Tootfinder

Growth Index in the $\gamma\delta$CDM model
Cemsinan Deliduman, Furkan \c{S}akir Dilsiz, Selinay Sude Binici
https://arxiv.org/abs/2508.14749 https://arxiv…

Growth Index in the $γδ$CDM model
To better distinguish the nature of $H_0$ and $S_8$ tensions, it is necessary to separate the effects of expansion and the growth of structure. The growth index $γ$ was identified as the single parameter that characterizes the growth of density fluctuations independently of the effects of cosmic expansion. Analyses performed with various cosmological datasets indicate that the growth index has to be larger than its theoretically predicted value in the $Λ$CDM model. Cosmological models based o…

physics_collab: Multilayer physicist collaborations (2015)
Two multiplex networks of coauthorships among the Pierre Auger Collaboration of physicists (2010-2012) and among researchers who have posted preprints on arXiv.org (all papers up to May 2014). Layers represent different categories of publication, and an edge's weight indicates the number of reports written by the authors. These layers are one-mode projections from the underlying author-paper bipartite network.
This n…

Ah, dus *de* manier om Iran te dwingen een oorlog te beëindigen is zelf die oorlog te starten?

So, my Valve Index arrived. As you may know, it officially supports Linux.
It works, sort of, but dear god what a mess that was to get working.
Within the span of one evening, I have seen it all: GPU freezing, failing to aquire a DRM lease, firmware updates crashing, latency, and some weird swap chain flickering issue.
It works, though. On Linux. And I have a plethora of paths to get it perfect. This weekend will be awesome.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective
Victor Shatov, Steffen Schieler, Charlotte Muth, Jos\'e Miguel Mateos-Ramos, Ivo Bizon, Florian Euchner, Sebastian Semper, Stephan ten Brink, Gerhard Fettweis, Christian H\"ager, Henk Wymeersch, Laurent Schmalen, Reiner Thom\"a, Norman Franchi
https://

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective
The sixth-generation wireless communications (6G) is often labeled as "connected intelligence". Radio sensing, aligned with machine learning (ML) and artificial intelligence (AI), promises, among other benefits, breakthroughs in the system's ability to perceive the environment and effectively utilize this awareness. This article offers a tutorial-style survey of AI and ML approaches to enhance the sensing capabilities of next-generation wireless networks. To this end, while staying in the frame…

Overcoming Latency Bottlenecks in On-Device Speech Translation: A Cascaded Approach with Alignment-Based Streaming MT
Zeeshan Ahmed, Frank Seide, Niko Moritz, Ju Lin, Ruiming Xie, Simone Merello, Zhe Liu, Christian Fuegen
https://arxiv.org/abs/2508.13358

Overcoming Latency Bottlenecks in On-Device Speech Translation: A Cascaded Approach with Alignment-Based Streaming MT
This paper tackles several challenges that arise when integrating Automatic Speech Recognition (ASR) and Machine Translation (MT) for real-time, on-device streaming speech translation. Although state-of-the-art ASR systems based on Recurrent Neural Network Transducers (RNN-T) can perform real-time transcription, achieving streaming translation in real-time remains a significant challenge. To address this issue, we propose a simultaneous translation approach that effectively balances translation…

A look at the lack of consensus in the tech industry on what AGI is, whether LLMs are the best path to it, and what AGI might look like if or when it arrives (Melissa Heikkilä/Financial Times)

Why Big Tech cannot agree on artificial general intelligence
It has been tipped as the next big breakthrough out of Silicon Valley, but is it a scientific goal — or a marketing buzzword?

Vehicular Cloud Computing: A cost-effective alternative to Edge Computing in 5G networks
Rosario Patan\`e, Nadjib Achir, Andrea Araldo, Lila Boukhatem
https://arxiv.org/abs/2507.15670

Vehicular Cloud Computing: A cost-effective alternative to Edge Computing in 5G networks
Edge Computing (EC) is a computational paradigm that involves deploying resources such as CPUs and GPUs near end-users, enabling low-latency applications like augmented reality and real-time gaming. However, deploying and maintaining a vast network of EC nodes is costly, which can explain its limited deployment today. A new paradigm called Vehicular Cloud Computing (VCC) has emerged and inspired interest among researchers and industry. VCC opportunistically utilizes existing and idle vehicular …

Comprehensive Privacy Risk Assessment in Social Networks Using User Attributes Social Graphs and Text Analysis
Md Jahangir Alam, Ismail Hossain, Sai Puppala, Sajedul Talukder
https://arxiv.org/abs/2507.15124

Comprehensive Privacy Risk Assessment in Social Networks Using User Attributes Social Graphs and Text Analysis
The rise of social networking platforms has amplified privacy threats as users increasingly share sensitive information across profiles, content, and social connections. We present a Comprehensive Privacy Risk Scoring (CPRS) framework that quantifies privacy risk by integrating user attributes, social graph structures, and user-generated content. Our framework computes risk scores across these dimensions using sensitivity, visibility, structural similarity, and entity-level analysis, then aggre…

”Apple has effectively infinite resources and operates on their own timeline, but everyone else does not have this kind of luxury. Springing big changes like this all at once forces so many independent developers, entire companies, and the industry as a whole to freeze their own development schedules to accommodate Apple’s design system.
It’s asking a lot. For almost nothing in return.”
Great summary I agree with!

Rose-Gold-Tinted Liquid Glasses