Tootfinder

"Populism, platforms, and the challenges of science communication"
https://elephantinthelab.org/populism-platforms-and-the-challenges-of-science-communication/
"Teresa Völker interviewed Jeanette Hofmann about the rol…

🌽 Closely sown corn plants communicate to defend themselves
https://english.elpais.com/science-tech/2025-08-24/closely-sown-corn-plants-communicate-to-defend-themselves.html

Closely sown corn plants communicate to defend themselves
By releasing an alcohol into the air that causes neighbors’ roots to exude pesticides, they can even protect subsequent generations of crops

'The digital commons should not be treated as an object ripe for extraction, but as an expression of “commoning” [Dulong de Rosnay and Stalder 2020]; i.e., as a manifestation of the practice of making, maintaining, and protecting shared and open resources.'
From 'Generative AI and the Future of the Digital Commons' https://www.…

Generative AI and the Future of the Digital Commons: Five Open Questions and Knowledge Gaps
The rapid advancement of Generative AI (GenAI) relies heavily on the digital commons, a vast collection of free and open online content that is created, shared, and maintained by communities. However, this relationship is becoming increasingly strained due to financial burdens, decreased contributions, and misalignment between AI models and community norms. As we move deeper into the GenAI era, it is essential to examine the interdependent relationship between GenAI, the long-term sustainabilit…

MACTAS: Self-Attention-Based Module for Inter-Agent Communication in Multi-Agent Reinforcement Learning
Maciej Wojtala, Bogusz Stefa\'nczyk, Dominik Bogucki, {\L}ukasz Lepak, Jakub Strykowski, Pawe{\l} Wawrzy\'nski
https://arxiv.org/abs/2508.13661

MACTAS: Self-Attention-Based Module for Inter-Agent Communication in Multi-Agent Reinforcement Learning
Communication is essential for the collective execution of complex tasks by human agents, motivating interest in communication mechanisms for multi-agent reinforcement learning (MARL). However, existing communication protocols in MARL are often complex and non-differentiable. In this work, we introduce a self-attention-based communication module that exchanges information between the agents in MARL. Our proposed approach is fully differentiable, allowing agents to learn to generate messages in …

Persistent and Partitioned MPI for Stencil Communication
Gerald Collom, Jason Burmark, Olga Pearce, Amanda Bienz
https://arxiv.org/abs/2508.13370 https://a…

Persistent and Partitioned MPI for Stencil Communication
Many parallel applications rely on iterative stencil operations, whose performance are dominated by communication costs at large scales. Several MPI optimizations, such as persistent and partitioned communication, reduce overheads and improve communication efficiency through amortized setup costs and reduced synchronization of threaded sends. This paper presents the performance of stencil communication in the Comb benchmarking suite when using non blocking, persistent, and partitioned communica…

Niners TE George Kittle on DC Robert Saleh's return: 'Violence is coming' https://www.nfl.com/news/niners-george-kittle-robert-saleh-return-violence-is-coming

Rubio denies European leaders coming to White House to 'keep Zelensky from being bullied': https://benborges.xyz/2025/08/18/rubio-denies-european-leaders-coming.html

Deep Semantic Inference over the Air: An Efficient Task-Oriented Communication System
Chenyang Wang, Roger Olsson, Stefan Forsstr\"om, Qing He
https://arxiv.org/abs/2508.12748

Deep Semantic Inference over the Air: An Efficient Task-Oriented Communication System
Empowered by deep learning, semantic communication marks a paradigm shift from transmitting raw data to conveying task-relevant meaning, enabling more efficient and intelligent wireless systems. In this study, we explore a deep learning-based task-oriented communication framework that jointly considers classification performance, computational latency, and communication cost. We adopt ResNets-based models and evaluate them on the CIFAR-10 and CIFAR-100 datasets to simulate real-world classifica…

Raiders mailbag: Are changes coming to offensive line? https://www.reviewjournal.com/sports/raiders/raiders-mailbag-are-changes-coming-to-offensive-line-3463103/

Communication Efficient Split Learning of ViTs with Attention-based Double Compression
Federico Alvetreti, Jary Pomponi, Paolo Di Lorenzo, Simone Scardapane
https://arxiv.org/abs/2509.15058

Communication Efficient Split Learning of ViTs with Attention-based Double Compression
This paper proposes a novel communication-efficient Split Learning (SL) framework, named Attention-based Double Compression (ADC), which reduces the communication overhead required for transmitting intermediate Vision Transformers activations during the SL training process. ADC incorporates two parallel compression strategies. The first one merges samples' activations that are similar, based on the average attention score calculated in the last client layer; this strategy is class-agnostic, mea…