Tootfinder

"Self-hosting DNS for no fun, but a little profit!" – Morten Linderud
https://linderud.dev/blog/self-hosting-dns-for-no-fun-but-a-little-profit/

SSL-SSAW: Self-Supervised Learning with Sigmoid Self-Attention Weighting for Question-Based Sign Language Translation
Zekang Liu, Wei Feng, Fanhua Shang, Lianyu Hu, Jichao Feng, Liqing Gao
https://arxiv.org/abs/2509.14036

SSL-SSAW: Self-Supervised Learning with Sigmoid Self-Attention Weighting for Question-Based Sign Language Translation
Sign Language Translation (SLT) bridges the communication gap between deaf people and hearing people, where dialogue provides crucial contextual cues to aid in translation. Building on this foundational concept, this paper proposes Question-based Sign Language Translation (QB-SLT), a novel task that explores the efficient integration of dialogue. Unlike gloss (sign language transcription) annotations, dialogue naturally occurs in communication and is easier to annotate. The key challenge lies i…

The Intercepted Self: How Generative AI Challenges the Dynamics of the Relational Self
Sandrine R. Schiller, Camilo Miguel Signorelli, Filippos Stamatiou
https://arxiv.org/abs/2509.13391

The Intercepted Self: How Generative AI Challenges the Dynamics of the Relational Self
Generative AI is changing our way of interacting with technology, others, and ourselves. Systems such as Microsoft copilot, Gemini and the expected Apple intelligence still awaits our prompt for action. Yet, it is likely that AI assistant systems will only become better at predicting our behaviour and acting on our behalf. Imagine new generations of generative and predictive AI deciding what you might like best at a new restaurant, picking an outfit that increases your chances on your date with…

Internalizing Self-Consistency in Language Models: Multi-Agent Consensus Alignment
Ankur Samanta, Akshayaa Magesh, Youliang Yu, Runzhe Wu, Ayush Jain, Daniel Jiang, Boris Vidolov, Paul Sajda, Yonathan Efroni, Kaveh Hassani
https://arxiv.org/abs/2509.15172

Internalizing Self-Consistency in Language Models: Multi-Agent Consensus Alignment
Language Models (LMs) are inconsistent reasoners, often generating contradictory responses to identical prompts. While inference-time methods can mitigate these inconsistencies, they fail to address the core problem: LMs struggle to reliably select reasoning pathways leading to consistent outcomes under exploratory sampling. To address this, we formalize self-consistency as an intrinsic property of well-aligned reasoning models and introduce Multi-Agent Consensus Alignment (MACA), a reinforceme…

Towards Rationale-Answer Alignment of LVLMs via Self-Rationale Calibration
Yuanchen Wu, Ke Yan, Shouhong Ding, Ziyin Zhou, Xiaoqiang Li
https://arxiv.org/abs/2509.13919 https://…

Towards Rationale-Answer Alignment of LVLMs via Self-Rationale Calibration
Large Vision-Language Models (LVLMs) have manifested strong visual question answering capability. However, they still struggle with aligning the rationale and the generated answer, leading to inconsistent reasoning and incorrect responses. To this end, this paper introduces the Self-Rationale Calibration (SRC) framework to iteratively calibrate the alignment between rationales and answers. SRC begins by employing a lightweight "rationale fine-tuning" approach, which modifies the model's respons…

Trump declined to approve more than $400 million in military aid to Taiwan this summer,
as he tries to negotiate a trade deal and potential summit with Chinese leader Xi Jinping.

The decision, which may still be reversed, marks a U-turn in U.S. policy toward the self-governing island that China claims as its own territory.

Two people familiar with the matter said the package was worth more than $400 million and would have been “more lethal” than past rounds of aid to Taiwan…

Trump nixed $400 million in Taiwan military aid, pushing future arms sales
President Trump declined to approve more than $400M in military aid to Taiwan this summer, favoring future arms sales to the self-governing island China claims.

CollabVLA: Self-Reflective Vision-Language-Action Model Dreaming Together with Human
Nan Sun, Yongchang Li, Chenxu Wang, Huiying Li, Huaping Liu
https://arxiv.org/abs/2509.14889

CollabVLA: Self-Reflective Vision-Language-Action Model Dreaming Together with Human
In this work, we present CollabVLA, a self-reflective vision-language-action framework that transforms a standard visuomotor policy into a collaborative assistant. CollabVLA tackles key limitations of prior VLAs, including domain overfitting, non-interpretable reasoning, and the high latency of auxiliary generative models, by integrating VLM-based reflective reasoning with diffusion-based action generation under a mixture-of-experts design. Through a two-stage training recipe of action groundin…

Regular black holes with gravitational self-energy as dark matter
Kimet Jusufi, Douglas Singleton
https://arxiv.org/abs/2509.13335 https://arxiv.org/pdf/25…

Regular black holes with gravitational self-energy as dark matter
We incorporate the effect of non-local gravitational self-energy to obtain a neutral, non-singular spacetime geometry. This is achieved by using a non-local gravitational theory inspired by T-duality, where particle mass is not point-like but smeared over a region. This non-local gravitational self-interaction is derived from the Newtonian gravitational potential and energy density, allowing us to define a coordinate-independent quantity. Thus, we incorporate the non-local gravitational field i…

🔋 Self-assembling electrolyte enables rapid disassembly for easier EV battery recycling
https://techxplore.com/news/2025-08-electrolyte-enables-rapid-disassembly-easier.html

Self-assembling electrolyte enables rapid disassembly for easier EV battery recycling
Today's electric vehicle boom is tomorrow's mountain of electronic waste. And while myriad efforts are underway to improve battery recycling, many EV batteries still end up in landfills.

Don't miss today's Metacurity for the most critical infosec developments you should know, including
--A bona fide self-replicating worm has infected 187 npm packages,
--BreachForums founder hit with new three-year sentence,
--Coinbase beach suspect accused of participating in $500k bribery scheme,
--DHS intelligence arm exposed sensitive database,
--MSFT seized 338 sites linked to Raccoon0365 stealer,
--DeepSeek is biased against Falun Gong and oth…

A self-replicating worm has infected 187 npm packages
BreachForums founder hit with new three-year sentence, Coinbase breach suspect accused of participating in $500k+ bribery scheme, DHS intelligence arm exposed sensitive database, MSFT seized 338 sites linked to Raccoon0365 stealer, DeepSeek is biased against Falun Gong and others, much more

self esteem issues are the mind-killer. self esteem issues are the little-death that brings total obliteration. I will face my self esteem issues. I will permit them to pass over me and through me. and when they have gone past I will turn the inner eye to see their path. where the self esteem issues have gone there will be nothing. only I will remain. and hopefully i'll be cute

Self-learning AI releases NFL picks, score predictions every Week 12 game

https://www.cbssports.com/nfl/news/nfl-week-12-picks-score-predictions-predictions-best-bets/

In Planta Tattoo and Kirigami Sensors for Self-Powered Monitoring of Vapor Pressure Deficit and Growth Dynamics
Nafize Ishtiaque Hossain, Kundan Saha, Atul Sharma, Sameer Sonkusale
https://arxiv.org/abs/2509.14240

In Planta Tattoo and Kirigami Sensors for Self-Powered Monitoring of Vapor Pressure Deficit and Growth Dynamics
We report a scalable, self-powered in planta sensor platform for continuous monitoring of plant hydration and growth. The system integrates two components a leaf mounted tattoo sensor for estimating vapor pressure deficit and a kirigami inspired strain sensor for tracking radial stem growth. Uniquely, the tattoo sensor serves a dual function measuring temperature and humidity beneath the leaf surface while simultaneously harvesting power from ambient moisture via a vanadium pentoxide nanosheet …

On the Hausdorff dimension of geodesics with bounded self-intersection angle
Joaqu\'in Lejtreger
https://arxiv.org/abs/2509.14825 https://arxiv.org/pdf…

On the Hausdorff dimension of geodesics with bounded self-intersection angle
We expand a result of Birman and Series (1985) by proving that the set of geodesics whose self-intersection angles are bounded from below has Hausdorff dimension zero. In addition, we show that the set of geodesics that do not bound a geodesic triangle also has Hausdorff dimension zero.

Sources: Nvidia is in advanced talks to invest $500M in UK self-driving car startup Wayve, as part of a broader £2B funding pledge in UK startups (Tim Bradshaw/Financial Times)
https://www.ft.com/content/cec76ea1-2cc1-4da3-a9e9-1d76aaa50afc

Circuit-based chatacterization of finite-temperature quantum phases and self-correcting quantum memory
Ruochen Ma, Vedika Khemani, Shengqi Sang
https://arxiv.org/abs/2509.15204 …

Circuit-based chatacterization of finite-temperature quantum phases and self-correcting quantum memory
Quantum phases at zero temperature can be characterized as equivalence classes under local unitary transformations: two ground states within a gapped phase can be transformed into each other via a local unitary circuit. We generalize this circuit-based characterization of phases to systems at finite-temperature thermal equilibrium described by Gibbs states. We construct a channel circuit that approximately transforms one Gibbs state into another provided the two are connected by a path in param…

Personalized Detection of Stress via hdrEEG: Linking Neuro-markers to Cortisol, HRV, and Self-Report
N. B. Maimon, Ganit Baruchin, Itamar Grotto, Nathan Intrator, Talya Zeimer, Ofir Chibotero, Efrat Danino
https://arxiv.org/abs/2509.13875

Personalized Detection of Stress via hdrEEG: Linking Neuro-markers to Cortisol, HRV, and Self-Report
Chronic stress is a major risk factor for cognitive decline, neurodegenerative disease, and systemic health burden, underscoring the need for reliable individual-level biomarkers of stress reactivity. While cortisol, heart rate variability (HRV), and self-report measures are widely used, they provide limited insight into neural mechanisms. Here, we tested whether two single-channel hdrEEG biomarkers, ST4 and T2, serve as personalized indices of stress regulation by linking neural activity to va…

Reasoning Efficiently Through Adaptive Chain-of-Thought Compression: A Self-Optimizing Framework
Kerui Huang, Shuhan Liu, Xing Hu, Tongtong Xu, Lingfeng Bao, Xin Xia
https://arxiv.org/abs/2509.14093

Reasoning Efficiently Through Adaptive Chain-of-Thought Compression: A Self-Optimizing Framework
Chain-of-Thought (CoT) reasoning enhances Large Language Models (LLMs) by prompting intermediate steps, improving accuracy and robustness in arithmetic, logic, and commonsense tasks. However, this benefit comes with high computational costs: longer outputs increase latency, memory usage, and KV-cache demands. These issues are especially critical in software engineering tasks where concise and deterministic outputs are required. To investigate these trade-offs, we conduct an empirical study base…

@… incredible run: appreciate the honest and heartfelt post — a level of self awareness we should all aspire to ❤️
look forward to a more healthy future for you!

Update of the Higgs Self-coupling Projections from Di-Higgs Production in Detailed Simulation of the ILD Concept
Mikael Berggren, Bryan Bliewert, Jenny List, Dimitris Ntounis, Taikan Suehara, Junping Tian, Julie Munch Torndal, Caterina Vernieri
https://arxiv.org/abs/2509.14148

Update of the Higgs Self-coupling Projections from Di-Higgs Production in Detailed Simulation of the ILD Concept
This contribution summarizes the update of the projections for the determination of the tri-linear Higgs self-coupling from di-Higgs production at future $e^+e^-$ colliders. In particular, we will present an update of the analysis of $ZHH$ production at 500 GeV in detailed simulations of the ILD concept, covering the $HH\rightarrow b\bar{b}b\bar{b}$ and $Z\rightarrow q\bar{q} / e^+e^- / μ^+μ^- /ν\barν$ channels. Based on the experience of previous analyses, we will extrapolate these to cont…

petster: Pet owner social networks (2016)
A network of friendships among users on catster.com and dogster.com. Node represents a user, and edge exists if two users self-identify as friends on either website. The dogster/catster network also contains family links between dog and dog, cat and cat, as well as dog and cat.
This network has 623766 nodes and 15699276 edges.
Tags: Social, Online, Unweighted

In one case, it turns out that an all-male client group was giving vicious beratings (undeserved!) to a female project manager when they had her cornered alone. I had no idea.
In the moment, I found those men kind of obnoxiously self-confident in their ignorance, but nothing worse. Later they want on a Trumpian scorched earth campaign trying not to pay everyone for work already done and threatening lawsuits willy nilly. They turned out to be horrible people. Missing that early red flag of misogyny cost us all — but especially that manager.
2/

It's hard to motivate yourself to do stuff, especially do hard stuff if all you can think about is what a failure you are https://www.overcomecompulsivehoarding.co.uk/podcast-ep-190-self-compassion-shame-hoarding/

On the Local-to-Global Principle for Zero-Cycles on Self Products of Elliptic Curves with CM
Michael Wills
https://arxiv.org/abs/2509.13641 https://arxiv.o…

On the Local-to-Global Principle for Zero-Cycles on Self Products of Elliptic Curves with CM
For a smooth projective variety $X$ defined over a global field $K$, one can form a notion of Weak Approximation for the Chow group of zero-cycles of $X$. There exists a Brauer-Manin obstruction to Weak Approximation here akin to that for rational points. However, unlike for rational points, it is conjectured that this obstruction is the only one; early versions of this conjecture date back to work of Colliot-Thélène and Sansuc (1981) and of Kato and Saito (1986). In this paper, we provide ev…

A Scalable Formula for the Moments of a Family of Self-Normalized Statistics
Haolin Zou, Heyuan Yao, Victor de la Pe\~na
https://arxiv.org/abs/2509.14428 https://

A Scalable Formula for the Moments of a Family of Self-Normalized Statistics
Following the student t-statistic, normalization has been a widely used method in statistic and other disciplines including economics, ecology and machine learning. We focus on statistics taking the form of a ratio over (some power of) the sample mean, the probabilistic features of which remain unknown. We develop a unified formula for the moments of these self-normalized statistics with non-negative observations, yielding closed-form expressions for several important cases. Moreover, the compl…

Trump dumping shit on protesters in a video he posted himself is not a headline in the New York Times. This tells us everything about the level of self-censorship and acceptance of fascism and authoritarianism. In any other normal democratic country this would be a headline...
#trump #fascism

SV-Mixer: Replacing the Transformer Encoder with Lightweight MLPs for Self-Supervised Model Compression in Speaker Verification
Jungwoo Heo, Hyun-seo Shin, Chan-yeong Lim, Kyo-won Koo, Seung-bin Kim, Jisoo Son, Ha-Jin Yu
https://arxiv.org/abs/2509.14136

SV-Mixer: Replacing the Transformer Encoder with Lightweight MLPs for Self-Supervised Model Compression in Speaker Verification
Self-supervised learning (SSL) has pushed speaker verification accuracy close to state-of-the-art levels, but the Transformer backbones used in most SSL encoders hinder on-device and real-time deployment. Prior compression work trims layer depth or width yet still inherits the quadratic cost of self-attention. We propose SV-Mixer, the first fully MLP-based student encoder for SSL distillation. SV-Mixer replaces Transformer with three lightweight modules: Multi-Scale Mixing for multi-resolution …

DSCC-HS: A Dynamic Self-Reinforcing Framework for Hallucination Suppression in Large Language Models
Xiao Zheng
https://arxiv.org/abs/2509.13702 https://ar…

DSCC-HS: A Dynamic Self-Reinforcing Framework for Hallucination Suppression in Large Language Models
Large Language Model (LLM) hallucination is a significant barrier to their reliable deployment. Current methods like Retrieval-Augmented Generation (RAG) are often reactive. We introduce **Dynamic Self-reinforcing Calibration for Hallucination Suppression (DSCC-HS)**, a novel, proactive framework that intervenes during autoregressive decoding. Inspired by dual-process cognitive theory, DSCC-HS uses a compact proxy model, trained in adversarial roles as a Factual Alignment Proxy (FAP) and a Hall…

Stadtlebende #Waschbären in den USA zeigen Anzeichen von Selbst-Domestikation.
Forschende fanden heraus, dass ihre #Schnauzen kürzer sind als die ihrer ländlichen Artgenossen, ein typisches Merkmal des sogenannten

Raccoons Appear To Be Self-Domesticating Themselves In US Cities
Trash pandas are becoming more pet-like.

New theoretical predictions on Type II Cepheids: towards a self consistent Pop. II distance scale
Marcella Marconi, Roberto Molinaro, Vincenzo Ripepi, Giulia De Somma, Teresa Sicignano, Mami Deka, Marcella Di Criscienzo, Emanuela Luongo, Ilaria Musella, Erasmo Trentin
https://arxiv.org/abs/2509.13552…

New theoretical predictions on Type II Cepheids: towards a self consistent Pop. II distance scale
Type II Cepheids are pulsating stars that can be used as standard candles for old stellar populations due to their characteristic Period-Luminosity and Period-Luminosity-Colour relations. They are traditionally divided in 3 sub-classes, namely BL Her, W Vir and RV Tauri. In this paper we focus on the first two sub-classes, to provide a new theoretical scenario and develop tools and relations to be adopted in distance scale and old stellar populations studies. We have built new nonlinear convect…

#NowPlaying another great punk LP, this one is from 2018, the self-titled debut record 'Color TV' by Minnesota's COLOR TV. There's great hooky guitar lines all over this one. Kind of a Dickies feel sometimes, mixed maybe with the snottiness of The Briefs? Hadn't heard these guys-- a band to watch, for sure.

During "Lois & Clark", Teri Hatcher was a self-centered diva while Dean Cain was thoughtful & kind.
Today, Hatcher supports positive social causes while Cain is a neo-Nazi, extremist Christian member of ICE.
▶️ Dean Cain's weird transformation explained by Teri Hatcher
https://y…

The FCC hasn't denied any license renewals in decades and the legal battle would be long, so Brendan Carr's threats are designed to make the media self-censor (CNN)
https://view.newsletters.cnn.com/messages/1758286615238bb1f6cfd45f0/raw

There's some rich scientific literature on volunteering and how volunteer motivations change and shift from initial engagement to sustained contributing, including some work we've done in that space around motivations for engaging with self-research communities.
Maybe it's time for a another blog post to look at that in more detail 😅

“Self-examination is great but no need to fall into the assesspool of self-judgment.”

-- Swami Beyondananda
Swami’s Daily Laughsitive (stolen from his email list)
#Humor

TransforMARS: Fault-Tolerant Self-Reconfiguration for Arbitrarily Shaped Modular Aerial Robot Systems
Rui Huang, Zhiyu Gao, Siyu Tang, Jialin Zhang, Lei He, Ziqian Zhang, Lin Zhao
https://arxiv.org/abs/2509.14025

TransforMARS: Fault-Tolerant Self-Reconfiguration for Arbitrarily Shaped Modular Aerial Robot Systems
Modular Aerial Robot Systems (MARS) consist of multiple drone modules that are physically bound together to form a single structure for flight. Exploiting structural redundancy, MARS can be reconfigured into different formations to mitigate unit or rotor failures and maintain stable flight. Prior work on MARS self-reconfiguration has solely focused on maximizing controllability margins to tolerate a single rotor or unit fault for rectangular-shaped MARS. We propose TransforMARS, a general fault…

I hear:
― "The actual self-hosted server itself could be … in a bookshelf in an office …"
I see, at this precise moment:
― on his bookshelf, an archaic console with a floppy disk drive.
Thank you, nikau.

Also, why do I see these things? 🙃
https://

I’d love to, but at $400/head? Fuck that.

Great comment by @…:
«[…] private institutions are fundamentally extractive. Decisions are made on the basis of profit or some similar self-serving motivation. They provide as little as possible for the revenue they receive. Public institutions, by contrast, are fundamentally constructive. They exist to promote the social good or (if we believe Mark Carney) s…

A generative model of function growth explains hidden self-similarities across biological and social systems
James Holehouse, S. Redner, Vicky Chuqiao Yang, P. L. Krapivsky, Jose Ignacio Arroyo, Geoffrey B West, Chris Kempes, Hyejin Youn
https://arxiv.org/abs/2509.14468

A generative model of function growth explains hidden self-similarities across biological and social systems
From genomes and ecosystems to bureaucracies and cities, the growth of complex systems occurs by adding new types of functions and expanding existing ones. We present a simple generative model that generalizes the Yule-Simon process by including: (i) a size-dependent probability of introducing new functions, and (ii) a generalized preferential attachment mechanism for expanding existing ones. We uncover a shared underlying structure that helps explain how function diversity evolves in empirical…

RIP to this #SolyTech power supply in one of my old #TigerDirect #Systemax clunkers. It just failed spectacularly with a tick-tick-tick, a large burst of yellow sparks, a loud buzz, and acrid ozoney smoke.…

Quenched properties of the Spectral Form Factor
Dimitrios Charamis, Manas Kulkarni, Jorge Kurchan, Laura Foini
https://arxiv.org/abs/2509.14406 https://arx…

Quenched properties of the Spectral Form Factor
The Spectral Form Factor (SFF) is defined as the modulus squared of the partition function in complex temperature for hermitian matrices and a suitable generalisation has been given in the non hermitian case. In this work we compute the properties of the quenched SFF for hermitian and non hermitian random matrices. Despite the fact that the (annealed) SFF is not self-averaging the quenched SFF is self-averaging but these two averages coincide up to subleading constants (at least for high enough…

Understand Before You Generate: Self-Guided Training for Autoregressive Image Generation
Xiaoyu Yue, Zidong Wang, Yuqing Wang, Wenlong Zhang, Xihui Liu, Wanli Ouyang, Lei Bai, Luping Zhou
https://arxiv.org/abs/2509.15185

Understand Before You Generate: Self-Guided Training for Autoregressive Image Generation
Recent studies have demonstrated the importance of high-quality visual representations in image generation and have highlighted the limitations of generative models in image understanding. As a generative paradigm originally designed for natural language, autoregressive models face similar challenges. In this work, we present the first systematic investigation into the mechanisms of applying the next-token prediction paradigm to the visual domain. We identify three key properties that hinder th…

"More than a century ago, a wild-eyed, vegetarian, free love-promoting German entrepreneur and self-taught economist named Silvio Gesell proposed a radical reformation of the monetary system as we know it. He wanted to make money that decays over time. "
https://www.noemamag.com/what-if-money-exp

Falcons vs. 49ers NFL player props: Self-learning AI backs Michael Penix Jr. over 30.5 pass attempts on SNF

https://www.cbssports.com/nfl/news/falcons-49ers-nfl…

Efficient Solutions for Mitigating Initialization Bias in Unsupervised Self-Adaptive Auditory Attention Decoding
Yuanyuan Yao, Simon Geirnaert, Tinne Tuytelaars, Alexander Bertrand
https://arxiv.org/abs/2509.14764

Efficient Solutions for Mitigating Initialization Bias in Unsupervised Self-Adaptive Auditory Attention Decoding
Decoding the attended speaker in a multi-speaker environment from electroencephalography (EEG) has attracted growing interest in recent years, with neuro-steered hearing devices as a driver application. Current approaches typically rely on ground-truth labels of the attended speaker during training, necessitating calibration sessions for each user and each EEG set-up to achieve optimal performance. While unsupervised self-adaptive auditory attention decoding (AAD) for stimulus reconstruction ha…

Slim-SC: Thought Pruning for Efficient Scaling with Self-Consistency
Colin Hong, Xu Guo, Anand Chaanan Singh, Esha Choukse, Dmitrii Ustiugov
https://arxiv.org/abs/2509.13990 htt…

Slim-SC: Thought Pruning for Efficient Scaling with Self-Consistency
Recently, Test-Time Scaling (TTS) has gained increasing attention for improving LLM reasoning performance at test time without retraining the model. A notable TTS technique is Self-Consistency (SC), which generates multiple reasoning chains in parallel and selects the final answer via majority voting. While effective, the order-of-magnitude computational overhead limits its broad deployment. Prior attempts to accelerate SC mainly rely on model-based confidence scores or heuristics with limited …

Crosslisted article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[1/4]:
- Self-Supervised and Topological Signal-Quality Assessment for Any PPG Device
Wei Shao, Ruoyu Zhang, Zequan Liang, Ehsan Kourkchi, Setareh Rafatirad, Houman Homayoun

The true #matrix experience, it spins then errors out.
@… I honestly gave matrix a try (self hosting) but this is ridiculous, I’m unable to enter an unencrypted chat room. This is now before and after the cloudflare downtime

Meta CTO says the technical issues during live demos of its new smart glasses were due to a self-inflicted DDoS and a bug that put Zuckerberg's glasses to sleep (Jess Weatherbed/The Verge)
https://www.theverge.com/news/781730/meta-explains-live-ai-s…

Meta’s failed smart glasses demos had nothing to do with the Wi-Fi
‘We DDoS’d ourselves, basically.‘

Accurate Trust Evaluation for Effective Operation of Social IoT Systems via Hypergraph-Enabled Self-Supervised Contrastive Learning
Botao Zhu, Xianbin Wang
https://arxiv.org/abs/2509.12240

Accurate Trust Evaluation for Effective Operation of Social IoT Systems via Hypergraph-Enabled Self-Supervised Contrastive Learning
Social Internet-of-Things (IoT) enhances collaboration between devices by endowing IoT systems with social attributes. However, calculating trust between devices based on complex and dynamic social attributes-similar to trust formation mechanisms in human society-poses a significant challenge. To address this issue, this paper presents a new hypergraph-enabled self-supervised contrastive learning (HSCL) method to accurately determine trust values between devices. To implement the proposed HSCL,…

Large-Scale Self-Powered Vibration Control: Theory and Experiment
Connor Ligeikis, Heath Hofmann, Jeff Scruggs
https://arxiv.org/abs/2509.11346 https://arx…

Large-Scale Self-Powered Vibration Control: Theory and Experiment
A self-powered system is a control technology that powers itself by harvesting energy from exogenous disturbances. This article details the design and experimental validation of a prototype self-powered vibration control system, for larger-scale applications (i.e., power flows above 1W and forces on the order of 1kN.) The prototype consists of a linear ballscrew coupled with a permanent-magnet synchronous machine. A custom three-phase inverter is used to control power flow, and a custom half-br…

The self-assembly behavior of a diblock copolymer/homopolymer induced by Janus nanorods
Y. Q. Guo, J. Liu, H. R. He, N. Wu, J. J. Zhang
https://arxiv.org/abs/2509.12788 https://…

The self-assembly behavior of a diblock copolymer/homopolymer induced by Janus nanorods
We employ cell dynamics simulation based on the CH/BD model to investigate the self-assembly behavior of a mixed system consisting of diblock copolymers (AB), homopolymers (C), and Janus nanorods. The results indicate that, at different component ratios, the mixed system undergoes various phase transitions with an increasing number of nanorods. Specifically, when the homopolymer component is 0.40, the mixed system transitions from a disordered structure to a parallel lamellar structure, subsequ…

petster: Pet owner social networks (2016)
A network of friendships among users on catster.com and dogster.com. Node represents a user, and edge exists if two users self-identify as friends on either website. The dogster/catster network also contains family links between dog and dog, cat and cat, as well as dog and cat.
This network has 623766 nodes and 15699276 edges.
Tags: Social, Online, Unweighted

Online influencer Andrew Tate,
a self-described misogynist who has millions of young male followers,
was facing allegations of sex trafficking women in three countries
when he and his brother left their home in Romania to visit the United States.
“The Tates will be free,
Trump is the president.
The good old days are back,”
Tate posted on X before the trip in February
— one of many times he has sung the president’s praises to his fans.
But…

The White House Intervened on Behalf of Accused Sex Trafficker Andrew Tate During a Federal Investigation
Federal authorities were chided for seizing electronic devices from Tate and his brother, and told to return them, records and interviews show. Experts said the intervention was highly inappropriate.

Bias in the tensor-to-scalar ratio from self-interacting dark radiation
Nahuel Mir\'on-Granese, Claudia G. Sc\'occola
https://arxiv.org/abs/2509.10607 https://

Bias in the tensor-to-scalar ratio from self-interacting dark radiation
We investigate the cosmological imprint of self-interacting dark radiation (DR) on the primordial $B$-mode angular power spectrum and its impact on the estimation of the tensor-to-scalar ratio $r$. We consider a minimal model in which DR is described as an effectively massless axion-like particle with quartic self-interactions. These interactions are incorporated into the Einstein-Boltzmann equations using the relaxation time approximation and implemented in the $\texttt{CLASS}$ code. We show t…

Dehoarding, I think, is a million small steps. And that's exhausting, but you don't get to the tenth step if you don't take the first step https://www.overcomecompulsivehoarding.co.uk/podcast-ep-190-self-compassion-shame-hoarding/

Self-intersection of the Torelli map
Lycka Drakengren
https://arxiv.org/abs/2509.12449 https://arxiv.org/pdf/2509.12449

Self-intersection of the Torelli map
The Torelli map $t\colon \mathcal{M}^{ct}_g \to \mathcal{A}_g$ is far from an immersion for $g\geq 3$: the self-fiber product of the Torelli map for $g\geq 3$ has several components with nontrivial intersections. We give a stratification of the self-fiber product for arbitrary genus and describe how components in the fiber product intersect. In genus $4$, the Torelli fiber product is nonreduced, which we prove by analyzing the expansion of the period map near a nodal curve. We use the geometry …

Important self-defense lecture:
https://www.instagram.com/reel/DLxnJl1PZ6v/?igsh=MzQwazY4MGJnZmo5
🤣

Data-Efficient Psychiatric Disorder Detection via Self-supervised Learning on Frequency-enhanced Brain Networks
Mujie Liu, Mengchu Zhu, Qichao Dong, Ting Dang, Jiangang Ma, Jing Ren, Feng Xia
https://arxiv.org/abs/2509.10524

Data-Efficient Psychiatric Disorder Detection via Self-supervised Learning on Frequency-enhanced Brain Networks
Psychiatric disorders involve complex neural activity changes, with functional magnetic resonance imaging (fMRI) data serving as key diagnostic evidence. However, data scarcity and the diverse nature of fMRI information pose significant challenges. While graph-based self-supervised learning (SSL) methods have shown promise in brain network analysis, they primarily focus on time-domain representations, often overlooking the rich information embedded in the frequency domain. To overcome these lim…

""[…] There is only one correct metric that should be counted when dealing with software, and that is the user's cognitive load. […] If my Windows/Python/Notepad setup is more ubiquitous, understandable, intuitive and replicable than your obscure Arch/Hyprland build with its hundred painstakingly typed-out customizations for every single software in it, then my setup is better and more minimalist than yours. Full stop. […]""

SpecDiff: Accelerating Diffusion Model Inference with Self-Speculation
Jiayi Pan, Jiaming Xu, Yongkang Zhou, Guohao Dai
https://arxiv.org/abs/2509.13848 https://

SpecDiff: Accelerating Diffusion Model Inference with Self-Speculation
Feature caching has recently emerged as a promising method for diffusion model acceleration. It effectively alleviates the inefficiency problem caused by high computational requirements by caching similar features in the inference process of the diffusion model. In this paper, we analyze existing feature caching methods from the perspective of information utilization, and point out that relying solely on historical information will lead to constrained accuracy and speed performance. And we prop…

Maestro: Self-Improving Text-to-Image Generation via Agent Orchestration
Xingchen Wan, Han Zhou, Ruoxi Sun, Hootan Nakhost, Ke Jiang, Rajarishi Sinha, Sercan \"O. Ar{\i}k
https://arxiv.org/abs/2509.10704

Maestro: Self-Improving Text-to-Image Generation via Agent Orchestration
Text-to-image (T2I) models, while offering immense creative potential, are highly reliant on human intervention, posing significant usability challenges that often necessitate manual, iterative prompt engineering over often underspecified prompts. This paper introduces Maestro, a novel self-evolving image generation system that enables T2I models to autonomously self-improve generated images through iterative evolution of prompts, using only an initial prompt. Maestro incorporates two key innov…

Is Anubis still the state of the art in self-host scraper bot defence or are people using other things now?

Self-Guided Target Sound Extraction and Classification Through Universal Sound Separation Model and Multiple Clues
Younghoo Kwon, Dongheon Lee, Dohwan Kim, Jung-Woo Choi
https://arxiv.org/abs/2509.13741

Self-Guided Target Sound Extraction and Classification Through Universal Sound Separation Model and Multiple Clues
This paper introduces a multi-stage self-directed framework designed to address the spatial semantic segmentation of sound scene (S5) task in the DCASE 2025 Task 4 challenge. This framework integrates models focused on three distinct tasks: Universal Sound Separation (USS), Single-label Classification (SC), and Target Sound Extraction (TSE). Initially, USS breaks down a complex audio mixture into separate source waveforms. Each of these separated waveforms is then processed by a SC block, gener…

dblp_cite: DBLP citations (2014)
Citations among papers contained in the DBLP computer science bibliography. If a paper i cites a paper j also in this data set, then a directed edge connects i to j. (Papers not in the data set are excluded.) Self-loops may be present. This snapshot from May 2014.
This network has 12590 nodes and 49759 edges.
Tags: Informational, Citation, Unweighted

"More than a century ago, a wild-eyed, vegetarian, free love-promoting German entrepreneur and self-taught economist named Silvio Gesell proposed a radical reformation of the monetary system as we know it. He wanted to make money that decays over time. "
https://www.noemamag.com/what-if-money-exp

A Self-Organized Model for the Flicker Noise in Interacting Two-Dimensional Electron Gas
Maryam Pirgholi, Morteza Nattagh Najafi, Vadood Adami
https://arxiv.org/abs/2509.13090 h…

A Self-Organized Model for the Flicker Noise in Interacting Two-Dimensional Electron Gas
We investigate self-organized criticality in a two-dimensional electron gas (2DEG) by introducing a lattice-based model that incorporates electron-electron interactions through the concept of coherence length. Our numerical simulations demonstrate that in the strongly interacting regime, the system exhibits a distinct set of universal critical exponents, markedly different from those observed in the weakly interacting limit. This dichotomy aligns with experimental findings on the metal-insulato…

SMARTER: A Data-efficient Framework to Improve Toxicity Detection with Explanation via Self-augmenting Large Language Models
Huy Nghiem, Advik Sachdeva, Hal Daum\'e III
https://arxiv.org/abs/2509.15174

SMARTER: A Data-efficient Framework to Improve Toxicity Detection with Explanation via Self-augmenting Large Language Models
WARNING: This paper contains examples of offensive materials. Toxic content has become pervasive on social media platforms. We introduce SMARTER, a data-efficient two-stage framework for explainable content moderation using Large Language Models (LLMs). In Stage 1, we leverage LLMs' own outputs to generate synthetic explanations for both correct and incorrect labels, enabling alignment via preference optimization with minimal human supervision. In Stage 2, we refine explanation quality through …

Trump nixed $400 million in Taiwan military aid, angling for future arms sales
The fastest way to fortify Taiwan’s military is by directly shipping U.S. arms,
a process known as Presidential Drawdown Authority, or PDA.
The Biden administration approved three such packages for Taiwan while in office, alongside another round of long-term military aid, totaling more than $2 billion.

Trump has promised a more transactional U.S. foreign policy and does not support sendin…

Trump nixed $400 million in Taiwan military aid, pushing future arms sales
President Trump declined to approve more than $400M in military aid to Taiwan this summer, favoring future arms sales to the self-governing island China claims.

Crosslisted article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[3/4]:
- SpecDiff: Accelerating Diffusion Model Inference with Self-Speculation
Jiayi Pan, Jiaming Xu, Yongkang Zhou, Guohao Dai

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins
Erblin Isaku, Hassan Sartaj, Shaukat Ali, Beatriz Sanguino, Tongtong Wang, Guoyuan Li, Houxiang Zhang, Thomas Peyrucain
https://arxiv.org/abs/2509.12982

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins
Self-adaptive robots (SARs) in complex, uncertain environments must proactively detect and address abnormal behaviors, including out-of-distribution (OOD) cases. To this end, digital twins offer a valuable solution for OOD detection. Thus, we present a digital twin-based approach for OOD detection (ODiSAR) in SARs. ODiSAR uses a Transformer-based digital twin to forecast SAR states and employs reconstruction error and Monte Carlo dropout for uncertainty quantification. By combining reconstructi…

@…
THIS HOUSE WE BELIEVE:
SCREAMING IS SELF-CARE

🥄 'Self-fixturing' friction stir technique removes barriers for US manufacturing
https://techxplore.com/news/2025-09-fixturing-friction-technique-barriers.html

'Self-fixturing' friction stir technique removes barriers for US manufacturing
A spinning tool plunges into two pieces of metal, rotating at a high rate of speed. As the tool begins to move, it softens and mixes the metal, creating a powerful weld—one that can securely join similar and dissimilar materials (particularly metals and alloys) without rivets, fasteners, or adhesive. This advanced manufacturing technique—called friction stir welding—requires only a fraction of the energy required by conventional techniques, but it isn't used on many assembly lines today.

Observable thin accretion disk around a self-dual black hole in loop quantum gravity
Tursunali Xamidov, Javokhir Sharipov, Sanjar Shaymatov
https://arxiv.org/abs/2509.10953 http…

Observable thin accretion disk around a self-dual black hole in loop quantum gravity
In this paper, we study a self-dual black hole (BH) in Loop Quantum Gravity (LQG), analyzing both timelike and null geodesics. Using observational data from Mercury's perihelion shift and the orbit of the S2 star around Sagittarius A$^{\star}$ (Sgr A$^{\star}$), we derive constraints on the polymeric function $P$. We further investigate photon trajectories near the self-dual BH under various scenarios to explore their observational relevance. Finally, we examine the properties of accretion disk…

"Already paranoid about scams, hacks and market turmoil, wealthy crypto investors have lately become terrified about a much graver threat: torture and kidnapping."
https://www.nytimes.com/2025/11/17/business/how-to-not-get-kidnapped-for-you…

How to Not Get Kidnapped for Your Bitcoin
Escaping zipties, hiring bodyguards and other practical lessons in self-defense for crypto traders, after a series of gruesome crimes spooked the community.

Weakly and Self-Supervised Class-Agnostic Motion Prediction for Autonomous Driving
Ruibo Li, Hanyu Shi, Zhe Wang, Guosheng Lin
https://arxiv.org/abs/2509.13116 https://

Weakly and Self-Supervised Class-Agnostic Motion Prediction for Autonomous Driving
Understanding motion in dynamic environments is critical for autonomous driving, thereby motivating research on class-agnostic motion prediction. In this work, we investigate weakly and self-supervised class-agnostic motion prediction from LiDAR point clouds. Outdoor scenes typically consist of mobile foregrounds and static backgrounds, allowing motion understanding to be associated with scene parsing. Based on this observation, we propose a novel weakly supervised paradigm that replaces motion…

BabyHuBERT: Multilingual Self-Supervised Learning for Segmenting Speakers in Child-Centered Long-Form Recordings
Th\'eo Charlot, Tarek Kunze, Maxime Poli, Alejandrina Cristia, Emmanuel Dupoux, Marvin Lavechin
https://arxiv.org/abs/2509.15001

BabyHuBERT: Multilingual Self-Supervised Learning for Segmenting Speakers in Child-Centered Long-Form Recordings
Child-centered long-form recordings are essential for studying early language development, but existing speech models trained on clean adult data perform poorly due to acoustic and linguistic differences. We introduce BabyHuBERT, the first self-supervised speech representation model trained on 13,000 hours of multilingual child-centered long-form recordings spanning over 40 languages. We evaluate BabyHuBERT on speaker segmentation, identifying when target children speak versus female adults, ma…

Evaluating the Limits of QAOA Parameter Transfer at High-Rounds on Sparse Ising Models With Geometrically Local Cubic Terms
Elijah Pelofske, Marek Rams, Andreas B\"artschi, Piotr Czarnik, Paolo Braccia, Lukasz Cincio, Stephan Eidenbenz
https://arxiv.org/abs/2509.13528

Evaluating the Limits of QAOA Parameter Transfer at High-Rounds on Sparse Ising Models With Geometrically Local Cubic Terms
The emergent practical applicability of the Quantum Approximate Optimization Algorithm (QAOA) for approximate combinatorial optimization is a subject of considerable interest. One of the primary limitations of QAOA is the task of finding a set of good parameters. Parameter transfer is a phenomenon where QAOA angles trained on problem instances that are self-similar tend to perform well for other problem instances from that similar class. This suggests a potentially highly efficient and scalable…

Trump nixed $400 million in Taiwan military aid, angling for future arms sales
The fastest way to fortify Taiwan’s military is by directly shipping U.S. arms,
a process known as Presidential Drawdown Authority, or PDA.
The Biden administration approved three such packages for Taiwan while in office, alongside another round of long-term military aid, totaling more than $2 billion.

Trump has promised a more transactional U.S. foreign policy and does not support sendin…

Trump nixed $400 million in Taiwan military aid, pushing future arms sales
President Trump declined to approve more than $400M in military aid to Taiwan this summer, favoring future arms sales to the self-governing island China claims.

HARNESS: Lightweight Distilled Arabic Speech Foundation Models
Vrunda N. sukhadia, Shammur Absar Chowdhury
https://arxiv.org/abs/2509.14689 https://arxiv.o…

HARNESS: Lightweight Distilled Arabic Speech Foundation Models
Large pre-trained speech models excel in downstream tasks but their deployment is impractical for resource-limited environments. In this paper, we introduce HArnESS, the first Arabic-centric self-supervised speech model family, designed to capture Arabic speech nuances. Using iterative self-distillation, we train large bilingual HArnESS (HL) SSL models and then distill knowledge into compressed student models (HS, HST), preserving Arabic-specific representations. We use low-rank approximation t…

Adapting and Evaluating Multimodal Large Language Models for Adolescent Idiopathic Scoliosis Self-Management: A Divide and Conquer Framework
Zhaolong Wu, Pu Luo, Jason Pui Yin Cheung, Teng Zhang
https://arxiv.org/abs/2509.11645

Adapting and Evaluating Multimodal Large Language Models for Adolescent Idiopathic Scoliosis Self-Management: A Divide and Conquer Framework
This study presents the first comprehensive evaluation of Multimodal Large Language Models (MLLMs) for Adolescent Idiopathic Scoliosis (AIS) self-management. We constructed a database of approximately 3,000 anteroposterior X-rays with diagnostic texts and evaluated five MLLMs through a `Divide and Conquer' framework consisting of a visual question-answering task, a domain knowledge assessment task, and a patient education counseling assessment task. Our investigation revealed limitations of MLL…

Tokyo-based Turing, which is developing an AI model for self-driving vehicles, raised a $99M Series A, sources say at a ~$388M valuation (Min-Jeong Lee/Bloomberg)
https://www.bloomberg.com/news/articles/2025-11-17/ai-startup-t…

The best NFL games on TV for the rest of 2025: Defending champs vs. defending MVP https://www.nytimes.com/athletic/6808271/2025/11/19/philadelphia-eagles-buffalo-bills-josh-allen-nfl-week-17/

Quantum fields on self-similar spacetimes
Jochen Zahn
https://arxiv.org/abs/2509.10360 https://arxiv.org/pdf/2509.10360

Quantum fields on self-similar spacetimes
We study (scalar, not necessarily conformal) quantum fields on self-similar spacetimes. It is shown that in states respecting the self-similarity the expectation value of the stress tensor gives rise to a quantum Lyapunov exponent $ω_q = 2$, with a leading coefficient which is geometric. Two examples for states respecting self-similarity are discussed. Our findings are in contradiction with results obtained via dimensional reduction.

😰 Miami Is Testing a Self-Driving Police Car That Can Launch Drones
https://www.thedrive.com/news/miami-is-testing-a-self-driving-police-car-that-can-launch-drones

Miami Is Testing a Self-Driving Police Car That Can Launch Drones
Meet the new surveillance state trooper!

Self-Supervised and Topological Signal-Quality Assessment for Any PPG Device
Wei Shao, Ruoyu Zhang, Zequan Liang, Ehsan Kourkchi, Setareh Rafatirad, Houman Homayoun
https://arxiv.org/abs/2509.12510

Self-Supervised and Topological Signal-Quality Assessment for Any PPG Device
Wearable photoplethysmography (PPG) is embedded in billions of devices, yet its optical waveform is easily corrupted by motion, perfusion loss, and ambient light, jeopardizing downstream cardiometric analytics. Existing signal-quality assessment (SQA) methods rely either on brittle heuristics or on data-hungry supervised models. We introduce the first fully unsupervised SQA pipeline for wrist PPG. Stage 1 trains a contrastive 1-D ResNet-18 on 276 h of raw, unlabeled data from heterogeneous sour…

Self-Augmented Robot Trajectory: Efficient Imitation Learning via Safe Self-augmentation with Demonstrator-annotated Precision
Hanbit Oh, Masaki Murooka, Tomohiro Motoda, Ryoichi Nakajo, Yukiyasu Domae
https://arxiv.org/abs/2509.09893

Self-Augmented Robot Trajectory: Efficient Imitation Learning via Safe Self-augmentation with Demonstrator-annotated Precision
Imitation learning is a promising paradigm for training robot agents; however, standard approaches typically require substantial data acquisition -- via numerous demonstrations or random exploration -- to ensure reliable performance. Although exploration reduces human effort, it lacks safety guarantees and often results in frequent collisions -- particularly in clearance-limited tasks (e.g., peg-in-hole) -- thereby, necessitating manual environmental resets and imposing additional human burden.…

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[6/6]:
- SMARTER: A Data-efficient Framework to Improve Toxicity Detection with Explanation via Self-augme...
Huy Nghiem, Advik Sachdeva, Hal Daum\'e III

Automaker Stellantis and Pony.ai sign a non-binding agreement to develop robotaxis for deployment in Europe, with plans to start testing in the coming months (Rebecca Bellan/TechCrunch)
https://techcrunch.com/2025/10/17/stellantis-teams-up-w…

Stellantis teams up with Pony AI to develop robotaxis in Europe  | TechCrunch
The collaboration will integrate Pony’s self-driving software into Stellantis’ electric medium-size van platform, which is built with advanced sensors to support autonomous vehicles.

Curriculum Multi-Task Self-Supervision Improves Lightweight Architectures for Onboard Satellite Hyperspectral Image Segmentation
Hugo Carlesso, Josiane Mothe, Radu Tudor Ionescu
https://arxiv.org/abs/2509.13229

Curriculum Multi-Task Self-Supervision Improves Lightweight Architectures for Onboard Satellite Hyperspectral Image Segmentation
Hyperspectral imaging (HSI) captures detailed spectral signatures across hundreds of contiguous bands per pixel, being indispensable for remote sensing applications such as land-cover classification, change detection, and environmental monitoring. Due to the high dimensionality of HSI data and the slow rate of data transfer in satellite-based systems, compact and efficient models are required to support onboard processing and minimize the transmission of redundant or low-value data, e.g. cloud-…

petster: Pet owner social networks (2016)
A network of friendships among users on catster.com and dogster.com. Node represents a user, and edge exists if two users self-identify as friends on either website. The dogster/catster network also contains family links between dog and dog, cat and cat, as well as dog and cat.
This network has 623766 nodes and 15699276 edges.
Tags: Social, Online, Unweighted

SI-FACT: Mitigating Knowledge Conflict via Self-Improving Faithfulness-Aware Contrastive Tuning
Shengqiang Fu
https://arxiv.org/abs/2509.10208 https://arxi…

SI-FACT: Mitigating Knowledge Conflict via Self-Improving Faithfulness-Aware Contrastive Tuning
Large Language Models often generate unfaithful responses in knowledge intensive tasks due to knowledge conflict,that is,a preference for relying on internal parametric knowledge rather than the provided context.To address this issue,we propose a novel self improving framework,Self Improving Faithfulness Aware Contrastive Tuning.The framework uses a self instruct mechanism that allows the base LLM to automatically generate high quality,structured contrastive learning data,including anchor sampl…

CSMoE: An Efficient Remote Sensing Foundation Model with Soft Mixture-of-Experts
Leonard Hackel, Tom Burgert, Beg\"um Demir
https://arxiv.org/abs/2509.14104 https://…

CSMoE: An Efficient Remote Sensing Foundation Model with Soft Mixture-of-Experts
Self-supervised learning through masked autoencoders has attracted great attention for remote sensing (RS) foundation model (FM) development, enabling improved representation learning across diverse sensors and downstream tasks. However, existing RS FMs often either suffer from substantial computational complexity during both training and inference or exhibit limited representational capacity. These issues restrict their practical applicability in RS. To address this limitation, we propose an a…

A look at training sessions hosted by robotaxi companies, like Zoox, to teach first responders how to handle emergencies involving self-driving cars (Lisa Bonos/Washington Post)

A new challenge for emergency workers: Learning how to handle a robotaxi
Police and firefighters are getting trained on how to respond to emergencies involving self-driving cars — or pull them over in a traffic stop.

Masked Feature Modeling Enhances Adaptive Segmentation
Wenlve Zhou, Zhiheng Zhou, Tiantao Xian, Yikui Zhai, Weibin Wu, Biyun Ma
https://arxiv.org/abs/2509.13801 https://

Masked Feature Modeling Enhances Adaptive Segmentation
Unsupervised domain adaptation (UDA) for semantic segmentation aims to transfer models from a labeled source domain to an unlabeled target domain. While auxiliary self-supervised tasks-particularly contrastive learning-have improved feature discriminability, masked modeling approaches remain underexplored in this setting, largely due to architectural incompatibility and misaligned optimization objectives. We propose Masked Feature Modeling (MFM), a novel auxiliary task that performs feature mas…

A profile of Polymarket CEO Shayne Coplan, whose estimated 11% stake is now worth $1B following ICE's $2B investment, as its rivalry with Kalshi intensifies (Forbes)
https://www.forbes.com/sites/aliciap…

Crypto’s Fastest-Growing Startup Mints World’s Youngest Self-Made Billionaire
A $2 billion investment from NYSE parent ICE vaults Polymarket’s 27 year-old founder Shayne Coplan into the three-comma club and intensifies its rivalry with prediction market competitor Kalshi.

MammoDINO: Anatomically Aware Self-Supervision for Mammographic Images
Sicheng Zhou, Lei Wu, Cao Xiao, Parminder Bhatia, Taha Kass-Hout
https://arxiv.org/abs/2510.11883 https://…

MammoDINO: Anatomically Aware Self-Supervision for Mammographic Images
Self-supervised learning (SSL) has transformed vision encoder training in general domains but remains underutilized in medical imaging due to limited data and domain specific biases. We present MammoDINO, a novel SSL framework for mammography, pretrained on 1.4 million mammographic images. To capture clinically meaningful features, we introduce a breast tissue aware data augmentation sampler for both image-level and patch-level supervision and a cross-slice contrastive learning objective that l…

SSL-AD: Spatiotemporal Self-Supervised Learning for Generalizability and Adaptability Across Alzheimer's Prediction Tasks and Datasets
Emily Kaczmarek, Justin Szeto, Brennan Nichyporuk, Tal Arbel
https://arxiv.org/abs/2509.10453

SSL-AD: Spatiotemporal Self-Supervised Learning for Generalizability and Adaptability Across Alzheimer's Prediction Tasks and Datasets
Alzheimer's disease is a progressive, neurodegenerative disorder that causes memory loss and cognitive decline. While there has been extensive research in applying deep learning models to Alzheimer's prediction tasks, these models remain limited by lack of available labeled data, poor generalization across datasets, and inflexibility to varying numbers of input scans and time intervals between scans. In this study, we adapt three state-of-the-art temporal self-supervised learning (SSL) approach…