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@Techmeme@techhub.social
2025-12-24 22:53:28

Disruptive CEO Alex Davis says Nvidia has agreed to buy assets from Groq for $20B in cash; leaked email: Jensen Huang says Nvidia is not acquiring Groq (David Faber/CNBC)
cnbc.com/2025/12/24/nvidia-buy

Exclusive: Nvidia buying AI chip startup Groq for about $20 billion in its largest acquisition on record
Nvidia is making its largest purchase ever, acquiring nine-year-old chip startup Groq for about $20 billion.

@ErikJonker@mastodon.social
2025-10-27 08:45:26

Interesting, The Cloud Sovereignty Framework defines the European Commission’s criteria, assurance levels (SEAL), and scoring methodology for assessing the sovereignty of cloud services across strategic, legal, operational, and technological dimensions.
#EU #SEAL

SEAL levels in EU sovereignty

Cloud Sovereignty Framework | European Commission

@davej@dice.camp
2025-11-27 01:59:40
Content warning: CW: auspol, environment

Very good news, indeed.
Also: “The agreement has sidelined Sussan Ley’s Coalition, who criticised the ‘dirty deal’ after Labor refused to accept its laundry list of business-friendly demands.”
This, of course, is a natural consequence of the #LNP doubling and tripling down on policies that handed them their arses at the polls, and then publicly throwing a tanty when they don’t get their way.

ApaulD (@ApaulD@aus.social)
Good news. Well done Greens. This is why you’re essential in government. #auspol #environment #law #politics https://www.theguardian.com/australia-news/2025/nov/27/labor-strikes-deal-with-greens-to-pass-long-awaited-overhaul-of-nature-protection-laws

@aardrian@toot.cafe
2025-12-16 16:44:33

Oh goody, a LinkedIn connection request with a message!
Let’s break this down:
> …vc backed…
Focused on quarterly profits / RoI instead of outcomes.
> …invite-only…
NDAs and other gag agreements.
> …openAI browser…
Chromium that begs authors for ARIA to parse content.
> …seeing promising results…
Which aren’t genuine results.
> …goal is 100% WCAG testing…
Ah, snake oil.
> …with high capture rates.
Sales…

Hey Adrian, We're a new vc backed accessibility company automating the testing process using invite-only openAI browser technology, and are seeing promising results. Our goal is 100% WCAG testing with high capture rates. Would love to tell you more if this sounds interesting!
@arXiv_astrophHE_bot@mastoxiv.page
2025-10-09 09:36:51

Diffuse continuum emission and large extended sources at MeV energies
Markus Ackermann, Denys Malyshev, Dmitry V. Malyshev
arxiv.org/abs/2510.07311

Diffuse continuum emission and large extended sources at MeV energies
Future gamma-ray survey instruments, such as newASTROGAM and AMEGO-X, will significantly improve previous and current all-sky surveys at MeV energies. In this paper we discuss the continuum emission from the Milky Way, two prominent large extended sources, the Fermi bubbles and Loop I, and the extragalactic gamma-ray background. We highlight the importance of measurements in the MeV to GeV energy range for understanding CR production and propagation in the Galaxy, for the determination of the n…

@davej@dice.camp
2025-12-20 01:55:34

I should steal junk food. Copy that.
Love the scare acronym, BTW. Y’know, I might consider taking this article seriously if they hadn't plastered it with inline clickbait ads encouraging me to wrap my doorknobs in tinfoil. #meeja #jermalisms

The Telegraph The 10 ultra-processed foods you should never buy again A new analysis has linked UPFs to harm in every major organ. Our experts tell us which ones to strike off the shopping list for good
A (presumably AI-generated) image of a hand reaching for a doorknob wrapped in tinfoil, from “LifeSorted 101”. The caption reads: “Wrap Aluminum Foil Around Your Doorknob When Alone (Here's Why)”.
@arXiv_csLG_bot@mastoxiv.page
2025-12-22 13:54:35

Replaced article(s) found for cs.LG. arxiv.org/list/cs.LG/new
[2/5]:
- The Diffusion Duality
Sahoo, Deschenaux, Gokaslan, Wang, Chiu, Kuleshov
arxiv.org/abs/2506.10892 mastoxiv.page/@arXiv_csLG_bot/
- Multimodal Representation Learning and Fusion
Jin, Ge, Xie, Luo, Song, Bi, Liang, Guan, Yeong, Song, Hao
arxiv.org/abs/2506.20494 mastoxiv.page/@arXiv_csLG_bot/
- The kernel of graph indices for vector search
Mariano Tepper, Ted Willke
arxiv.org/abs/2506.20584 mastoxiv.page/@arXiv_csLG_bot/
- OptScale: Probabilistic Optimality for Inference-time Scaling
Youkang Wang, Jian Wang, Rubing Chen, Xiao-Yong Wei
arxiv.org/abs/2506.22376 mastoxiv.page/@arXiv_csLG_bot/
- Boosting Revisited: Benchmarking and Advancing LP-Based Ensemble Methods
Fabian Akkerman, Julien Ferry, Christian Artigues, Emmanuel Hebrard, Thibaut Vidal
arxiv.org/abs/2507.18242 mastoxiv.page/@arXiv_csLG_bot/
- MolMark: Safeguarding Molecular Structures through Learnable Atom-Level Watermarking
Runwen Hu, Peilin Chen, Keyan Ding, Shiqi Wang
arxiv.org/abs/2508.17702 mastoxiv.page/@arXiv_csLG_bot/
- Dual-Distilled Heterogeneous Federated Learning with Adaptive Margins for Trainable Global Protot...
Fatema Siddika, Md Anwar Hossen, Wensheng Zhang, Anuj Sharma, Juan Pablo Mu\~noz, Ali Jannesari
arxiv.org/abs/2508.19009 mastoxiv.page/@arXiv_csLG_bot/
- STDiff: A State Transition Diffusion Framework for Time Series Imputation in Industrial Systems
Gary Simethy, Daniel Ortiz-Arroyo, Petar Durdevic
arxiv.org/abs/2508.19011 mastoxiv.page/@arXiv_csLG_bot/
- EEGDM: Learning EEG Representation with Latent Diffusion Model
Shaocong Wang, Tong Liu, Yihan Li, Ming Li, Kairui Wen, Pei Yang, Wenqi Ji, Minjing Yu, Yong-Jin Liu
arxiv.org/abs/2508.20705 mastoxiv.page/@arXiv_csLG_bot/
- Data-Free Continual Learning of Server Models in Model-Heterogeneous Cloud-Device Collaboration
Xiao Zhang, Zengzhe Chen, Yuan Yuan, Yifei Zou, Fuzhen Zhuang, Wenyu Jiao, Yuke Wang, Dongxiao Yu
arxiv.org/abs/2509.25977 mastoxiv.page/@arXiv_csLG_bot/
- Fine-Tuning Masked Diffusion for Provable Self-Correction
Jaeyeon Kim, Seunggeun Kim, Taekyun Lee, David Z. Pan, Hyeji Kim, Sham Kakade, Sitan Chen
arxiv.org/abs/2510.01384 mastoxiv.page/@arXiv_csLG_bot/
- A Generic Machine Learning Framework for Radio Frequency Fingerprinting
Alex Hiles, Bashar I. Ahmad
arxiv.org/abs/2510.09775 mastoxiv.page/@arXiv_csLG_bot/
- ASecond-Order SpikingSSM for Wearables
Kartikay Agrawal, Abhijeet Vikram, Vedant Sharma, Vaishnavi Nagabhushana, Ayon Borthakur
arxiv.org/abs/2510.14386 mastoxiv.page/@arXiv_csLG_bot/
- Utility-Diversity Aware Online Batch Selection for LLM Supervised Fine-tuning
Heming Zou, Yixiu Mao, Yun Qu, Qi Wang, Xiangyang Ji
arxiv.org/abs/2510.16882 mastoxiv.page/@arXiv_csLG_bot/
- Seeing Structural Failure Before it Happens: An Image-Based Physics-Informed Neural Network (PINN...
Omer Jauhar Khan, Sudais Khan, Hafeez Anwar, Shahzeb Khan, Shams Ul Arifeen
arxiv.org/abs/2510.23117 mastoxiv.page/@arXiv_csLG_bot/
- Training Deep Physics-Informed Kolmogorov-Arnold Networks
Spyros Rigas, Fotios Anagnostopoulos, Michalis Papachristou, Georgios Alexandridis
arxiv.org/abs/2510.23501 mastoxiv.page/@arXiv_csLG_bot/
- Semi-Supervised Preference Optimization with Limited Feedback
Seonggyun Lee, Sungjun Lim, Seojin Park, Soeun Cheon, Kyungwoo Song
arxiv.org/abs/2511.00040 mastoxiv.page/@arXiv_csLG_bot/
- Towards Causal Market Simulators
Dennis Thumm, Luis Ontaneda Mijares
arxiv.org/abs/2511.04469 mastoxiv.page/@arXiv_csLG_bot/
- Incremental Generation is Necessary and Sufficient for Universality in Flow-Based Modelling
Hossein Rouhvarzi, Anastasis Kratsios
arxiv.org/abs/2511.09902 mastoxiv.page/@arXiv_csLG_bot/
- Optimizing Mixture of Block Attention
Guangxuan Xiao, Junxian Guo, Kasra Mazaheri, Song Han
arxiv.org/abs/2511.11571 mastoxiv.page/@arXiv_csLG_bot/
- Assessing Automated Fact-Checking for Medical LLM Responses with Knowledge Graphs
Shasha Zhou, Mingyu Huang, Jack Cole, Charles Britton, Ming Yin, Jan Wolber, Ke Li
arxiv.org/abs/2511.12817 mastoxiv.page/@arXiv_csLG_bot/
toXiv_bot_toot