Tootfinder

I got talked into trying Meat Church “Holy Voodoo” seasoning today at Blackhawk Hardware by an employee and a customer. Both raved about it. I need a jalapeño enhanced rub to use with my smoked and sautéed veggies.
https://www.meatchurch.com/products/holy-voodoo-seasoning

Holy Voodoo Seasoning

Sunrise this morning.

MS-UMamba: An Improved Vision Mamba Unet for Fetal Abdominal Medical Image Segmentation
Caixu Xu, Junming Wei, Huizhen Chen, Pengchen Liang, Bocheng Liang, Ying Tan, Xintong Wei
https://arxiv.org/abs/2506.12441

MS-UMamba: An Improved Vision Mamba Unet for Fetal Abdominal Medical Image Segmentation
Recently, Mamba-based methods have become popular in medical image segmentation due to their lightweight design and long-range dependency modeling capabilities. However, current segmentation methods frequently encounter challenges in fetal ultrasound images, such as enclosed anatomical structures, blurred boundaries, and small anatomical structures. To address the need for balancing local feature extraction and global context modeling, we propose MS-UMamba, a novel hybrid convolutional-mamba mo…

Lutnick hails Trump's $5mn investor visa as almost 70,000 apply (Alex Rogers/Financial Times)
https://www.ft.com/content/468b885d-679d-4419-8d6b-2a7d708d6c6e?accessToken=zwAAAZd-CvHekc9Gi4hdZ51EGdONayp9cI1sbg.MEUCIQCzuykg1cHjFOk4EiP6LlNqyUg5JVALPrq1UO5XjBaEwwIgBEDwnfWMqUEtaUs316Xe93sskRqRditNsHgvy-Dvhmg&segmentId=e95a9ae7-622c-6235-5f87-51e412b47e97&shareType=enterprise&shareId=7ad3502c-b47e-4f8f-b3c2-9e8235eb7a5f
http://www.memeorandum.com/250617/p133#a250617p133

TACS-Graphs: Traversability-Aware Consistent Scene Graphs for Ground Robot Indoor Localization and Mapping
Jeewon Kim, Minho Oh, Hyun Myung
https://arxiv.org/abs/2506.14178

TACS-Graphs: Traversability-Aware Consistent Scene Graphs for Ground Robot Indoor Localization and Mapping
Scene graphs have emerged as a powerful tool for robots, providing a structured representation of spatial and semantic relationships for advanced task planning. Despite their potential, conventional 3D indoor scene graphs face critical limitations, particularly under- and over-segmentation of room layers in structurally complex environments. Under-segmentation misclassifies non-traversable areas as part of a room, often in open spaces, while over-segmentation fragments a single room into overla…

On a podcast, Sam Altman said Meta made "giant offers to a lot of people on our team", like $100M signing bonuses, and "none of our best people" have accepted (Maxwell Zeff/TechCrunch)
https://techcrunch.com/2025/06/17/sam-

Sam Altman says Meta tried and failed to poach OpenAI's talent with $100M offers | TechCrunch
OpenAI CEO Sam Altman said that Meta tried to poach its employees with nine-figure offers, but failed to recruit OpenAI's best people.

InceptionMamba: Efficient Multi-Stage Feature Enhancement with Selective State Space Model for Microscopic Medical Image Segmentation
Daniya Najiha Abdul Kareem, Abdul Hannan, Mubashir Noman, Jean Lahoud, Mustansar Fiaz, Hisham Cholakkal
https://arxiv.org/abs/2506.12208

InceptionMamba: Efficient Multi-Stage Feature Enhancement with Selective State Space Model for Microscopic Medical Image Segmentation
Accurate microscopic medical image segmentation plays a crucial role in diagnosing various cancerous cells and identifying tumors. Driven by advancements in deep learning, convolutional neural networks (CNNs) and transformer-based models have been extensively studied to enhance receptive fields and improve medical image segmentation task. However, they often struggle to capture complex cellular and tissue structures in challenging scenarios such as background clutter and object overlap. Moreove…

Milwaukee Peeps, please consider signing this…
“Say NO to Facial Recognition Technology in Milwaukee”
https://actionnetwork.org/petitions/say-no-to-facial-recognition-technology-in-milwaukee

3D Skin Segmentation Methods in Medical Imaging: A Comparison
Martina Paccini, Giuseppe Patan\`e
https://arxiv.org/abs/2506.11852 https://

3D Skin Segmentation Methods in Medical Imaging: A Comparison
Automatic segmentation of anatomical structures is critical in medical image analysis, aiding diagnostics and treatment planning. Skin segmentation plays a key role in registering and visualising multimodal imaging data. 3D skin segmentation enables applications in personalised medicine, surgical planning, and remote monitoring, offering realistic patient models for treatment simulation, procedural visualisation, and continuous condition tracking. This paper analyses and compares algorithmic an…

Congrats on the EU petition against conversion practices reaching 1M! 🎉 Impressive finish.
While we are signing EU petitions, this one on #airQuotas looks important/interesting, to limit flying: https://eci.ec.e…