{"date":"2026-05-21","schema_version":1,"captured_at":"2026-08-25T23:09:20.404Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":18},"attention":[{"title":"The Boys season 5","views":344553,"rank":3,"extract":"The fifth and final season of the American satirical superhero television series The Boys, the first series in the franchise based on the comic book series of the same name created by Garth Ennis and Darick Robertson, was developed for television by Eric Kripk","url":"https://en.wikipedia.org/wiki/The_Boys_season_5","thumb":"https://upload.wikimedia.org/wikipedia/en/9/9b/The_Boys_Season_5.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"Thomas Massie","views":218583,"rank":5,"extract":"Thomas Harold Massie is an American politician and engineer. 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In this study, we compare several approaches to automatically learn injury precursors from raw construction accident reports. More precisely, we experiment with two state-of-t","authors":["Baker, Henrietta","Hallowell, Matthew R.","Tixier, Antoine J. -P."],"url":"https://arxiv.org/abs/1907.11769","arxiv_id":"1907.11769","published":"2026-05-21"},{"title":"AI-based Prediction of Independent Construction Safety Outcomes from Universal Attributes","abstract":"This paper significantly improves on, and finishes to validate, an approach proposed in previous research in which safety outcomes were predicted from attributes with machine learning. Like in the original study, we use Natural Language Processing (NLP) to extract fundamental attributes from raw incident reports and machine learning models are trained to predict safety outcomes. The outcomes predicted here are injury","authors":["Baker, Henrietta","Hallowell, Matthew R.","Tixier, Antoine J. -P."],"url":"https://arxiv.org/abs/1908.05972","arxiv_id":"1908.05972","published":"2026-05-21"},{"title":"Guided Facial Skin Color Correction","abstract":"This paper proposes an automatic image correction method for portrait photographs, which promotes consistency of facial skin color by suppressing skin color changes due to background colors. In portrait photographs, skin color is often distorted due to the lighting environment (e.g., light reflected from a colored background wall and over-exposure by a camera strobe), and if the photo is artificially combined with an","authors":["Shirai, Keiichiro","Baba, Tatsuya","Ono, Shunsuke","Okuda, Masahiro","Tatesumi, Yusuke","Perrotin, Paul"],"url":"https://arxiv.org/abs/2105.09034","arxiv_id":"2105.09034","published":"2026-05-21"},{"title":"From Width-Based Model Checking to Width-Based Automated Theorem Proving","abstract":"In the field of parameterized complexity theory, the study of graph width measures has been intimately connected with the development of width-based model checking algorithms for combinatorial properties on graphs. In this work, we introduce a general framework to convert a large class of width-based model-checking algorithms into algorithms that can be used to test the validity of graph-theoretic conjectures on clas","authors":["Oliveira, Mateus de Oliveira","Urmian, Sam"],"url":"https://arxiv.org/abs/2205.10995","arxiv_id":"2205.10995","published":"2026-05-21"},{"title":"PREF: Phasorial Embedding Fields for Compact Neural Representations","abstract":"We present an efficient frequency-based neural representation termed PREF: a shallow MLP augmented with a phasor volume that covers significant border spectra than previous Fourier feature mapping or Positional Encoding. At the core is our compact 3D phasor volume where frequencies distribute uniformly along a 2D plane and dilate along a 1D axis. To this end, we develop a tailored and efficient Fourier transform that","authors":["Huang, Binbin","Yan, Xinhao","Chen, Anpei","Gao, Shenghua","Yu, Jingyi"],"url":"https://arxiv.org/abs/2205.13524","arxiv_id":"2205.13524","published":"2026-05-21"},{"title":"Deep learning applied to computational mechanics: A comprehensive review, state of the art, and the classics","abstract":"Three recent breakthroughs due to AI in arts and science serve as motivation: An award winning digital image, protein folding, fast matrix multiplication. Many recent developments in artificial neural networks, particularly deep learning (DL), applied and relevant to computational mechanics (solid, fluids, finite-element technology) are reviewed in detail. Both hybrid and pure machine learning (ML) methods are discus","authors":["Vu-Quoc, Loc","Humer, Alexander"],"url":"https://arxiv.org/abs/2212.08989","arxiv_id":"2212.08989","published":"2026-05-21"},{"title":"The Score-Difference Flow for Implicit Generative Modeling","abstract":"Implicit generative modeling (IGM) aims to produce samples of synthetic data matching the characteristics of a target data distribution. Recent work (e.g. score-matching networks, diffusion models) has approached the IGM problem from the perspective of pushing synthetic source data toward the target distribution via dynamical perturbations or flows in the ambient space. In this direction, we present the score differe","authors":["Weber, Romann M."],"url":"https://arxiv.org/abs/2304.12906","arxiv_id":"2304.12906","published":"2026-05-21"},{"title":"AI-Augmented Surveys: Leveraging Large Language Models and Surveys for Opinion Prediction","abstract":"Nationally representative surveys track public opinion, yet they ask only a limited set of questions each year, limiting its potential to capture historical changes. To fill this gap, we develop a large language model (LLM)-based framework for predicting missing responses in repeated cross-sectional surveys by incorporating embeddings for questions, respondents, and survey periods. We introduce two new applications o","authors":["Kim, Junsol","Lee, Byungkyu"],"url":"https://arxiv.org/abs/2305.09620","arxiv_id":"2305.09620","published":"2026-05-21"},{"title":"Mercer Large-Scale Kernel Machines from Ridge Function Perspective","abstract":"To present Mercer large-scale kernel machines from a ridge function perspective, we recall the results by Lin and Pinkus from {\\it Fundamentality of ridge functions}. We consider the main result of the recent paper by Rachimi and Recht, 2008, {\\it Random features for large-scale kernel machines} from the Approximation Theory point of view. We study which kernels could be approximated by a sum of products of cosine fu","authors":["Dziedziul, Karol","Kryzhevich, Sergey","Wieczyński, Paweł"],"url":"https://arxiv.org/abs/2307.11925","arxiv_id":"2307.11925","published":"2026-05-21"},{"title":"On the Suboptimality of GP-UCB under Polynomial Effective Optimism","abstract":"Gaussian process upper confidence bound (GP-UCB) is widely used for sequential optimization of expensive black-box functions. Although many upper bounds on its cumulative regret have been established in the literature, whether GP-UCB is minimax optimal remains open. We study this question through the effective optimism level, defined as the product of the exploration coefficient and the regularization parameter in ke","authors":["Wang, Wenjia","Zhang, Xiaowei"],"url":"https://arxiv.org/abs/2312.01386","arxiv_id":"2312.01386","published":"2026-05-21"},{"title":"Fuzzy Convolution Neural Networks for Tabular Data Classification","abstract":"Recently, convolution neural networks (CNNs) have attracted a great deal of attention due to their remarkable performance in various domains, particularly in image and text classification tasks. However, their application to tabular data classification remains underexplored. There are many fields such as bioinformatics, finance, medicine where nonimage data are prevalent. Adaption of CNNs to classify nonimage data re","authors":["Kulkarni, Arun D."],"url":"https://arxiv.org/abs/2406.03506","arxiv_id":"2406.03506","published":"2026-05-21"},{"title":"CARACAS: vehiCular ArchitectuRe for detAiled Can Attacks Simulation","abstract":"Modern vehicles are increasingly vulnerable to attacks that exploit network infrastructures, particularly the Controller Area Network (CAN) networks. To effectively counter such threats using contemporary tools like Intrusion Detection Systems (IDSs) based on data analysis and classification, large datasets of CAN messages become imperative. This paper delves into the feasibility of generating synthetic datasets by h","authors":["Kirdi, Sadek Misto","Scarano, Nicola","Oberti, Franco","Mannella, Luca","Di Carlo, Stefano","Savino, Alessandro"],"url":"https://arxiv.org/abs/2406.07125","arxiv_id":"2406.07125","published":"2026-05-21"},{"title":"E2GS: Event Enhanced Gaussian Splatting","abstract":"Event cameras, known for their high dynamic range, absence of motion blur, and low energy usage, have recently found a wide range of applications thanks to these attributes. In the past few years, the field of event-based 3D reconstruction saw remarkable progress, with the Neural Radiance Field (NeRF) based approach demonstrating photorealistic view synthesis results. However, the volume rendering paradigm of NeRF ne","authors":["Deguchi, Hiroyuki","Masuda, Mana","Nakabayashi, Takuya","Saito, Hideo"],"url":"https://arxiv.org/abs/2406.14978","arxiv_id":"2406.14978","published":"2026-05-21"},{"title":"Optical Quantum Mixed-State Reconstruction With Multiple Deep Learning Approaches","abstract":"Quantum state tomography is a crucial technique for characterizing the state of a quantum system, which is essential for many applications in quantum technologies. In recent years, there has been growing interest in leveraging neural networks to enhance the efficiency and accuracy of quantum state tomography. However, versatile methods that are broadly applicable across diverse reconstruction scenarios remain relativ","authors":["Luu, Nhan Trong","Nguyen, Tuyen Quang","Luu, Duong Trung","Truong, Thang Cong"],"url":"https://arxiv.org/abs/2407.01734","arxiv_id":"2407.01734","published":"2026-05-21"},{"title":"Computational-Statistical Trade-off in Kernel Two-Sample Testing with Random Fourier Features","abstract":"Recent years have seen a surge in methods for two-sample testing, among which the Maximum Mean Discrepancy (MMD) test has emerged as an effective tool for handling complex and high-dimensional data. Despite its success and widespread adoption, the primary limitation of the MMD test has been its quadratic-time complexity, which poses challenges for large-scale analysis. While various approaches have been proposed to e","authors":["Choi, Ikjun","Kim, Ilmun"],"url":"https://arxiv.org/abs/2407.08976","arxiv_id":"2407.08976","published":"2026-05-21"},{"title":"TRAM: Test-Time Risk Adaptation with Mixture of Agents","abstract":"Deployed reinforcement learning agents often face safety requirements that are specified only after training, such as new hazard maps, revised risk thresholds, or behavioral alignment constraints. We study zero-update deployment-time adaptation, where a fixed library of risk-neutral source policies is reused under a newly specified reward-risk tradeoff. We propose TRAM (Test-Time Risk Adaptation via Mixture of Agents","authors":["Chehade, Mohamad Fares El Hajj","Bedi, Amrit Singh","Zhang, Amy","Zhu, Hao"],"url":"https://arxiv.org/abs/2408.08812","arxiv_id":"2408.08812","published":"2026-05-21"},{"title":"Optimization Hyper-parameter Laws for Large Language Models","abstract":"Large Language Models have driven significant AI advancements, yet their training is resource-intensive and highly sensitive to hyper-parameter selection. While scaling laws provide valuable guidance on model size and data requirements, they fall short in choosing dynamic hyper-parameters, such as learning-rate (LR) schedules, that evolve during training. To bridge this gap, we present Optimization Hyper-parameter La","authors":["Xie, Xingyu","Ding, Kuangyu","Yan, Shuicheng","Toh, Kim-Chuan","Wei, Tianwen"],"url":"https://arxiv.org/abs/2409.04777","arxiv_id":"2409.04777","published":"2026-05-21"},{"title":"Personalized Weight Loss Management through Wearable Devices and Artificial Intelligence","abstract":"Early detection of chronic and Non-Communicable Diseases (NCDs) is crucial for effective treatment during the initial stages. This study explores the application of wearable devices and Artificial Intelligence (AI) in order to predict weight loss changes in overweight and obese individuals. Using wearable data from a 1-month trial involving around 100 subjects from the AI4FoodDB database, including biomarkers, vital ","authors":["Romero-Tapiador, Sergio","Tolosana, Ruben","Morales, Aythami","Lacruz-Pleguezuelos, Blanca","Pastor, Sofia Bosch","Marcos-Zambrano, Laura Judith"],"url":"https://arxiv.org/abs/2409.08700","arxiv_id":"2409.08700","published":"2026-05-21"},{"title":"Explainable and Human-Grounded AI for Decision Support Systems: The Theory of Epistemic Quasi-Partnerships","abstract":"In the context of AI decision support systems (AI-DSS), we argue that meeting the demands of ethical and explainable AI (XAI) is about developing AI-DSS to provide human decision-makers with three types of human-grounded explanations: reasons, counterfactuals, and confidence, an approach we refer to as the RCC approach. We begin by reviewing current empirical XAI literature that investigates the relationship between ","authors":["Dorsch, John","Moll, Maximilian"],"url":"https://arxiv.org/abs/2409.14839","arxiv_id":"2409.14839","published":"2026-05-21"},{"title":"SLIDE: A machine-learning based method for forced dynamic response estimation of multibody systems","abstract":"In computational engineering, enhancing the simulation speed and efficiency is a perpetual goal. To fully take advantage of neural network techniques and hardware, we present the SLiding-window Initially-truncated Dynamic-response Estimator (SLIDE), a deep learning-based method designed to estimate output sequences of mechanical or multibody systems with primarily, but not exclusively, forced excitation. A key advant","authors":["Manzl, Peter","Humer, Alexander","Khadim, Qasim","Gerstmayr, Johannes"],"url":"https://arxiv.org/abs/2409.18272","arxiv_id":"2409.18272","published":"2026-05-21"},{"title":"A Systematic Comparison between Extractive Self-Explanations and Human Rationales in Text Classification","abstract":"Instruction-tuned LLMs are able to provide \\textit{an} explanation about their output to users by generating self-explanations, without requiring the application of complex interpretability techniques. In this paper, we analyse whether this ability results in a \\textit{good} explanation. We evaluate self-explanations in the form of input rationales with respect to their plausibility to humans. We study three text cla","authors":["Brandl, Stephanie","Eberle, Oliver"],"url":"https://arxiv.org/abs/2410.03296","arxiv_id":"2410.03296","published":"2026-05-21"},{"title":"Toxic Subword Pruning for Dialogue Response Generation on Large Language Models","abstract":"How to defend large language models (LLMs) from generating toxic content is an important research area. Yet, most research focused on various model training techniques to remediate LLMs by updating their weights. A typical related research area is safety alignment. This however is often costly and tedious and can expose the model to even more problems such as catastrophic forgetting if the trainings are not carefully","authors":["Lu, Hongyuan","Lam, Wai"],"url":"https://arxiv.org/abs/2410.04155","arxiv_id":"2410.04155","published":"2026-05-21"},{"title":"Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models","abstract":"The ability to discover new materials with desirable properties is critical for numerous applications from helping mitigate climate change to advances in next generation computing hardware. AI has the potential to accelerate materials discovery and design by more effectively exploring the chemical space compared to other computational methods or by trial-and-error. While substantial progress has been made on AI for m","authors":["Barroso-Luque, Luis","Shuaibi, Muhammed","Fu, Xiang","Wood, Brandon M.","Dzamba, Misko","Gao, Meng"],"url":"https://arxiv.org/abs/2410.12771","arxiv_id":"2410.12771","published":"2026-05-21"},{"title":"Dictionary Insertion Prompting for Multilingual Reasoning on Multilingual Large Language Models","abstract":"There are two shortages in the current Large Language Models (LLMs) era. The first is short of multilingual models, where most LLMs are English-centric and performance is limited on multilingual reasoning. The second is the place of external knowledge to be used, where most retrieved knowledge is prepended to the user queries (maybe sub-optimal). This paper presents a novel and simple yet effective method called \\tex","authors":["Lu, Hongyuan","Li, Zixuan","Lam, Wai"],"url":"https://arxiv.org/abs/2411.01141","arxiv_id":"2411.01141","published":"2026-05-21"},{"title":"SMILE-UHURA Challenge -- Small Vessel Segmentation at Mesoscopic Scale from Ultra-High Resolution 7T Magnetic Resonance Angiograms","abstract":"The human brain receives nutrients and oxygen through an intricate network of blood vessels. Pathology affecting small vessels, at the mesoscopic scale, represents a critical vulnerability within the cerebral blood supply and can lead to severe conditions, such as Cerebral Small Vessel Diseases. The advent of 7 Tesla MRI systems has enabled the acquisition of higher spatial resolution images, making it possible to vi","authors":["Chatterjee, Soumick","Mattern, Hendrik","Dörner, Marc","Sciarra, Alessandro","Dubost, Florian","Schnurre, Hannes"],"url":"https://arxiv.org/abs/2411.09593","arxiv_id":"2411.09593","published":"2026-05-21"}],"history":{"events":[{"year":2024,"text":"The Greenfield tornado, estimated to have produced winds in excess of 309 miles per hour (497 km/h), moved across Iowa.","url":"https://en.wikipedia.org/wiki/Greenfield_tornado"},{"year":2015,"text":"Islamic State militants entered the ancient city of Palmyra.","url":"https://en.wikipedia.org/wiki/Islamic_State"},{"year":2014,"text":"A Taiwanese man carried out a stabbing spree on a Taipei Metro train, killing four people and injuring 24 others.","url":"https://en.wikipedia.org/wiki/2014_Taipei_Metro_attack"},{"year":2005,"text":"The world's tallest roller coaster, Kingda Ka, opened at Six Flags Great Adventure in Jackson, New Jersey, U.S.","url":"https://en.wikipedia.org/wiki/Roller_coaster"},{"year":1998,"text":"Indonesian president Suharto resigned after a collapse of support for his presidency amid economic and political crises, ending 32 years in power.","url":"https://en.wikipedia.org/wiki/Suharto"},{"year":1991,"text":"Former Indian prime minister Rajiv Gandhi was assassinated by a suicide bomber in Sriperumbudur, Tamil Nadu.","url":"https://en.wikipedia.org/wiki/Rajiv_Gandhi"},{"year":1946,"text":"While working with a mass of plutonium known as the demon core, Manhattan Project physicist Louis Slotin accidentally exposed himself to a lethal dose of hard radiation, making him the second victim of a criticality accident in history.","url":"https://en.wikipedia.org/wiki/Plutonium"},{"year":1927,"text":"Aboard the Spirit of St. Louis, American aviator Charles Lindbergh (pictured) completed the first solo non-stop transatlantic flight, flying from Roosevelt Field near New York City to Paris–Le Bourget Airport.","url":"https://en.wikipedia.org/wiki/Spirit_of_St._Louis"},{"year":1925,"text":"The opera Doktor Faust, unfinished when composer Ferruccio Busoni (pictured) died, was premiered in Dresden.","url":"https://en.wikipedia.org/wiki/Doktor_Faust"},{"year":1924,"text":"University of Chicago students Nathan Leopold Jr. and Richard Loeb (both pictured) murdered a 14-year-old boy in a thrill killing out of a desire to commit a \"perfect crime\".","url":"https://en.wikipedia.org/wiki/University_of_Chicago"},{"year":1917,"text":"The Imperial War Graves Commission was established by royal charter to mark, record and maintain the graves and places of commemoration of British Empire military forces.","url":"https://en.wikipedia.org/wiki/Commonwealth_War_Graves_Commission"},{"year":1911,"text":"Mexican president Porfirio Díaz and the revolutionary Francisco I. Madero signed the Treaty of Ciudad Juárez to end hostilities between each other's forces, concluding the initial phase of the Mexican Revolution.","url":"https://en.wikipedia.org/wiki/Porfirio_D%C3%ADaz"},{"year":1864,"text":"American Civil War: The inconclusive Battle of Spotsylvania Court House in Virginia ended with combined Union and Confederate casualties totaling around 31,000.","url":"https://en.wikipedia.org/wiki/American_Civil_War"},{"year":1856,"text":"A crowd of about 800 pro-slavery Americans ransacked the town of Lawrence, Kansas.","url":"https://en.wikipedia.org/wiki/Sacking_of_Lawrence"},{"year":1851,"text":"The Congress of Colombia passed a law abolishing slavery in the country, to take effect at the beginning of the new year.","url":"https://en.wikipedia.org/wiki/Congress_of_Colombia"},{"year":1703,"text":"English writer Daniel Defoe was imprisoned for seditious libel after publishing a pamphlet that was perceived to satirise the Tory publications about Dissenters.","url":"https://en.wikipedia.org/wiki/Daniel_Defoe"},{"year":1138,"text":"The Crusades: The siege of Shaizar ended, and the Emir of Shaizar became a vassal of the Byzantine Empire.","url":"https://en.wikipedia.org/wiki/Crusades"},{"year":878,"text":"Arab–Byzantine wars: The city of Syracuse was captured by the Aghlabids (pictured) as part of the Muslim conquest of Sicily.","url":"https://en.wikipedia.org/wiki/Arab%E2%80%93Byzantine_wars"}],"births":[{"year":2002,"text":"Elena Huelva, Spanish cancer activist and influencer (died 2023)","url":"https://en.wikipedia.org/wiki/Elena_Huelva"},{"year":1997,"text":"Ivan De Santis, Italian footballer","url":"https://en.wikipedia.org/wiki/Ivan_De_Santis"},{"year":1997,"text":"Sisca Folkertsma, Dutch footballer","url":"https://en.wikipedia.org/wiki/Sisca_Folkertsma"},{"year":1997,"text":"Viktoria Petryk, Ukrainian singer-songwriter","url":"https://en.wikipedia.org/wiki/Viktoria_Petryk"},{"year":1997,"text":"Kevin Quinn, American actor and singer","url":"https://en.wikipedia.org/wiki/Kevin_Quinn_(actor)"},{"year":1996,"text":"Josh Allen, American football player","url":"https://en.wikipedia.org/wiki/Josh_Allen"},{"year":1996,"text":"Indy de Vroome, Dutch tennis player","url":"https://en.wikipedia.org/wiki/Indy_de_Vroome"},{"year":1996,"text":"Karen Khachanov, Russian tennis player","url":"https://en.wikipedia.org/wiki/Karen_Khachanov"}],"deaths":[{"year":2026,"text":"Kyle Busch, American race car driver and owner (born 1985)","url":"https://en.wikipedia.org/wiki/Kyle_Busch"},{"year":2025,"text":"Gerry Connolly, American politician, U.S. Representative from Virginia's 11th congressional district (born 1950)","url":"https://en.wikipedia.org/wiki/Gerry_Connolly"},{"year":2024,"text":"Jan A. P. Kaczmarek, Polish composer (born 1953)","url":"https://en.wikipedia.org/wiki/Jan_A._P._Kaczmarek"},{"year":2020,"text":"Alan Merten, fifth President of George Mason University (born 1941)","url":"https://en.wikipedia.org/wiki/Alan_Merten"},{"year":2019,"text":"Rik Kuypers, Belgian film director (born 1925)","url":"https://en.wikipedia.org/wiki/Rik_Kuypers"},{"year":2019,"text":"Binyavanga Wainaina, Kenyan writer (born 1971)","url":"https://en.wikipedia.org/wiki/Binyavanga_Wainaina"},{"year":2016,"text":"Nick Menza, American drummer and songwriter (born 1964)","url":"https://en.wikipedia.org/wiki/Nick_Menza"},{"year":2015,"text":"Annarita Sidoti, Italian race walker (born 1969)","url":"https://en.wikipedia.org/wiki/Annarita_Sidoti"}]},"sources":[{"id":"attention","name":"Wikipedia most-read","url":"https://api.wikimedia.org","licence":"CC BY-SA 4.0","attribution":"Wikipedia contributors"},{"id":"frontier","name":"Hacker News","url":"https://news.ycombinator.com","licence":"Public API — titles and links, credited","attribution":"Hacker News / Y Combinator"},{"id":"research","name":"arXiv cs.AI","url":"https://arxiv.org","licence":"Open metadata, per arXiv API terms","attribution":"arXiv.org"},{"id":"history","name":"Wikipedia On this day","url":"https://api.wikimedia.org","licence":"CC BY-SA 4.0","attribution":"Wikipedia contributors"}],"licence":"Records are CC BY-SA 4.0, inheriting from Wikipedia. Every item links to its source."}