Tootfinder

Tariffs will pay for tax cuts?
-- The White House can’t be serious.
After passing tax cuts that will likely cost $5.5 trillion over the coming decade, the Trump administration is under increasing pressure to rein in soaring budget deficits. So what’s the plan? Tariffs, tariffs and more tariffs.

Commerce Secretary Howard Lutnick recently claimed on CBS’s “Face the Nation” that tariff revenue “is going to pay off our deficit.”
Administration estimates of 10-year tari…

Tariffs will pay for tax cuts? The White House can’t be serious.
Trump officials say trillions of dollars in tariff revenue will pay for their tax cuts. Don’t hold your breath.

Bijan Robinson says Falcons are 'not a team that looks ahead anymore' after coming up short in recent years

https://www.cbssports.com/nfl/news/bija…

I'm right chuffed! Even just after watering it, and having the door open for a while, our greenhouse is between 25-40 degrees C, in the last week of winter. We've already got a bunch of seedlings coming up. I think it's going to be a good summer for veggies in our household. Now if I can just find a good spot to plant that Avocado tree... 🤔

AgentMaster: A Multi-Agent Conversational Framework Using A2A and MCP Protocols for Multimodal Information Retrieval and Analysis
Callie C. Liao, Duoduo Liao, Sai Surya Gadiraju
https://arxiv.org/abs/2507.21105

AgentMaster: A Multi-Agent Conversational Framework Using A2A and MCP Protocols for Multimodal Information Retrieval and Analysis
The rise of Multi-Agent Systems (MAS) in Artificial Intelligence (AI), especially integrated with Large Language Models (LLMs), has greatly facilitated the resolution of complex tasks. However, current systems are still facing challenges of inter-agent communication, coordination, and interaction with heterogeneous tools and resources. Most recently, the Model Context Protocol (MCP) by Anthropic and Agent-to-Agent (A2A) communication protocol by Google have been introduced, and to the best of o…

Feature Engineering for Wireless Communications and Networking: Concepts, Methodologies, and Applications
Jiacheng Wang, Changyuan Zhao, Zehui Xiong, Tao Xiang, Dusit Niyato, Xianbin Wang, Shiwen Mao, Dong In Kim
https://arxiv.org/abs/2507.19837

Feature Engineering for Wireless Communications and Networking: Concepts, Methodologies, and Applications
AI-enabled wireless communications have attracted tremendous research interest in recent years, particularly with the rise of novel paradigms such as low-altitude integrated sensing and communication (ISAC) networks. Within these systems, feature engineering plays a pivotal role by transforming raw wireless data into structured representations suitable for AI models. Hence, this paper offers a comprehensive investigation of feature engineering techniques in AI-driven wireless communications. Sp…

Beamforming-based Achievable Rate Maximization in ISAC System for Multi-UAV Networking
Shengcai Zhou, Luping Xiang, Kun Yang, Kai Kit Wong, Dapeng Oliver Wu, Chan-Byoung Chae
https://arxiv.org/abs/2507.21895

Beamforming-based Achievable Rate Maximization in ISAC System for Multi-UAV Networking
Airborne mobile Integrated Sensing and Communication (ISAC) base stations have garnered significant attention recently, with ISAC technology being a crucial application for 6G networks. Since ISAC can sense potential mobile communication users, this paper studies an effective scheme for a multi-UAV network tailored for emergency communication. In this paper, we develop a temporal-assisted frame structure utilizing integrated omnidirectional and directional beampattern to facilitate efficient an…

Rethinking Multi-User Communication in Semantic Domain: Enhanced OMDMA by Shuffle-Based Orthogonalization and Diffusion Denoising
Maojun Zhang, Guangxu Zhu, Xiaoming Chen, Kaibin Huang, Zhaoyang Zhang
https://arxiv.org/abs/2507.20477

Rethinking Multi-User Communication in Semantic Domain: Enhanced OMDMA by Shuffle-Based Orthogonalization and Diffusion Denoising
Inter-user interference remains a critical bottleneck in wireless communication systems, particularly in the emerging paradigm of semantic communication (SemCom). Compared to traditional systems, inter-user interference in SemCom severely degrades key semantic information, often causing worse performance than Gaussian noise under the same power level. To address this challenge, inspired by the recently proposed concept of Orthogonal Model Division Multiple Access (OMDMA) that leverages semantic…

How about some recent, well, pretty unusual #astronomy papers? Like https://arxiv.org/abs/2507.02162 = Dangerous Questions in Astronomy Education or https://arxiv.org/abs/2508.19984 = Communicating astrobiology and the search for life elsewhere: speculations and promises of a developing scientific field in newspapers, press releases and papers ... or https://arxiv.org/abs/2508.04718 = Quantum panprotopsychism and a consciousness-centered universe

NoticeLight: Embracing Socio-Technical Asymmetry through Tangible Peripheral Robotic Embodiment in Hybrid Collaboration
Marie Altmann, Kimberly Hegemann, Ali Askari, Vineetha Rallabandi, Max Pascher, Jens Gerken
https://arxiv.org/abs/2506.22125

NoticeLight: Embracing Socio-Technical Asymmetry through Tangible Peripheral Robotic Embodiment in Hybrid Collaboration
Hybrid collaboration has become a fixture in modern workplaces, yet it introduces persistent socio-technical asymmetries-especially disadvantaging remote participants, who struggle with presence disparity, reduced visibility, and limited non-verbal communication. Traditional solutions often seek to erase these asymmetries, but recent research suggests embracing them as productive design constraints. In this context, we introduce NoticeLight: a tangible, peripheral robotic embodiment designed to…

The Performance of Low-Synchronization Variants of Reorthogonalized Block Classical Gram--Schmidt
Erin Carson, Yuxin Ma
https://arxiv.org/abs/2507.21791 https://

The Performance of Low-Synchronization Variants of Reorthogonalized Block Classical Gram--Schmidt
Numerous applications, such as Krylov subspace solvers, make extensive use of the block classical Gram-Schmidt (BCGS) algorithm and its reorthogonalized variants for orthogonalizing a set of vectors. For large-scale problems in distributed memory settings, the communication cost, particularly the global synchronization cost, is a major performance bottleneck. In recent years, many low-synchronization BCGS variants have been proposed in an effort to reduce the number of synchronization points. T…