Tootfinder

Waaaaas? Eeeeecht? Na so eine Überrschung. 🤪
Plug-in-#Hybride stoßen laut aktuellen EU-Daten im Realbetrieb rund fünfmal so viel CO₂ aus wie offiziell angegeben.
Im Schnitt liegt der Ausstoß bei 139 g/km – ähnlich wie bei reinen #Verbrenner​n. Grund ist die häufige Nutzung des

Fünffach überhöhte Werte für Benzin und CO₂: Plug-in-Hybride laufen offenbar verstärkt im Verbrennerbetrieb
Fünfmal so viel Sprit wie angegeben tanken offenbar Autos, die wahlweise auch Strom laden können. Bordmessgeräte übermittelten von Europas Straßen eine wachsende Kluft zwischen Anspruch und CO₂-intensiver Realität.

On the LIME Energy Saving Plug: Review (2011) - Read how this simple helpful gadget chopped the watts to save cash and carbon! #smartPlug #frugal #cutCarbon -

On the LIME Energy Saving Plug: Review (2011)
Read how this simple helpful gadget chopped the watts to save cash and carbon! #smartPlug #frugal #cutCarbon

Memory Decoder: A Pretrained, Plug-and-Play Memory for Large Language Models
Jiaqi Cao, Jiarui Wang, Rubin Wei, Qipeng Guo, Kai Chen, Bowen Zhou, Zhouhan Lin
https://arxiv.org/abs/2508.09874

Memory Decoder: A Pretrained, Plug-and-Play Memory for Large Language Models
Large Language Models (LLMs) have shown strong abilities in general language tasks, yet adapting them to specific domains remains a challenge. Current method like Domain Adaptive Pretraining (DAPT) requires costly full-parameter training and suffers from catastrophic forgetting. Meanwhile, Retrieval-Augmented Generation (RAG) introduces substantial inference latency due to expensive nearest-neighbor searches and longer context. This paper introduces Memory Decoder, a plug-and-play pretrained me…

iZotope Ozone 12 review: just for mastering? https://musictech.com/reviews/plug-ins/izotope-ozone-12-review/

iZotope Ozone 12’s AI assistant is cool, but the Stem EQ is the real star
With innovative mastering-grade processors and AI assistant aids without interfering, could iZotope Ozone 12 be the perfect tool?

LLMC : Benchmarking Vision-Language Model Compression with a Plug-and-play Toolkit
Chengtao Lv, Bilang Zhang, Yang Yong, Ruihao Gong, Yushi Huang, Shiqiao Gu, Jiajun Wu, Yumeng Shi, Jinyang Guo, Wenya Wang
https://arxiv.org/abs/2508.09981

LLMC+: Benchmarking Vision-Language Model Compression with a Plug-and-play Toolkit
Large Vision-Language Models (VLMs) exhibit impressive multi-modal capabilities but suffer from prohibitive computational and memory demands, due to their long visual token sequences and massive parameter sizes. To address these issues, recent works have proposed training-free compression methods. However, existing efforts often suffer from three major limitations: (1) Current approaches do not decompose techniques into comparable modules, hindering fair evaluation across spatial and temporal r…

added a WebUSB platform device capability descriptor to #GlasgowInterfaceExplorer so now it pops up a prompt like this if you plug it in and Chrome is running

Whoa - it’s been running as a business this whole time? I thought they pulled the plug 30 yrs ago.
https://apple.news/A8NuSgkX9SmmdRqGsUOkAWg

AOL will pull the plug on dial-up internet, '90s nostalgia ensues — Mashable
Perfect day for a "You've Got Mail" rewatch.

#FIRSTCON25 TLP:CLEAR sessions are now available for viewing. Shameless plug for my New ASNs talk included. Full play list: https://www.youtube.com/playlist?list=PLBAUUhO…

Okay, Spinrite wont boot off of my JetKVM and won't boot off of a thumb drive. I think that it is safe to say that I need to pull all of the drives out of my home server and plug them into a donor computer. From there, I should be able to scan and ideally repair them, but I also hopped on eBay to try to find a replacement hard drive of the same type and size.

Adobe Premiere Pro: neue Effekte, Übergänge und Animationen
Die Videobearbeitung Adobe Premiere Pro enthält künftig die GPU-beschleunigten Effekte der früher als Plug-in-Sammlung verfügbaren Software Film Impact.

Plug-and-play Diffusion Models for Image Compressive Sensing with Data Consistency Projection
Xiaodong Wang, Ping Wang, Zhangyuan Li, Xin Yuan
https://arxiv.org/abs/2509.09365 h…

Plug-and-play Diffusion Models for Image Compressive Sensing with Data Consistency Projection
We explore the connection between Plug-and-Play (PnP) methods and Denoising Diffusion Implicit Models (DDIM) for solving ill-posed inverse problems, with a focus on single-pixel imaging. We begin by identifying key distinctions between PnP and diffusion models-particularly in their denoising mechanisms and sampling procedures. By decoupling the diffusion process into three interpretable stages: denoising, data consistency enforcement, and sampling, we provide a unified framework that integrates…

Brian Schottenheimer strongly hints at DaRon Bland replacement for Cowboys in Week 2 https://www.si.com/nfl/cowboys/news/brian-schottenheimer-strongly-hints-daron-bland-replacement-dallas-cowboys-nfl-week-2

Investigating the Impact of Rational Dilated Wavelet Transform on Motor Imagery EEG Decoding with Deep Learning Models
Marco Siino, Giuseppe Bonomo, Rosario Sorbello, Ilenia Tinnirello
https://arxiv.org/abs/2510.09242

Investigating the Impact of Rational Dilated Wavelet Transform on Motor Imagery EEG Decoding with Deep Learning Models
The present study investigates the impact of the Rational Discrete Wavelet Transform (RDWT), used as a plug-in preprocessing step for motor imagery electroencephalographic (EEG) decoding prior to applying deep learning classifiers. A systematic paired evaluation (with/without RDWT) is conducted on four state-of-the-art deep learning architectures: EEGNet, ShallowConvNet, MBEEG\_SENet, and EEGTCNet. This evaluation was carried out across three benchmark datasets: High Gamma, BCI-IV-2a, and BCI-I…

You know if you want to gatekeep and cosplay HOA on Mastodon, just make your own server and then pull the Ethernet plug

Do you have any projects that have stalled out? Could you use some prompts to help break them down into smaller pieces?
Now in TestFlight, OmniFocus 4.8 plug-ins can consult Apple's new on-device Foundation Models. These AI models are built into your device, so you’re not sending any data to any other systems, nor are you using any expensive outside resources—you’re just using more capabilities of the device that’s already at your fingertips.

Yes, at German discount supermarkets, you can purchase a do-it-yourself 'Balkonsolar' system and battery. Simply plug it in and you're ready to go.
However, Aldi Australia offers complete systems: 6 kW solar, a 5.5 kW inverter and a 10 kWh LFP battery, fully installed for AU$7,000 (€4,000)!

Supermarket giant expands rooftop solar and battery offer
Budget supermarket chain Aldi is expanding its residential solar business, opening up sales of its rooftop PV and battery energy storage packages to customers in Australia’s eastern states after a trial in Victoria.

The Boiling-Frog Problem of Physics Education
Gerd Kortemeyer
https://arxiv.org/abs/2508.08842 https://arxiv.org/pdf/2508.08842

The Boiling-Frog Problem of Physics Education
It is astonishing how rapidly general-purpose AI has crossed familiar thresholds in introductory physics. Comparing outputs from successive models, GPT-5 Thinking moves far beyond the plug-and-chug tendencies seen earlier: on a classic elevator problem it works symbolically, notes when variables cancel, and verifies results; attempts to prompt novice-like behavior mainly affect tone, not method. On representation translation, the model scores 24/26 (92.3%) on TUG-Kv4.0. In a card-sorting proxy …

Fault Tolerant Multi-Agent Learning with Adversarial Budget Constraints
David Mguni, Yaqi Sun, Haojun Chen, Amir Darabi, Larry Olanrewaju Orimoloye, Yaodong Yang
https://arxiv.org/abs/2508.08800

Fault Tolerant Multi-Agent Learning with Adversarial Budget Constraints
In multi-agent systems, the safe and reliable execution of tasks often depends on agents correctly coordinating their actions. However, in real-world deployments, failures of computational components are inevitable, presenting a critical challenge: ensuring that multi-agent reinforcement learning (MARL) policies remain effective even when some agents malfunction. We propose the Multi-Agent Robust Training Algorithm (MARTA), a plug-and-play framework for training MARL agents to be resilient to p…

heise | Wie man die besten KI-Bildmodelle via Plug-in direkt in Photoshop einsetzt
Photoshop-Plug-ins vereinen Profi-Software mit den besten KI-Bildmodellen. So bearbeiten Sie realistische Bilder mit Seedream 4.0 und Gemini 2.5 Flash Image.

Ja ENDLICH! Wer braucht PHEVs?
https://www.heise.de/hintergrund/Plug-in-Hybride-Das-Ende-naht-10624002.html

Plug-in-Hybride: Das Ende naht
Ohne die multiple staatliche Fehlsteuerung wären die Plug-in-Hybride längst Geschichte. Doch ein Ende des aktuellen Zwischenhochs ist absehbar.

CLIPin: A Non-contrastive Plug-in to CLIP for Multimodal Semantic Alignment
Shengzhu Yang, Jiawei Du, Shuai Lu, Weihang Zhang, Ningli Wang, Huiqi Li
https://arxiv.org/abs/2508.06434

CLIPin: A Non-contrastive Plug-in to CLIP for Multimodal Semantic Alignment
Large-scale natural image-text datasets, especially those automatically collected from the web, often suffer from loose semantic alignment due to weak supervision, while medical datasets tend to have high cross-modal correlation but low content diversity. These properties pose a common challenge for contrastive language-image pretraining (CLIP): they hinder the model's ability to learn robust and generalizable representations. In this work, we propose CLIPin, a unified non-contrastive plug-in t…

🇺🇦 #NowPlaying on KEXP's #VarietyMix
open mike eagle:
🎵 Contraband
#openmikeeagle
https://openmikeeagle.bandcamp.com/track/contraband-the-plug-has-bags-of-me
https://open.spotify.com/track/2KRZKArahBmvGWxu9HA2bz
Please 🔁 BOOST to share what you like
- your followers don't see if you ⭐ favourite a post

Africa calls for more support for green economy at climate summit. Rich countries urged to increase funding for adaptation to prevent future climate impacts. #climatechange #climatesolutions #climate

The Shameless Plug With Saul Griffith
Great Australian Pods Podcast Directory: #GreatAusPods

On the LIME Energy Saving Plug: Review (2011) - Read how this simple helpful gadget chopped the watts to save cash and carbon! #smartPlug #frugal #cutCarbon -

On the LIME Energy Saving Plug: Review (2011)
Read how this simple helpful gadget chopped the watts to save cash and carbon! #smartPlug #frugal #cutCarbon

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[3/5]:
- PnP-Flow: Plug-and-Play Image Restoration with Flow Matching
S\'egol\`ene Martin, Anne Gagneux, Paul Hagemann, Gabriele Steidl

Viscosity Stabilized Plug-and-Play Reconstruction
Arghya Sinha, Trishit Mukherjee, Kunal N. Chaudhury
https://arxiv.org/abs/2508.01441 https://arxiv.org/pd…

Viscosity Stabilized Plug-and-Play Reconstruction
The plug-and-play (PnP) method uses a deep denoiser within a proximal algorithm for model-based image reconstruction (IR). Unlike end-to-end IR, PnP allows the same pretrained denoiser to be used across different imaging tasks, without the need for retraining. However, black-box networks can make the iterative process in PnP unstable. A common issue observed across architectures like CNNs, diffusion models, and transformers is that the visual quality and PSNR often improve initially but then de…

"America’s biggest offshore wind farm will be online in six months"
#US #USA #America #WindTurbines

America’s biggest offshore wind farm will be online in six months
Dominion Energy’s 2.6 GW project off Virginia’s coast is progressing fast. The utility has a new, more definitive target to plug into the grid: March 2026.

ARMs: Adaptive Red-Teaming Agent against Multimodal Models with Plug-and-Play Attacks
Zhaorun Chen, Xun Liu, Mintong Kang, Jiawei Zhang, Minzhou Pan, Shuang Yang, Bo Li
https://arxiv.org/abs/2510.02677

ARMs: Adaptive Red-Teaming Agent against Multimodal Models with Plug-and-Play Attacks
As vision-language models (VLMs) gain prominence, their multimodal interfaces also introduce new safety vulnerabilities, making the safety evaluation challenging and critical. Existing red-teaming efforts are either restricted to a narrow set of adversarial patterns or depend heavily on manual engineering, lacking scalable exploration of emerging real-world VLM vulnerabilities. To bridge this gap, we propose ARMs, an adaptive red-teaming agent that systematically conducts comprehensive risk ass…

Plug-and-Play Latent Diffusion for Electromagnetic Inverse Scattering with Application to Brain Imaging
Rui Guo, Yi Zhang, Yhonatan Kvich, Tianyao Huang, Maokun Li, Yonina C. Eldar
https://arxiv.org/abs/2509.04860

Plug-and-Play Latent Diffusion for Electromagnetic Inverse Scattering with Application to Brain Imaging
Electromagnetic (EM) imaging is an important tool for non-invasive sensing with low-cost and portable devices. One emerging application is EM stroke imaging, which enables early diagnosis and continuous monitoring of brain strokes. Quantitative imaging is achieved by solving an inverse scattering problem (ISP) that reconstructs permittivity and conductivity maps from measurements. In general, the reconstruction accuracy is limited by its inherent nonlinearity and ill-posedness. Existing methods…

@… put a Shelly Plug on it to power cycle it?

Lots of channels cut into the walls ready to be wired and have new plug sockets added.
The existing plug socket's back-boxes are apparently stuck or important for the wiring or something so can't be removed. Can't just expand those holes to have 2-gang sockets in their place. I'm told that we'll have to put a blank face plate on them and add the new 2-gang sockets above instead of to replace the existing ones. Won't really matter at all, they'll be behind the drawers or inside the sideboard cupboard anyway.

Yes, at German discount supermarkets, you can purchase a do-it-yourself 'Balkonsolar' system and battery. Simply plug it in and you're ready to go.
However, Aldi Australia offers complete systems: 6 kW solar, a 5.5 kW inverter and a 10 kWh LFP battery, fully installed for AU$7,000 (€4,000)!

Why do people link to comicsands.com? It is a website that is has more trackers than a golden stag on opening day of the hunting season.
My "privacy badger" and Ublock Origin plug-ins turn bright red should I visit that web site.

I have a new phone with a mahoosive carbon silicon battery. Now I’m trying to break the compulsion of charging it every night.
The battery is at 89%, and I'm wondering if I should plug it in, just in case the apocalypse hits before lunch.
It's hard to believe that I spent nearly half my life without a smartphone.
#tech

Kostenlose eVignete für e-Autos in CZ
Wenn man mit dem Auto nach CZ fährt, braucht man eine eVignete.
Diesel/Benzin kostet voll, Biomethan & Erdgas weniger als die Hälfte, Plug-In Hybrid weniger als ¼ des Preises.
Und Wasserstoff- & e-Autos zahlen gar nichts.
Wow. Einfach nur wow.
Eat this Andi Scheuer
#eauto

Israeli startup Sola, which develops AI-based low-code cybersecurity tools, raised a $35M Series A led by S32 and says it has ~2,000 customers (Resilience Media)
https://www.resiliencemedia.co/p/sola-raises-35m-to-ramp-up-its-ai

Sola Raises $35M to Ramp Up Its AI-based Cybersecurity Tooling
Building a 'Stripe for security', the Israeli startup aims to plug the many gaps and extra work created by existing cybersecurity apps

MoTo: A Zero-shot Plug-in Interaction-aware Navigation for General Mobile Manipulation
Zhenyu Wu, Angyuan Ma, Xiuwei Xu, Hang Yin, Yinan Liang, Ziwei Wang, Jiwen Lu, Haibin Yan
https://arxiv.org/abs/2509.01658

MoTo: A Zero-shot Plug-in Interaction-aware Navigation for General Mobile Manipulation
Mobile manipulation stands as a core challenge in robotics, enabling robots to assist humans across varied tasks and dynamic daily environments. Conventional mobile manipulation approaches often struggle to generalize across different tasks and environments due to the lack of large-scale training. However, recent advances in manipulation foundation models demonstrate impressive generalization capability on a wide range of fixed-base manipulation tasks, which are still limited to a fixed setting…

Found a practical use for AI. When I write research papers I want all my references in Zotero and not just in the text. But if I upload my manuscript to CoPilot (usually sucks at most things) it can return the doi for most articles i cite and ISBN for most books. Then I only have to copy the doi into Zotero and add the reference. Practical if you only have articles as print outs (there is a browser plug in when showing an article in the browser, but not for print outs). Tip of the day and th…

Ein paar Tricks, die mittlerweile zwischen Android und Linux echt leicht funktionieren (wenn man testen oder präsentieren will), darunter auch Bedienung mit Maus und Tastatur. Und Internet ohne Wifi (reverse tethering):
1. Android über Ethernet ins Internet verbinden mit USB-C-Ethernet-Adapter, z.B.
https://www.ebay.de/itm/3656612918…

@… @…
And who can pull the plug 🔌

I've been raking through my technology drawer looking for an old fairphone that wasn't there. But I found several things I'd completely forgotten, including these!

A Plug-and-Play Multi-Criteria Guidance for Diverse In-Betweening Human Motion Generation
Hua Yu, Jiao Liu, Xu Gui, Melvin Wong, Yaqing Hou, Yew-Soon Ong
https://arxiv.org/abs/2508.01590

A Plug-and-Play Multi-Criteria Guidance for Diverse In-Betweening Human Motion Generation
In-betweening human motion generation aims to synthesize intermediate motions that transition between user-specified keyframes. In addition to maintaining smooth transitions, a crucial requirement of this task is to generate diverse motion sequences. It is still challenging to maintain diversity, particularly when it is necessary for the motions within a generated batch sampling to differ meaningfully from one another due to complex motion dynamics. In this paper, we propose a novel method, ter…

On the LIME Energy Saving Plug: Review (2011) - Read how this simple helpful gadget chopped the watts to save cash and carbon! #smartPlug #frugal #cutCarbon -

On the LIME Energy Saving Plug: Review (2011)
Read how this simple helpful gadget chopped the watts to save cash and carbon! #smartPlug #frugal #cutCarbon

Inference in pseudo-observation-based regression using (biased) covariance estimation and naive bootstrapping
Simon Mack, Morten Overgaard, Dennis Dobler
https://arxiv.org/abs/2510.06815

Inference in pseudo-observation-based regression using (biased) covariance estimation and naive bootstrapping
We demonstrate that the usual Huber-White estimator is not consistent for the limiting covariance of parameter estimates in pseudo-observation regression approaches. By confirming that a plug-in estimator can be used instead, we obtain asymptotically exact and consistent tests for general linear hypotheses in the parameters of the model. Additionally, we confirm that naive bootstrapping can not be used for covariance estimation in the pseudo-observation model either. However, it can be used for…

Netflix cancels Queers ultimatum.
On one hand this show was absolutely insane, real shit show. So I get it.
But, it comes with lots of cancellations and pressure against Queer culture in the US, so the timing is suspect.
https://www.autostraddle.com/ultimatum-que

In the closing words of BBCR4Today, Amol Rajan gave a bare-faced plug to James Orr and ReformUK. This was an egregious breach of BBC impartiality rules.
Listen from 2:52:10. or, skip the appalling James Orr and listen to Rajan's cock-up at 2:58:00
https://www.bbc.co.uk/sounds/play/m002gg6s…

Today - 31/07/2025 - BBC Sounds
News and current affairs, including Sports Desk, Weather and Thought for the Day.

FMPlug: Plug-In Foundation Flow-Matching Priors for Inverse Problems
Yuxiang Wan, Ryan Devera, Wenjie Zhang, Ju Sun
https://arxiv.org/abs/2508.00721 https://

FMPlug: Plug-In Foundation Flow-Matching Priors for Inverse Problems
We present FMPlug, a novel plug-in framework that enhances foundation flow-matching (FM) priors for solving ill-posed inverse problems. Unlike traditional approaches that rely on domain-specific or untrained priors, FMPlug smartly leverages two simple but powerful insights: the similarity between observed and desired objects and the Gaussianity of generative flows. By introducing a time-adaptive warm-up strategy and sharp Gaussianity regularization, FMPlug unlocks the true potential of domain-a…

"Ask any developer working on Cloud, Mobile, or Web apps whether they would consider Windows a viable choice for their work, and their gasp would be heard from the Pitcairn Islands. And let us not even start talking about LLMs, AI, or other golden nuggets in vogue these days."
https://

Why Wait For The Best When I Could Have You?
Billions of people in this planet instinctively associate the concept of "operating system" to Microsoft Windows by antonomasia. Through perhaps resignation, corporate coercion, laziness, or just sheer ignorance, most cannot fathom a world in which laptops do not boot without a "Start" menu or do not randomly display a Blue Screen of Death every time they plug a new device.

Robustness and Invariance of Hybrid Metaheuristics under Objective Function Transformations
Grzegorz Sroka, S{\l}awomir T. Wierzcho\'n
https://arxiv.org/abs/2509.05445 https…

Robustness and Invariance of Hybrid Metaheuristics under Objective Function Transformations
This paper evaluates the robustness and structural invariance of hybrid population-based metaheuristics under various objective space transformations. A lightweight plug-and-play hybridization operator is applied to nineteen state-of-the-art algorithms-including differential evolution (DE), particle swarm optimization (PSO), and recent bio-inspired methods-without modifying their internal logic. Benchmarking on the CEC-2017 suite across four dimensions (10, 30, 50, 100) is performed under five …

Plug and Play Splitting Techniques for Poisson Image Restoration
Alessandro Benfenati
https://arxiv.org/abs/2507.19378 https://arxiv.org/pdf/2507.19378

Plug and Play Splitting Techniques for Poisson Image Restoration
Plug and Play (PnP) methods achieve remarkable results in the framework of image restoration problems for Gaussian data. Nonetheless, the theory available for the Gaussian case cannot be extended to the Poisson case, due to the non-Lipschitz gradient of the fidelity function, the Kullback-Leibler functional, or the absence of closed-form solution for the proximal operator of such term, leading to employ iterative solvers for the inner subproblem. In this work we extend the idea of PIDSplit+ alg…

African leaders push for green economy growth at Africa Climate Summit, calling for increased support from rich countries to address energy challenges and boost renewable energy development. #climatechange #climatesolutions

A very nice wine ( not whine) bar
A shameless plug for #Waystone on Powell in #SanFrancisco

A very nice wine ( not whine) bar
A shameless plug for #Waystone on Powell in #SanFrancisco

Total number of fossil fuel cars in the Netherlands now starting to go down, but including plug-in hybrids it's still slightly increasing. We need a lot more EV sales to really make a dent.
Or, better still, less cars thanks to cycling, public transport, and car sharing.
https://mastodon.social…

Datagraver.com (@Datagraver@mastodon.social)
Attached: 1 image Aantal geregistreerde personenauto's in Nederland naar brandstofsoort, vanaf 2000.

Freitag: Wikipedia-Untersuchung auf Manipulation, Copilot für Samsungs Smart-TVs
Republikaner gegen Wikipedia Samsung-TVs mit Microsoft-KI Quantenobjekte im aktuellen Internet Ende von Plug-in-Hybriden Verbraucherschutz-Podcast

Google adds a new command-line interface and public API to its AI coding agent Jules, allowing it to plug into terminals, CI/CD systems, and tools like Slack (Jagmeet Singh/TechCrunch)
https://techcrunch.com/2025/10/02/goog

Google's Jules enters developers' toolchains as AI coding agent competition heats up | TechCrunch
Jules is already being used by developers to complete code after experimenting on vibe-coding platforms.

Cowboys DC outlines 'plug and play' plans for new dynamic duo at DT, Eagles matchup https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/09/02/matt-eberflus-cowboys-defense-leadership-week-1-…

Unlocking the Effectiveness of LoRA-FP for Seamless Transfer Implantation of Fingerprints in Downstream Models
Zhenhua Xu, Zhaokun Yan, Binhan Xu, Xin Tong, Haitao Xu, Yourong Chen, Meng Han
https://arxiv.org/abs/2509.00820

Unlocking the Effectiveness of LoRA-FP for Seamless Transfer Implantation of Fingerprints in Downstream Models
With the rapid advancement of large language models (LLMs), safeguarding intellectual property (IP) has become increasingly critical. To address the challenges of high costs and potential contamination in fingerprint integration, we propose LoRA-FP, a lightweight, plug-and-play framework that embeds backdoor fingerprints into LoRA adapters through constrained fine-tuning. This design enables seamless fingerprint transplantation via parameter fusion, eliminating the need for full-parameter updat…

New work laptop. I don't want to sign it into my #Apple account for obvious reasons.
Connect my Apple trackpad to the new work machine and it works fine.
Try to reconnect the trackpad to my personal Mac so I can do some homelab stuff over the weekend, not so fine. It shows up in the BT menu, but won't actually connect until I have the laptop forget the device.
Ok, I think, I'll just connect it wired since I only use the trackpad at my desk at home anyway.
That doesn't work because why would you want to be able to plug in a device with a wire and have it Just Work when instead you could get to fuck around with Bluetooth.
And of course I get to do the forget device bullshit again in order to use it with my work laptop today

It's neat that I can plug in a brand-new mouse to the 25-year old iBook and it just works, no driver installation or anything needed.

One of my options for a replacement PC. It will plug into the UPS so that when I lose power, I can do a safe shutdown.
https://flip.it/xKF142

Convergence of empirical Gromov-Wasserstein distance
Kengo Kato, Boyu Wang
https://arxiv.org/abs/2508.03985 https://arxiv.org/pdf/2508.03985

Convergence of empirical Gromov-Wasserstein distance
We study rates of convergence for estimation of the Gromov-Wasserstein distance. For two marginals supported on compact subsets of $\R^{d_x}$ and $\R^{d_y}$, respectively, with $\min \{ d_x,d_y \} > 4$, prior work established the rate $n^{-\frac{2}{\min\{d_x,d_y\}}}$ for the plug-in empirical estimator based on $n$ i.i.d. samples. We extend this fundamental result to marginals with unbounded supports, assuming only finite polynomial moments. Our proof techniques for the upper bounds can be adap…

#Mouse visitor(s), episode 2:
Anyone knows how to figure out where unwanted mice visitors might be coming in from into my (basement) flat? I tried UV light but without success so far. Also tried to plug any visible hole - however small - but they keep coming. I'd like to know for sure where they come from. Pour flour on the floor to try and detect their paw traces?
(I don't want to kill…

Interesting.
it seems like all the USBC plugs I use for my Framework Laptops are actually *tarnished* at the laptop end.
For some time, I though the cables I used were just internally breaking after a while (even though they are quite high quality ugreen ones, with bend-protection), because it would have intermittend connectivity issues when I wiggled it.
And I mean actually tarnished, not dirty. I had to use some very fine sandpaper to polish up the plug.
So far, the…

🇺🇦 #NowPlaying on KEXP's #AfternoonShow
De La Soul:
🎵 Plug Tunin’ (Last Chance to Comprehend)
#DeLaSoul
https://delasoul.bandcamp.com/track/plug-tunin-last-chance-to-comprehend

Inferring processes within dynamic forest models using hybrid modeling
Maximilian Pichler, Yannek K\"aber
https://arxiv.org/abs/2508.01228 https://arx…

Inferring processes within dynamic forest models using hybrid modeling
Modeling forest dynamics under novel climatic conditions requires a careful balance between process-based understanding and empirical flexibility. Dynamic Vegetation Models (DVM) represent ecological processes mechanistically, but their performance is prone to misspecified assumptions about functional forms. Inferring the structure of these processes and their functional forms correctly from data remains a major challenge because current approaches, such as plug-in estimators, have proven ineff…

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers
Wenhao Li, Mengyuan Liu, Hong Liu, Pichao Wang, Shijian Lu, Nicu Sebe
https://arxiv.org/abs/2509.06956

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers
Transformers have been successfully applied in the field of video-based 3D human pose estimation. However, the high computational costs of these video pose transformers (VPTs) make them impractical on resource-constrained devices. In this paper, we present a hierarchical plug-and-play pruning-and-recovering framework, called Hierarchical Hourglass Tokenizer (H$_{2}$OT), for efficient transformer-based 3D human pose estimation from videos. H$_{2}$OT begins with progressively pruning pose tokens …

Whenever I can I try to plug WIkidata and then ... I tried...
#Wikidata

Explicit and Implicit Data Augmentation for Social Event Detection
Congbo Ma, Yuxia Wang, Jia Wu, Jian Yang, Jing Du, Zitai Qiu, Qing Li, Hu Wang, Preslav Nakov
https://arxiv.org/abs/2509.04202

Explicit and Implicit Data Augmentation for Social Event Detection
Social event detection involves identifying and categorizing important events from social media, which relies on labeled data, but annotation is costly and labor-intensive. To address this problem, we propose Augmentation framework for Social Event Detection (SED-Aug), a plug-and-play dual augmentation framework, which combines explicit text-based and implicit feature-space augmentation to enhance data diversity and model robustness. The explicit augmentation utilizes large language models to e…

E-Autos second: Porsche setzt zunächst wieder auf Verbrenner first
Eine bisher vollelektrisch geplante SUV-Baureihe über dem Cayenne soll "marktbedingt" zunächst ausschließlich als Verbrenner- und Plug-in-Hybridmodell kommen.

LOOP: A Plug-and-Play Neuro-Symbolic Framework for Enhancing Planning in Autonomous Systems
Ronit Virwani, Ruchika Suryawanshi
https://arxiv.org/abs/2508.13371 https://

LOOP: A Plug-and-Play Neuro-Symbolic Framework for Enhancing Planning in Autonomous Systems
Planning is one of the most critical tasks in autonomous systems, where even a small error can lead to major failures or million-dollar losses. Current state-of-the-art neural planning approaches struggle with complex domains, producing plans with missing preconditions, inconsistent goals, and hallucinations. While classical planners provide logical guarantees, they lack the flexibility and natural language understanding capabilities needed for modern autonomous systems. Existing neuro-symbolic…

New Hampshire and Vermont working on plug-in solar bills to make solar systems more accessible for residents. Utah has already passed similar legislation, with other states considering the same. #climatechange #climatesolutions

Plug-in solar bills are in the works in New Hampshire and Vermont
DIY "balcony" solar kits, which can save residents money and give them more independence, are piquing interest from lawmakers on both sides of the aisle.

Multiple NFL Executives Link Cowboys to Blockbuster Trade for $30 Million Pass Rusher https://heavy.com/sports/nfl/dallas-cowboys/trey-hendrickson-nfl-trade-rumors-news-2/?adt_ei=[email]

On Local Bytes Power Monitoring Smart Plug: Review - Learn how I set up and used this device preflashed with Tasmota! #powerMeter #cutCarbon #frugal -

On Local Bytes Power Monitoring Smart Plug: Review
Learn how I set up and used this device preflashed with Tasmota! #powerMeter #cutCarbon #frugal

Consistency Models as Plug-and-Play Priors for Inverse Problems
Merve G\"ulle, Junno Yun, Ya\c{s}ar Utku Al\c{c}alar, Mehmet Ak\c{c}akaya
https://arxiv.org/abs/2509.22736 h…

Consistency Models as Plug-and-Play Priors for Inverse Problems
Diffusion models have found extensive use in solving numerous inverse problems. Such diffusion inverse problem solvers aim to sample from the posterior distribution of data given the measurements, using a combination of the unconditional score function and an approximation of the posterior related to the forward process. Recently, consistency models (CMs) have been proposed to directly predict the final output from any point on the diffusion ODE trajectory, enabling high-quality sampling in jus…

Bayesian Signal Separation via Plug-and-Play Diffusion-Within-Gibbs Sampling
Yi Zhang, Rui Guo, Yonina C. Eldar
https://arxiv.org/abs/2509.12857 https://ar…

Bayesian Signal Separation via Plug-and-Play Diffusion-Within-Gibbs Sampling
We propose a posterior sampling algorithm for the problem of estimating multiple independent source signals from their noisy superposition. The proposed algorithm is a combination of Gibbs sampling method and plug-and-play (PnP) diffusion priors. Unlike most existing diffusion-model-based approaches for signal separation, our method allows source priors to be learned separately and flexibly combined without retraining. Moreover, under the assumption of perfect diffusion model training, the prop…

RLGS: Reinforcement Learning-Based Adaptive Hyperparameter Tuning for Gaussian Splatting
Zhan Li, Huangying Zhan, Changyang Li, Qingan Yan, Yi Xu
https://arxiv.org/abs/2508.04078

RLGS: Reinforcement Learning-Based Adaptive Hyperparameter Tuning for Gaussian Splatting
Hyperparameter tuning in 3D Gaussian Splatting (3DGS) is a labor-intensive and expert-driven process, often resulting in inconsistent reconstructions and suboptimal results. We propose RLGS, a plug-and-play reinforcement learning framework for adaptive hyperparameter tuning in 3DGS through lightweight policy modules, dynamically adjusting critical hyperparameters such as learning rates and densification thresholds. The framework is model-agnostic and seamlessly integrates into existing 3DGS pip…

Crosslisted article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[5/6]:
- HiGS: History-Guided Sampling for Plug-and-Play Enhancement of Diffusion Models
Seyedmorteza Sadat, Farnood Salehi, Romann M. Weber

When MCP Servers Attack: Taxonomy, Feasibility, and Mitigation
Weibo Zhao, Jiahao Liu, Bonan Ruan, Shaofei Li, Zhenkai Liang
https://arxiv.org/abs/2509.24272 https://

When MCP Servers Attack: Taxonomy, Feasibility, and Mitigation
Model Context Protocol (MCP) servers enable AI applications to connect to external systems in a plug-and-play manner, but their rapid proliferation also introduces severe security risks. Unlike mature software ecosystems with rigorous vetting, MCP servers still lack standardized review mechanisms, giving adversaries opportunities to distribute malicious implementations. Despite this pressing risk, the security implications of MCP servers remain underexplored. To address this gap, we present the…

The reminder popped up for me. Last Sunday of each month, I was reminded to back up my files. Doesn't take much to do. Turn on the machine, plug in a drive, and run my script. It takes a bit of time, but I am doing other things, so it isn't a problem.
External drives are not that expensive, and earlier this month, it paid off as my old laptop failed. Nothing was lost as I had backups. I also popped the laptop drive out, plugged it into an adapter, and extracted all the di…

PSTTS: A Plug-and-Play Token Selector for Efficient Event-based Spatio-temporal Representation Learning
Xiangmo Zhao, Nan Yang, Yang Wang, Zhanwen Liu
https://arxiv.org/abs/2509.22481

PSTTS: A Plug-and-Play Token Selector for Efficient Event-based Spatio-temporal Representation Learning
Mainstream event-based spatio-temporal representation learning methods typically process event streams by converting them into sequences of event frames, achieving remarkable performance. However, they neglect the high spatial sparsity and inter-frame motion redundancy inherent in event frame sequences, leading to significant computational overhead. Existing token sparsification methods for RGB videos rely on unreliable intermediate token representations and neglect the influence of event noise…

Towards multi-purpose locally differentially-private synthetic data release via spline wavelet plug-in estimation
Thibault Randrianarisoa, Lukas Steinberger, Botond Szab\'o
https://arxiv.org/abs/2508.13969

Towards multi-purpose locally differentially-private synthetic data release via spline wavelet plug-in estimation
We develop plug-in estimators for locally differentially private semi-parametric estimation via spline wavelets. The approach leads to optimal rates of convergence for a large class of estimation problems that are characterized by (differentiable) functionals $Λ(f)$ of the true data generating density $f$. The crucial feature of the locally private data $Z_1,\dots, Z_n$ we generate is that it does not depend on the particular functional $Λ$ (or the unknown density $f$) the analyst wants to es…

On the LIME Energy Saving Plug: Review (2011) - Read how this simple helpful gadget chopped the watts to save cash and carbon! #smartPlug #frugal #cutCarbon -

On the LIME Energy Saving Plug: Review (2011)
Read how this simple helpful gadget chopped the watts to save cash and carbon! #smartPlug #frugal #cutCarbon

Olaf Lies: Erster SPD-Landeschef hält Verbrenner-Aus 2035 für unrealistisch
Der niedersächsische Landeschef will kein striktes Verbrenner-Aus für Neuwagen ab 2035, sondern auch E-Fuel, Plug-in-Hybride und E-Fahrzeuge mit Range-Extender.

Causal Spatial Quantile Regression
Yan Gong, Reetam Majumder, Brian J. Reich, Rapha\"el Huser
https://arxiv.org/abs/2509.02294 https://arxiv.org/pdf/2…

Causal Spatial Quantile Regression
Treatment effects in a wide range of economic, environmental, and epidemiological applications often vary across space, and understanding the heterogeneity of causal effects across space and outcome quantiles is a critical challenge in spatial causal inference. To effectively capture spatial heterogeneity in distributional treatment effects, we propose a novel semiparametric neural network-based causal framework leveraging deep spatial quantile regression and then construct a plug-in estimator …

Analysis Plug-and-Play Methods for Imaging Inverse Problems
Edward P. Chandler, Shirin Shoushtari, Brendt Wohlberg, Ulugbek S. Kamilov
https://arxiv.org/abs/2509.15422 https://

Analysis Plug-and-Play Methods for Imaging Inverse Problems
Plug-and-Play Priors (PnP) is a popular framework for solving imaging inverse problems by integrating learned priors in the form of denoisers trained to remove Gaussian noise from images. In standard PnP methods, the denoiser is applied directly in the image domain, serving as an implicit prior on natural images. This paper considers an alternative analysis formulation of PnP, in which the prior is imposed on a transformed representation of the image, such as its gradient. Specifically, we trai…

VLA-Reasoner: Empowering Vision-Language-Action Models with Reasoning via Online Monte Carlo Tree Search
Wenkai Guo, Guanxing Lu, Haoyuan Deng, Zhenyu Wu, Yansong Tang, Ziwei Wang
https://arxiv.org/abs/2509.22643

VLA-Reasoner: Empowering Vision-Language-Action Models with Reasoning via Online Monte Carlo Tree Search
Vision-Language-Action models (VLAs) achieve strong performance in general robotic manipulation tasks by scaling imitation learning. However, existing VLAs are limited to predicting short-sighted next-action, which struggle with long-horizon trajectory tasks due to incremental deviations. To address this problem, we propose a plug-in framework named VLA-Reasoner that effectively empowers off-the-shelf VLAs with the capability of foreseeing future states via test-time scaling. Specifically, VLA-…

TS-P$^2$CL: Plug-and-Play Dual Contrastive Learning for Vision-Guided Medical Time Series Classification
Qi'ao Xu, Pengfei Wang, Bo Zhong, Tianwen Qian, Xiaoling Wang, Ye Wang, Hong Yu
https://arxiv.org/abs/2509.17802

TS-P$^2$CL: Plug-and-Play Dual Contrastive Learning for Vision-Guided Medical Time Series Classification
Medical time series (MedTS) classification is pivotal for intelligent healthcare, yet its efficacy is severely limited by poor cross-subject generation due to the profound cross-individual heterogeneity. Despite advances in architectural innovations and transfer learning techniques, current methods remain constrained by modality-specific inductive biases that limit their ability to learn universally invariant representations. To overcome this, we propose TS-P$^2$CL, a novel plug-and-play framew…

On the LIME Energy Saving Plug: Review (2011) - Read how this simple helpful gadget chopped the watts to save cash and carbon! #smartPlug #frugal #cutCarbon -

On the LIME Energy Saving Plug: Review (2011)
Read how this simple helpful gadget chopped the watts to save cash and carbon! #smartPlug #frugal #cutCarbon

Moderate deviation principle for plug-in estimators of diversity indices on countable alphabets
Zhenhong Yu, Yu Miao
https://arxiv.org/abs/2508.12382 https://

Moderate deviation principle for plug-in estimators of diversity indices on countable alphabets
In the present paper, we consider the moderate deviation principle for the plug-in estimators of a large class of diversity indices on countable alphabets, where the distribution may change with the sample size. Our results cover some of the most commonly used indices, including Tsallis entropy, Reńyi entropy and Hill diversity number.

Plug-and-Play PDE Optimization for 3D Gaussian Splatting: Toward High-Quality Rendering and Reconstruction
Yifan Mo (University of Science,Technology of China), Youcheng Cai (University of Science,Technology of China), Ligang Liu (University of Science,Technology of China)
https://arxiv.org/abs/2509.13938

Plug-and-Play PDE Optimization for 3D Gaussian Splatting: Toward High-Quality Rendering and Reconstruction
3D Gaussian Splatting (3DGS) has revolutionized radiance field reconstruction by achieving high-quality novel view synthesis with fast rendering speed, introducing 3D Gaussian primitives to represent the scene. However, 3DGS encounters blurring and floaters when applied to complex scenes, caused by the reconstruction of redundant and ambiguous geometric structures. We attribute this issue to the unstable optimization of the Gaussians. To address this limitation, we present a plug-and-play PDE-b…

MemOrb: A Plug-and-Play Verbal-Reinforcement Memory Layer for E-Commerce Customer Service
Yizhe Huang, Yang Liu, Ruiyu Zhao, Xiaolong Zhong, Xingming Yue, Ling Jiang
https://arxiv.org/abs/2509.18713

GRASPing Anatomy to Improve Pathology Segmentation
Keyi Li, Alexander Jaus, Jens Kleesiek, Rainer Stiefelhagen
https://arxiv.org/abs/2508.03374 https://arx…

GRASPing Anatomy to Improve Pathology Segmentation
Radiologists rely on anatomical understanding to accurately delineate pathologies, yet most current deep learning approaches use pure pattern recognition and ignore the anatomical context in which pathologies develop. To narrow this gap, we introduce GRASP (Guided Representation Alignment for the Segmentation of Pathologies), a modular plug-and-play framework that enhances pathology segmentation models by leveraging existing anatomy segmentation models through pseudolabel integration and featur…

'Not pushing the panic button,' Cowboys HC Schottenheimer not pulling plug on QB Milton https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/08/18/schottenheimer-cowboys-qb-milton-struggles-ravens…

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation
Yizhe Xiong, Zihan Zhou, Yiwen Liang, Hui Chen, Zijia Lin, Tianxiang Hao, Fan Zhang, Jungong Han, Guiguang Ding
https://arxiv.org/abs/2508.03388

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation
Test-Time Adaptation (TTA) has emerged as an effective solution for adapting Vision Transformers (ViT) to distribution shifts without additional training data. However, existing TTA methods often incur substantial computational overhead, limiting their applicability in resource-constrained real-world scenarios. To reduce inference cost, plug-and-play token aggregation methods merge redundant tokens in ViTs to reduce total processed tokens. Albeit efficient, it suffers from significant performan…

On G83-Lite: Solar Nanogeneration For Everyone (2009) - Learn how plug-in solar curtain linings could trim your home power bill and footprint... #solar #balconySolar #nanogeneration -

On G83-Lite: Solar Nanogeneration For Everyone (2009)
Learn how plug-in solar curtain linings could trim your home power bill and footprint... #solar #balconySolar #nanogeneration

Sharp Convergence Rates of Empirical Unbalanced Optimal Transport for Spatio-Temporal Point Processes
Marina Struleva, Shayan Hundrieser, Dominic Schuhmacher, Axel Munk
https://arxiv.org/abs/2509.04225

Sharp Convergence Rates of Empirical Unbalanced Optimal Transport for Spatio-Temporal Point Processes
We statistically analyze empirical plug-in estimators for unbalanced optimal transport (UOT) formalisms, focusing on the Kantorovich-Rubinstein distance, between general intensity measures based on observations from spatio-temporal point processes. Specifically, we model the observations by two weakly time-stationary point processes with spatial intensity measures $μ$ and $ν$ over the expanding window $(0,t]$ as $t$ increases to infinity, and establish sharp convergence rates of the empirical…

Text Slider: Efficient and Plug-and-Play Continuous Concept Control for Image/Video Synthesis via LoRA Adapters
Pin-Yen Chiu, I-Sheng Fang, Jun-Cheng Chen
https://arxiv.org/abs/2509.18831

Text Slider: Efficient and Plug-and-Play Continuous Concept Control for Image/Video Synthesis via LoRA Adapters
Recent advances in diffusion models have significantly improved image and video synthesis. In addition, several concept control methods have been proposed to enable fine-grained, continuous, and flexible control over free-form text prompts. However, these methods not only require intensive training time and GPU memory usage to learn the sliders or embeddings but also need to be retrained for different diffusion backbones, limiting their scalability and adaptability. To address these limitations…

Visual Self-Refinement for Autoregressive Models
Jiamian Wang, Ziqi Zhou, Chaithanya Kumar Mummadi, Sohail Dianat, Majid Rabbani, Raghuveer Rao, Chen Qiu, Zhiqiang Tao
https://arxiv.org/abs/2510.00993 …

Visual Self-Refinement for Autoregressive Models
Autoregressive models excel in sequential modeling and have proven to be effective for vision-language data. However, the spatial nature of visual signals conflicts with the sequential dependencies of next-token prediction, leading to suboptimal results. This work proposes a plug-and-play refinement module to enhance the complex spatial correspondence modeling within the generated visual sequence. This module operates as a post-pretraining step to jointly refine all generated tokens of autoregr…