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@azonenberg@ioc.exchange
2025-12-24 05:49:03

STM32MP2 XC7K160T PCIe test board progress! 66 unrouted nets in the power supply, but I think it'll fit.
There's something for everybody in this board:
* 0201 passives? Check (under the SoC)
* Lots of FPGA? XC7K160T is decently sized
* Lots of CPU? Dual A35s, a M33, a M0 , and a M4
* High speed? PCIe gen2 and a SFP that is theoretically capable of 8 GT/s but I'm gonna try pushing the FPGA a bit and see if I can make it do 10Gbase-R with acceptable BER…

KiCAD layout view of a dense 4 layer board with multiple BGAs and a spaghetti of signal traces
3D render of the front side of the board, almost completely covered in components except for a small area around the PCIe traces in the southeast
3D render of the back side of the board showing a large number of passives and several smaller ICs
@UP8@mastodon.social
2026-01-24 17:03:01

Fruit of a sweet gum tree caught next to Cornell's McGraw tower: I can't get over how well Sony's top of the line 70-200mm lens feels in my hand and how easy it is to work the controls
#photo #photography

A brown spherical seed pod covered with numerous spikes is in focus 1/3 from the top and 1/3 from the right with a blurry McGraw tower in the background with a grey sky behind
@arXiv_csLG_bot@mastoxiv.page
2025-12-22 10:32:30

You Only Train Once: Differentiable Subset Selection for Omics Data
Daphn\'e Chopard, Jorge da Silva Gon\c{c}alves, Irene Cannistraci, Thomas M. Sutter, Julia E. Vogt
arxiv.org/abs/2512.17678 arxiv.org/pdf/2512.17678 arxiv.org/html/2512.17678
arXiv:2512.17678v1 Announce Type: new
Abstract: Selecting compact and informative gene subsets from single-cell transcriptomic data is essential for biomarker discovery, improving interpretability, and cost-effective profiling. However, most existing feature selection approaches either operate as multi-stage pipelines or rely on post hoc feature attribution, making selection and prediction weakly coupled. In this work, we present YOTO (you only train once), an end-to-end framework that jointly identifies discrete gene subsets and performs prediction within a single differentiable architecture. In our model, the prediction task directly guides which genes are selected, while the learned subsets, in turn, shape the predictive representation. This closed feedback loop enables the model to iteratively refine both what it selects and how it predicts during training. Unlike existing approaches, YOTO enforces sparsity so that only the selected genes contribute to inference, eliminating the need to train additional downstream classifiers. Through a multi-task learning design, the model learns shared representations across related objectives, allowing partially labeled datasets to inform one another, and discovering gene subsets that generalize across tasks without additional training steps. We evaluate YOTO on two representative single-cell RNA-seq datasets, showing that it consistently outperforms state-of-the-art baselines. These results demonstrate that sparse, end-to-end, multi-task gene subset selection improves predictive performance and yields compact and meaningful gene subsets, advancing biomarker discovery and single-cell analysis.
toXiv_bot_toot

@Techmeme@techhub.social
2026-01-15 12:01:29

Sources: the US cyberattack that plunged Caracas into darkness during the Maduro mission shows its offensive capabilities; Senators plan to question officials (New York Times)
nytimes.com/2026/01/15/us/poli

@metacurity@infosec.exchange
2026-01-17 14:54:42

Happy Saturday morning! Each week, Metacurity offers our free and paid subscribers a run-down of the top infosec-related long reads we couldn't get to in the daily crush of news.
This week's selection includes pieces that touch on
--Estonia served as the first target of Russian cyberattacks,
--Inside a sprawling scam compound in Myanmar,
--How to protest safely amid massive surveillance,
--Silicon Valley is now the tech handmaiden of US authoritarianism,…

@digitalnaiv@mastodon.social
2025-11-18 15:58:01

„Chefredakteure heißen Algorithmus, Währung ist die Verweildauer, Ethos: Alles egal, Hauptsache es klickt.“ Florian Harms beschreibt die digitale Realität: Zwischen Infohäppchen flackern Enthauptungsszenen, Hassbotschaften und Lügen. So wird gesellschaftlicher Frieden bedroht wie nie.
#Gesellschaft #Algorithmus

@carloshr@lile.cl
2025-11-03 16:34:22

En otras noticias futbolísticas, El Campanil ganó la liga de ascenso del fútbol chileno, por lo que vuelven a primera el próximo año. 🥳
m.cooperativa.cl/noticias/depo

@mlawton@mstdn.social
2026-01-17 15:55:30

Special shout out to Kerkez, whose only wrong step was the yellow card (which i thought pretty harsh). He’s been really good, patient instead of flinging crosses to nobody. But when he has made the cross, it’s been dangerous.
Ekitike is a star. What an absolute gem he is. Even in the play where his diagonal run was covered, his continuing possession pulls two players out of position. ❤️
Wirtz, goal a beauty, but his passing has been superb. Sees angles before they happen.
S…

@metacurity@infosec.exchange
2026-01-15 12:19:23

Again, it's reprehensible that none of the press reports on the power outage in Venezuela even bother to mention that we bombed the sh*t out of two substations. I feel like I'm going crazy.
nytimes.com/2…

@metacurity@infosec.exchange
2025-11-05 11:23:33

I am super impressed with how Ohio newspapers and Ohio journalists in general report on cyber incidents. They've got game.
Cyberattack that crippled Middletown's systems shows how hackers target smaller cities
cinci…