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@aardrian@toot.cafe
2026-06-23 20:12:03

Reading an article shared by a reputable source about accessible scrollable tables and the article indicates words that relate to the code by using color-coded underlines that are not links and my brain broke before I saw all the encoded px and LTR-only styles and yeah fine whatever close tab sigh.

The supreme court has barred a former Louisiana inmate from suing prison officials who cut off his dreadlocks in violation of his Rastafari religious beliefs.
The justices condemned what happened to the former prisoner, Damon Landor.
But they ruledthat a federal law designed to protect the religious rights of prisoners does not permit lawsuits for money damages even when rights are violated.
The high court agreed with lower courts that without exception had ruled that the l…

@Techmeme@techhub.social
2026-05-18 21:30:44

Musk v. Altman: Elon Musk says the judge and jury "never actually ruled on the merits of the case, just on a calendar technicality" and he will file an appeal (Elon Musk/@elonmusk)
x.com/elonmusk/status/20564748

@BBC3MusicBot@mastodonapp.uk
2026-06-24 15:00:31

🔊 #NowPlaying on #BBCRadio3:
#ComposerOfTheWeek #COTW
- Henry Purcell (1659-1695)
Donald Macleod explores the changing role of Purcell within the royal household, and the music he wrote for the various monarchs who ruled during his lifetime.
Relisten now 👇
bbc.co.uk/programmes/m0024xc1

@arXiv_physicsfludyn_bot@mastoxiv.page
2026-05-19 08:22:29

Long-horizon prediction of three-dimensional wall-bounded turbulence with CTA-Swin-UNet and resolvent analysis
Bo Chen, Yitong Fan, Jie Yao, Weipeng Li
arxiv.org/abs/2605.17888 arxiv.org/pdf/2605.17888 arxiv.org/html/2605.17888
arXiv:2605.17888v1 Announce Type: new
Abstract: Long-horizon prediction of three-dimensional (3D) wall-bounded turbulence with machine-learning methods remains a challenging task, due to the rapid accumulation of autoregressive errors and the substantially computational cost. To address these challenges, we present a hybrid machine-learning framework, in which a channel-time-attention Swin-UNet (CTA-Swin-UNet) and a multi-time-scale fusion correction (MTFC) strategy are developed to predict the turbulent flow fields in a wall-parallel plane, with affordable computational cost. Then, 3D flow fields are reconstructed via a resolvent-based spectral linear stochastic estimation (SLSE), rooting from the predicted planar flow. Results show that the CTA-Swin-UNet outperforms the baseline models (LSTM, FNO and traditional Swin-UNet) in both single-step prediction and autoregressive rollouts, indicating the effectiveness of introducing the CTA module into the Swin-UNet architecture. At the same temporal interval, the CTA-Swin-UNet remains stable for approximately 150 rollout steps, while the baseline models fail within 20 to 50 rollout steps. After introducing the MTFC strategy, a longer horizon upto 300 steps is achieved. Using the resolvent-based SLSE reconstruction further recovers the 3D flow structures and energy spectral distributions from the predicted planar inputs, which demonstrates that the proposed framework provides an effective and computationally efficient approach for long-horizon autoregressive prediction of 3D wall-bounded turbulence.
toXiv_bot_toot

@memeorandum@universeodon.com
2026-06-15 21:55:39

Iran War Live Updates: U.S. and Iran Sign Preliminary Deal, but Its Terms Remain Secret (New York Times)
nytimes.com/live/2026/06/15/wo
memeorandum.com/260615/p101#a2

@mela@zusammenkunft.net
2026-05-16 20:00:05

Mela is listening to a podcast: Reality Deviants Book Club: Dark City – Mage - The Podcast – Mage: The Podcast - podcasts.apple.com/podcast/id1

@catsalad@infosec.exchange
2026-05-29 18:09:13

I should buy a boa– i mean, meow!

Three photos of an orange cat sitting like a human in a chair while their leg sticks forward as they look around. First two pictures show the kitty looking out the window then at the table in front of them, as if lost in thought, while the last photo show them looking at the camera as if they just snapped back to reality. Still the weird cat pose, though, because when you're a cat, any pose is a cat pose.
@Techmeme@techhub.social
2026-06-08 14:25:40

A study estimates the iPhone's diffusion explains 33%-52% of the decline in US births from 2007 to 2011, with the most pronounced effects among women aged 15-24 (Sabrina Tavernise/New York Times)
nytimes.com/2026/06/08/us/ipho

@memeorandum@universeodon.com
2026-06-11 19:55:49

Iran War Live Updates: Trump Retracts Latest Threats of More Strikes (New York Times)
nytimes.com/live/2026/06/11/wo
memeorandum.com/260611/p97#a26