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Uzbek fintech and e-commerce company Uzum raised $65.5M led by Tencent and VR Capital at a ~$1.5B valuation, up from $1.16B in March 2024 after a $114M Series A (Jagmeet Singh/TechCrunch)
https://techcrunch.com/2025/08/05/uzbekistans-first-unicorn-…

Uzbekistan's first unicorn, Uzum, leaps to a $1.5B valuation | TechCrunch
Uzbekistan's Uzum has raised $65.5 million in a new funding round co-led by China's Tencent and the New York- and London-based VR Capital, with participation from U.S.-based FinSight Capital.

How Well Does GPT-4o Understand Vision? Evaluating Multimodal Foundation Models on Standard Computer Vision Tasks
Rahul Ramachandran, Ali Garjani, Roman Bachmann, Andrei Atanov, O\u{g}uzhan Fatih Kar, Amir Zamir
https://arxiv.org/abs/2507.01955

How Well Does GPT-4o Understand Vision? Evaluating Multimodal Foundation Models on Standard Computer Vision Tasks
Multimodal foundation models, such as GPT-4o, have recently made remarkable progress, but it is not clear where exactly these models stand in terms of understanding vision. In this paper, we benchmark the performance of popular multimodal foundation models (GPT-4o, o4-mini, Gemini 1.5 Pro and Gemini 2.0 Flash, Claude 3.5 Sonnet, Qwen2-VL, Llama 3.2) on standard computer vision tasks (semantic segmentation, object detection, image classification, depth and surface normal prediction) using establ…

Are We SOLID Yet? An Empirical Study on Prompting LLMs to Detect Design Principle Violations
Fatih Pehlivan, Ar\c{c}in \"Ulk\"u Erg\"uzen, Sahand Moslemi Yengejeh, Mayasah Lami, Anil Koyuncu
https://arxiv.org/abs/2509.03093

Are We SOLID Yet? An Empirical Study on Prompting LLMs to Detect Design Principle Violations
Traditional static analysis methods struggle to detect semantic design flaws, such as violations of the SOLID principles, which require a strong understanding of object-oriented design patterns and principles. Existing solutions typically focus on individual SOLID principles or specific programming languages, leaving a gap in the ability to detect violations across all five principles in multi-language codebases. This paper presents a new approach: a methodology that leverages tailored prompt e…

HateBuffer: Safeguarding Content Moderators' Mental Well-Being through Hate Speech Content Modification
Subin Park, Jeonghyun Kim, Jeanne Choi, Joseph Seering, Uichin Lee, Sung-Ju Lee
https://arxiv.org/abs/2508.00439

HateBuffer: Safeguarding Content Moderators' Mental Well-Being through Hate Speech Content Modification
Hate speech remains a persistent and unresolved challenge in online platforms. Content moderators, working on the front lines to review user-generated content and shield viewers from hate speech, often find themselves unprotected from the mental burden as they continuously engage with offensive language. To safeguard moderators' mental well-being, we designed HateBuffer, which anonymizes targets of hate speech, paraphrases offensive expressions into less offensive forms, and shows the original …

Alte Platten in neuen Kleidern: Betrug auch bei externen Festplatten
Auf Amazon sind UnionSine-Festplatten ein Bestseller. Eine Untersuchung zeigt: In neuen Gehäusen stecken teilweise alte, gebrauchte HDDs.

#Nager in #Chicago verändern sich sichtbar. Eine neue Studie des Field Museum zeigt, dass sich über 100 Jahre hinweg Schädel von #Streifenhörnchen und Wühlmäusen an städtische Bedingungen an…

Replaced article(s) found for stat.ME. https://arxiv.org/list/stat.ME/new
[1/1]:
- Adaptive greedy forward variable selection for linear regression models with incomplete data usin...
Yong-Shiuan Lee

UUSN Journal seeks Articles and Book reviews
https://ift.tt/1vj2NIu
updated: Thursday, July 3, 2025 - 2:57pmfull name / name of organization: Unitarian Universalist…
via Input 4 RELCFP https…

DexVLG: Dexterous Vision-Language-Grasp Model at Scale
Jiawei He, Danshi Li, Xinqiang Yu, Zekun Qi, Wenyao Zhang, Jiayi Chen, Zhaoxiang Zhang, Zhizheng Zhang, Li Yi, He Wang
https://arxiv.org/abs/2507.02747

DexVLG: Dexterous Vision-Language-Grasp Model at Scale
As large models gain traction, vision-language-action (VLA) systems are enabling robots to tackle increasingly complex tasks. However, limited by the difficulty of data collection, progress has mainly focused on controlling simple gripper end-effectors. There is little research on functional grasping with large models for human-like dexterous hands. In this paper, we introduce DexVLG, a large Vision-Language-Grasp model for Dexterous grasp pose prediction aligned with language instructions usin…

UUSN Journal seeks Articles and Book reviews
https://ift.tt/1vj2NIu
updated: Thursday, July 3, 2025 - 2:57pmfull name / name of organization: Unitarian Universalist…
via Input 4 RELCFP https…