Tootfinder

To solve marine plastic pollution, experts say production and consumption patterns must change fundamentally https://phys.org/news/2025-10-marine-plastic-pollution-experts-production.html

To solve marine plastic pollution, experts say production and consumption patterns must change fundamentally
Many measures have been initiated to reduce plastic pollution in Norway. Only a few of them will lead to extensive change and cleanup, a new study shows.

How built environment shapes cycling experience: A multi-scale review in historical urban contexts
Haining Ding, Chenxi Wang, Michal Gath-Morad
https://arxiv.org/abs/2509.15657 …

How built environment shapes cycling experience: A multi-scale review in historical urban contexts
Understanding how built environments shape human experience is central to designing sustainable cities. Cycling provides a critical case: it delivers health and environmental benefits, yet its uptake depends strongly on the experience of cycling rather than infrastructure alone. Research on this relationship has grown rapidly but remains fragmented across disciplines and scales, and has concentrated on network-level analyses of routes and connectivity. This bias is especially problematic in his…

Moody Urbanity - Past 📴
情绪化城市 - 过去 📴
📷 Zeiss Ikon Super Ikonta 533/16
🎞️ Ilford HP5, expired 1993
#filmphotography #Photography #blackandwhite

Optimization techniques for SQL ML queries: A performance analysis of real-time feature computation in OpenMLDB
Mashkhal A. Sidiq, Aras A. Salih, Samrand M. Hassan
https://arxiv.org/abs/2509.15529

Optimization techniques for SQL+ML queries: A performance analysis of real-time feature computation in OpenMLDB
In this study, we optimize SQL+ML queries on top of OpenMLDB, an open-source database that seamlessly integrates offline and online feature computations. The work used feature-rich synthetic dataset experiments in Docker, which acted like production environments that processed 100 to 500 records per batch and 6 to 12 requests per batch in parallel. Efforts have been concentrated in the areas of better query plans, cached execution plans, parallel processing, and resource management. The experim…

Controlled Yet Natural: A Hybrid BDI-LLM Conversational Agent for Child Helpline Training
Mohammed Al Owayyed, Adarsh Denga, Willem-Paul Brinkman
https://arxiv.org/abs/2509.16784

Controlled Yet Natural: A Hybrid BDI-LLM Conversational Agent for Child Helpline Training
Child helpline training often relies on human-led roleplay, which is both time- and resource-consuming. To address this, rule-based interactive agent simulations have been proposed to provide a structured training experience for new counsellors. However, these agents might suffer from limited language understanding and response variety. To overcome these limitations, we present a hybrid interactive agent that integrates Large Language Models (LLMs) into a rule-based Belief-Desire-Intention (BDI…

Apple unveils Mini Apps Partner Program, offering a reduced 15% commission on IAPs for mini apps, or "self-contained" experiences built with web tech like HTML5 (Sarah Perez/TechCrunch)
https://techcrunch.com/2025/11/13/apple-halves-commissions-for-m…

Apple halves commissions for mini app makers | TechCrunch
Apple introduces a new program for app developers offering a reduced 15% commission on qualifying mini app transactions.

Well you don't get to have it both ways, employers.
https://www.expresspros.com/newsroom/news-releases/news-releases/2025/11/ai-is-reshaping-collaboration-but-55-percent-of-…

AI Is Reshaping Collaboration, but 55% of US Employers Worry It’s Replacing Teamwork
AI is rapidly changing how employees work together, and new data shows that most companies see it as positive, at least for now.

AudioGenie-Reasoner: A Training-Free Multi-Agent Framework for Coarse-to-Fine Audio Deep Reasoning
Yan Rong, Chenxing Li, Dong Yu, Li Liu
https://arxiv.org/abs/2509.16971 https:…

AudioGenie-Reasoner: A Training-Free Multi-Agent Framework for Coarse-to-Fine Audio Deep Reasoning
Audio deep reasoning is a challenging task that requires expert-level perception, multi-step logical inference, and the integration of contextual knowledge. However, existing models suffer from a gap between audio perception and reasoning abilities due to the lack of training data with explicit reasoning chains and the absence of mechanisms for active exploration and iterative refinement. To address these challenges, we propose AudioGenie-Reasoner (AGR), the first unified training-free multi-ag…

MoBiLE: Efficient Mixture-of-Experts Inference on Consumer GPU with Mixture of Big Little Experts
Yushu Zhao, Yubin Qin, Yang Wang, Xiaolong Yang, Huiming Han, Shaojun Wei, Yang Hu, Shouyi Yin
https://arxiv.org/abs/2510.12357

MoBiLE: Efficient Mixture-of-Experts Inference on Consumer GPU with Mixture of Big Little Experts
Mixture-of-Experts (MoE) models have recently demonstrated exceptional performance across a diverse range of applications. The principle of sparse activation in MoE models facilitates an offloading strategy, wherein active experts are maintained in GPU HBM, while inactive experts are stored in CPU DRAM. The efficacy of this approach, however, is fundamentally constrained by the limited bandwidth of the CPU-GPU interconnect. To mitigate this bottleneck, existing approaches have employed prefetch…

The Rhythm In Anything: Audio-Prompted Drums Generation with Masked Language Modeling
Patrick O'Reilly, Julia Barnett, Hugo Flores Garc\'ia, Annie Chu, Nathan Pruyne, Prem Seetharaman, Bryan Pardo
https://arxiv.org/abs/2509.15625

The Rhythm In Anything: Audio-Prompted Drums Generation with Masked Language Modeling
Musicians and nonmusicians alike use rhythmic sound gestures, such as tapping and beatboxing, to express drum patterns. While these gestures effectively communicate musical ideas, realizing these ideas as fully-produced drum recordings can be time-consuming, potentially disrupting many creative workflows. To bridge this gap, we present TRIA (The Rhythm In Anything), a masked transformer model for mapping rhythmic sound gestures to high-fidelity drum recordings. Given an audio prompt of the desi…