Tootfinder

@… https://darkforcesswing.substack.com/

Dark Forces Swing Blind Punches | Hank Shteamer | Substack
Hank Shteamer writes about music. Click to read Dark Forces Swing Blind Punches, by Hank Shteamer, a Substack publication with thousands of subscribers.

Researchers detail All-Topographic Neural Networks, claiming they better mimic human spatial biases and consume less energy than other machine vision networks (Matthew S. Smith/IEEE Spectrum)
https://spectrum.ieee.org/topographic-neural-network

Topographic Neural Networks Help AI See Like a Human
All-TNN networks mimic human vision and consume less energy than CNNs. Curious how they achieve this? Dive into the details.

An interview with Judd Legum about his Substack Popular Information, which has three reporting staff and 20K paying subs, with an estimated $1M annual revenue (Matt Smith/Press Gazette)
https://pressgazette.co.uk/newsletters/substack-ju…

Substacker Judd Legum on doing journalism that 'went out of fashion'
Popular Information has four staff and turns over around $1m per year.

Wie wichtig ist Deutschland eigentlich (Schul-)Bildung?
Berlin und Brandenburg: „Nein“
https://Pertsch.social/@Sebastian/115167492688001099

🦴 A new bone substitute made out of 3D-printed glass
#materials

A new bone substitute made out of 3D-printed glass
You might think that glass has no business acting as a replacement for bone, but it turns out the two materials have many similarities. For a new study published in ACS Nano, researchers developed a 3D printable bio-active glass that served as an effective bone replacement material. In rabbits, it sustained bone cell growth better than regular glass and a commercially available bone substitute.

The Fourier Spectral Transformer Networks For Efficient and Generalizable Nonlinear PDEs Prediction
Beibei Li
https://arxiv.org/abs/2507.05584 https://

The Fourier Spectral Transformer Networks For Efficient and Generalizable Nonlinear PDEs Prediction
In this work we propose a unified Fourier Spectral Transformer network that integrates the strengths of classical spectral methods and attention based neural architectures. By transforming the original PDEs into spectral ordinary differential equations, we use high precision numerical solvers to generate training data and use a Transformer network to model the evolution of the spectral coefficients. We demonstrate the effectiveness of our approach on the two dimensional incompressible Navier-St…

Evaluating Multiple Instance Learning Strategies for Automated Sebocyte Droplet Counting
Maryam Adelipour, Gustavo Carneiro, Jeongkwon Kim
https://arxiv.org/abs/2509.04895 https…

Evaluating Multiple Instance Learning Strategies for Automated Sebocyte Droplet Counting
Sebocytes are lipid-secreting cells whose differentiation is marked by the accumulation of intracellular lipid droplets, making their quantification a key readout in sebocyte biology. Manual counting is labor-intensive and subjective, motivating automated solutions. Here, we introduce a simple attention-based multiple instance learning (MIL) framework for sebocyte image analysis. Nile Red-stained sebocyte images were annotated into 14 classes according to droplet counts, expanded via data augme…

Spectral Tur\'{a}n problem for $\mathcal{{K}}_{3,3}^{-}$-free signed graphs
Mingsong Qin, Dan Li
https://arxiv.org/abs/2508.05500 https://arxiv.org/pdf…

Spectral Turán problem for $\mathcal{K}_{3,3}^{-}$-free signed graphs
The classical spectral Turán problem is to determine the maximum spectral radius of an $\mathcal{F}$-free graph of order $n$. Zhai and Wang [Linear Algebra Appl, 437 (2012) 1641-1647] determined the maximum spectral radius of ${C}_{4}$-free graphs of given order. Additionally, Nikiforov obtained spectral strengthenings of the Kővari-Sós-Turán theorem [Linear Algebra Appl, 432 (2010) 1405-1411] when the forbidden graphs are complete bipartite. The spectral Turán problem concerning forbidden…

@… https://collectedephemera.substack.com

Collected Ephemera | Jay Hinman | Substack
A deep dive into the paper, magazines and marginal collectables I've accumulated over the years, especially 60s & 70s political rabble-rousing, underground music, smut, hippy/biker stuff, postcards and much else. Click to read Collected Ephemera, by Jay Hinman, a Substack publication. Launched 2 hours ago.

RamPINN: Recovering Raman Spectra From Coherent Anti-Stokes Spectra Using Embedded Physics
Sai Karthikeya Vemuri, Adithya Ashok Chalain Valapil, Tim B\"uchner, Joachim Denzler
https://arxiv.org/abs/2510.06020

RamPINN: Recovering Raman Spectra From Coherent Anti-Stokes Spectra Using Embedded Physics
Transferring the recent advancements in deep learning into scientific disciplines is hindered by the lack of the required large-scale datasets for training. We argue that in these knowledge-rich domains, the established body of scientific theory provides reliable inductive biases in the form of governing physical laws. We address the ill-posed inverse problem of recovering Raman spectra from noisy Coherent Anti-Stokes Raman Scattering (CARS) measurements, as the true Raman signal here is suppre…