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In recent months, the federal government has relentlessly prosecuted protesters, government critics, immigrants and others arrested during immigration operations,
👉often accusing them of physically attacking officers or interfering with their duties.
⭐️But many of those cases have recently been dismissed or ended in not guilty verdicts.
In several high-profile cases, the prosecutions fell apart because they relied on statements by Department of Homeland Security (DHS) offic…

@bourgwick@heads.social
2026-02-20 14:55:53

based on highly unscientific observation over the past 6 weeks, the t***a dealership i regularly walk by in brooklyn has stopped selling c********ks, no longer on the showroom floor & none parked out back. mastodon.social/@arstechnica/1

@Techmeme@techhub.social
2026-01-21 15:20:55

AheadComputing, which develops a breakthrough RISC-V CPU architecture for AI, raised a $30M Seed2 led by Eclipse, Toyota, and Cambium, for $53M in total funding (Kyt Dotson/SiliconANGLE)
siliconangle.com/2026/01/21/ah

@Mediagazer@mstdn.social
2026-01-20 03:15:44

How Pakistan's government is increasingly using in absentia convictions and arrest warrants against Pakistani journalists living overseas, starting in late 2025 (Committee to Protect Journalists)
cpj.org/2026/01/harassed-at-ho

12 ordinary LA jurors say “No!” to ICE goons and federal prosecutors.
At least part of the constitution still lives and does its job:
the Sixth Amendment's right to a jury trial to decide criminal charges.
Jury acquits L.A. man who towed immigration agent’s car during TikTok influencer’s arrest
-- Susan E Seager

@arXiv_csLG_bot@mastoxiv.page
2025-12-22 10:32:50

Spatially-informed transformers: Injecting geostatistical covariance biases into self-attention for spatio-temporal forecasting
Yuri Calleo
arxiv.org/abs/2512.17696 arxiv.org/pdf/2512.17696 arxiv.org/html/2512.17696
arXiv:2512.17696v1 Announce Type: new
Abstract: The modeling of high-dimensional spatio-temporal processes presents a fundamental dichotomy between the probabilistic rigor of classical geostatistics and the flexible, high-capacity representations of deep learning. While Gaussian processes offer theoretical consistency and exact uncertainty quantification, their prohibitive computational scaling renders them impractical for massive sensor networks. Conversely, modern transformer architectures excel at sequence modeling but inherently lack a geometric inductive bias, treating spatial sensors as permutation-invariant tokens without a native understanding of distance. In this work, we propose a spatially-informed transformer, a hybrid architecture that injects a geostatistical inductive bias directly into the self-attention mechanism via a learnable covariance kernel. By formally decomposing the attention structure into a stationary physical prior and a non-stationary data-driven residual, we impose a soft topological constraint that favors spatially proximal interactions while retaining the capacity to model complex dynamics. We demonstrate the phenomenon of ``Deep Variography'', where the network successfully recovers the true spatial decay parameters of the underlying process end-to-end via backpropagation. Extensive experiments on synthetic Gaussian random fields and real-world traffic benchmarks confirm that our method outperforms state-of-the-art graph neural networks. Furthermore, rigorous statistical validation confirms that the proposed method delivers not only superior predictive accuracy but also well-calibrated probabilistic forecasts, effectively bridging the gap between physics-aware modeling and data-driven learning.
toXiv_bot_toot

@kctipton@mas.to
2025-12-19 02:49:15

DOJ vowed to punish those who disrupt Trump's immigration crackdown. Dozens of cases have crumbled
apnews.com/article/ice-immigra

@UP8@mastodon.social
2026-02-18 00:12:43

🦜 Interpol-backed police make nearly 200 arrests in Amazon region gold mining sweep
news.mongabay.com/short-articl

@Techmeme@techhub.social
2026-01-19 09:01:26

The memory shortage that is spiking RAM prices is now expanding to the broader PC market, driving price hikes for GPUs, high-capacity SSDs, and hard drives (Andrew Cunningham/Ars Technica)
arstechnica.com/gadgets/2026/0

The Commission of Fine Arts,
a panel whose members were all appointed last month by Donald Trump,
unanimously approved a plan for a 90,000-square-foot White House ballroom on Feb. 19,
clearing one of the hurdles on the controversial project.
The seven-member panel also includes former lead architect on the project -- James McCrery, who abstained from voting due to his role.
Trump took to Truth Social to celebrate the approval on the $400 million project, which is…