Tootfinder

hey quick question
what drugs were the RMII people on
multiplexing a fully asynchronous signal (CRS) with a fully synchronous signal (DV) to get this weird... half-asynchronous-half-synchronous thing where *some* rising edges are referenced to REF_CLK and some are not, but all falling edges are
what is wrong with them? and more importantly how the fuck are you supposed to use it in a MAC??

LinkedIn tips:
1. You don't have to read the posts.
2. If you don't like a post from someone you follow, then stop following them. You can keep a connection without following them!
3. If you don't like a post from someone you don't follow, then mark it as not interested. Send the signal to inform both the recommendation algorithm, and the people who design the recommendation algorithm, what content you don't want to see.
Whatever other people are…

Vision-driven River Following of UAV via Safe Reinforcement Learning using Semantic Dynamics Model
Zihan Wang, Nina Mahmoudian
https://arxiv.org/abs/2508.09971 https://

Vision-driven River Following of UAV via Safe Reinforcement Learning using Semantic Dynamics Model
Vision-driven autonomous river following by Unmanned Aerial Vehicles is critical for applications such as rescue, surveillance, and environmental monitoring, particularly in dense riverine environments where GPS signals are unreliable. We formalize river following as a coverage control problem in which the reward function is submodular, yielding diminishing returns as more unique river segments are visited, thereby framing the task as a Submodular Markov Decision Process. First, we introduce Ma…

Happening right now in Gaza: Israel’s occupation force is expanding its ground offensive.
(Screenshot posted from private chat with permission.)
@…
#israel #genocide

LLM-Driven Dual-Level Multi-Interest Modeling for Recommendation
Ziyan Wang, Yingpeng Du, Zhu Sun, Jieyi Bi, Haoyan Chua, Tianjun Wei, Jie Zhang
https://arxiv.org/abs/2507.10917

LLM-Driven Dual-Level Multi-Interest Modeling for Recommendation
Recently, much effort has been devoted to modeling users' multi-interests based on their behaviors or auxiliary signals. However, existing methods often rely on heuristic assumptions, e.g., co-occurring items indicate the same interest of users, failing to capture user multi-interests aligning with real-world scenarios. While large language models (LLMs) show significant potential for multi-interest analysis due to their extensive knowledge and powerful reasoning capabilities, two key challenge…

Ukraine's security service says AI allowed its drones to keep flying "along a pre-planned route" even after losing signal in Russia during "Operation Spiderweb" (Fabrice Deprez/Financial Times)

How AI guided Ukraine’s drones to hit Russian airfields
Artificial intelligence took over the steering of unmanned quadcopters after losing signal

Information Field Theory based Event Reconstruction for Cosmic Ray Radio Detectors
Simon Str\"ahnz, Tim Huege, Torsten En{\ss}lin, Karen Terveer, Anna Nelles
https://arxiv.org/abs/2507.10738

Information Field Theory based Event Reconstruction for Cosmic Ray Radio Detectors
Detection of extensive air showers with radio antennas is an appealing technique in cosmic ray physics. However, because of the high level of measurement noise, current reconstruction methods still leave room for improvement. Furthermore, reconstruction efforts typically focus only on a single aspect of the signal, such as the energy fluence or arrival time. Bayesian inference is then a natural choice for a holistic approach to reconstruction, yet, this problem would be ill-posed, since the ele…

First images of Antares photosphere from spectropolarimetry
Quentin Pilate, Eric Josselin, Agn\`es L\`ebre, Arturo L\'opez Ariste, Philippe Mathias, Alexis Lavail
https://arxiv.org/abs/2507.08614

First images of Antares photosphere from spectropolarimetry
Antares is the closest red supergiant (RSG) to Earth. The discovery of linear polarization in the atomic lines of the star opens the path to produce direct images of the photosphere, hence probing the dynamics at the surface. We analyze this linear polarization signals following the same scheme as has been previously done for the RSG Betelgeuse, and find that they are comparable in all its details. This allows us to use the same models for the analysis of these polarization signals in both star…

Some talk locally about what the persistent carrier signal is at 7.235 MHz that often (but not always) interferes with one of our local ARES nets. I'm convinced it's the North Korean station that transmits a few hours weekly, in Korean, Chinese and English. My gut feeling is that they transmit a bare carrier when there is no program, to hold the frequency.
Any other ideas? It's a huge signal; I suspect it's not in any way local to California.

Dual-View Disentangled Multi-Intent Learning for Enhanced Collaborative Filtering
Shanfan Zhang, Yongyi Lin, Yuan Rao, Chenlong Zhang
https://arxiv.org/abs/2506.11538

Dual-View Disentangled Multi-Intent Learning for Enhanced Collaborative Filtering
Disentangling user intentions from implicit feedback has become a promising strategy to enhance recommendation accuracy and interpretability. Prior methods often model intentions independently and lack explicit supervision, thus failing to capture the joint semantics that drive user-item interactions. To address these limitations, we propose DMICF, a unified framework that explicitly models interaction-level intent alignment while leveraging structural signals from both user and item perspectiv…