residual learning framework designed to predict network traffic and assess Quality-of-Experience (QoE) risk in extended reality (XR) environments. This two-stage temporal …
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Call to Action Issued on AI, XR, and Perplexity
A document shared on Mastodon by Llewelyn Pritchard outlines a call to action regarding AI, extended reality, Perplexity, and ChatGDP. The document, accessible via a Google Docs link, encourages individuals to "Act Now,…
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Meta Executive Unmasked as Prolific Torrent Pirate for AI Training
A prolific torrent pirate, identified as a Meta executive, has been unmasked. This individual was reportedly using a significant number of files, totaling 20,000, for AI training purposes, specifically for extended real…
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New XR Agent Framework Enhances Human Performance with BCI and Behavioral Data
Researchers have developed OLIVE, a framework designed to enhance human performance in demanding tasks by integrating a foundation model with real-time online behavior and Brain-Computer Interface (BCI) evidence. This s…
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New RegCL framework adapts SAM for multi-sensorial AI
Researchers have developed RegCL, a novel framework for continually adapting the Segment Anything Model (SAM) for visual grounding in multi-sensorial media like AR/VR and embodied AI. Unlike traditional methods that req…
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VITURE launches "KungfuPunk" XR glasses for "Phantom Blade Zero"
VITURE, a leader in XR glasses, has partnered with S-GAME to release a limited-edition "Phantom Beast" XR glasses collection inspired by the "KungfuPunk" aesthetic of the upcoming game "Phantom Blade Zero." These glasse…
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Google AI's AgentHands prototype adds expressive hand gestures to XR agents
Google AI has developed AgentHands, a research prototype that enhances conversational AI agents in Extended Reality (XR) by generating synchronized, expressive hand gestures. This system aims to improve user engagement …
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New human-centric world model enhances XR interaction with pose control
Researchers have developed a new human-centric video world model designed for extended reality (XR) applications. This model is conditioned on users' tracked real-world motion, specifically head and hand poses, allowing…
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New framework generates egocentric video from exocentric sources
Researchers have developed Grounded-Exo2Ego, a novel framework for generating egocentric video from exocentric video, which is crucial for augmented reality, virtual reality, and embodied artificial intelligence applica…
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New TR-GS framework enhances sparse-view CT rendering with t-distribution Gaussian splatting
Researchers have developed TR-GS, a novel framework for high-fidelity volumetric rendering of sparse-view computed tomography (CT) data. This method utilizes t-distribution Gaussian splatting primitives and a ray-confid…
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New detector estimates hand joint visibility for AR/VR and robotics
Researchers have developed the Hand Visibility Detector, a novel model designed to estimate the visibility of individual hand joints. This tool is crucial for applications in extended reality and robotics, where occlude…
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XR catheter tracking improves cardiac intervention training
Researchers have developed an Extended Reality (XR) platform to improve catheter tracking during cardiac interventions. The system uses a machine-vision algorithm for five-degree-of-freedom tracking and an electromechan…
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New MARL framework slashes XR traffic delays in edge computing
Researchers have developed a new multi-agent reinforcement learning (MARL) framework to improve traffic scheduling in time-sensitive networking (TSN) environments, particularly for applications like extended reality (XR…
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New Multi-Agent Transformer optimizes XR traffic scheduling in TSN networks
Researchers have developed a novel Multi-Agent Transformer (MAT) approach to optimize traffic scheduling for extended reality (XR) applications within Time-Sensitive Networking (TSN) and Mobile Edge Computing (MEC) envi…