Tootfinder

SONAR: Self-Distilled Continual Pre-training for Domain Adaptive Audio Representation
Yizhou Zhang, Yuan Gao, Wangjin Zhou, Zicheng Yuan, Keisuke Imoto, Tatsuya Kawahara
https://arxiv.org/abs/2509.15703

SONAR: Self-Distilled Continual Pre-training for Domain Adaptive Audio Representation
Self-supervised learning (SSL) on large-scale datasets like AudioSet has become the dominant paradigm for audio representation learning. While the continuous influx of new, unlabeled audio presents an opportunity to enrich these static representations, a naive approach is to retrain the model from scratch using all available data. However, this method is computationally prohibitive and discards the valuable knowledge embedded in the previously trained model weights. To address this inefficiency…

Tertiary Tides with Eccentric Orbits
Yan Gao, Tjarda Boekholt, Devismita Panda, Tatsuya Akiba, Silvia Toonen
https://arxiv.org/abs/2509.01672 https://arxiv…

Tertiary Tides with Eccentric Orbits
Within hierarchical triple stellar systems, there exists a tidal process unique to them, known as tertiary tides. In this process, the tidal deformation of a tertiary in a hierarchical triple drains energy from the inner binary, causing the inner binary's orbit to shrink. Previous work has uncovered the rate at which tertiary tides drain energy from inner binaries, as a function of orbital and tidal parameters, for hierarchical triples in which the orbits are all circular and coplanar. However,…

Information Propagation in Predator-Prey Dynamics of Turbulent Plasma
Tomohiro Tanogami, Makoto Sasaki, Tatsuya Kobayashi
https://arxiv.org/abs/2508.05127 https://

Information Propagation in Predator-Prey Dynamics of Turbulent Plasma
Magnetically confined fusion plasmas exhibit predator-prey-like cyclic oscillations through the self-regulating interaction between drift-wave turbulence and zonal flow. To elucidate the detailed mechanism and causality underlying this phenomenon, we construct a simple stochastic predator-prey model that incorporates intrinsic fluctuations and analyze its statistical properties from an information-theoretic perspective. We first show that the model exhibits persistent fluctuating cyclic oscilla…

Good Morning #Canada
Many people, that includes you, are worried about #Skynet assuming control of all military systems, but what happens when it starts harvesting our crops? Canadian agricultural scientists are blindly charging ahead in their efforts to fill our farms with robots. It started with self-driving tractors pulling conventional equipment and evolved to fully autonomous vehicles that plow, plant, fertilizer, weed, and harvest. Organic farming is seeing the biggest benefits as robots can hand weed 2 hectares per day, eliminating herbicides.... and farm workers. Almost 15% of Canada’s dairy farms use robotic milking cubicles where cows enter when they need milking, with no cold human hands involved. IMO, using robots to replace hard back breaking labour or tedious driving of equipment up and down a farm field is a good use of technology. But I hope the tech is not priced out of the reach of small farms.
#CanadaIsAwesome #Robotics #Farming
https://news.uoguelph.ca/2024/08/these-self-driving-weed-cutting-robots-transform-the-future-of-farming-says-u-of-g-researcher/