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#Minnesota Pubic Radio (MPR) parent company cuts 30 jobs following federal funding cuts | MPR News (h/t akuzee@bsky.social)
https://www.mprnews.org/story/2025/08/15/m

MPR parent company cuts 30 jobs following federal funding cuts
Minnesota Public Radio's parent company laid off 30 staff members Friday after Congress clawed back funding that it had previously approved for public broadcasting. Cuts in state funding from the Minnesota Legislature exacerbated the budget gap.

Decentralized messaging protocol XMTP developer Ephemera raised a $20M Series B at a $300M equity and $750M network valuation, following a $20M Series A in 2021 (Yogita Khatri/The Block)
https://www.theblock.co/post/363026/ephemera-xmtp-fu…

Unify, which offers AI-powered tools to boost revenue pipelines, raised a $40M Series B led by Battery Ventures, valuing it at $260M, following a $12M Series A (Alex Konrad/Upstarts Media)
https://www.upstartsmedia.com/p/unify-ai-gtm-pipeline-40-million-raise

Unify, AI Startup Boosting Sales At Cursor And Perplexity, Raises $40 Million
Unify's Series B funding round values it at $260 million as revenue grows 17% month over month past $5 million. But a clash with GTM darling Clay may be coming up.

PBS leaders meet in Amarillo to discuss future funding following federal funding cuts : Amarillo Tribune https://amarillotribune.org/2025/08/06/pbs-leaders-meet-in-amarillo-to-discuss-future-funding-following-federal-fun…

PBS leaders meet in Amarillo to discuss future funding following federal funding cuts
Leaders from all 10 Texas Public Broadcasting Stations from across the state met at Amarillo College on Wednesday as Panhandle PBS began its annual two-day meeting, which will run through Thursday.

Embodied Navigation Foundation Model
Jiazhao Zhang, Anqi Li, Yunpeng Qi, Minghan Li, Jiahang Liu, Shaoan Wang, Haoran Liu, Gengze Zhou, Yuze Wu, Xingxing Li, Yuxin Fan, Wenjun Li, Zhibo Chen, Fei Gao, Qi Wu, Zhizheng Zhang, He Wang
https://arxiv.org/abs/2509.12129

Embodied Navigation Foundation Model
Navigation is a fundamental capability in embodied AI, representing the intelligence required to perceive and interact within physical environments following language instructions. Despite significant progress in large Vision-Language Models (VLMs), which exhibit remarkable zero-shot performance on general vision-language tasks, their generalization ability in embodied navigation remains largely confined to narrow task settings and embodiment-specific architectures. In this work, we introduce a…

MAUI: Reconstructing Private Client Data in Federated Transfer Learning
Ahaan Dabholkar, Atul Sharma, Z. Berkay Celik, Saurabh Bagchi
https://arxiv.org/abs/2509.11451 https://…

MAUI: Reconstructing Private Client Data in Federated Transfer Learning
Recent works in federated learning (FL) have shown the utility of leveraging transfer learning for balancing the benefits of FL and centralized learning. In this setting, federated training happens after a stable point has been reached through conventional training. Global model weights are first centrally pretrained by the server on a public dataset following which only the last few linear layers (the classification head) of the model are finetuned across clients. In this scenario, existing da…

TESS Subgiant and Lower Red Giant Asteroseismology in the Continuous Viewing Zones
Sophia Grusnis, Jamie Tayar, Diego Godoy-Rivera
https://arxiv.org/abs/2509.12513 https://

TESS Subgiant and Lower Red Giant Asteroseismology in the Continuous Viewing Zones
Asteroseismology, the study of stellar oscillations, and stellar modeling both offer profound insights into the fundamental properties and evolution of stars. With pySYD, a new open-source Python package, we were able to constrain the asteroseismic global parameters, $ν_{max}$ and $Δν$, for 82 solar-like oscillating subgiant and lower red giant stars, filling in the region between the Kepler dwarfs and giants. Using asteroseismic scaling relations, we were able to compute seismic masses, rad…

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White House Partners With PragerU to Make AI-Slopified Founding Fathers
John Adams says "facts do not care about our feelings" in one of the AI-generated videos in PragerU's series partnership with White House.

Tensor Invariant Data-Assisted Control and Dynamic Decomposition of Multibody Systems
Mostafa Eslami, Maryam Babazadeh
https://arxiv.org/abs/2509.11688 https://

Tensor Invariant Data-Assisted Control and Dynamic Decomposition of Multibody Systems
The control of robotic systems in complex, shared collaborative workspaces presents significant challenges in achieving robust performance and safety when learning from experienced or simulated data is employed in the pipeline. A primary bottleneck is the reliance on coordinate-dependent models, which leads to profound data inefficiency by failing to generalize physical interactions across different frames of reference. This forces learning algorithms to rediscover fundamental physical principl…

HCOMC: A Hierarchical Cooperative On-Ramp Merging Control Framework in Mixed Traffic Environment on Two-Lane Highways
Tianyi Wang, Yangyang Wang, Jie Pan, Junfeng Jiao, Christian Claudel
https://arxiv.org/abs/2507.11621

HCOMC: A Hierarchical Cooperative On-Ramp Merging Control Framework in Mixed Traffic Environment on Two-Lane Highways
Highway on-ramp merging areas are common bottlenecks to traffic congestion and accidents. Currently, a cooperative control strategy based on connected and automated vehicles (CAVs) is a fundamental solution to this problem. While CAVs are not fully widespread, it is necessary to propose a hierarchical cooperative on-ramp merging control (HCOMC) framework for heterogeneous traffic flow on two-lane highways to address this gap. This paper extends longitudinal car-following models based on the int…