2026-01-13 00:50:57
Trump says Microsoft will "ensure" Americans don't face higher bills due to data centers' power use and Big Tech must "pay their own way" for their data centers (Business Insider)
https://www.businessinsider.com/trump-micr
Trump says Microsoft will "ensure" Americans don't face higher bills due to data centers' power use and Big Tech must "pay their own way" for their data centers (Business Insider)
https://www.businessinsider.com/trump-micr
Blip is amazing: it's kinda AirDrop that works over the Internet & locally on iOS, macOS, Windows, and Android – Linux pending. Works with folders and data goes directly, no upload.
I've learned about it from MKBHD and I'm already sad how it'll inevitably go bad.
https://blip.net/
RE: https://hachyderm.io/@thomasfuchs/115883445350346364
I think the technology could be used responsibly for narrow use cases (e.g. writing code is a narrow use case), with the very important caveat that the training data needs to be properly licensed and authors properly compensated (unless they licensed stuff free for commercial use); as well as companies offering it being transparent and honest about what LLMs actually do.
Anyway, even if that’s the case (and that’s a big if and certainly not the case today) I have serious doubts concerning the long-term financial sustainability of companies like idk Anthropic.
"Satellites are now tracking big polluters around the world"
#Pollution #AirPollution
Cowboys Don't Chase Big Free Agents (5-Year Data) https://insidethestar.com/cowboys-dont-chase-big-free-agents-5-year-data
To house the hundreds or thousands of temporary workers needed to build an AI data center, developers are increasingly relying on temporary villages known as "man camps".
This style of camp was popularized as housing for men working in remote oil fields.
For example, as a Bitcoin mining facility in rural Dickens County, Texas is converted into a 1.6 gigawatt data center, Bloomberg reports its workers are living in gray housing units with access to a gym, a laundromat, g…
Google unveils WAXAL, a new open speech dataset for 21 African languages to ease speech technology development; African institutions own the dataset (Damilare Dosunmu/Rest of World)
https://restofworld.org/2026/google-waxal-african-languages-ai-sovereignty/…
Big Tech, business groups and the governor successfully gutted State Sen. Steve Padilla's attempt to protect consumers from the costs, emissions & unintended consequences of the AI data center frenzy. Big money wins again! https://
I would like to go on record to say that I don't hate LLMs. That would be like disowning maths.
I hate how people sell it with promises that are simply lies and urging people to use it for things that it is unsuitable for, with the commercial LLMs how they train models on stolen data, how users talk themselves into believing they're talking to a human or something human-like while deskilling themselves, how institutions and organizations shoehorn it into every fucking thing, the way it is usurping computing resources and increasing prices for personal computing, how the big companies underhandedly continuously threaten everyone with "if we don't invest enough the Terminators will get us" and how it is used for very obvious large-scale financial fraud. ¯\_(ツ)_/¯
A healthy (in body and mind),
active, frugal, sociable, mostly offline citizen
who is highly educated and informed, in full control of their data, avoiding Big Tech’s platforms and algorithms,
with a positive self-esteem and self-image,
is probably persona non grata for the tech billionaires.
But a small, insignificant nuisance, like a fly
– they don’t care about ONE.
But imagine having thousands,
then hundreds of thousands,
then millio…
“Big Tech’s AI hype is distracting users from the rapid and dangerous expansion of giant, energy and water-intensive data centres […].
There is simply no evidence that AI will help the climate more than it will harm it.
Rather than relying on credible and substantiated data, Big Tech companies are writing themselves a blank cheque to pollute on the empty promise of future salvation. We cannot bet the climate on these baseless claims.”
How independent of the US corporations is your website that you use or even operate?
«Replace US tech with European alternatives:
Your current stack sends EU data to US servers under US law. Find sovereign, GDPR-native replacements in seconds.»
🇪🇺 https://www.cloudinfraatlas.eu
By 2027, 2.5 million French civil servants will stop using video conference tools from U.S. providers — including Zoom, Microsoft Teams, Webex and GoTo Meeting — and switch to Visio, a homegrown service.
https://apnews.com/article/europe-digital…
Fundamental, which has developed an LTM to analyze structured data, comes out of stealth with $255M in funding, including a $225M Series A, at a $1.2B valuation (Russell Brandom/TechCrunch)
https://techcrunch.com/2026/02/05/fund…
So if you care about technology and its impact on the material world I have a treat for you: @…'s "99th Day" is out.
It is a book showing the data on the material impact that technology, data centers and all that have on our world and is willing to ask the big questions. It's an uncomfortable book and that is good. Check it out!<…
ICE Asks Companies About 'Ad Tech and Big Data' Tools It Could Use in Investigations (Caroline Haskins/Wired)
https://www.wired.com/story/ice-asks-companies-about-ad-tech-and-big-data-tools/
http://www.memeorandum.com/260125/p35#a260125p35
#today I have made arrangements to return my uni loan laptop since I think that one part of my planned research will not happen, I am fixing a couple of historical data glitches in my solar PV generation gathering, and I may start work publishing an independent set of temp/RH% measurements for my home for last year. I have been invited out this evening to the big smoke (central London) by friends…
Leave big tech behind! How to replace Amazon, Google, X, Meta, Apple – and more;
A handful of companies monopolize the web, with unprecedented access to our data. But there are many more ethical – and often distinctively European – alternatives
https://www.theg…
I bought a TV and it wouldn't let me past the first setup screen unless I installed an app and gave it Internet access. I figured as much... What I didn't expect was that they would be so explicit about their spying: a big message popped up warning me that the TV channel I was watching would collect viewing data. Fuck you guys. F.u.c.k.y.o.u.
Tomorrow I'll set up the rules in pfSense so I can virtually give all these bastards the middle finger.
I feel like Don Quixote…
Five Big Questions (and Zero Predictions) for the U.S. Privacy and AI Landscape in 2026
https://fpf.org/blog/five-big-questions-and-zero-predictions-for-the-u-s-privacy-and-ai-landscape-in-2026/
idk instead of hoping that your Big Tech software vendor—who had many data leaks before and was sued many times for abusing customer data—doesn't steal your data for AI training you could maybe not store your data in a Big Tech cloud
"Green officials point out that voter fraud tends to be most prominent in postal ballots, and that on this occasion Labour won the postal vote."
But otherwise the article presents no data on sectoral poll shifts.
Labour anxiety and accusations after big shift in Muslim vote to Greens | Green party | The Guardian
I usually find year-end top stories round-ups to be insipid and mediocre at best, but this one by @… is first-rate.
https://www.
In a big win for protesters’ rights,
the U.S. Court of Appeals for the Tenth Circuit overturned a lower court’s dismissal of a challenge to sweeping warrants to search a protester’s devices and digital data and a nonprofit’s social media data.
The case, "Armendariz v. City of Colorado Springs", arose after a housing protest in 2021,
during which Colorado Springs police arrested protesters for obstructing a roadway.
After the demonstration, police also obtaine…
"That's it. That's why every government in the world allowed US Big Tech companies to declare open season on their people's private data and ready cash.
The alternative was tariffs. Well, I don't know if you've heard, but we've got tariffs now!
I mean, if someone threatens to burn your house down unless you follow their orders, and then they burn your house down anyway, you don't have to keep following their orders. So…Happy Liberation Day?" - @…
https://pluralistic.net/2026/01/01/39c3/#the-new-coalition
The war in Iran is complicating plans by Gulf nations to spend $300B on AI investments, putting at risk a potential source of funding for tech companies (Miles Kruppa/The Information)
https://www.theinformation.com/articles/iran-war-imperils-300-billio…
Ui, digitale Unabhängigkeit nimmt auch woanders Fahrt auf!
Leave big tech behind! How to replace Amazon, Google, X, Meta, Apple – and more
https://www.theguardian.com/technology/2026/feb/26/how-to-replac…
Zo typerend dit,
"DNB laat na vragen in eerste instantie weten dat e-mail niet toegankelijk is voor Microsoft omdat de berichten ‘end-to-end beveiligd blijven’. Geconfronteerd met het oordeel van security-experts, erkent de bank vervolgens dat dit antwoord onjuist is en dat ‘technische toegang’ tot de data in ‘uitzonderlijke scenario’s’ mogelijk is."
The US Senate passed COPPA 2.0 again, which would create new protections for young users; the bill now heads to the House, where it has struggled to pass (Anna Washenko/Engadget)
https://www.engadget.com/big-tech/coppa-20-passes-the-sen…
De Nederlandsche Bank waarschuwt voor big tech, maar draait zelf op Microsoft - Follow the Money -
https://www.ftm.nl/artikelen/nederlandsche-bank-waarschuwt-voor-bigtech-microsoft
Archive link https://archive.ph/p3HuI
What the .... 🙈🙈
Maar goed ... Alles draait toch om de MS cloud, dus wat maakt t uit...
... Nou in zoverre dat DNB medewerkers niet alleen over NLse data en ideeën zullen beschikken, maar ongetwijfeld ook over data en documenten van collega centrale banken in andere landen die misschien wel beter beveiligd zijn.
(Via @… )
I don't like to use my phone for music, because
A: I'm an audiophile and need a wired connection,
B: I need my phone's battery to last all day
C: I don't have a big data bundle so I can't stream music.
...Okay and D: I'm a data hoarder and have more than a terabyte of music.
🧵 2/2
https://restofworld.org/2025/chatgpt-india-alternative-ai-llms/
Thanks @… for sharing!
By combining retinal imaging, genetics, and big data,
physician-researchers from Harvard Medical School, Mass Eye and Ear, Massachusetts General Hospital, and the Broad Institute of MIT and Harvard
have found that they can estimate how likely a person is to develop eye and systemic diseases in the future.
⭐️They found significant associations between the thinning of different retinal layers and increased risk of developing ocular, cardiac, pulmonary, metabolic, and neuropsy…
When your form has a validation failure, you should show the submitted data prefilled in the form.
NOT erase the big textarea of information I just provided you that I didn't save to the clipboard before posting, assuming your web developers are competent.
Only unprofessional morons make sites that bad...
#WebDev
»8 Million Users' AI Conversations Sold for Profit by "Privacy" Extensions«
WTF?! Now don't tell me that this surprises you. Why do so many people still naively think to keep their privacy over VPN's for data-hungry big corporations?
🤷 https://www.koi.ai/blo…
One thing that influenced my decision to use the iPhone with the Apple Watch as my main device instead of the Pixel with GrapheneOS for health reasons is this: I feel absolutely, ABSOLUTELY bad about it!
On the one hand, of course, because of the data protection issue, but since Trump, I also have the problem that most Europeans have: that you are becoming dependent on a big tech company from the US. A country that is clearly drifting toward fascism, where fundamental rights are being …
Next at #12Clouds is Samaresh Kumar Singh talking about doing AI at the edge rather than in some big ol' data center somewhere
A look at India's push to become a major provider of AI services, as US tech companies pledge tens of billions in Indian data center investments (Wall Street Journal)
https://www.wsj.com/world/india/why-big-te…
“Core Thesis: The target I care about is simple: can you make space-based, commodity compute cost-competitive with the cheapest terrestrial alternative? That's the whole claim. Not "space is big." Not "the sun is huge." Not "launch will be cheap." Can you deliver useful watts and reject the waste heat at a price that beats a boring Crusoe-style tilt-wall datacenter tied into a 200–500 MW substation? If you can't beat that, the rest is just vibes.”
…
Source: Amazon, Google, Meta, Microsoft, xAI, Oracle, and OpenAI will sign White House's initiative to build their own electricity supply for AI data centers (Emma Colton/Fox News)
https://www.foxnews.com/politics/scoop-trump-brings-…
Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[4/6]:
- Neural Proposals, Symbolic Guarantees: Neuro-Symbolic Graph Generation with Hard Constraints
Chuqin Geng, Li Zhang, Mark Zhang, Haolin Ye, Ziyu Zhao, Xujie Si
https://arxiv.org/abs/2602.16954 https://mastoxiv.page/@arXiv_csLG_bot/116102434757760085
- Multi-Probe Zero Collision Hash (MPZCH): Mitigating Embedding Collisions and Enhancing Model Fres...
Ziliang Zhao, et al.
https://arxiv.org/abs/2602.17050 https://mastoxiv.page/@arXiv_csLG_bot/116102517335590034
- MASPO: Unifying Gradient Utilization, Probability Mass, and Signal Reliability for Robust and Sam...
Fu, Lin, Fang, Zheng, Hu, Shao, Qin, Pan, Zeng, Cai
https://arxiv.org/abs/2602.17550 https://mastoxiv.page/@arXiv_csLG_bot/116102581561441103
- A Theoretical Framework for Modular Learning of Robust Generative Models
Corinna Cortes, Mehryar Mohri, Yutao Zhong
https://arxiv.org/abs/2602.17554 https://mastoxiv.page/@arXiv_csLG_bot/116102582216715527
- Multi-Round Human-AI Collaboration with User-Specified Requirements
Sima Noorani, Shayan Kiyani, Hamed Hassani, George Pappas
https://arxiv.org/abs/2602.17646 https://mastoxiv.page/@arXiv_csLG_bot/116102592047544971
- NEXUS: A compact neural architecture for high-resolution spatiotemporal air quality forecasting i...
Rampunit Kumar, Aditya Maheshwari
https://arxiv.org/abs/2602.19654 https://mastoxiv.page/@arXiv_csLG_bot/116125610403473755
- Augmenting Lateral Thinking in Language Models with Humor and Riddle Data for the BRAINTEASER Task
Mina Ghashami, Soumya Smruti Mishra
https://arxiv.org/abs/2405.10385 https://mastoxiv.page/@arXiv_csCL_bot/112472190479013167
- Watermarking Language Models with Error Correcting Codes
Patrick Chao, Yan Sun, Edgar Dobriban, Hamed Hassani
https://arxiv.org/abs/2406.10281 https://mastoxiv.page/@arXiv_csCR_bot/112636307340218522
- Learning to Control Unknown Strongly Monotone Games
Siddharth Chandak, Ilai Bistritz, Nicholas Bambos
https://arxiv.org/abs/2407.00575 https://mastoxiv.page/@arXiv_csMA_bot/112715733875586837
- Classification and reconstruction for single-pixel imaging with classical and quantum neural netw...
Sofya Manko, Dmitry Frolovtsev
https://arxiv.org/abs/2407.12506 https://mastoxiv.page/@arXiv_quantph_bot/112806295477530195
- Statistical Inference for Temporal Difference Learning with Linear Function Approximation
Weichen Wu, Gen Li, Yuting Wei, Alessandro Rinaldo
https://arxiv.org/abs/2410.16106 https://mastoxiv.page/@arXiv_statML_bot/113350611306532443
- Big data approach to Kazhdan-Lusztig polynomials
Abel Lacabanne, Daniel Tubbenhauer, Pedro Vaz
https://arxiv.org/abs/2412.01283 https://mastoxiv.page/@arXiv_mathRT_bot/113587812663608119
- MoEMba: A Mamba-based Mixture of Experts for High-Density EMG-based Hand Gesture Recognition
Mehran Shabanpour, Kasra Rad, Sadaf Khademi, Arash Mohammadi
https://arxiv.org/abs/2502.17457 https://mastoxiv.page/@arXiv_eessSP_bot/114069047434302054
- Tightening Optimality gap with confidence through conformal prediction
Miao Li, Michael Klamkin, Russell Bent, Pascal Van Hentenryck
https://arxiv.org/abs/2503.04071 https://mastoxiv.page/@arXiv_statML_bot/114120074927291283
- SEED: Towards More Accurate Semantic Evaluation for Visual Brain Decoding
Juhyeon Park, Peter Yongho Kim, Jiook Cha, Shinjae Yoo, Taesup Moon
https://arxiv.org/abs/2503.06437 https://mastoxiv.page/@arXiv_csCV_bot/114142690988862508
- How much does context affect the accuracy of AI health advice?
Prashant Garg, Thiemo Fetzer
https://arxiv.org/abs/2504.18310 https://mastoxiv.page/@arXiv_econGN_bot/114414380916957986
- Reproducing and Improving CheXNet: Deep Learning for Chest X-ray Disease Classification
Daniel J. Strick, Carlos Garcia, Anthony Huang, Thomas Gardos
https://arxiv.org/abs/2505.06646 https://mastoxiv.page/@arXiv_eessIV_bot/114499319986528625
- Sharp Gaussian approximations for Decentralized Federated Learning
Soham Bonnerjee, Sayar Karmakar, Wei Biao Wu
https://arxiv.org/abs/2505.08125 https://mastoxiv.page/@arXiv_statML_bot/114505047719395949
- HoloLLM: Multisensory Foundation Model for Language-Grounded Human Sensing and Reasoning
Chuhao Zhou, Jianfei Yang
https://arxiv.org/abs/2505.17645 https://mastoxiv.page/@arXiv_csCV_bot/114572928659057348
- A Copula Based Supervised Filter for Feature Selection in Diabetes Risk Prediction Using Machine ...
Agnideep Aich, Md Monzur Murshed, Sameera Hewage, Amanda Mayeaux
https://arxiv.org/abs/2505.22554 https://mastoxiv.page/@arXiv_statML_bot/114589983451462525
- Synthesis of discrete-continuous quantum circuits with multimodal diffusion models
Florian F\"urrutter, Zohim Chandani, Ikko Hamamura, Hans J. Briegel, Gorka Mu\~noz-Gil
https://arxiv.org/abs/2506.01666 https://mastoxiv.page/@arXiv_quantph_bot/114618420761346125
toXiv_bot_toot
RE: https://mastodon.social/@404mediaco/115918464978934903
This is why we should continue to fight for our right on privacy, encryption, and don't give away all our data to big tech. Germany should not buy Palantir!
US data center demand has driven stock surges of contractors and equipment makers like Corning, Sterling Infrastructure, Comfort Systems USA, and Carrier Global (Wall Street Journal)
https://www.wsj.com/business/meet-the-non-
Alphabet, Amazon, Meta, and Microsoft forecast capital expenditures that reach a combined ~$650B in 2026, a 60% YoY increase driven by data center construction (Bloomberg)
https://www.bloomberg.com/news/articles/20
No no, instead of regulating social media and requiring them to remove lies, violence and bullshit we’d rather have adults give up their privacy and anonymity instead, so big tech gets even more data.
While children are pushed to much worse corners of the Internet.
People who demand ID laws are child abusers.
Over 100 researchers from Johns Hopkins, Oxford, and more call for guardrails on some infectious disease datasets that could enable AI to design deadly viruses (Megan Morrone/Axios)
https://www.axios.com/2026/02/17/ai-data-viruses-biosecurity
Apple says iPhone and iPad on iOS 26 and iPadOS 26 have become the first consumer devices NATO approved for use up to the "restricted" level of classified data (Elyse Betters Picaro/ZDNET)
https://www.zdnet.com/article/apple-iphone-ipad-nato-classified-sec…
The unusual electronic and optical properties of #perovskites have long been touted as useful for improving solar cells and television screens,
but these materials have never quite hit the big time.
Existing approaches have hoovered up all the investment and attention, and perovskites remain confined to specialist applications.
Now researchers at Empa, ETH Zurich and the Politecnico…
Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[3/5]:
- Look-Ahead Reasoning on Learning Platforms
Haiqing Zhu, Tijana Zrnic, Celestine Mendler-D\"unner
https://arxiv.org/abs/2511.14745 https://mastoxiv.page/@arXiv_csLG_bot/115575981129228810
- Deep Gaussian Process Proximal Policy Optimization
Matthijs van der Lende, Juan Cardenas-Cartagena
https://arxiv.org/abs/2511.18214 https://mastoxiv.page/@arXiv_csLG_bot/115610315210502140
- Spectral Concentration at the Edge of Stability: Information Geometry of Kernel Associative Memory
Akira Tamamori
https://arxiv.org/abs/2511.23083 https://mastoxiv.page/@arXiv_csLG_bot/115644325602130493
- xGR: Efficient Generative Recommendation Serving at Scale
Sun, Liu, Zhang, Wu, Yang, Liang, Li, Ma, Liang, Ren, Zhang, Liu, Zhang, Qian, Yang
https://arxiv.org/abs/2512.11529 https://mastoxiv.page/@arXiv_csLG_bot/115723008170311172
- Credit Risk Estimation with Non-Financial Features: Evidence from a Synthetic Istanbul Dataset
Atalay Denknalbant, Emre Sezdi, Zeki Furkan Kutlu, Polat Goktas
https://arxiv.org/abs/2512.12783 https://mastoxiv.page/@arXiv_csLG_bot/115729287232895097
- The Semantic Illusion: Certified Limits of Embedding-Based Hallucination Detection in RAG Systems
Debu Sinha
https://arxiv.org/abs/2512.15068 https://mastoxiv.page/@arXiv_csLG_bot/115740048142898391
- Towards Reproducibility in Predictive Process Mining: SPICE -- A Deep Learning Library
Stritzel, H\"uhnerbein, Rauch, Zarate, Fleischmann, Buck, Lischka, Frey
https://arxiv.org/abs/2512.16715 https://mastoxiv.page/@arXiv_csLG_bot/115745910810427061
- Differentially private Bayesian tests
Abhisek Chakraborty, Saptati Datta
https://arxiv.org/abs/2401.15502 https://mastoxiv.page/@arXiv_statML_bot/111843467510507382
- SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic Approximation and TD Learning
Paul Mangold, Sergey Samsonov, Safwan Labbi, Ilya Levin, Reda Alami, Alexey Naumov, Eric Moulines
https://arxiv.org/abs/2402.04114
- Adjusting Model Size in Continual Gaussian Processes: How Big is Big Enough?
Guiomar Pescador-Barrios, Sarah Filippi, Mark van der Wilk
https://arxiv.org/abs/2408.07588 https://mastoxiv.page/@arXiv_statML_bot/112965266196097314
- Non-Perturbative Trivializing Flows for Lattice Gauge Theories
Mathis Gerdes, Pim de Haan, Roberto Bondesan, Miranda C. N. Cheng
https://arxiv.org/abs/2410.13161 https://mastoxiv.page/@arXiv_heplat_bot/113327593338897860
- Dynamic PET Image Prediction Using a Network Combining Reversible and Irreversible Modules
Sun, Zhang, Xia, Sun, Chen, Yang, Liu, Zhu, Liu
https://arxiv.org/abs/2410.22674 https://mastoxiv.page/@arXiv_eessIV_bot/113401026110345647
- Targeted Learning for Variable Importance
Xiaohan Wang, Yunzhe Zhou, Giles Hooker
https://arxiv.org/abs/2411.02221 https://mastoxiv.page/@arXiv_statML_bot/113429912435819479
- Refined Analysis of Federated Averaging and Federated Richardson-Romberg
Paul Mangold, Alain Durmus, Aymeric Dieuleveut, Sergey Samsonov, Eric Moulines
https://arxiv.org/abs/2412.01389 https://mastoxiv.page/@arXiv_statML_bot/113588027268311334
- Embedding-Driven Data Distillation for 360-Degree IQA With Residual-Aware Refinement
Abderrezzaq Sendjasni, Seif-Eddine Benkabou, Mohamed-Chaker Larabi
https://arxiv.org/abs/2412.12667 https://mastoxiv.page/@arXiv_csCV_bot/113672538318570349
- 3D Cell Oversegmentation Correction via Geo-Wasserstein Divergence
Peter Chen, Bryan Chang, Olivia A Creasey, Julie Beth Sneddon, Zev J Gartner, Yining Liu
https://arxiv.org/abs/2502.01890 https://mastoxiv.page/@arXiv_csCV_bot/113949981686723660
- DHP: Discrete Hierarchical Planning for Hierarchical Reinforcement Learning Agents
Shashank Sharma, Janina Hoffmann, Vinay Namboodiri
https://arxiv.org/abs/2502.01956 https://mastoxiv.page/@arXiv_csRO_bot/113949997485625086
- Foundation for unbiased cross-validation of spatio-temporal models for species distribution modeling
Diana Koldasbayeva, Alexey Zaytsev
https://arxiv.org/abs/2502.03480
- GraphCompNet: A Position-Aware Model for Predicting and Compensating Shape Deviations in 3D Printing
Juheon Lee (Rachel), Lei (Rachel), Chen, Juan Carlos Catana, Hui Wang, Jun Zeng
https://arxiv.org/abs/2502.09652 https://mastoxiv.page/@arXiv_csCV_bot/114017924551186136
- LookAhead Tuning: Safer Language Models via Partial Answer Previews
Liu, Wang, Luo, Yuan, Sun, Liang, Zhang, Zhou, Hooi, Deng
https://arxiv.org/abs/2503.19041 https://mastoxiv.page/@arXiv_csCL_bot/114227502448008352
- Constraint-based causal discovery with tiered background knowledge and latent variables in single...
Christine W. Bang, Vanessa Didelez
https://arxiv.org/abs/2503.21526 https://mastoxiv.page/@arXiv_statML_bot/114238919468512990
toXiv_bot_toot
Nvidia says it is working with Peak XV and other VC firms in India to fund AI startups; over 4,000 Indian AI startups have joined its global startup program (Dylan Butts/CNBC)
https://www.cnbc.com/2026/02/18/nvidia-india-ai-vc-data-center-partners.html…
Good Morning #Canada
Did you know that Interac, the Big Brother organization that knows if you're naughty or nice based on your shopping habits, tracks the busiest shopping day of the year? According to their data, Canadians are apparently getting smarter. A decade ago, December 23rd was traditionally the busiest day of the year for retailers based on how many debit and credit cards they swiped. About 5 years ago it began to shift to earlier in the month and in 2025 December 19th was forecasted to be the pinnacle of purchasing. Maybe we ran out of money 4 days earlier.
How prepared are you for #Christmas? Not including food prep, how organized are you for choosing gifts and getting them wrapped and ready? Please take part in our highly scientific survey below and please boost for a larger data sample.
#CanadaIsAwesome #ReadyOrNot
#POLL - My Christmas gifts are selected, wrapped, and ready for Santa to take credit by this date:
The EU gives Google a six-month deadline to lift technical barriers to rival AI search assistants on Android and give key data to other search engine providers (Samuel Stolton/Bloomberg)
https://www.bloomberg.com/news/articles/2026-…
The offices at John Quackenbush’s lab at the Harvard T.H. Chan School of Public Health
were once full of postdoctoral fellows, graduate students, and interns.
Young scientists here worked on some of the most cutting-edge computational biology research in the world,
driving new discoveries and the creation of widely used big data tools, including one the National Cancer Institute named among the most important advances of 2024.
Today, the offices are rows of empty comp…
Total global VC funding to fintech startups totaled $51.8B in 2025, up 27% YoY and above pre-pandemic totals, but much lower than 2021's peak of $141.6B (Mary Ann Azevedo/Crunchbase News)
https://news.crunchbase.com/fintech/funding-jumped-big-checks-ai-ye-2025/<…
Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[6/6]:
- Fast-ThinkAct: Efficient Vision-Language-Action Reasoning via Verbalizable Latent Planning
Chi-Pin Huang, Yunze Man, Zhiding Yu, Min-Hung Chen, Jan Kautz, Yu-Chiang Frank Wang, Fu-En Yang
https://arxiv.org/abs/2601.09708 https://mastoxiv.page/@arXiv_csCV_bot/115898618760721320
- Universality of Many-body Projected Ensemble for Learning Quantum Data Distribution
Quoc Hoan Tran, Koki Chinzei, Yasuhiro Endo, Hirotaka Oshima
https://arxiv.org/abs/2601.18637 https://mastoxiv.page/@arXiv_quantph_bot/115967001797773134
- FROST: Filtering Reasoning Outliers with Attention for Efficient Reasoning
Haozheng Luo, Zhuolin Jiang, Md Zahid Hasan, Yan Chen, Soumalya Sarkar
https://arxiv.org/abs/2601.19001 https://mastoxiv.page/@arXiv_csCL_bot/115972068838908815
- Analysis of Shuffling Beyond Pure Local Differential Privacy
Shun Takagi, Seng Pei Liew
https://arxiv.org/abs/2601.19154 https://mastoxiv.page/@arXiv_csDS_bot/115971701218309765
- CryoLVM: Self-supervised Learning from Cryo-EM Density Maps with Large Vision Models
Weining Fu, Kai Shu, Kui Xu, Qiangfeng Cliff Zhang
https://arxiv.org/abs/2602.02620
- XtraLight-MedMamba for Classification of Neoplastic Tubular Adenomas
Sultana, Afsar, Rahu, Singh, Shula, Combs, Forchetti, Asari
https://arxiv.org/abs/2602.04819
- Flow-Based Conformal Predictive Distributions
Trevor Harris
https://arxiv.org/abs/2602.07633 https://mastoxiv.page/@arXiv_statML_bot/116045671088130364
- GOT-Edit: Geometry-Aware Generic Object Tracking via Online Model Editing
Shih-Fang Chen, Jun-Cheng Chen, I-Hong Jhuo, Yen-Yu Lin
https://arxiv.org/abs/2602.08550 https://mastoxiv.page/@arXiv_csCV_bot/116046486984991360
- UI-Venus-1.5 Technical Report
Venus Team, et al.
https://arxiv.org/abs/2602.09082 https://mastoxiv.page/@arXiv_csCV_bot/116050980295461008
- The Wisdom of Many Queries: Complexity-Diversity Principle for Dense Retriever Training
Xincan Feng, Noriki Nishida, Yusuke Sakai, Yuji Matsumoto
https://arxiv.org/abs/2602.09448 https://mastoxiv.page/@arXiv_csIR_bot/116051022881293649
- Intent Laundering: AI Safety Datasets Are Not What They Seem
Shahriar Golchin, Marc Wetter
https://arxiv.org/abs/2602.16729 https://mastoxiv.page/@arXiv_csCR_bot/116101884238965526
- The Metaphysics We Train: A Heideggerian Reading of Machine Learning
Heman Shakeri
https://arxiv.org/abs/2602.19028 https://mastoxiv.page/@arXiv_csCY_bot/116125225694943789
- Skill-Inject: Measuring Agent Vulnerability to Skill File Attacks
David Schmotz, Luca Beurer-Kellner, Sahar Abdelnabi, Maksym Andriushchenko
https://arxiv.org/abs/2602.20156 https://mastoxiv.page/@arXiv_csCR_bot/116125330557447048
- A Very Big Video Reasoning Suite
Maijunxian Wang, et al.
https://arxiv.org/abs/2602.20159 https://mastoxiv.page/@arXiv_csCV_bot/116125664801070747
toXiv_bot_toot
SOTU: Trump says he told tech companies they must build their own power plants for their data centers; sources: the WH expects to formalize the effort in March (Richard Valdmanis/Reuters)
https://www.reuters.com/business/energy/tr
Source: Italian police searched the offices of the country's data protection agency, one of EU's most proactive regulators, as part of a corruption probe (Reuters)
https://www.reuters.com/sustainability/boa