Tootfinder

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Melody’s Echo Chamber:
🎵 In the Stars
#MelodysEchoChamber
https://melodysechochamber.bandcamp.com/track/in-the-stars
https://open.spotify.com/track/2Derfdf5dzn6LXehZFR5Qj

Sources: OpenAI makes a five-year business plan to meet $1T spending pledges; it currently books ~$13B in ARR, 70% of which comes from consumers using ChatGPT (Financial Times)

MMOT: The First Challenging Benchmark for Drone-based Multispectral Multi-Object Tracking
Tianhao Li, Tingfa Xu, Ying Wang, Haolin Qin, Xu Lin, Jianan Li
https://arxiv.org/abs/2510.12565

MMOT: The First Challenging Benchmark for Drone-based Multispectral Multi-Object Tracking
Drone-based multi-object tracking is essential yet highly challenging due to small targets, severe occlusions, and cluttered backgrounds. Existing RGB-based tracking algorithms heavily depend on spatial appearance cues such as color and texture, which often degrade in aerial views, compromising reliability. Multispectral imagery, capturing pixel-level spectral reflectance, provides crucial cues that enhance object discriminability under degraded spatial conditions. However, the lack of dedicate…

Data-independent Beamforming for End-to-end Multichannel Multi-speaker ASR
Can Cui, Paul Magron, Mostafa Sadeghi, Emmanuel Vincent
https://arxiv.org/abs/2509.10234 https://

Data-independent Beamforming for End-to-end Multichannel Multi-speaker ASR
Automatic speech recognition (ASR) in multichannel, multi-speaker scenarios remains challenging due to ambient noise, reverberation and overlapping speakers. In this paper, we propose a beamforming approach that processes specific angular sectors based on their spherical polar coordinates before applying an end-to-end multichannel, multi-speaker ASR system. This method is data-independent and training-free. We demonstrate that using a group of beamformed signals improves ASR performance compare…

Multiscaling in Wasserstein Spaces
Wael Mattar, Nir Sharon
https://arxiv.org/abs/2509.10415 https://arxiv.org/pdf/2509.10415…

Multiscaling in Wasserstein Spaces
We present a novel multiscale framework for analyzing sequences of probability measures in Wasserstein spaces over Euclidean domains. Exploiting the intrinsic geometry of optimal transport, we construct a multiscale transform applicable to both absolutely continuous and discrete measures. Central to our approach is a refinement operator based on McCann's interpolants, which preserves the geodesic structure of measure flows and serves as an upsampling mechanism. Building on this, we introduce th…

Graph Neural Network-Based Multicast Routing for On-Demand Streaming Services in 6G Networks
Xiucheng Wang, Zien Wang, Nan Cheng, Wenchao Xu, Wei Quan, Xuemin Shen
https://arxiv.org/abs/2510.11109

Graph Neural Network-Based Multicast Routing for On-Demand Streaming Services in 6G Networks
The increase of bandwidth-intensive applications in sixth-generation (6G) wireless networks, such as real-time volumetric streaming and multi-sensory extended reality, demands intelligent multicast routing solutions capable of delivering differentiated quality-of-service (QoS) at scale. Traditional shortest-path and multicast routing algorithms are either computationally prohibitive or structurally rigid, and they often fail to support heterogeneous user demands, leading to suboptimal resource …

Drone-Based Multispectral Imaging and Deep Learning for Timely Detection of Branched Broomrape in Tomato Farms
Mohammadreza Narimani, Alireza Pourreza, Ali Moghimi, Mohsen Mesgaran, Parastoo Farajpoor, Hamid Jafarbiglu
https://arxiv.org/abs/2509.09972

Drone-Based Multispectral Imaging and Deep Learning for Timely Detection of Branched Broomrape in Tomato Farms
This study addresses the escalating threat of branched broomrape (Phelipanche ramosa) to California's tomato industry, which supplies over 90 percent of U.S. processing tomatoes. The parasite's largely underground life cycle makes early detection difficult, while conventional chemical controls are costly, environmentally harmful, and often ineffective. To address this, we combined drone-based multispectral imagery with Long Short-Term Memory (LSTM) deep learning networks, using the Synthetic Mi…

🇺🇦 #NowPlaying on KEXP's #Audioasis
Soft Metals:
🎵 The Cold World Melts
#SoftMetals
https://softmetalsct.bandcamp.com/album/the-cold-world-melts
https://open.spotify.com/track/3WxzRJuOmRq72LtAGruLIF

🇺🇦 #NowPlaying on KEXP's #Early
Melody’s Echo Chamber:
🎵 Eyes Closed
#MelodysEchoChamber
https://melodysechochamber.bandcamp.com/track/eyes-closed
https://open.spotify.com/track/7dTZ0dEnpFed6ohli3g5NE

🇺🇦 #NowPlaying on KEXP's #AfternoonShow
Melody’s Echo Chamber:
🎵 Eyes Closed
#MelodysEchoChamber
https://melodysechochamber.bandcamp.com/track/eyes-closed
https://open.spotify.com/track/7dTZ0dEnpFed6ohli3g5NE