@Techmeme@techhub.socialPangram Labs: ~21% of the 75,800 peer reviews submitted for ICLR 2026, a major ML conference, were fully AI-generated, and 50% contained signs of AI use (Miryam Naddaf/Nature)
https://www.nature.com/articles/d41586-025-03506-6
@grumpybozo@toad.socialI so hope this blows up in his face spectacularly.
Note that I do not believe that any LLM can become as skilled as the least skilled #InfoSec professional using conventional tools, so I’m quite confident this will not reach any useful goal.
I’m saying he needs to learn a lesson, and it would be great if it were useful for others as well. @…
@EarthOrgUK@mastodon.energySPAM's Carbon Footprint @Home (2017) - The carbon cost of fending off SPAM (and other networked malice) at home... - https://m.earth.org.uk/SPAM-and-CO2.html
@pixelcode@social.tchncs.deRE: #Merz during visit in
@Xavier@infosec.exchangeI'm installing and tweaking #Immich, a really neat "Google Photos" like app that runs locally. It uses ML to do face detection and other neat features. I've been tuning my server and needed a better way to measure performance, so I vibe wrote a helper script. If you run Immich, this might be useful to you:
@EarthOrgUK@mastodon.energyOn 16WW Data Collections and Graphs - Open for research home #dataset - https://m.earth.org.uk/note-on-data.html
@adulau@infosec.exchange
@thijs_lucas@norden.socialWarum meine Großmutter zurück in die Stadt zog und ich mein Nest nicht auf dem Land bauen will: kurze Wege und mehr Menschen heißt auch leichter sozialer Kontakt.
https://loma.ml/display/373ebf56-c2de9553-e191b82d366f91de
Ich finde die Initiative vom Land SH dennoc…
@mpsgoettingen@academiccloud.socialÜbermorgen bei unseren Nachbarn:
#UniGöttingen
@bano@mastodon.mlТам вышла 4я часть иски по финалке
Сначала думал, что опять Ютуб древние архивы поднял, а потом увидел время публикации... Я поражен до глубины души
https://youtu.be/X2SDwyldfzU
@Techmeme@techhub.socialModel ML, which aims to use AI agents to automate grunt work done by investment bankers like making pitch decks, raised $75M, after raising $12M earlier in 2025 (Aisha S Gani/Bloomberg)
https://www.bloomberg.com/news/articles/20
@midtsveen@social.linux.pizzaAnother ML(#MarxismLeninism) blocked me when I posted this: https://social.linux.pizza/@midtsveen/115581081054226799
Love it or hate it, we can disagree on topics …
@seav@en.osm.town
@datascience@genomic.socialUse multi level models with {parsnip}: http://multilevelmod.tidymodels.org/ #rstats #ML
@tarah@infosec.exchangeBelieve it or not, I've never actually submitted an academic paper for peer-reviewed publication before, and I'm a lil nail-bitey.
Is there anyone here who's active in ACL (the Association for Computational Linguistics) who wants to swap papers with me for a deep critique of methods/code/conclusions? I have a fun classic ML model that will entertain you, I swear.
@cosmos4u@scicomm.xyzFirst the nucleus of #comet SWAN split - https://skyweek.wordpress.com/2025/11/02/allgemeines-live-blog-ab-dem-2-november-2025/#Nov06 ("Der Kern des Kometen C/2025 R2 (SWAN) ist zerbrochen ...") - and now C/2025 K1 (ATLAS) has suffered the same fate: a 2-meter-telescope image from https://www.astronomerstelegram.org/?read=17487 ("Multiple Fragmentation Observed"), also https://groups.io/g/comets-ml/topic/116216567 (several amateur observations) and https://www.astronomerstelegram.org/?read=17488 (Hubble detections of more fragments, sadly no pictures included).
@cellfourteen@social.petertoushkov.euI can't hide that AMD cosplaying as Nvidia was a nasty surprise to me. But I am just a lowly gamer. Mad respect to the Linux hackers for knowing that corporations are not their friends, and - respectfully to AMD - bringing the goods only to Linux 🙂 ->
Modder gets FSR Redstone ML-powered Frame Generation running on RDNA 3 GPUs - VideoCardz.com
@arXiv_statML_bot@mastoxiv.pageReplaced article(s) found for stat.ML. https://arxiv.org/list/stat.ML/new
[1/1]:
- Provably Scalable Black-Box Variational Inference with Structured Variational Families
Joohwan Ko, Kyurae Kim, Woo Chang Kim, Jacob R. Gardner
@MolemanPeter@neuromatch.socialThe totality of the evidence supports the thesis that displacement of long-established dietary patterns by ultra-processed foods is a key driver of the escalating global burden of multiple diet-related chronic diseases.
Monteiro CA, Louzada ML, Steele-Martinez E, Cannon G, Andrade GC, Baker P, et al. (2025): Ultra-processed foods and human health: the main thesis and the evidence. The Lancet 0. DOI: 10.1016/S0140-6736(25)01565-X
@mia@hcommons.socialEthical Considerations Around Machine Learning-Engaged Online Participatory Research - poster from Zooniverse community at #FF2025 https://zenodo.org/records/17779992
@usul@piaille.frTwo Years of Building AI in Firefox | Tarek Ziadé
https://blog.ziade.org/2025/12/05/two-years-of-ai-at-mozilla/?trk=feed_main-feed-card_feed-article-content
@tante@tldr.nettime.orgRE: https://mastodon.social/@firefoxwebdevs/115849251057488746
A Killswitch should of course kill all ML/AI functionality and people could then reactivate certain specific features of they want to, it's really not that hard. Just cause you consi…
@schtobia@augsburg.social
@kexpmusicbot@mastodonapp.uk
@aral@mastodon.ar.alWhat’s disgusting is speaking to a Palestinian person in Gaza this way.
Maybe Mastodon server admins should check for basic humanity before allowing people on. Unless that’s not a necessary prerequisite for membership in your community, of course. https://lemmy.ca/comment/20336687
@arXiv_csLG_bot@mastoxiv.pageCrosslisted article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[2/3]:
- Sharp Structure-Agnostic Lower Bounds for General Functional Estimation
Jikai Jin, Vasilis Syrgkanis
https://arxiv.org/abs/2512.17341 https://mastoxiv.page/@arXiv_statML_bot/115762312049963700
- Timely Information Updating for Mobile Devices Without and With ML Advice
Yu-Pin Hsu, Yi-Hsuan Tseng
https://arxiv.org/abs/2512.17381 https://mastoxiv.page/@arXiv_csNI_bot/115762180316858485
- SWE-Bench : A Framework for the Scalable Generation of Software Engineering Benchmarks from Open...
Wang, Ramalho, Celestino, Pham, Liu, Sinha, Portillo, Osunwa, Maduekwe
https://arxiv.org/abs/2512.17419 https://mastoxiv.page/@arXiv_csSE_bot/115762487015279852
- Perfect reconstruction of sparse signals using nonconvexity control and one-step RSB message passing
Xiaosi Gu, Ayaka Sakata, Tomoyuki Obuchi
https://arxiv.org/abs/2512.17426 https://mastoxiv.page/@arXiv_statML_bot/115762346108219997
- MULTIAQUA: A multimodal maritime dataset and robust training strategies for multimodal semantic s...
Jon Muhovi\v{c}, Janez Per\v{s}
https://arxiv.org/abs/2512.17450 https://mastoxiv.page/@arXiv_csCV_bot/115762717053353674
- When Data Quality Issues Collide: A Large-Scale Empirical Study of Co-Occurring Data Quality Issu...
Emmanuel Charleson Dapaah, Jens Grabowski
https://arxiv.org/abs/2512.17460 https://mastoxiv.page/@arXiv_csSE_bot/115762500123147574
- Behavioural Effects of Agentic Messaging: A Case Study on a Financial Service Application
Olivier Jeunen, Schaun Wheeler
https://arxiv.org/abs/2512.17462 https://mastoxiv.page/@arXiv_csIR_bot/115762430673347625
- Linear Attention for Joint Power Optimization and User-Centric Clustering in Cell-Free Networks
Irched Chafaa, Giacomo Bacci, Luca Sanguinetti
https://arxiv.org/abs/2512.17466 https://mastoxiv.page/@arXiv_eessSY_bot/115762336277179643
- Translating the Rashomon Effect to Sequential Decision-Making Tasks
Dennis Gross, J{\o}rn Eirik Betten, Helge Spieker
https://arxiv.org/abs/2512.17470 https://mastoxiv.page/@arXiv_csAI_bot/115762556506696539
- Alternating Direction Method of Multipliers for Nonlinear Matrix Decompositions
Atharva Awari, Nicolas Gillis, Arnaud Vandaele
https://arxiv.org/abs/2512.17473 https://mastoxiv.page/@arXiv_eessSP_bot/115762580078964235
- TwinSegNet: A Digital Twin-Enabled Federated Learning Framework for Brain Tumor Analysis
Almustapha A. Wakili, Adamu Hussaini, Abubakar A. Musa, Woosub Jung, Wei Yu
https://arxiv.org/abs/2512.17488 https://mastoxiv.page/@arXiv_csCV_bot/115762726884307901
- Resource-efficient medical image classification for edge devices
Mahsa Lavaei, Zahra Abadi, Salar Beigzad, Alireza Maleki
https://arxiv.org/abs/2512.17515 https://mastoxiv.page/@arXiv_eessIV_bot/115762459510336799
- PathBench-MIL: A Comprehensive AutoML and Benchmarking Framework for Multiple Instance Learning i...
Brussee, Valkema, Weijer, Doeleman, Schrader, Kers
https://arxiv.org/abs/2512.17517 https://mastoxiv.page/@arXiv_csCV_bot/115762741957639051
- HydroGym: A Reinforcement Learning Platform for Fluid Dynamics
Christian Lagemann, et al.
https://arxiv.org/abs/2512.17534 https://mastoxiv.page/@arXiv_physicsfludyn_bot/115762391350754768
- 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
https://arxiv.org/abs/2512.17562 https://mastoxiv.page/@arXiv_csSD_bot/115762423443170715
- Enabling Disaggregated Multi-Stage MLLM Inference via GPU-Internal Scheduling and Resource Sharing
Lingxiao Zhao, Haoran Zhou, Yuezhi Che, Dazhao Cheng
https://arxiv.org/abs/2512.17574 https://mastoxiv.page/@arXiv_csDC_bot/115762425409322293
- SkinGenBench: Generative Model and Preprocessing Effects for Synthetic Dermoscopic Augmentation i...
N. A. Adarsh Pritam, Jeba Shiney O, Sanyam Jain
https://arxiv.org/abs/2512.17585 https://mastoxiv.page/@arXiv_eessIV_bot/115762479150695610
- 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
https://arxiv.org/abs/2512.17594 https://mastoxiv.page/@arXiv_csCR_bot/115762509298207765
- Confidence-Credibility Aware Weighted Ensembles of Small LLMs Outperform Large LLMs in Emotion De...
Menna Elgabry, Ali Hamdi
https://arxiv.org/abs/2512.17630 https://mastoxiv.page/@arXiv_csCL_bot/115762575512981257
- Generative Multi-Objective Bayesian Optimization with Scalable Batch Evaluations for Sample-Effic...
Madhav R. Muthyala, Farshud Sorourifar, Tianhong Tan, You Peng, Joel A. Paulson
https://arxiv.org/abs/2512.17659 https://mastoxiv.page/@arXiv_statML_bot/115762554519447500
toXiv_bot_toot
@EarthOrgUK@mastodon.energyLED Lighting: Mini Reviews - Real-world testing! - https://m.earth.org.uk/LED-lighting.html
@ErikJonker@mastodon.social @arXiv_statML_bot@mastoxiv.pageCrosslisted article(s) found for stat.ML. https://arxiv.org/list/stat.ML/new
[1/1]:
- Group Averaging for Physics Applications: Accuracy Improvements at Zero Training Cost
Valentino F. Foit, David W. Hogg, Soledad Villar
@Techmeme@techhub.socialSoumith Chintala, who co-created the PyTorch ML framework at Meta and left the company this month, has joined Mira Murati's Thinking Machines Lab (Pranav Dixit/Business Insider)
https://www.businessinsider.com/meta-soumith-chinta…
@frankel@mastodon.top#Kubernetes 1.35 Released with In-Place Pod Resize and AI-Optimized Scheduling
https://www.infoq.com/news/2025/12/kubernetes-1-35/
@datascience@genomic.socialThe {purrr} package is a powerfull way to replace loops. The {furrr} package takes this approach one step further by parallel execution: #rstats
@UP8@mastodon.social @arXiv_statML_bot@mastoxiv.pageReplaced article(s) found for stat.ML. https://arxiv.org/list/stat.ML/new
[2/2]:
- Differentiable, Bit-shifting, and Scalable Quantization without training neural network from scratch
Zia Badar
@EarthOrgUK@mastodon.energyOn 16WW Data Collections and Graphs - Open for research home #dataset - https://m.earth.org.uk/note-on-data.html
@mia@hcommons.socialLightning talks include IIIF's AI/ML working group presented by the excellent Martin Kalfatovic https://www.conftool.org/fantastic-futures-2025/index.php?page=browseSessions&ismobile=true&form_session=26
@cosmos4u@scicomm.xyzThe new #Kreutz #comet discovered unusually early has been named C/2026 A1 (MAPS): #photosphere on 4 April and becoming a bright comet.
@mgorny@social.treehouse.systems> Concretely, we expect to add ML-KEM and ML-DSA APIs that are only available with #LibreSSL/#BoringSSL/AWS-LC, and not with #OpenSSL.
(from #Cryptography and #Qt simultaneously, right? (Qt rejected LibreSSL support.)
#Python
@arXiv_statML_bot@mastoxiv.pageReplaced article(s) found for stat.ML. https://arxiv.org/list/stat.ML/new
[1/2]:
- Dataset-Free Weight-Initialization on Restricted Boltzmann Machine
Muneki Yasuda, Ryosuke Maeno, Chako Takahashi
@EarthOrgUK@mastodon.energyOn 16WW Data Collections and Graphs - Open for research #dataset - https://m.earth.org.uk/note-on-data.html
@kexpmusicbot@mastodonapp.uk🇺🇦 #NowPlaying on KEXP's #VarietyMix
Molina feat. ML Buch:
🎵 Organs
#Molina #MLBuch
https://corpusmolina.bandcamp.com/track/organs-feat-ml-buch
https://open.spotify.com/track/3XrEOFbHz26fgR8UTmPxmP
@arXiv_statML_bot@mastoxiv.pageCrosslisted article(s) found for stat.ML. https://arxiv.org/list/stat.ML/new
[1/1]:
- A metrological framework for uncertainty evaluation in machine learning classification models
Samuel Bilson, Maurice Cox, Anna Pustogvar, Andrew Thompson
@Techmeme@techhub.socialAWS implemented a 15% price hike for EC2 Capacity Blocks for ML on January 3; Amazon says it "reflects the supply/demand patterns we expect this quarter" (Corey Quinn/The Register)
https://www.theregister.com/2026/01/05/aws_price_increase/
@EarthOrgUK@mastodon.energyLED Lighting: Mini Reviews - Real-world testing! - https://m.earth.org.uk/LED-lighting.html
@cosmos4u@scicomm.xyzThe new #Kreutz #comet is now C/2026 A1 (MAPS): http://www.cbat.eps.harvard.edu/iau/cbet/005600/CBET005658.txt and #perihelion is highly uncertain but there is hope as https://www.facebook.com/groups/227002358661288/posts/1670699484291561 and https://groups.io/g/comets-ml/topic/117373975#msg34667 explain. And if MAPS makes it to perihelion and is (very) bright then coronagraphs on the ground might be able to catch it against the inner corona as the following table - calculated with https://ssd.jpl.nasa.gov/horizons/app.html#/ - shows.
@EarthOrgUK@mastodon.energyLED Lighting: Mini Reviews - Real-world testing! - https://m.earth.org.uk/LED-lighting.html
@EarthOrgUK@mastodon.energyLED Lighting: Mini Reviews - Real-world testing! - https://m.earth.org.uk/LED-lighting.html
@EarthOrgUK@mastodon.energyLED Lighting: Mini Reviews - Real-world testing! - https://m.earth.org.uk/LED-lighting.html
@arXiv_statML_bot@mastoxiv.page[2025-11-14 Fri (UTC), 6 new articles found for stat.ML Machine Learning]
toXiv_bot_toot
