Tootfinder

Chinese robotaxi operators WeRide and Pony AI are partnering with local companies like Grab to expand into Singapore, one of the world's best-mapped cities (Olivia Poh/Bloomberg)
https://www.bloomberg.com/news/articles/2025-09-…

On small, local language models: 'In a world increasingly dominated by massive models and opaque APIs, we believe there’s still room for small, transparent, controllable systems. Models you can fine-tune, understand and run on your own terms' https://www.turing.ac.uk…

Read all about Chatcontrol and why we should resist it. This sentence is extremely scary.... "Specifically, this AI will have to be built by WhatsApp/Meta so they can monitor us on behalf of the EU" 😱
https://berthub.eu/articles/posts/chatcontrol-in-brief/

Chatcontrol 2025 edition in Brief - Bert Hubert's writings
In short, led by Denmark, many EU member states are arguing for forcing WhatsApp/Signal/etc to inspect all our photos and links, using AI. If the AI is in any “doubt” if this might be child pornography, your photo, location, phone number & other details get reported to Europol and a local police force. What happens next is not specified, but your holiday in Cyprus might end up with you having to explain your photos over at the local police station.

DeepSeek releases V3.1, adding a longer context window, with few other details; Chinese local media blames CEO Liang Wenfeng's perfectionism for R2's delay (Bloomberg)
https://www.bloomberg.com/news/articles/2025-08-19…

Image Realness Assessment and Localization with Multimodal Features
Lovish Kaushik, Agnij Biswas, Somdyuti Paul
https://arxiv.org/abs/2509.13289 https://ar…

Image Realness Assessment and Localization with Multimodal Features
A reliable method of quantifying the perceptual realness of AI-generated images and identifying visually inconsistent regions is crucial for practical use of AI-generated images and for improving photorealism of generative AI via realness feedback during training. This paper introduces a framework that accomplishes both overall objective realness assessment and local inconsistency identification of AI-generated images using textual descriptions of visual inconsistencies generated by vision-lang…

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/11]:
- AVEC: Bootstrapping Privacy for Local LLMs
Madhava Gaikwad
https://

Google says India has emerged as the No. 1 country for Nano Banana model usage, making Gemini the top free app on both the App Store and Google Play in India (Jagmeet Singh/TechCrunch)
https://techcrunch.com/2025/09/17/india-leads-the…

India leads the way on Google's Nano Banana with a local creative twist | TechCrunch
Indian users turning Google’s Nano Banana into a viral trend engine, from retro AI portraits to figurine-style selfies.

"Researchers Use Al to Predict Beavers' Impact on Local Habitats-and Show How Humans Can Help"
#Beavers #Animals

Researchers Use AI to Predict Beavers’ Impact on Local Habitats—and Show How Humans Can Help - Inside Climate News
By linking pond size to dam length, vegetation and stream power, researchers give land managers more precise tools to anticipate water storage, biodiversity and climate resilience.

More AI slop coming to FB. Any local advertisers will get a polite note, and if they still use it, I walk away to their competitors.

Indonesia's film industry is embracing AI tools to produce Hollywood-style movies at a significantly lower cost; the average local film budget is about $602,500 (Linda Yulisman/Rest of World)
https://restofworld.org/2025/indonesia-ai-movies/

Indonesia’s film industry embraces AI to make Hollywood-style movies for cheap
Generative AI video and text tools are transforming some of the labor-intensive parts of filmmaking, and are largely welcomed in Indonesia’s homegrown industry.

NetMoniAI: An Agentic AI Framework for Network Security & Monitoring
Pallavi Zambare, Venkata Nikhil Thanikella, Nikhil Padmanabh Kottur, Sree Akhil Akula, Ying Liu
https://arxiv.org/abs/2508.10052

NetMoniAI: An Agentic AI Framework for Network Security & Monitoring
In this paper, we present NetMoniAI, an agentic AI framework for automatic network monitoring and security that integrates decentralized analysis with lightweight centralized coordination. The framework consists of two layers: autonomous micro-agents at each node perform local traffic analysis and anomaly detection. A central controller then aggregates insights across nodes to detect coordinated attacks and maintain system-wide situational awareness. We evaluated NetMoniAI on a local micro-test…

Bridging Cultural Distance Between Models Default and Local Classroom Demands: How Global Teachers Adopt GenAI to Support Everyday Teaching Practices
Ruiwei Xiao, Qing Xiao, Xinying Hou, Hanqi Jane Li, Phenyo Phemelo Moletsane, Hong Shen, John Stamper
https://arxiv.org/abs/2509.10780

Bridging Cultural Distance Between Models Default and Local Classroom Demands: How Global Teachers Adopt GenAI to Support Everyday Teaching Practices
Generative AI (GenAI) is rapidly entering K-12 classrooms, offering teachers new ways for teaching practices. Yet GenAI models are often trained on culturally uneven datasets, embedding a "default culture" that often misaligns with local classrooms. To understand how teachers navigate this gap, we defined the new concept Cultural Distance (the gap between GenAI's default cultural repertoire and the situated demands of teaching practice) and conducted in-depth interviews with 30 K-12 teachers, 1…

"Please do not use Google AI to find out our specials. Please go on our Facebook page or our website,"
the restaurant wrote in a weary Facebook post.
"Google AI is not accurate and is telling people specials that do not exist
which is causing angry customers yelling at our employees."
https://

Local Restaurant Exhausted as Google AI Keeps Telling Customers About Daily Specials That Don't Exist
A restaurant is begging its customers to please stop using notoriously unreliable Google AI to ask about its menu items.

Just read this post by @… on an optimistic AGI future, and while it had some interesting and worthwhile ideas, it's also in my opinion dangerously misguided, and plays into the current AGI hype in a harmful way.
https://social.coop/@eloquence/114940607434005478
My criticisms include:
- Current LLM technology has many layers, but the biggest most capable models are all tied to corporate datacenters and require inordinate amounts of every and water use to run. Trying to use these tools to bring about a post-scarcity economy will burn up the planet. We urgently need more-capable but also vastly more efficient AI technologies if we want to use AI for a post-scarcity economy, and we are *not* nearly on the verge of this despite what the big companies pushing LLMs want us to think.
- I can see that permacommons.org claims a small level of expenses on AI equates to low climate impact. However, given current deep subsidies on place by the big companies to attract users, that isn't a great assumption. The fact that their FAQ dodges the question about which AI systems they use isn't a great look.
- These systems are not free in the same way that Wikipedia or open-source software is. To run your own model you need a data harvesting & cleaning operation that costs millions of dollars minimum, and then you need millions of dollars worth of storage & compute to train & host the models. Right now, big corporations are trying to compete for market share by heavily subsidizing these things, but it you go along with that, you become dependent on them, and you'll be screwed when they jack up the price to a profitable level later. I'd love to see open dataset initiatives SBD the like, and there are some of these things, but not enough yet, and many of the initiatives focus on one problem while ignoring others (fine for research but not the basis for a society yet).
- Between the environmental impacts, the horrible labor conditions and undercompensation of data workers who filter the big datasets, and the impacts of both AI scrapers and AI commons pollution, the developers of the most popular & effective LLMs have a lot of answer for. This project only really mentions environmental impacts, which makes me think that they're not serious about ethics, which in turn makes me distrustful of the whole enterprise.
- Their language also ends up encouraging AI use broadly while totally ignoring several entire classes of harm, so they're effectively contributing to AI hype, especially with such casual talk of AGI and robotics as if embodied AGI were just around the corner. To be clear about this point: we are several breakthroughs away from AGI under the most optimistic assumptions, and giving the impression that those will happen soon plays directly into the hands of the Sam Altmans of the world who are trying to make money off the impression of impending huge advances in AI capabilities. Adding to the AI hype is irresponsible.
- I've got a more philosophical criticism that I'll post about separately.
I do think that the idea of using AI & other software tools, possibly along with robotics and funded by many local cooperatives, in order to make businesses obsolete before they can do the same to all workers, is a good one. Get your local library to buy a knitting machine alongside their 3D printer.
Lately I've felt too busy criticizing AI to really sit down and think about what I do want the future to look like, even though I'm a big proponent of positive visions for the future as a force multiplier for criticism, and this article is inspiring to me in that regard, even if the specific project doesn't seem like a good one.

I think there’s a real possibility that local, running on consumer electronic devices, generative AI without the need for expensive processors, data centers, massive amounts of water and electricity may well be the actual long term way forward for generative AIs like LLM, image and video generators.
#tech #ai

Looking for the local tides, and Duckduckgo helpfully gives me an AI summary that is approx 6 hrs out. Which is about as wrong as you can be.

Echoes of Automation: The Increasing Use of LLMs in Newsmaking
Abolfazl Ansari, Delvin Ce Zhang, Nafis Irtiza Tripto, Dongwon Lee
https://arxiv.org/abs/2508.06445 https://

Echoes of Automation: The Increasing Use of LLMs in Newsmaking
The rapid rise of Generative AI (GenAI), particularly LLMs, poses concerns for journalistic integrity and authorship. This study examines AI-generated content across over 40,000 news articles from major, local, and college news media, in various media formats. Using three advanced AI-text detectors (e.g., Binoculars, Fast-Detect GPT, and GPTZero), we find substantial increase of GenAI use in recent years, especially in local and college news. Sentence-level analysis reveals LLMs are often used …

Microsoft to bring Copilot Actions, which can use apps to complete certain tasks on local files in Windows 11, to the Windows Insider Program and Copilot Labs (Jordan Novet/CNBC)
https://www.cnbc.com/2025/10/16/microsoft-test-copilot-manus-windows-11.html

Microsoft will test a Copilot AI feature that performs work on local files in Windows 11
Early adopters will be able to tell Microsoft's Copilot assistant to take action on files stored on their Windows 11 PCs.

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[14/14]:
- Local MAP Sampling for Diffusion Models
Shaorong Zhang, Rob Brekelmans, Greg Ver Steeg

A look at the impact of AI voice cloning on India's dubbing and voiceover sector, as artists demand consent, credit, and fair pay amid a lack of laws for AI use (Zico Ghosh/The Hollywood Reporter)
https://www.hollywoodreporter.com/movies/m

AI Is Replacing Voice Artists in India — and There Are No Local Laws to Stop It
As AI voice cloning in films becomes a reality, India’s dubbing artists are demanding consent, credit and fair pay: "You must understand that your voice is your intellectual property."

Quantization Errors, Human--AI Interaction, and Approximate Fixed Points in $L^1(\mu)$
Faruk Alpay, Hamdi Alakkad
https://arxiv.org/abs/2509.11700 https://…

Quantization Errors, Human--AI Interaction, and Approximate Fixed Points in $L^1(μ)$
We develop a rigorous measure-theoretic framework for the analysis of fixed points of nonexpansive maps in the space $L^1(μ)$, with explicit consideration of quantization errors arising in fixed-point arithmetic. Our central result shows that every bounded, closed, convex subset of $L^1(μ)$ that is compact in the topology of local convergence in measure (a property we refer to as measure-compactness) enjoys the fixed point property for nonexpansive mappings. The proof relies on techniques fro…

Evolutionary Computation as Natural Generative AI
Yaxin Shi, Abhishek Gupta, Ying Wu, Melvin Wong, Ivor Tsang, Thiago Rios, Stefan Menzel, Bernhard Sendhoff, Yaqing Hou, Yew-Soon Ong
https://arxiv.org/abs/2510.08590

Evolutionary Computation as Natural Generative AI
Generative AI (GenAI) has achieved remarkable success across a range of domains, but its capabilities remain constrained to statistical models of finite training sets and learning based on local gradient signals. This often results in artifacts that are more derivative than genuinely generative. In contrast, Evolutionary Computation (EC) offers a search-driven pathway to greater diversity and creativity, expanding generative capabilities by exploring uncharted solution spaces beyond the limits …

Firefox 141.0 released with "a local AI model" that can perform tab grouping.
If that's really the best use for an "AI" in a browser, then please stop trying to shove it in, will you? And no, I'm not dissing the "local" part at all - any cloud AI models used by any browser coming near me are immediately disabled!
Reference:

Accelerating Local AI on Consumer GPUs: A Hardware-Aware Dynamic Strategy for YOLOv10s
Mahmudul Islam Masum, Miad Islam, Arif I. Sarwat
https://arxiv.org/abs/2509.07928 https://…

Accelerating Local AI on Consumer GPUs: A Hardware-Aware Dynamic Strategy for YOLOv10s
As local AI grows in popularity, there is a critical gap between the benchmark performance of object detectors and their practical viability on consumer-grade hardware. While models like YOLOv10s promise real-time speeds, these metrics are typically achieved on high-power, desktop-class GPUs. This paper reveals that on resource-constrained systems, such as laptops with RTX 4060 GPUs, performance is not compute-bound but is instead dominated by system-level bottlenecks, as illustrated by a simpl…

#eathquake in #NewJersey
https://masto.ai/@lastquake/114962461896052590

Indonesia's film industry is embracing AI tools to produce Hollywood-style movies at a significantly lower cost; the average local film budget is about $602,500 (Linda Yulisman/Rest of World)
https://restofworld.org/2025/indonesia-ai-movies/

Indonesia’s film industry embraces AI to make Hollywood-style movies for cheap
Generative AI video and text tools are transforming some of the labor-intensive parts of filmmaking, and are largely welcomed in Indonesia’s homegrown industry.

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[2/8]:
- Centering Emotion Hotspots: Multimodal Local-Global Fusion and Cross-Modal Alignment for Emotion ...
Yu Liu, Hanlei Shi, Haoxun Li, Yuqing Sun, Yuxuan Ding, Linlin Gong, Leyuan Qu, Taihao Li

Impact of Labeling Inaccuracy and Image Noise on Tooth Segmentation in Panoramic Radiographs using Federated, Centralized and Local Learning
Johan Andreas Balle Rubak, Khuram Naveed, Sanyam Jain, Lukas Esterle, Alexandros Iosifidis, Ruben Pauwels
https://arxiv.org/abs/2509.06553

Impact of Labeling Inaccuracy and Image Noise on Tooth Segmentation in Panoramic Radiographs using Federated, Centralized and Local Learning
Objectives: Federated learning (FL) may mitigate privacy constraints, heterogeneous data quality, and inconsistent labeling in dental diagnostic AI. We compared FL with centralized (CL) and local learning (LL) for tooth segmentation in panoramic radiographs across multiple data corruption scenarios. Methods: An Attention U-Net was trained on 2066 radiographs from six institutions across four settings: baseline (unaltered data); label manipulation (dilated/missing annotations); image-quality man…

SIMPLETON: Yes, this will crash the economy because wrong math = lost money
EXPERT: No, this won’t crash the economy because people screw up even without AI, business operations are already riddled with ridiculous errors, and human systems have grown resilient to pervasive local failure
WISE SAGE: Yes, this will crash the economy because the economy is currently propped up by gullible investors •believing• this BS is real actual magic, and if they find out it it sucks like normal, the bubble pops
From @…: https://social.coop/@eb/115328355039744280

AI didn't create skewed workplace incentives. They were already aligned towards churning out artifacts to create the illusion of productivity.
Of course, if there is one thing AI is good at, it's making plausible-looking artifacts. Then those artifacts get passed on and become your problem.
HBR is calling this the workslop era.
We must kill the logic underlying workslop: that anything going wrong after a handoff can be blamed on execution problems.

"Workslop" was the logical outcome of productivity maxxing
Local throughput optimization always externalizes costs onto downstream colleagues.

Democratizing AI Development: Local LLM Deployment for India's Developer Ecosystem in the Era of Tokenized APIs
Vikranth Udandarao, Nipun Misra
https://arxiv.org/abs/2508.16684

Democratizing AI Development: Local LLM Deployment for India's Developer Ecosystem in the Era of Tokenized APIs
India's developer community faces significant barriers to sustained experimentation and learning with commercial Large Language Model (LLM) APIs, primarily due to economic and infrastructural constraints. This study empirically evaluates local LLM deployment using Ollama as an alternative to commercial cloud-based services for developer-focused applications. Through a mixed-methods analysis involving 180 Indian developers, students, and AI enthusiasts, we find that local deployment enables subs…

Helsinki-based DataCrunch, which aims to become Europe's first AI cloud hyperscaler, raised a €55M Series A, bringing its total funding to €76.5M (Tamara Djurickovic/Tech.eu)
https://tech.eu/2025/09/08/datacrunch-raises-eur5…

DataCrunch raises €55M to boost EU AI sovereignty with green cloud infrastructure
Helsinki-based DataCrunch, a provider of high-performance AI infrastructure, has raised €55 million in a Series A round to scale its compute platform and advance its ambition to become Europe’s first AI cloud hyperscaler.The round was led by byFounders, Skaala, Varma pension fund, and Tesi, with participation from J12 Ventures and angel investors. Debt financing came from Nordea and Armada Credit Partners, alongside Danske Bank, Norion Bank, and Local Tapiola. With this raise, DataCru…

In much the same way we want useful #privacy focused, secure software, but the techbros keep delivering insecure #AI focused insecure nightmares, I wish the food industry would stop trying to sell us #ultraprocessed #overpackaged and mostly marketing driven guff and start turning their brilliant minds to real problems.
Why can't I have a delicious #vegan #plantbased cheese that doesn't cost the earth available at my local supermarket?
It's as if the brightest minds of each generation get turned to the wrong things - like ever more sophisticated ways to keep scrolling, or physics graduates who became quants and helped cause the financial crisis...

Uncertainty Awareness and Trust in Explainable AI- On Trust Calibration using Local and Global Explanations
Carina Newen, Daniel Bodemer, Sonja Glantz, Emmanuel M\"uller, Magdalena Wischnewski, Lenka Schnaubert
https://arxiv.org/abs/2509.08989

Uncertainty Awareness and Trust in Explainable AI- On Trust Calibration using Local and Global Explanations
Explainable AI has become a common term in the literature, scrutinized by computer scientists and statisticians and highlighted by psychological or philosophical researchers. One major effort many researchers tackle is constructing general guidelines for XAI schemes, which we derived from our study. While some areas of XAI are well studied, we focus on uncertainty explanations and consider global explanations, which are often left out. We chose an algorithm that covers various concepts simultan…

A look at the impact of AI voice cloning on India's dubbing and voiceover sector, as artists demand consent, credit, and fair pay amid a lack of laws for AI use (Zico Ghosh/The Hollywood Reporter)
https://www.hollywoodreporter.com/movies/m

AI Is Replacing Voice Artists in India — and There Are No Local Laws to Stop It
As AI voice cloning in films becomes a reality, India’s dubbing artists are demanding consent, credit and fair pay: "You must understand that your voice is your intellectual property."

You can run the whole #HEY test suite in a bit over a minute.
Also @… provides a local #CI run DSL syntax now‽

Someone in the local Facebook group has posted an AI-generated image of Ozzy Osbourne, Hulk Hogan and Malcolm-Jamal Warner at the gates of heaven.
They've written "I will never forget horrible July 2025
Rest in peace 💙💙💙"
It has 171 Likes so far.
Boomers sure do love the AI slop.
And the idea that if there is a Heaven, Hogan would be going there.

How much of my children's future is AI going to burn up? That depends on how much we feed the hype beast. *That* is why "don't use AI at all without mentioning the drawbacks & a very good reason" is my stance (and I'm an AI researcher, technically).
Local models that run on your laptop: acceptable if produced by ethical means (including data sourcing & compensation for data filtering) & training costs are mitigated. Are such models way worse than the huge datacenter-scale models? Yes, for now. Deal with it.
ChatGPT, Claude, Copilot, even DeepSeek: get out. You're feeding the beast that is consuming my kids' future. Heck, even talking up these models or about how "everyone is using them so it's okay" or about "they're not going away" I'd feeding the beast even if you don't touch them.
I wish it weren't like this, because the capabilities of the big models are cool even once you cut past the hype.
#AI

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[5/5]:
- TANGO: Traversability-Aware Navigation with Local Metric Control for Topological Goals
Stefan Podgorski, Sourav Garg, Mehdi Hosseinzadeh, Lachlan Mares, Feras Dayoub, Ian Reid

Prompt-Guided Spatial Understanding with RGB-D Transformers for Fine-Grained Object Relation Reasoning
Tanner Muturi, Blessing Agyei Kyem, Joshua Kofi Asamoah, Neema Jakisa Owor, Richard Dyzinela, Andrews Danyo, Yaw Adu-Gyamfi, Armstrong Aboah
https://arxiv.org/abs/2510.11996

Prompt-Guided Spatial Understanding with RGB-D Transformers for Fine-Grained Object Relation Reasoning
Spatial reasoning in large-scale 3D environments such as warehouses remains a significant challenge for vision-language systems due to scene clutter, occlusions, and the need for precise spatial understanding. Existing models often struggle with generalization in such settings, as they rely heavily on local appearance and lack explicit spatial grounding. In this work, we introduce a dedicated spatial reasoning framework for the Physical AI Spatial Intelligence Warehouse dataset introduced in th…

Open WebUI: An Open, Extensible, and Usable Interface for AI Interaction
Jaeryang Baek, Ayana Hussain, Danny Liu, Nicholas Vincent, Lawrence H. Kim
https://arxiv.org/abs/2510.02546

Open WebUI: An Open, Extensible, and Usable Interface for AI Interaction
While LLMs enable a range of AI applications, interacting with multiple models and customizing workflows can be challenging, and existing LLM interfaces offer limited support for collaborative extension or real-world evaluation. In this work, we present an interface toolkit for LLMs designed to be open (open-source and local), extensible (plugin support and users can interact with multiple models), and usable. The extensibility is enabled through a two-pronged plugin architecture and a communit…

Spectral localization of single-nanoparticle plasmons through photonic substrate engineering
Shihao Feng, Juan-Feng Zhu, Xinyi Fan, Jindong Ai, Wenjie Zhou, Guangxin Liu, Jing-Feng Liu, Renming Liu, Wei Li, Lijun Guo, Lin Wu
https://arxiv.org/abs/2509.07699

Spectral localization of single-nanoparticle plasmons through photonic substrate engineering
Surface plasmon resonances (SPRs) are crucial for confining light beyond the diffraction limit, yet heavy metal losses often limit their spectral localization. Here, we propose a practical strategy for enabling the spectral localization of single-nanoparticle SPRs through photonic substrate engineering, which creates distinct optical pathways (OPs) to tailor the electromagnetic environments around plasmonic nanoparticles. By analyzing the multiplication factor spectrum of the projected local de…

Local newsletter company 6AM City acquires AI newsletter startup Good Daily, expanding 6AM subscribers from 1.4M to ~2M and footprint from 30 to 400 US cities (Mark Stenberg/Adweek)
https://www.adweek.com/media/6am-city-ai-newsletter-good-daily/

Newsletter Publisher 6AM City Buys AI Startup Good Daily to Expand to 400+ Markets
The tie-up turbocharges expansion, giving 6AM City nearly 2 million daily readers in over 400 markets

Beyond the Cloud: Assessing the Benefits and Drawbacks of Local LLM Deployment for Translators
Peter Sandrini
https://arxiv.org/abs/2507.23399 https://arxi…

Beyond the Cloud: Assessing the Benefits and Drawbacks of Local LLM Deployment for Translators
The rapid proliferation of Large Language Models presents both opportunities and challenges for the translation field. While commercial, cloud-based AI chatbots have garnered significant attention in translation studies, concerns regarding data privacy, security, and equitable access necessitate exploration of alternative deployment models. This paper investigates the feasibility and performance of locally deployable, free language models as a viable alternative to proprietary, cloud-based AI s…

🎵 #FFmpeg 8.0 integrates #Whisper for local audio transcription 🎵 #ai
🔧 Direct integration of #OpenAI

How developers are using Apple's local AI models in iOS 26: Lil Artist story generation, MoneyCoach's spending insights, F1 race summaries in Lights Out, more (Ivan Mehta/TechCrunch)
https://techcrunch.com/2025/09/26/how-developers-are-u…

How developers are using Apple's local AI models with iOS 26 | TechCrunch
As iOS 26 is rolling out to all users, developers have been updating their apps to include features powered by Apple's local AI models.

Power Stabilization for AI Training Datacenters
Esha Choukse, Brijesh Warrier, Scot Heath, Luz Belmont, April Zhao, Hassan Ali Khan, Brian Harry, Matthew Kappel, Russell J. Hewett, Kushal Datta, Yu Pei, Caroline Lichtenberger, John Siegler, David Lukofsky, Zaid Kahn, Gurpreet Sahota, Andy Sullivan, Charles Frederick, Hien Thai, Rebecca Naughton, Daniel Jurnove, Justin Harp, Reid Carper, Nithish Mahalingam, Srini Varkala, Alok Gautam Kumbhare, Satyajit Desai, Venkatesh Ramamurthy, Prane…

Power Stabilization for AI Training Datacenters
Large Artificial Intelligence (AI) training workloads spanning several tens of thousands of GPUs present unique power management challenges. These arise due to the high variability in power consumption during the training. Given the synchronous nature of these jobs, during every iteration there is a computation-heavy phase, where each GPU works on the local data, and a communication-heavy phase where all the GPUs synchronize on the data. Because compute-heavy phases require much more power than…

AdapSCA-PSO: An Adaptive Localization Algorithm with AI-Based Hybrid SCA-PSO for IoT WSNs
Ze Zhang, Qian Dong, Wenhan Wang
https://arxiv.org/abs/2507.22317 https://

AdapSCA-PSO: An Adaptive Localization Algorithm with AI-Based Hybrid SCA-PSO for IoT WSNs
The accurate localization of sensor nodes is a fundamental requirement for the practical application of the Internet of Things (IoT). To enable robust localization across diverse environments, this paper proposes a hybrid meta-heuristic localization algorithm. Specifically, the algorithm integrates the Sine Cosine Algorithm (SCA), which is effective in global search, with Particle Swarm Optimization (PSO), which excels at local search. An adaptive switching module is introduced to dynamically s…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[6/6]:
- Autonomy-Aware Clustering: When Local Decisions Supersede Global Prescriptions
Amber Srivastava, Salar Basiri, Srinivasa Salapaka

Transformer-Based Explainable Deep Learning for Breast Cancer Detection in Mammography: The MammoFormer Framework
Ojonugwa Oluwafemi Ejiga Peter, Daniel Emakporuena, Bamidele Dayo Tunde, Maryam Abdulkarim, Abdullahi Bn Umar
https://arxiv.org/abs/2508.06137

Transformer-Based Explainable Deep Learning for Breast Cancer Detection in Mammography: The MammoFormer Framework
Breast cancer detection through mammography interpretation remains difficult because of the minimal nature of abnormalities that experts need to identify alongside the variable interpretations between readers. The potential of CNNs for medical image analysis faces two limitations: they fail to process both local information and wide contextual data adequately, and do not provide explainable AI (XAI) operations that doctors need to accept them in clinics. The researcher developed the MammoFormer…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/6]:
- MM-PoisonRAG: Disrupting Multimodal RAG with Local and Global Poisoning Attacks
Ha, Zhan, Kim, Bralios, Sanniboina, Peng, Chang, Kang, Ji

Casca, which offers AI-powered tools for banks to accelerate loan application and origination processes, raised a $29M Series A led by Canapi Ventures (Mike Wheatley/SiliconANGLE)
https://siliconangle.com/2025/08/19/casca-gets-29m-bring-a…

Casca gets $29M to bring AI-native loan origination tech to local banks - SiliconANGLE
Casca gets $29M to bring AI-native loan origination tech to local banks - SiliconANGLE

Optimal Transceiver Design in Over-the-Air Federated Distillation
Zihao Hu (The Chinese University of Hong Kong), Jia Yan (The Hong Kong University of Science and Technology), Ying-Jun Angela Zhang (The Chinese University of Hong Kong), Jun Zhang (The Hong Kong University of Science and Technology), Khaled B. Letaief (The Hong Kong University of Science and Technology)

Optimal Transceiver Design in Over-the-Air Federated Distillation
The rapid proliferation and growth of artificial intelligence (AI) has led to the development of federated learning (FL). FL allows wireless devices (WDs) to cooperatively learn by sharing only local model parameters, without needing to share the entire dataset. However, the emergence of large AI models has made existing FL approaches inefficient, due to the significant communication overhead required. In this paper, we propose a novel over-the-air federated distillation (FD) framework by syner…

Alibaba says its mapping app Amap's destination ranking feature hit 400M users since its launch in September; Amap had a record 360M daily users on October 1 (Xinmei Shen/South China Morning Post)
https://www.scmp.com/tech/tech-trend…

Alibaba’s Amap AI feature an instant hit with 400 million users since launch
As of June, Amap had 895.5 million monthly active users, making it the fourth biggest mobile app in China by that measure.

Say More with Less: Variable-Frame-Rate Speech Tokenization via Adaptive Clustering and Implicit Duration Coding
Rui-Chen Zheng, Wenrui Liu, Hui-Peng Du, Qinglin Zhang, Chong Deng, Qian Chen, Wen Wang, Yang Ai, Zhen-Hua Ling
https://arxiv.org/abs/2509.04685

Say More with Less: Variable-Frame-Rate Speech Tokenization via Adaptive Clustering and Implicit Duration Coding
Existing speech tokenizers typically assign a fixed number of tokens per second, regardless of the varying information density or temporal fluctuations in the speech signal. This uniform token allocation mismatches the intrinsic structure of speech, where information is distributed unevenly over time. To address this, we propose VARSTok, a VAriable-frame-Rate Speech Tokenizer that adapts token allocation based on local feature similarity. VARSTok introduces two key innovations: (1) a temporal-a…

Efficient Vocal-Conditioned Music Generation via Soft Alignment Attention and Latent Diffusion
Hei Shing Cheung, Boya Zhang
https://arxiv.org/abs/2507.19991 https://

Efficient Vocal-Conditioned Music Generation via Soft Alignment Attention and Latent Diffusion
We present a lightweight latent diffusion model for vocal-conditioned musical accompaniment generation that addresses critical limitations in existing music AI systems. Our approach introduces a novel soft alignment attention mechanism that adaptively combines local and global temporal dependencies based on diffusion timesteps, enabling efficient capture of multi- scale musical structure. Operating in the compressed latent space of a pre-trained variational autoencoder, the model achieves a 220…

Hot-Swap MarkBoard: An Efficient Black-box Watermarking Approach for Large-scale Model Distribution
Zhicheng Zhang, Peizhuo Lv, Mengke Wan, Jiang Fang, Diandian Guo, Yezeng Chen, Yinlong Liu, Wei Ma, Jiyan Sun, Liru Geng
https://arxiv.org/abs/2507.20650

Hot-Swap MarkBoard: An Efficient Black-box Watermarking Approach for Large-scale Model Distribution
Recently, Deep Learning (DL) models have been increasingly deployed on end-user devices as On-Device AI, offering improved efficiency and privacy. However, this deployment trend poses more serious Intellectual Property (IP) risks, as models are distributed on numerous local devices, making them vulnerable to theft and redistribution. Most existing ownership protection solutions (e.g., backdoor-based watermarking) are designed for cloud-based AI-as-a-Service (AIaaS) and are not directly applicab…

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[9/17]:
- Distilling Reasoning into Student LLMs: Local Naturalness for Selecting Teacher Data
Hoang Anh Just, Myeongseob Ko, Ruoxi Jia

London-based "neocloud" startup Nscale closed a $433M pre-Series C SAFE round from Nvidia, Nokia, Dell, and others, after raising a $1.1B Series B on Sept. 25 (John Reynolds/Tech.eu)
https://tech.eu/2025/10/01/nscale-closes-433m-round-days-after…

Nscale closes $433M round, days after bagging $1.1BN funding
Nscale, the UK-based AI data centre startup, has closed a $433 million funding round, just days after bagging a $1.1 billion funding round, as the vast investment in AI infrastructure shows no signs of abating.Nscale, which pitches itself as a "hyperscaler engineered for AI", was named as a key local AI infrastructure partner for OpenAI, Microsoft and Nvidia, which announced significant investments into the UK AI ecosystem last week, coinciding with the visit of President Trump.The latest $433m…

\textit{FedABC}: Attention-Based Client Selection for Federated Learning with Long-Term View
Wenxuan Ye, Xueli An, Junfan Wang, Xueqiang Yan, Georg Carle
https://arxiv.org/abs/2507.20871

\textit{FedABC}: Attention-Based Client Selection for Federated Learning with Long-Term View
Native AI support is a key objective in the evolution of 6G networks, with Federated Learning (FL) emerging as a promising paradigm. FL allows decentralized clients to collaboratively train an AI model without directly sharing their data, preserving privacy. Clients train local models on private data and share model updates, which a central server aggregates to refine the global model and redistribute it for the next iteration. However, client data heterogeneity slows convergence and reduces mo…

A profile of Egune AI, a startup building LLMs for the Mongolian language, as it navigates geopolitics, a lack of resources, and the nascent local tech scene (Viola Zhou/Rest of World)
https://restofworld.org/2025/mongolia-egune-ai-llm/

The Mongolian startup defying Big Tech with its own LLM
Egune is one of several linguistically and culturally aware AI models built by smaller nations to reduce reliance on American and Chinese tech giants.

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[10/11]:
- Learning local and global prototypes with optimal transport for unsupervised anomaly detection an...
Robin Trombetta, Carole Lartizien

Holo-Artisan: A Personalized Multi-User Holographic Experience for Virtual Museums on the Edge Intelligence
Nan-Hong Kuo, Hojjat Baghban
https://arxiv.org/abs/2508.14956 https:/…

Holo-Artisan: A Personalized Multi-User Holographic Experience for Virtual Museums on the Edge Intelligence
We present Holo-Artisan, a novel system architecture enabling immersive multi-user experiences in virtual museums through true holographic displays and personalized edge intelligence. In our design, local edge computing nodes process real-time user data -- including pose, facial expression, and voice -- for multiple visitors concurrently. Generative AI models then drive digital artworks (e.g., a volumetric Mona Lisa) to respond uniquely to each viewer. For instance, the Mona Lisa can return a s…

Xpheno: Meta, Amazon, Apple, Microsoft, Netflix, Google, and their affiliates grew their combined India headcount by 16% over the past year, adding 28K jobs (Himanshi Lohchab/The Economic Times)
https://economictimes.in…

Big Tech continues to hire in India even as local majors downsize
Despite global layoffs, FAAMNG companies are expanding their India headcount, growing by 16% in the past year, driven by demand for AI, cloud, and cybersecurity skills. While Indian IT firms face workforce reductions due to skills mismatch, Big Tech's India-based global capability centers are increasing hiring for high-end work and innovation.

Ensemble Debates with Local Large Language Models for AI Alignment
Ephraiem Sarabamoun
https://arxiv.org/abs/2509.00091 https://arxiv.org/pdf/2509.00091

Ensemble Debates with Local Large Language Models for AI Alignment
As large language models (LLMs) take on greater roles in high-stakes decisions, alignment with human values is essential. Reliance on proprietary APIs limits reproducibility and broad participation. We study whether local open-source ensemble debates can improve alignmentoriented reasoning. Across 150 debates spanning 15 scenarios and five ensemble configurations, ensembles outperform single-model baselines on a 7-point rubric (overall: 3.48 vs. 3.13), with the largest gains in reasoning depth …

PyramidStyler: Transformer-Based Neural Style Transfer with Pyramidal Positional Encoding and Reinforcement Learning
Raahul Krishna Durairaju (California State University, Fullerton), K. Saruladha (Puducherry Technological University)
https://arxiv.org/abs/2510.01715

PyramidStyler: Transformer-Based Neural Style Transfer with Pyramidal Positional Encoding and Reinforcement Learning
Neural Style Transfer (NST) has evolved from Gatys et al.'s (2015) CNN-based algorithm, enabling AI-driven artistic image synthesis. However, existing CNN and transformer-based models struggle to scale efficiently to complex styles and high-resolution inputs. We introduce PyramidStyler, a transformer framework with Pyramidal Positional Encoding (PPE): a hierarchical, multi-scale encoding that captures both local details and global context while reducing computational load. We further incorporat…

MaskSQL: Safeguarding Privacy for LLM-Based Text-to-SQL via Abstraction
Sepideh Abedini (University of Waterloo, Vector Institute), Shubhankar Mohapatra (University of Waterloo), D. B. Emerson (Vector Institute), Masoumeh Shafieinejad (Vector Institute), Jesse C. Cresswell (Layer 6 AI), Xi He (University of Waterloo, Vector Institute)
https://

MaskSQL: Safeguarding Privacy for LLM-Based Text-to-SQL via Abstraction
Large language models (LLMs) have shown promising performance on tasks that require reasoning, such as text-to-SQL, code generation, and debugging. However, regulatory frameworks with strict privacy requirements constrain their integration into sensitive systems. State-of-the-art LLMs are also proprietary, costly, and resource-intensive, making local deployment impractical. Consequently, utilizing such LLMs often requires sharing data with third-party providers, raising privacy concerns and ris…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[13/17]:
- CoSteer: Collaborative Decoding-Time Personalization via Local Delta Steering
Hang Lv, Sheng Liang, Hao Wang, Hongchao Gu, Yaxiong Wu, Wei Guo, Defu Lian, Yong Liu, Enhong Chen

China says it will prevent excess competition in the AI sector, echoing Xi Jinping's caution against excessive local government investment in AI last month (Bloomberg)
https://www.bloomberg.com/news/articles/2025-08-29/chin…

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/6]:
- Assessing local deformation and computing scalar curvature with nonlinear conformal regularizatio...
Benjamin Cou\'eraud, Vikram Sunkara, Christof Sch\"utte

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[7/8]:
- Grid-LOGAT: Grid Based Local and Global Area Transcription for Video Question Answering
Chowdhury, Aukkapinyo, Fujimura, Woo, Wasusatein, Ghourabi

How a Microsoft-backed $1B geothermal-powered data center in Kenya faced construction delays due to uncertainty over its value for local businesses (Semafor)
https://www.semafor.com/article/09/22/2025/kenya-us-china-tech-war-ai-data-center

Africa’s forgotten battleground in the US-China tech war
A Kenyan data center stalls, raising questions about the ability of the US to compete with China in Africa.

Alibaba releases its new Qwen3-235B-A22B-Instruct-2507 model on Hugging Face, improving on Qwen 3's reasoning, accuracy, and multilingual understanding (Carl Franzen/VentureBeat)
https://venturebeat.com/ai/alibabas-new…

Chinese stocks rally on August 22, driven by gains in local chipmakers Cambricon and Hygon, after Nvidia reportedly halts the production for its H20 chips (Bloomberg)
https://www.bloomberg.com/news/articles/2025-08-22/china-s…