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Grand Staircase-Escalante’s stunning slot canyons and dramatic vistas make it instantly recognizable.
Bears Ears’ red-rock canyons house culturally significant petroglyphs and ancient dwellings that have endured for centuries.
Right now they are facing unprecedented attacks–again.
Donald Trump just took executive action to virtually eliminate both of these iconic Utah national monuments,
slashing their boundaries by more than 90%.
Vital wildlife habitats,

‪@mxp@mastodon.acm.org‬
2026-07-16 22:58:25

@… “Ultimately, AI systems will shape the future of scholarly communication.” So, resistance is futile, all your papers will be assimilated?
None of the current AI systems are compatible with the principles formulated in the ACM Code. You talk about “responsible use” as if this was our problem, not the corporations’. THEY are responsible for the output generated b…

@mxp@mastodon.acm.org‬
2026-07-16 22:58:25

@… “Ultimately, AI systems will shape the future of scholarly communication.” So, resistance is futile, all your papers will be assimilated?
None of the current AI systems are compatible with the principles formulated in the ACM Code. You talk about “responsible use” as if this was our problem, not the corporations’. THEY are responsible for the output generated b…

@burger_jaap@mastodon.social
2026-07-13 15:34:59

It’s only called Batman if it’s coming from the specific region in France, otherwise it’s called solar
[☀️ generation in France on Saturday 11 July 2026, via the national grid operator’s éCO2mix app]

Solar generation curve with bites midday
@servelan@newsie.social
2026-09-18 00:36:32

"now that I’ve walked away from all that, and spent the last decade working to dismantle Trumpism root and branch, here’s my warning for anyone who cares about American democracy: The generation of young people coming up on the right are not your father’s conservatives. They are Trump’s heirs, and they are here to stay.""
GOP analyst sounds the alarm on Trump disciples' 'dark plans' for America: 'Here to stay' - Raw Story
rawstory.com/sarah-longwell-26

@arXiv_csHC_bot@mastoxiv.page
2026-08-12 08:52:01

Crosslisted article(s) found for cs.HC. arxiv.org/list/cs.HC/new
[1/2]:
- Data-driven Head Motion Generation through Natural Gaze-Head Coordination
Xiaohan Liu, Yilin Wen, Yusuke Sugano
arxiv.org/abs/2605.25810
- TRIBE: Predicting Team Performance via Communication Behavior Ensembles
Ali Jalal-Kamali, Nikolos Gurney, David V. Pynadath, Fred Morstatter
arxiv.org/abs/2608.06926 mastoxiv.page/@arXiv_csAI_bot/
- Comprendia: AI-Augmented Code Comprehension
Costain Nachuma, Minhaz F. Zibran
arxiv.org/abs/2608.10290 mastoxiv.page/@arXiv_csSE_bot/
- Neural implants and human safety: single-fault detection for DC-coupled recording front ends
Dimitris Antoniadis, Timothy Constandinou
arxiv.org/abs/2608.10361 mastoxiv.page/@arXiv_eessSP_bo
- A Neural Network Based Teleoperation for Remote Controlled Vehicles
Ning Ding, Azim Eskandarian
arxiv.org/abs/2608.10367 mastoxiv.page/@arXiv_csRO_bot/
- Leveraging Human Reading Behavior for Keyphrase Extraction: A Webcam-based Eye-tracking Corpus
Chengzhi Zhang, Xinyi Yan, Wenqi Yu
arxiv.org/abs/2608.10688 mastoxiv.page/@arXiv_csCL_bot/
- Your LLM, Your Style: Behavioral Mode Axes for LLM Behavioral Control
Haoze Liu, Run Liu, Haiying Xu, Jiahui Han, Siyuan Fang, Siyu Yan, Huiqi Deng, Guanchu Wang, Na Zou
arxiv.org/abs/2608.10703 mastoxiv.page/@arXiv_csLG_bot/
- The GENEA Challenge 2026: A Large-Scale Disentangled Evaluation of Speech-Driven Gesture Generati...
Nagy, Garc\'ia, Voss, Tsakov, Kucherenko, Yoon, Henter
arxiv.org/abs/2608.10839 mastoxiv.page/@arXiv_csCV_bot/
- Auditable AI-Assisted Research Writing: An Engineering Discipline with Pre-Registered Process Obs...
Yang Zhou, Chengqun Yu
arxiv.org/abs/2608.10858
- R4DSG: Relative 4D Scene Graph Memory for Object-Centric Question Answering in Long Egocentric Video
Ke Ma, Yamin Mao, Weiming Li, Shuai Tan, Yijie Zhong, Hao Chen, Haofen Wang, Meng Wang
arxiv.org/abs/2608.11017 mastoxiv.page/@arXiv_csCV_bot/
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@mlncn@social.coop
2026-08-31 15:28:18

i agree with some of the critiques aimed at Cory Doctorow on here, but he is a pretty effective communicator and the main thing he has been trying to communicate for like a year now is that every country in the world that is not the United States needs to ditch anti-circumvention laws immediately, to the benefit of basically everybody, and this one hits most of his high points (and generative "AI" not at all) plus it made me realize me why i instinctively skipped most of the popula…

@donelias@mastodon.cr
2026-07-21 01:53:58

Harto de ver al BancoBCR usando imšgenes generadas con IA para sus comunicaciones.
Es completamente incoherente que el Banco BCR mande comunicados y haga su publicidad con IA.
¿Qué pasó con los compromisos ambientales y de sostenibilidad? ¿Acaso no saben que las empresas de IA generativa contaminan el aire con combustibles fósiles y contaminan el agua? Hace pocos días recibí un boletín del banco presumiendo sus medidas para proteger el medio ambiente.
Ademšs, el mensaje que…

@arXiv_eessIV_bot@mastoxiv.page
2026-08-05 08:11:11

Predictive Enhancement Calibration for Latent Breast MRI Virtual Contrast Enhancement
Qin Lei, Hao Wu
arxiv.org/abs/2608.03612 arxiv.org/pdf/2608.03612 arxiv.org/html/2608.03612
arXiv:2608.03612v1 Announce Type: new
Abstract: Virtual contrast enhancement (VCE) synthesizes enhanced breast MR images from pre-contrast acquisitions. Modern latent generators offer strong image priors, but their bounded natural-image autoencoders conflict with the non-canonical intensity scale of MRI. We show that the upper bound can alter radiomic fidelity before generation, while scaling source and target independently creates a coordinate inconsistency. We propose Predictive Enhancement Calibration (PEC), which represents each pair in a shared, case-adaptive coordinate during training and predicts its unavailable upper endpoint from the pre-contrast image at inference. We integrate PEC with a pretrained FLUX latent flow transformer via parameter-efficient reference conditioning. Target round trips first isolate representation loss before generation; near-matched conditional models then compare PEC with fixed-wide and separate coordinates under comparable training budgets and backbone settings. On the fixed internal MAMA100 development cohort, PEC improves all eight point estimates in this source-only VCE setting, with paired evidence strongest for MSE and LPIPS.\noindent\textbf{Code:} github.com/tanlei0/pec-breast-
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