Tootfinder

Maximizing the Promptness of Metaverse Systems using Edge Computing by Deep Reinforcement Learning
Tam Ninh Thi-Thanh, Trinh Van Chien, Hung Tran, Nguyen Hoai Son, Van Nhan Vo
https://arxiv.org/abs/2506.02657

Maximizing the Promptness of Metaverse Systems using Edge Computing by Deep Reinforcement Learning
Metaverse and Digital Twin (DT) have attracted much academic and industrial attraction to approach the future digital world. This paper introduces the advantages of deep reinforcement learning (DRL) in assisting Metaverse system-based Digital Twin. In this system, we assume that it includes several Metaverse User devices collecting data from the real world to transfer it into the virtual world, a Metaverse Virtual Access Point (MVAP) undertaking the processing of data, and an edge computing ser…

The metaverse is going great!

Using "AI" is no longer optional at Microsoft. Reminds me how when Meta had to force their engineers to use their "Metaverse" product.
If your product doesn't even gain traction internally, maybe it's just ... shit?
(Original title: ‘AI is no longer optional’ — Microsoft admits AI doesn’t help at work)

‘AI is no longer optional’ — Microsoft admits AI doesn’t help at work
An internal Microsoft memo has leaked. It was written by Julia Liuson, president of the Developer Division at Microsoft and GitHub. The memo tells managers to evaluate employees based on how much t…

"#Microsoft’s #AI tools don’t work. Microsoft AI doesn’t make you more effective. Microsoft AI won’t do the job better.
If it did, Microsoft staff would be using it already. The competition inside Microsoft is vicious. If AI would get them ahead of the other guy, they’d use it."
via…

Meta's Anduril deal shows how much has changed in the past couple of years in Silicon Valley, where developing war tech was once considered a hard red line (Dave Lee/Bloomberg)
https://www.bloomberg.com/opinion/articles

Context-Aware Semantic Communication for the Wireless Networks
Guangyuan Liu, Yinqiu Liu, Jiacheng Wang, Hongyang Du, Dusit Niyato, Jiawen Kang, Zehui Xiong, Abbas Jamalipour
https://arxiv.org/abs/2505.23249

Context-Aware Semantic Communication for the Wireless Networks
In next-generation wireless networks, supporting real-time applications such as augmented reality, autonomous driving, and immersive Metaverse services demands stringent constraints on bandwidth, latency, and reliability. Existing semantic communication (SemCom) approaches typically rely on static models, overlooking dynamic conditions and contextual cues vital for efficient transmission. To address these challenges, we propose CaSemCom, a context-aware SemCom framework that leverages a Large L…

Assessing the Impact of Refactoring Energy-Inefficient Code Patterns on Software Sustainability: An Industry Case Study
Rohit Mehra, Priyavanshi Pathania, Vibhu Saujanya Sharma, Vikrant Kaulgud, Sanjay Podder, Adam P. Burden
https://arxiv.org/abs/2506.09370

Assessing the Impact of Refactoring Energy-Inefficient Code Patterns on Software Sustainability: An Industry Case Study
Advances in technologies like artificial intelligence and metaverse have led to a proliferation of software systems in business and everyday life. With this widespread penetration, the carbon emissions of software are rapidly growing as well, thereby negatively impacting the long-term sustainability of our environment. Hence, optimizing software from a sustainability standpoint becomes more crucial than ever. We believe that the adoption of automated tools that can identify energy-inefficient p…

UAV Object Detection and Positioning in a Mining Industrial Metaverse with Custom Geo-Referenced Data
Vasiliki Balaska, Ioannis Tsampikos Papapetros, Katerina Maria Oikonomou, Loukas Bampis, Antonios Gasteratos
https://arxiv.org/abs/2506.13505

UAV Object Detection and Positioning in a Mining Industrial Metaverse with Custom Geo-Referenced Data
The mining sector increasingly adopts digital tools to improve operational efficiency, safety, and data-driven decision-making. One of the key challenges remains the reliable acquisition of high-resolution, geo-referenced spatial information to support core activities such as extraction planning and on-site monitoring. This work presents an integrated system architecture that combines UAV-based sensing, LiDAR terrain modeling, and deep learning-based object detection to generate spatially accur…

Semantic Communication-Enabled Cloud-Edge-End-collaborative Metaverse Services Architecure
Yuxuan Li, Sheng Jinag, Bizhu Wang
https://arxiv.org/abs/2506.10001

Semantic Communication-Enabled Cloud-Edge-End-collaborative Metaverse Services Architecure
With technology advancing and the pursuit of new audiovisual experiences strengthening, the metaverse has gained surging enthusiasm. However, it faces practical hurdles as substantial data like high-resolution virtual scenes must be transmitted between cloud platforms and VR devices. Specifically, the VR device's wireless transmission hampered by insufficient bandwidth, causes speed and delay problems. Meanwhile, poor channel quality leads to data errors and worsens user experience. To solve th…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[1/7]:
A philosophical and ontological perspective on Artificial General Intelligence and the Metaverse

You Only Render Once: Enhancing Energy and Computation Efficiency of Mobile Virtual Reality
Xingyu Chen, Xinmin Fang, Shuting Zhang, Xinyu Zhang, Liang He, Zhengxiong Li
https://arxiv.org/abs/2506.15183

You Only Render Once: Enhancing Energy and Computation Efficiency of Mobile Virtual Reality
Mobile Virtual Reality (VR) is essential to achieving convenient and immersive human-computer interaction and realizing emerging applications such as Metaverse. However, existing VR technologies require two separate renderings of binocular images, causing a significant bottleneck for mobile devices with limited computing capability and power supply. This paper proposes an approach to rendering optimization for mobile VR called EffVR. By utilizing the per-pixel attribute, EffVR can generate bino…