Tootfinder

Opt-in global Mastodon full text search. Join the index!

@Techmeme@techhub.social
2025-12-19 16:56:01

A Paris court rejects a French government request to suspend Shein in the country after finding illegal weapons and child-like sex dolls for sale on the site (Associated Press)
apnews.com/article/shein-fast-

@axbom@axbom.me
2026-01-19 10:10:17
“When we think of technology as a tool that can be used for good as well as evil, we also think that we are in control of why, when, and for what it is used. But this is only partly the case. We may decide to buy a car to drive ourselves to work. And thus we may think of the car as a tool to achieve our goal of getting to work as fast as possible. But we never made the decision that fast is better than slow. It’s an idea that comes with the car. So is the idea that it should be easy and conveni…
@arXiv_csLG_bot@mastoxiv.page
2025-12-22 11:50:31

Crosslisted article(s) found for cs.LG. arxiv.org/list/cs.LG/new
[2/3]:
- Sharp Structure-Agnostic Lower Bounds for General Functional Estimation
Jikai Jin, Vasilis Syrgkanis
arxiv.org/abs/2512.17341 mastoxiv.page/@arXiv_statML_bo
- Timely Information Updating for Mobile Devices Without and With ML Advice
Yu-Pin Hsu, Yi-Hsuan Tseng
arxiv.org/abs/2512.17381 mastoxiv.page/@arXiv_csNI_bot/
- SWE-Bench : A Framework for the Scalable Generation of Software Engineering Benchmarks from Open...
Wang, Ramalho, Celestino, Pham, Liu, Sinha, Portillo, Osunwa, Maduekwe
arxiv.org/abs/2512.17419 mastoxiv.page/@arXiv_csSE_bot/
- Perfect reconstruction of sparse signals using nonconvexity control and one-step RSB message passing
Xiaosi Gu, Ayaka Sakata, Tomoyuki Obuchi
arxiv.org/abs/2512.17426 mastoxiv.page/@arXiv_statML_bo
- MULTIAQUA: A multimodal maritime dataset and robust training strategies for multimodal semantic s...
Jon Muhovi\v{c}, Janez Per\v{s}
arxiv.org/abs/2512.17450 mastoxiv.page/@arXiv_csCV_bot/
- When Data Quality Issues Collide: A Large-Scale Empirical Study of Co-Occurring Data Quality Issu...
Emmanuel Charleson Dapaah, Jens Grabowski
arxiv.org/abs/2512.17460 mastoxiv.page/@arXiv_csSE_bot/
- Behavioural Effects of Agentic Messaging: A Case Study on a Financial Service Application
Olivier Jeunen, Schaun Wheeler
arxiv.org/abs/2512.17462 mastoxiv.page/@arXiv_csIR_bot/
- Linear Attention for Joint Power Optimization and User-Centric Clustering in Cell-Free Networks
Irched Chafaa, Giacomo Bacci, Luca Sanguinetti
arxiv.org/abs/2512.17466 mastoxiv.page/@arXiv_eessSY_bo
- Translating the Rashomon Effect to Sequential Decision-Making Tasks
Dennis Gross, J{\o}rn Eirik Betten, Helge Spieker
arxiv.org/abs/2512.17470 mastoxiv.page/@arXiv_csAI_bot/
- Alternating Direction Method of Multipliers for Nonlinear Matrix Decompositions
Atharva Awari, Nicolas Gillis, Arnaud Vandaele
arxiv.org/abs/2512.17473 mastoxiv.page/@arXiv_eessSP_bo
- TwinSegNet: A Digital Twin-Enabled Federated Learning Framework for Brain Tumor Analysis
Almustapha A. Wakili, Adamu Hussaini, Abubakar A. Musa, Woosub Jung, Wei Yu
arxiv.org/abs/2512.17488 mastoxiv.page/@arXiv_csCV_bot/
- Resource-efficient medical image classification for edge devices
Mahsa Lavaei, Zahra Abadi, Salar Beigzad, Alireza Maleki
arxiv.org/abs/2512.17515 mastoxiv.page/@arXiv_eessIV_bo
- PathBench-MIL: A Comprehensive AutoML and Benchmarking Framework for Multiple Instance Learning i...
Brussee, Valkema, Weijer, Doeleman, Schrader, Kers
arxiv.org/abs/2512.17517 mastoxiv.page/@arXiv_csCV_bot/
- HydroGym: A Reinforcement Learning Platform for Fluid Dynamics
Christian Lagemann, et al.
arxiv.org/abs/2512.17534 mastoxiv.page/@arXiv_physicsfl
- When De-noising Hurts: A Systematic Study of Speech Enhancement Effects on Modern Medical ASR Sys...
Chondhekar, Murukuri, Vasani, Goyal, Badami, Rana, SN, Pandia, Katiyar, Jagadeesh, Gulati
arxiv.org/abs/2512.17562 mastoxiv.page/@arXiv_csSD_bot/
- Enabling Disaggregated Multi-Stage MLLM Inference via GPU-Internal Scheduling and Resource Sharing
Lingxiao Zhao, Haoran Zhou, Yuezhi Che, Dazhao Cheng
arxiv.org/abs/2512.17574 mastoxiv.page/@arXiv_csDC_bot/
- SkinGenBench: Generative Model and Preprocessing Effects for Synthetic Dermoscopic Augmentation i...
N. A. Adarsh Pritam, Jeba Shiney O, Sanyam Jain
arxiv.org/abs/2512.17585 mastoxiv.page/@arXiv_eessIV_bo
- MAD-OOD: A Deep Learning Cluster-Driven Framework for an Out-of-Distribution Malware Detection an...
Tosin Ige, Christopher Kiekintveld, Aritran Piplai, Asif Rahman, Olukunle Kolade, Sasidhar Kunapuli
arxiv.org/abs/2512.17594 mastoxiv.page/@arXiv_csCR_bot/
- Confidence-Credibility Aware Weighted Ensembles of Small LLMs Outperform Large LLMs in Emotion De...
Menna Elgabry, Ali Hamdi
arxiv.org/abs/2512.17630 mastoxiv.page/@arXiv_csCL_bot/
- Generative Multi-Objective Bayesian Optimization with Scalable Batch Evaluations for Sample-Effic...
Madhav R. Muthyala, Farshud Sorourifar, Tianhong Tan, You Peng, Joel A. Paulson
arxiv.org/abs/2512.17659 mastoxiv.page/@arXiv_statML_bo
toXiv_bot_toot

@chris@mstdn.chrisalemany.ca
2025-11-06 17:49:35

Happy to see resolution for this case of anti-health, anti-vax, quackery and grifting.
I believe most farmers are ethical and understand that disease within their flocks and herds can and do cause disease in other domestic and wild populations and those diseases are often what causes pandemics in humans.
Avian flu is a danger. Millions of birds have died because of it, and have been culled on other farms to try to control it.
Ostriches are no different.
cbc.ca/news/canada/british-col

@seav@en.osm.town
2025-11-05 06:13:35
@ErikJonker@mastodon.social
2026-01-03 15:37:56

Trump is clear about democracy in Venezuela, he doesn't want that... It's all about power, oil and control.
FOX & FRIENDS: What do you think is next for the Venezuelan people now that you have removed Maduro so he can face American justice?
TRUMP: Well, we're making that decision now. We can't take a chance on letting somebody else run it, just take over where he left off. So we're making that decision

@PaulWermer@sfba.social
2025-12-02 16:50:50

From the article: "He added: “It’s something where it’s moving very quickly and people don’t necessarily have time to absorb it or figure out what to do.”"
That impersonal, natural "it" is moving - Not the people developing the models and selling them (or inflicting them), not the wealthy investors demanding market share, not the sci-fi addled techbros (Muskrats?) imagining that if only we get AGI all problems will be solved tomorrow, - all wanting to be first. Oh…

@paulwermer@sfba.social
2025-12-02 16:50:50

From the article: "He added: “It’s something where it’s moving very quickly and people don’t necessarily have time to absorb it or figure out what to do.”"
That impersonal, natural "it" is moving - Not the people developing the models and selling them (or inflicting them), not the wealthy investors demanding market share, not the sci-fi addled techbros (Muskrats?) imagining that if only we get AGI all problems will be solved tomorrow, - all wanting to be first. Oh…