Tootfinder

What North Korea Learned From the Battlefields of Kursk: https://benborges.xyz/2025/08/27/what-north-korea-learned-from.html

What have I learned from music?
#MusicLife
https://muz4now.com/2022/what-have-i-learned-from-music/

What have I learned from music?
Stan Stewart - @muz4now

NFL Week 8 takeaways: What We Learned from Sunday's 11 games https://www.nfl.com/news/nfl-week-8-takeaways-what-we-learned-from-sunday-s-11-games

NFL Week 4 takeaways: What We Learned from Sunday's 13 games https://www.nfl.com/news/2025-nfl-week-4-takeaways-what-we-learned-from-sunday-s-13-games

This blog post might be interesting for some "12 Things I Learned Writing CLI Tools in #Crystal"
https://dev.to/kojix2/12-things-i-learned-writing-cli-tools-in-…

12 Things I Learned Writing CLI Tools in Crystal
I love the Crystal programming language. For the past two or three years, I have been building...

I learned on TikTok that mustard binds the vinegar and oil together (before injust poured both simultaneously) and now i cant get enough of this:

Bootstrapping Learned Cost Models with Synthetic SQL Queries
Michael Nidd, Christoph Miksovic, Thomas Gschwind, Francesco Fusco, Andrea Giovannini, Ioana Giurgiu
https://arxiv.org/abs/2508.19807

Bootstrapping Learned Cost Models with Synthetic SQL Queries
Having access to realistic workloads for a given database instance is extremely important to enable stress and vulnerability testing, as well as to optimize for cost and performance. Recent advances in learned cost models have shown that when enough diverse SQL queries are available, one can effectively and efficiently predict the cost of running a given query against a specific database engine. In this paper, we describe our experience in exploiting modern synthetic data generation techniques,…

🪞 What we've learned about narcissism over the past 30 years
https://theconversation.com/what-weve-learned-about-narcissism-over-the-past-30-years-258505

What we’ve learned about narcissism over the past 30 years
Narcissism is a picture that includes insecurity, emotional sensitivity and surprising fragility.

Accuracy and Limitations of Machine-Learned Interatomic Potentials for Magnetic Systems: A Case Study on Fe-Cr-C
E. O. Khazieva, N. M. Chtchelkatchev, R. E. Ryltsev
https://arxiv.org/abs/2507.18935

Accuracy and Limitations of Machine-Learned Interatomic Potentials for Magnetic Systems: A Case Study on Fe-Cr-C
Machine-learned interatomic potentials (MLIPs) have become the gold standard for atomistic simulations, yet their extension to magnetic materials remains challenging because spin fluctuations must be captured either explicitly or implicitly. We address this problem for the technologically vital Fe-Cr-C system by constructing two deep machine learning potentials in DeePMD realization: one trained on non-magnetic DFT data (DP-NM) and one on spin-polarised DFT data (DP-M). Extensive validation aga…

RoofSeg: An edge-aware transformer-based network for end-to-end roof plane segmentation
Siyuan You, Guozheng Xu, Pengwei Zhou, Qiwen Jin, Jian Yao, Li Li
https://arxiv.org/abs/2508.19003

RoofSeg: An edge-aware transformer-based network for end-to-end roof plane segmentation
Roof plane segmentation is one of the key procedures for reconstructing three-dimensional (3D) building models at levels of detail (LoD) 2 and 3 from airborne light detection and ranging (LiDAR) point clouds. The majority of current approaches for roof plane segmentation rely on the manually designed or learned features followed by some specifically designed geometric clustering strategies. Because the learned features are more powerful than the manually designed features, the deep learning-bas…

Mut4All: Fuzzing Compilers via LLM-Synthesized Mutators Learned from Bug Reports
Bo Wang, Pengyang Wang, Chong Chen, Qi Sun, Jieke Shi, Chengran Yang, Ming Deng, Youfang Lin, Zhou Yang, David Lo
https://arxiv.org/abs/2507.19275

Mut4All: Fuzzing Compilers via LLM-Synthesized Mutators Learned from Bug Reports
Mutation-based fuzzing is effective for uncovering compiler bugs, but designing high-quality mutators for modern languages with complex constructs (e.g., templates, macros) remains challenging. Existing methods rely heavily on manual design or human-in-the-loop correction, limiting scalability and cross-language generalizability. We present Mut4All, a fully automated, language-agnostic framework that synthesizes mutators using Large Language Models (LLMs) and compiler-specific knowledge from …

I just learned about rain ponchos for cycling and... what?
#biking #bikeTooter

A look at AI-powered "nudify" tools, which make it fast and easy to make nonconsensual, deepfake porn, and the limited legal options available to their victims (Jonathan Vanian/CNBC)
https://www.cnbc.com/2025/09/27/nudify-ai-generated-deepfake-fbi.html

How a 'nudify' site turned a group of friends into key figures in a fight against AI-generated porn
A group of friends in Minnesota last year learned that a man they knew had used their social media photos to create pornographic deepfakes.

Today I learned about the Nwulite Obodo Open Data License (NOODL).
https://licensingafricandatasets.com/

McCarthyism was rate limited by the number of people engaged,
the amount of money available,
the legal frameworks in place,
and the media environment,
in a way that is very different from what universities will face
not just in the next three years
but until we find a way to contain these people

i reminded myself of an acronym i learned from a book i bought over 30 years ago
there was an amazing amount of _pnambic_ AI going on in the years before the launch of ChatGPT
i wonder how much of it still exists
eg i know there are two people employed as remote-operator drivers per google “driverless” car

So I guess basketball is football?...
And handball is also football?
And so is hockey? At least field hockey?
https://noc.social/@todayilearned/115278824560329988

Today I learned (@todayilearned@noc.social)
Attached: 1 image TIL that "football" refers to a sport played on foot, rather than horseback, and not to how the ball is moved. (Explaining why US Football is known as such despite mostly relying on hands). https://en.wikipedia.org/wiki/Football_(word) #til #todayilearned https://www.reddit.com/r/todayilearned/comments/1ns8yqz/til_that_football_refers_to_a_sport_played_on/

Sources: CNN staff were taken aback when Mark Thompson suggested easing up on covering Trump's East Wing demolition after a rare White House visit last week (Natalie Korach/Status)
https://www.status.news/p/mark-thompson-cnn-white-house-east-wing-demolition…

Mark Thompson’s D.C. Drop-In
CNN’s chief has Washington talking about his private meeting at the White House—following which he urged the network to ease up on coverage of Trump’s East Room demolition, Status has learned.

She's worked at a hospital for more than half a decade at this point. This has given her valuable insights.. 😂

"What then is the spirit of liberty? I cannot define it; I can only tell you my own faith. The spirit of liberty is the spirit which is not too sure that it is right; the spirit of liberty is the spirit which seeks to understand the mind of other men and women; the spirit of liberty is the spirit which weighs their interests alongside its own without bias; the spirit of liberty remembers that not even a sparrow falls to earth unheeded..." - Learned Hand

@… @… I've recently learned that this is common behavior, but still it's utterly broken. Their RAs promised that you can have the prefix for some time. A local power outage or other brief service interrupt…

Finished Ruri no houseki (Ruri Rocks)
I really enjoyed this anime. I learned about minealogy.
I think that the studio who adapted the manga, studio bind, is the same that onimai
Final Note on MyAnimelist and Anilist 8/10
https://myanimelist.net/anime/59791/Ruri_no_Houseki…

You only hate on Gemini until you need it to write for you a PowerShell script that generates a Kodi .nfo file for each of the ~50 extras of 'Friends' that don't have entries on TheTVDB.
At least I reviewed the final script and understood / learned how things are done. Shout-out to the excellent Bulk Rename Utility, which made the prepping easier. It was a team effort.
God this was a humbling experience 😑

MACD: Multi-Agent Clinical Diagnosis with Self-Learned Knowledge for LLM
Wenliang Li, Rui Yan, Xu Zhang, Li Chen, Hongji Zhu, Jing Zhao, Junjun Li, Mengru Li, Wei Cao, Zihang Jiang, Wei Wei, Kun Zhang, Shaohua Kevin Zhou
https://arxiv.org/abs/2509.20067

MACD: Multi-Agent Clinical Diagnosis with Self-Learned Knowledge for LLM
Large language models (LLMs) have demonstrated notable potential in medical applications, yet they face substantial challenges in handling complex real-world clinical diagnoses using conventional prompting methods. Current prompt engineering and multi-agent approaches typically optimize isolated inferences, neglecting the accumulation of reusable clinical experience. To address this, this study proposes a novel Multi-Agent Clinical Diagnosis (MACD) framework, which allows LLMs to self-learn cli…

I'm reading job applications and have noticed that multiple people referenced that they are sufficient in the 4D development process.
I have now learned that they are not programming across space and time?!
They can Define, Design, Develop and Deploy!
A buzzword for “I am able to be a one-person-team”. Now you know!

Alignment-Sensitive Minimax Rates for Spectral Algorithms with Learned Kernels
Dongming Huang, Zhifan Li, Yicheng Li, Qian Lin
https://arxiv.org/abs/2509.20294 https://

Alignment-Sensitive Minimax Rates for Spectral Algorithms with Learned Kernels
We study spectral algorithms in the setting where kernels are learned from data. We introduce the effective span dimension (ESD), an alignment-sensitive complexity measure that depends jointly on the signal, spectrum, and noise level $σ^2$. The ESD is well-defined for arbitrary kernels and signals without requiring eigen-decay conditions or source conditions. We prove that for sequence models whose ESD is at most $K$, the minimax excess risk scales as $σ^2 K$. Furthermore, we analyze over-par…

Should I have finished the print cover before today? Absolutely. But instead, let's be impressed I learned how to make textures from my own photos. Used that to make the texture for the back cover. https://www.megancarney.com/books.html

Blue Water Autonomy, which is building autonomous, unmanned ships for the US Navy, raised a $50M Series A led by GV, bringing its total funding to $64M (Allie Garfinkle/Fortune)
https://fortune.com/2025/08/26/exclusive-b…

Exclusive: Blue Water Autonomy raises GV-led $50 million Series A to build unmanned ships
Blue Water Autonomy has raised a $50 million Series A, led by GV, Fortune has exclusively learned.

Seahawks-Cardinals on 'Thursday Night Football': What We Learned from Seattle's 23-20 win https://www.nfl.com/news/seahawks-cardinals-on-thursday-night-football-what-we-learned-from-seattle-s-23-20-win

Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning
Sikuan Yan, Xiufeng Yang, Zuchao Huang, Ercong Nie, Zifeng Ding, Zonggen Li, Xiaowen Ma, Hinrich Sch\"utze, Volker Tresp, Yunpu Ma
https://arxiv.org/abs/2508.19828

Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning
Large Language Models (LLMs) have demonstrated impressive capabilities across a wide range of NLP tasks, but they remain fundamentally stateless, constrained by limited context windows that hinder long-horizon reasoning. Recent efforts to address this limitation often augment LLMs with an external memory bank, yet most existing pipelines are static and heuristic-driven, lacking any learned mechanism for deciding what to store, update, or retrieve. We present Memory-R1, a reinforcement learning …

Why was I today years old when I learned about bio-photovoltaics?
This is a technology which instead of using silicon wafers as the basis for photovoltaic cells, uses a sandwich comprising
1. A transparent window, to allow sunlight in;
2. Algae, to photosynthesise sugars;
3. A membrane to keep the algae separate from the bacteria;
4. Bacteria, which consume sugar and generate electricity;
5. A filter, to allow the biological components to breathe.
#1/2

Divide, Discover, Deploy: Factorized Skill Learning with Symmetry and Style Priors
Rafael Cathomen, Mayank Mittal, Marin Vlastelica, Marco Hutter
https://arxiv.org/abs/2508.19953

Divide, Discover, Deploy: Factorized Skill Learning with Symmetry and Style Priors
Unsupervised Skill Discovery (USD) allows agents to autonomously learn diverse behaviors without task-specific rewards. While recent USD methods have shown promise, their application to real-world robotics remains underexplored. In this paper, we propose a modular USD framework to address the challenges in the safety, interpretability, and deployability of the learned skills. Our approach employs user-defined factorization of the state space to learn disentangled skill representations. It assig…

🇺🇦 #NowPlaying on KEXP's #Early
Hüsker Dü:
🎵 Something I Learned Today
#HüskerDü
https://prfmonthlytributeseries.bandcamp.com/track/something-i-learned-today
https://open.spotify.com/track/523qoxtSZJE2io945dAkVk

Wow, I was today years old when I learned that It is at work everywhere, functioning smoothly at times, at other times in fits and starts. It breathes, it heats, it eats. It shits and fucks. What a mistake to have ever said the id. Everywhere it is machines — real ones, not figurative ones: machines driving other machines, machines being driven by other machines, with all the necessary couplings and connections.

I finally wrote up my experience running a few TDD workshops internally at work, and the things I learned.
https://functional.computer/blog/tdd-workshop
I found it quite different to running workshops for the public; I needed to start from the very beginning, and co…

Blast from the past!
Writing firmware on my first laptop, for the PIC12F683 (the first microcontroller I ever used), on my first embedded project ever (robotic rubber band gun turret) freshman year of college, bodged together on perf board.
The UART and servo PWM were both bitbanged because the PIC12F683 didn't have any UARTs and I hadn't learned how to use the timer block yet.

Semantic IDs for Music Recommendation
M. Jeffrey Mei, Florian Henkel, Samuel E. Sandberg, Oliver Bembom, Andreas F. Ehmann
https://arxiv.org/abs/2507.18800 https://

Semantic IDs for Music Recommendation
Training recommender systems for next-item recommendation often requires unique embeddings to be learned for each item, which may take up most of the trainable parameters for a model. Shared embeddings, such as using content information, can reduce the number of distinct embeddings to be stored in memory. This allows for a more lightweight model; correspondingly, model complexity can be increased due to having fewer embeddings to store in memory. We show the benefit of using shared content-base…

I do sometimes use the trick of pretending to be looking at my phone while crossing the street to make drivers more likely to stop
One time though I had one play chicken accelerating at me. I shouted stop and they heckled me through their window saying they did it to teach me a lesson. Lesson learned: cars suck

'if Trump told Epstein not to recruit sex slaves from Mar-a-Lago, "it'd mean he knew what happened to Giuffre years before law enforcement first started investigating Epstein. It would mean he learned Epstein was trafficking girls, which that NY Mag quote sure seems to reflect, and rather than do something to make Epstein stop, Trump just told him not to do it at Mar-a-Lago.'
'Did Trump just confess?' Expert floored by president's explosive Epstein remark - Raw Story
https://www.rawstory.com/trump-epstein-2673781606/

Just spent the last two days on a Remote Area First Aid course, run by JP of the Overland Guide Association. Really enjoyed it and definitely learned lots.
DRC ABCDE
#Motorcycles #Travel

What a legend.
And for those out there who are not familiar with state-of-the-art country guitar playing, there are some incredible videos embedded in the article.
#guitar #CountryMusic

“I was hitting sessions until my eyeballs were popping out. I’d go in early in the morning, start at 10 and get home midnight”: Session hero Brent Mason has played on over a thousand records. Here’s what he’s learned about getting the job done
Decorated with accolades from the Grammys to the Academy Of Country Music, the legendary Nashville sessioneer reveals his secret-weapon gear, why he surrendered to the metronome, and the key to nailing that first take

The apartment where I'm staying right now has turtles (land turtles, bunch of 'em) and if there's one thing I learned about turtles is:
TURTLES ARE ALWAYS AT IT.
Like, literally. They love each other very much ALL THE TIME.
And they make a very funny noise while taking care of business and I'll be forever haunted by their "heh... heh... heh..."

FlashGMM: Fast Gaussian Mixture Entropy Model for Learned Image Compression
Shimon Murai, Fangzheng Lin, Jiro Katto
https://arxiv.org/abs/2509.18815 https://

What We Learned from the Raiders' Preseason Finale https://www.si.com/nfl/raiders/las-vegas-geno-smith-donte-thornton-arizona-cardinals-pete-carroll

NFL rookie coaches Liam Coen, Kellen Moore, Brian Schottenheimer on best advice, lessons learned https://www.nytimes.com/athletic/6567510/2025/08/25/nfl-rookie-coaches-coen-moore-schottenheimer/

What we learned in NFL Week 8: Packers offense flips a switch, Jets win a big one https://www.nytimes.com/athletic/6752515/2025/10/27/nfl-week-8-takeaways-packers-steelers-jordan-love/

The creator of Choose Your Own Adventure (CYOA) books, Edward Packard, penned a short book called "Nine Things I Learned in Ninety Years", available for download for free here:
https://edwardpackard.com/wp-content/uploads/2025/09/Nine-T…

GRADSTOP: Early Stopping of Gradient Descent via Posterior Sampling
Arash Jamshidi, Lauri Sepp\"al\"ainen, Katsiaryna Haitsiukevich, Hoang Phuc Hau Luu, Anton Bj\"orklund, Kai Puolam\"aki
https://arxiv.org/abs/2508.19028

GRADSTOP: Early Stopping of Gradient Descent via Posterior Sampling
Machine learning models are often learned by minimising a loss function on the training data using a gradient descent algorithm. These models often suffer from overfitting, leading to a decline in predictive performance on unseen data. A standard solution is early stopping using a hold-out validation set, which halts the minimisation when the validation loss stops decreasing. However, this hold-out set reduces the data available for training. This paper presents {\sc gradstop}, a novel stochast…

Just got my medical insurance letter about the rates for next year....
22%
(This is for a Medicare "medigap" plan. - I learned to stay far, far away from those suck-'em-in-then-screw-em "Medicare Advantage" plans.)

@… @… they learned from others' experiences, I would say

An update to ECMWF's machine-learned weather forecast model AIFS
Gabriel Moldovan, Ewan Pinnington, Ana Prieto Nemesio, Simon Lang, Zied Ben Bouall\`egue, Jesper Dramsch, Mihai Alexe, Mario Santa Cruz, Sara Hahner, Harrison Cook, Helen Theissen, Mariana Clare, Cathal O'Brien, Jan Polster, Linus Magnusson, Gert Mertes, Florian Pinault, Baudouin Raoult, Patricia de Rosnay, Richard Forbes, Matthew Chantry

Last year someone asked me for the pizza recipe I use, but it's a little more complicated than just a recipe, so I wrote a whole post about it.
https://rasterweb.net/raster/2024/12/18/pizza-advice/

Pizza Advice
What I've learned in the months and years...

Software people will laugh while scrolling this. They won’t admit it’s to keep them from crying: https://immich.app/cursed-knowledge

Cursed Knowledge | Immich
Cursed knowledge we have learned as a result of building Immich that we wish we never knew.

Good Morning #Canada
Today, while doing my morning Google thingy, I learned that Elon Musk has Canadian Citizenship. Now I need a shower.
Canada is pretty picky when we look for individuals who should be Canadian. Only 6 non-citizens have ever been recognized as Honorary Canadians, which takes an Act of Parliament to be designated with the honour. It provides zero rights or privileges but looks good on your resume. It is far more likely that non-citizens could be awarded the Order of Canada as they are eligible if they have made a significant contribution to Canadian society or had a positive impact on the world at large. As of August 2025, 8,647 people have been appointed to the order, an average of 150 per year since the honour was established in 1967. There is no list of non-Canadian recipients, as the government doesn't track them separately, but Queen Elizabeth II was awarded her Sovereign badge in 1970.
#CanadaIsAwesome #Welcome
https://www.cbc.ca/news/canada/who-are-the-honorary-canadians-1.1155903

Today I learned that regular expressions have a size limit and you get a “regular expression too large” error if you go over it.
Still trying to find some definitive documentation on what that size limit is in v8/latest Node.js.
#web #dev

from my link log —
What I've learned from jj.
https://zerowidth.com/2025/what-ive-learned-from-jj/
saved 2025-05-02 htt…

MACD: Multi-Agent Clinical Diagnosis with Self-Learned Knowledge for LLM
Wenliang Li, Rui Yan, Xu Zhang, Li Chen, Hongji Zhu, Jing Zhao, Junjun Li, Mengru Li, Wei Cao, Zihang Jiang, Wei Wei, Kun Zhang, Shaohua Kevin Zhou
https://arxiv.org/abs/2509.20067

MACD: Multi-Agent Clinical Diagnosis with Self-Learned Knowledge for LLM
Large language models (LLMs) have demonstrated notable potential in medical applications, yet they face substantial challenges in handling complex real-world clinical diagnoses using conventional prompting methods. Current prompt engineering and multi-agent approaches typically optimize isolated inferences, neglecting the accumulation of reusable clinical experience. To address this, this study proposes a novel Multi-Agent Clinical Diagnosis (MACD) framework, which allows LLMs to self-learn cli…

DenseRec: Revisiting Dense Content Embeddings for Sequential Transformer-based Recommendation
Jan Malte Lichtenberg, Antonio De Candia, Matteo Ruffini
https://arxiv.org/abs/2508.18442

DenseRec: Revisiting Dense Content Embeddings for Sequential Transformer-based Recommendation
Transformer-based sequential recommenders, such as SASRec or BERT4Rec, typically rely solely on learned item ID embeddings, making them vulnerable to the item cold-start problem, particularly in environments with dynamic item catalogs. While dense content embeddings from pre-trained models offer potential solutions, direct integration into transformer-based recommenders has consistently underperformed compared to ID-only approaches. We revisit this integration challenge and propose DenseRec, a …

Kari Lake, USAGM's acting CEO, says in a legal deposition that she was unaware of President Trump's EO shrinking the agency until the day it was issued (Scott Nover/Washington Post)

Kari Lake said she learned of Trump dismantling VOA the day of his order
Kari Lake said she learned of Trump dismantling VOA the day of his order.

🗜️ Core electron bonding may not always require extreme pressure, study finds
#chemistry

Core electron bonding may not always require extreme pressure, study finds
You probably learned in high school chemistry class that core electrons don't participate in chemical bonding.

I woke up with an intense longing for the unattainable RX 9070 XT, which, if I've learned something about myself, shouldn't be interpreted literally.

10 things we learned from 2025 NFL preseason: Giants' succession plan unfolding; Jets, 49ers to lean on run

https://www.cbssports.com/nfl/news/10-thin

Intel has partnerships with multiple Chinese surveillance companies sanctioned by the US for enabling human rights abuses, including Uniview and Hikvision (Emily Baker-White/Forbes)
https://www.forbes.com/sites/emilybaker-wh

Intel Worked With Chinese Firms Sanctioned For Enabling Human Rights Abuses
As the U.S. government takes a 10% stake in Intel, Forbes has learned the tech company partnered with sanctioned Chinese surveillance firms Uniview, Hikvision and Cloudwalk.

Matt Eberflus 'grateful' for experience as Bears HC, lessons he learned https://www.dallascowboys.com/news/matt-eberflus-grateful-for-experience-as-bears-hc-lessons-he-learned

Equivariant machine learning of Electric Field Gradients -- Predicting the quadrupolar coupling constant in the MAPbI$_3$ phase transition
Bernhard Schmiedmayer (Jop), J. W. Wolffs (Jop), Gilles A. de Wijs, Arno P. M. Kentgens, Jonathan Lahnsteiner, Georg Kresse
https://arxiv.org/abs/2507.19435

Equivariant machine learning of Electric Field Gradients -- Predicting the quadrupolar coupling constant in the MAPbI$_3$ phase transition
We present a strategy combining machine learning and first-principles calculations to achieve highly accurate nuclear quadrupolar coupling constant predictions. Our approach employs two distinct machine-learning frameworks: a machine-learned force field to generate molecular dynamics trajectories and a second model for electric field gradients that preserves rotational and translational symmetries. By incorporating thermostat-driven molecular dynamics sampling, we enable the prediction of quadr…

mark fisher was a blackwater kamikaze drone who learned he was a blackwater kamikaze drone, and this "haunted" him till the very end 😢

I think "dumb" or "stupid" best describe the choices you make and not the knowledge you have or do not have. I think "ignorance" better describe that.
My partner was amazed to learn that the moon does not generate light, but just reflects sunlight.
I've know this since I was a child because I had an interest in astronomy and they never had such and interest and just never thought about it or learned it.

Mammo-CLIP Dissect: A Framework for Analysing Mammography Concepts in Vision-Language Models
Suaiba Amina Salahuddin, Teresa Dorszewski, Marit Almenning Martiniussen, Tone Hovda, Antonio Portaluri, Solveig Thrun, Michael Kampffmeyer, Elisabeth Wetzer, Kristoffer Wickstr{\o}m, Robert Jenssen
https://arxiv.org/abs/2509.21102

Mammo-CLIP Dissect: A Framework for Analysing Mammography Concepts in Vision-Language Models
Understanding what deep learning (DL) models learn is essential for the safe deployment of artificial intelligence (AI) in clinical settings. While previous work has focused on pixel-based explainability methods, less attention has been paid to the textual concepts learned by these models, which may better reflect the reasoning used by clinicians. We introduce Mammo-CLIP Dissect, the first concept-based explainability framework for systematically dissecting DL vision models trained for mammogra…

2025 NFL preseason, Week 3: What We Learned from Saturday's games https://www.nfl.com/news/2025-nfl-preseason-week-3-what-we-learned-from-saturday-games

A pair of pass-rushers emerge: Five things we learned this week at Raiders training camp https://www.nytimes.com/athletic/6571874/2025/08/24/raiders-final-training-camp-practice-report/

Multi-Robot Vision-Based Task and Motion Planning for EV Battery Disassembly and Sorting
Abdelaziz Shaarawy, Cansu Erdogan, Rustam Stolkin, Alireza Rastegarpanah
https://arxiv.org/abs/2509.21020

Multi-Robot Vision-Based Task and Motion Planning for EV Battery Disassembly and Sorting
Electric-vehicle (EV) battery disassembly requires precise multi-robot coordination, short and reliable motions, and robust collision safety in cluttered, dynamic scenes. We propose a four-layer task-and-motion planning (TAMP) framework that couples symbolic task planning and cost- and accessibility-aware allocation with a TP-GMM-guided motion planner learned from demonstrations. Stereo vision with YOLOv8 provides real-time component localization, while OctoMap-based 3D mapping and FCL(Flexible…

Matt Eberflus 'grateful' for experience as Bears HC, lessons he learned https://www.dallascowboys.com/news/matt-eberflus-grateful-for-experience-as-bears-hc-lessons-he-learned

Vikings-Chargers on 'Thursday Night Football': What We Learned from Los Angeles' 37-10 win https://www.nfl.com/news/vikings-chargers-on-thursday-night-football-what-we-learned-from-los-angeles-37-10-win

Replaced article(s) found for cond-mat.mtrl-sci. https://arxiv.org/list/cond-mat.mtrl-sci/new
[1/1]:
- Radiation damage and phase stability of Al$_x$CrCuFeNi$_y$ alloys using a machine-learned interat...
Aslak Fellman, Jesper Byggm\"astar, Fredric Granberg, Flyura D…

LAVA: Explainability for Unsupervised Latent Embeddings
Ivan Stresec, Joana P. Gon\c{c}alves
https://arxiv.org/abs/2509.21149 https://arxiv.org/pdf/2509.21…

LAVA: Explainability for Unsupervised Latent Embeddings
Unsupervised black-box models can be drivers of scientific discovery, but remain difficult to interpret. Crucially, discovery hinges on understanding the model output, which is often a multi-dimensional latent embedding rather than a well-defined target. While explainability for supervised learning usually seeks to uncover how input features are used to predict a target, its unsupervised counterpart should relate input features to the structure of the learned latent space. Adaptations of superv…

Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation
Ashwath Vaithinathan Aravindan, Abha Jha, Matthew Salaway, Atharva Sandeep Bhide, Duygu Nur Yaldiz
https://arxiv.org/abs/2508.18235

Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation
Text-to-image diffusion models have revolutionized generative AI, but their vulnerability to backdoor attacks poses significant security risks. Adversaries can inject imperceptible textual triggers into training data, causing models to generate manipulated outputs. Although text-based backdoor defenses in classification models are well-explored, generative models lack effective mitigation techniques against. We address this by selectively erasing the model's learned associations between adversa…

Design Insights and Comparative Evaluation of a Hardware-Based Cooperative Perception Architecture for Lane Change Prediction
Mohamed Manzour, Catherine M. Elias, Omar M. Shehata, Rub\'en Izquierdo, Miguel \'Angel Sotelo
https://arxiv.org/abs/2509.20218

Design Insights and Comparative Evaluation of a Hardware-Based Cooperative Perception Architecture for Lane Change Prediction
Research on lane change prediction has gained attention in the last few years. Most existing works in this area have been conducted in simulation environments or with pre-recorded datasets, these works often rely on simplified assumptions about sensing, communication, and traffic behavior that do not always hold in practice. Real-world deployments of lane-change prediction systems are relatively rare, and when they are reported, the practical challenges, limitations, and lessons learned are oft…

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just learned china from cam and china died of cancer like a month ago. dont know much of their music but they have an amazing feature on my all time favorite hip hop album🕯
https://www.youtube.com/watch?v=5KsF2K19xkw

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