Tootfinder

First time I've seen a MCU datasheet list the actual TSMC cell name of their PLL IP core.
I guess now we know STM32MP2 is 16FF lol.

ICE's use of full-body restraints during deportations raises concerns over inhumane treatment (Associated Press)
https://apnews.com/article/immigration-deportations-trump-administration-civil-rights-84309f534c601befa6e9faeae78bcff5
http://www.memeorandum.com/251014/p69#a251014p69

Byråkratiet, partipolitikken og de tradisjonelle fagforeningene er ikke bygd for kamp. De fungerer som serviceorganisasjoner underlagt staten og kapitalen, og undergraver dermed arbeiderklassens egen kampvilje.
Kampen for reell frigjŸring og selvstyre må derfor drives av arbeiderne selv gjennom direkte, solidariske aksjoner uten bindinger til politiske partier og formelle fredsplikter. Bare en fri og selvstyrt fagbevegelse kan utfordre de Ÿkonomiske elitene og skape et ekte arbeidsfol…

🇺🇦 #NowPlaying on BBCRadio3's #MusicPlanet
Alice Zawadzki:
🎵 Dezile A Mi Amor
#AliceZawadzki
https://open.spotify.com/track/7EkndElFicFW9PmrqByrYX

#ClevelandRocks
#OTD in 1973 For $6 At The Door with Mott The Hoople & #Aerosmith at the 2,000 capacity John Carroll Jesuit college gym . If I'm not mistaken, school alum and future

ProtoSiTex: Learning Semi-Interpretable Prototypes for Multi-label Text Classification
Utsav Kumar Nareti, Suraj Kumar, Soumya Pandey, Soumi Chattopadhyay, Chandranath Adak
https://arxiv.org/abs/2510.12534

ProtoSiTex: Learning Semi-Interpretable Prototypes for Multi-label Text Classification
The surge in user-generated reviews has amplified the need for interpretable models that can provide fine-grained insights. Existing prototype-based models offer intuitive explanations but typically operate at coarse granularity (sentence or document level) and fail to address the multi-label nature of real-world text classification. We propose ProtoSiTex, a semi-interpretable framework designed for fine-grained multi-label text classification. ProtoSiTex employs a dual-phase alternating traini…

An Entropy-Guided Curriculum Learning Strategy for Data-Efficient Acoustic Scene Classification under Domain Shift
Peihong Zhang, Yuxuan Liu, Zhixin Li, Rui Sang, Yiqiang Cai, Yizhou Tan, Shengchen Li
https://arxiv.org/abs/2509.11168

An Entropy-Guided Curriculum Learning Strategy for Data-Efficient Acoustic Scene Classification under Domain Shift
Acoustic Scene Classification (ASC) faces challenges in generalizing across recording devices, particularly when labeled data is limited. The DCASE 2024 Challenge Task 1 highlights this issue by requiring models to learn from small labeled subsets recorded on a few devices. These models need to then generalize to recordings from previously unseen devices under strict complexity constraints. While techniques such as data augmentation and the use of pre-trained models are well-established for imp…

Semi-interval Comparison Constraints in Query Containment and Their Impact on Certain Answer Computation
Foto N. Afrati, Matthew Damigos
https://arxiv.org/abs/2509.10138 https:/…

Semi-interval Comparison Constraints in Query Containment and Their Impact on Certain Answer Computation
We consider conjunctive queries with arithmetic comparisons (CQAC) and investigate the computational complexity of the problem: Given two CQAC queries, $Q$ and $Q'$, is $Q'$ contained in $Q$? We know that, for CQAC queries, the problem of testing containment is $Π_2 ^p$ -complete. However, there are broad classes of queries with semi-interval arithmetic comparisons in the containing query that render the problem solvable in NP. In all cases examined the contained query is allowed to be any CQA…

#AngieHarmon #GregAlanWilliams

Baywatch Nights 1x08 - Balancing Act
#RandomBaywatch

Great round up by Stalman of the photos/video capabilities of the new iPhones
https://www.youtube.com/watch?v=hwtXj-X82Lk&si=fxKfhvGjvj2AHMrJ