Tootfinder

Just got my photos from Sunday's Ithaca 5 and 10 developed -- I'll be back to my usual posting schedule tomorrow; here's the Callum Coots who won the 5k in 15:28
#photo #photography #sports

Brain Tumor Detection Through Diverse CNN Architectures in IoT Healthcare Industries: Fast R-CNN, U-Net, Transfer Learning-Based CNN, and Fully Connected CNN
Mohsen Asghari Ilani, Yaser M. Banad
https://arxiv.org/abs/2509.05821

Brain Tumor Detection Through Diverse CNN Architectures in IoT Healthcare Industries: Fast R-CNN, U-Net, Transfer Learning-Based CNN, and Fully Connected CNN
Artificial intelligence (AI)-powered deep learning has advanced brain tumor diagnosis in Internet of Things (IoT)-healthcare systems, achieving high accuracy with large datasets. Brain health is critical to human life, and accurate diagnosis is essential for effective treatment. Magnetic Resonance Imaging (MRI) provides key data for brain tumor detection, serving as a major source of big data for AI-driven image classification. In this study, we classified glioma, meningioma, and pituitary tumo…

Partially paywalled but still lots of juicy data. “State of the software engineering job market in 2025”: https://newsletter.pragmaticengineer.com/p/state-of-the-tech-market-in-2025
From which:

State of the software engineering job market in 2025
A deepdive into today’s tech jobs market, with exclusive data on tech jobs, AI engineering, Big Tech recruitment, the growing importance of location, and more

going back to the hospital tomorrow orz why does it have to be during yama no hi!!!

Getting my new free bike tomorrow. I’m really looking forward to riding it around my town.
#Bicycle #Riding

Learning Segmentation from Radiology Reports
Pedro R. A. S. Bassi, Wenxuan Li, Jieneng Chen, Zheren Zhu, Tianyu Lin, Sergio Decherchi, Andrea Cavalli, Kang Wang, Yang Yang, Alan L. Yuille, Zongwei Zhou
https://arxiv.org/abs/2507.05582

Learning Segmentation from Radiology Reports
Tumor segmentation in CT scans is key for diagnosis, surgery, and prognosis, yet segmentation masks are scarce because their creation requires time and expertise. Public abdominal CT datasets have from dozens to a couple thousand tumor masks, but hospitals have hundreds of thousands of tumor CTs with radiology reports. Thus, leveraging reports to improve segmentation is key for scaling. In this paper, we propose a report-supervision loss (R-Super) that converts radiology reports into voxel-wise…

Variational Approach to the Snake Instability of a Bose-Einstein Condensate Soliton
Umut Tanyeri, Mehmet Atakan G\"urkan, Ahmet Kele\c{s}, Mehmet \"Ozgur Oktel
https://arxiv.org/abs/2507.04926

Variational Approach to the Snake Instability of a Bose-Einstein Condensate Soliton
Solitons are striking manifestations of nonlinearity, encountered in diverse physical systems such as water waves, nonlinear optics, and Bose-Einstein condensates (BECs). In BECs, dark solitons emerge as exact stationary solutions of the one-dimensional Gross-Pitaevskii equation. While they can be long-lived in elongated traps, their stability is compromised in higher dimensions due to the snake instability, which leads to the decay of the soliton into vortex structures among other excitations.…

What, exactly, are we celebrating tomorrow?
Our cutting off healthcare to the needy to enrich the greedy?
Our new concentration camps?
Our dying economy?
Our ditching due process?
Our corruption?
Our broken legislature?
Our corrupt SCOTUS?
Our ridiculous buffoon president?
#FourthOfJuly
-- Mrs Betty Bowers

UK emergency phone alert test tomorrow (Sunday) at 15:00. If you have a secret phone, you might want to turn it off.
https://www.bbc.co.uk/news/articles/c8e1n4d14kro

When is the emergency alert mobile phone test and what is it for?
The UK's emergency alert system will be tested for the second time on Sunday 7 September.

From Turing to Tomorrow: The UK's Approach to AI Regulation
Oliver Ritchie, Markus Anderljung, Tom Rachman
https://arxiv.org/abs/2507.03050 https://

From Turing to Tomorrow: The UK's Approach to AI Regulation
The UK has pursued a distinctive path in AI regulation: less cautious than the EU but more willing to address risks than the US, and has emerged as a global leader in coordinating AI safety efforts. Impressive developments from companies like London-based DeepMind began to spark concerns in the UK about catastrophic risks from around 2012, although regulatory discussion at the time focussed on bias and discrimination. By 2022, these discussions had evolved into a "pro-innovation" strategy, in w…