{"date":"2026-07-28","schema_version":1,"captured_at":"2026-08-25T23:17:45.495Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":17},"attention":[{"title":"The Odyssey (2026 film)","views":581815,"rank":4,"extract":"The Odyssey is a 2026 epic action fantasy film written and directed by Christopher Nolan, who produced it with his wife Emma Thomas. An adaptation of Homer's ancient Greek epic poem the Odyssey, it stars an ensemble cast including Matt Damon, Tom Holland, Anne","url":"https://en.wikipedia.org/wiki/The_Odyssey_(2026_film)","thumb":"https://upload.wikimedia.org/wikipedia/en/9/90/The_Odyssey_%282026_film%29_poster.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"Bill Oddie","views":341705,"rank":5,"extract":"William Edgar Oddie was an English comedian, conservationist, television presenter and writer. 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Invariably, some individuals in the image are more important than others given the context of the event. This paper analyzes the concept of the importance of individuals in group photographs. We address two specific questions -- Given an image, who are the most important individuals in i","authors":["Mathialagan, Clint Solomon","Gallagher, Andrew C.","Batra, Dhruv"],"url":"https://arxiv.org/abs/1502.05678","arxiv_id":"1502.05678","published":"2026-07-28"},{"title":"Deep Learning Estimation of Absorbed Dose for Nuclear Medicine Diagnostics","abstract":"In radionuclide therapy with $^{177}\\mathrm{Lu}$, the absorbed-dose distribution can be approximated by convolving the time-integrated activity distribution with a dose voxel kernel for a single tissue type. This approximation is fast but inaccurate: it treats the body as homogeneous and therefore ignores the tissue heterogeneity that governs where energy is deposited. The heterogeneity can be recovered by combining ","authors":["Melodia, Luciano"],"url":"https://arxiv.org/abs/1805.09108","arxiv_id":"1805.09108","published":"2026-07-28"},{"title":"Like a Baby: Visually Situated Neural Language Acquisition","abstract":"We examine the benefits of visual context in training neural language models to perform next-word prediction. A multi-modal neural architecture is introduced that outperform its equivalent trained on language alone with a 2% decrease in perplexity, even when no visual context is available at test. Fine-tuning the embeddings of a pre-trained state-of-the-art bidirectional language model (BERT) in the language modeling","authors":["Ororbia, Alexander G.","Mali, Ankur","Kelly, Mary Alexandria","Reitter, David"],"url":"https://arxiv.org/abs/1805.11546","arxiv_id":"1805.11546","published":"2026-07-28"},{"title":"Hierarchical Reinforcement Learning with Optimal Level Synchronization Based on Flow-Based Deep Generative Model","abstract":"High-dimensional state and action spaces combined with sparse reward structures in reinforcement learning (RL) environments typically require advanced control architectures. Hierarchical Reinforcement Learning (HRL) demonstrates superior performance compared to atomic RL approaches in these challenging scenarios. HRL can manage the complexity of commands to achieve task objectives through its hierarchical structure. ","authors":["Kim, JaeYoon","Xuan, Junyu","Liang, Christy","Hussain, Farookh"],"url":"https://arxiv.org/abs/2107.08183","arxiv_id":"2107.08183","published":"2026-07-28"},{"title":"On a linear fused Gromov-Wasserstein distance for graph structured data","abstract":"We present a framework for embedding graph structured data into a vector space, taking into account node features and topology of a graph into the optimal transport (OT) problem. Then we propose a novel distance between two graphs, named linearFGW, defined as the Euclidean distance between their embeddings. The advantages of the proposed distance are twofold: 1) it can take into account node feature and structure of ","authors":["Nguyen, Dai Hai","Tsuda, Koji"],"url":"https://arxiv.org/abs/2203.04711","arxiv_id":"2203.04711","published":"2026-07-28"},{"title":"Click prediction boosting via Bayesian hyperparameter optimization based ensemble learning pipelines","abstract":"Online travel agencies (OTA's) advertise their website offers on meta-search bidding engines. The problem of predicting the number of clicks a hotel would receive for a given bid amount is an important step in the management of an OTA's advertisement campaign on a meta-search engine, because bid times number of clicks defines the cost to be generated. Various regressors are ensembled in this work to improve c","authors":["Demirel, Çağatay","Tokuç, A. Aylin","Tekin, Ahmet Tezcan"],"url":"https://arxiv.org/abs/2206.03592","arxiv_id":"2206.03592","published":"2026-07-28"},{"title":"Transfer learning for conflict and duplicate detection in software requirement pairs","abstract":"Consistent and holistic expression of software requirements is important for the success of software projects. In this study, we aim to enhance the efficiency of the software development processes by automatically identifying conflicting and duplicate software requirement specifications. We formulate the conflict and duplicate detection problem as a requirement pair classification task. We design a novel transformers","authors":["Malik, Garima","Yildirim, Savas","Cevik, Mucahit"],"url":"https://arxiv.org/abs/2301.03709","arxiv_id":"2301.03709","published":"2026-07-28"},{"title":"The emergence of clusters in self-attention dynamics","abstract":"Viewing Transformers as interacting particle systems, we describe the geometry of learned representations when the weights are not time dependent. We show that particles, representing tokens, tend to cluster toward particular limiting objects as time tends to infinity. Cluster locations are determined by the initial tokens, confirming context-awareness of representations learned by Transformers. Using techniques from","authors":["Geshkovski, Borjan","Letrouit, Cyril","Polyanskiy, Yury","Rigollet, Philippe"],"url":"https://arxiv.org/abs/2305.05465","arxiv_id":"2305.05465","published":"2026-07-28"},{"title":"A Semi-supervised Physics-Aware Triple-Stream Underwater Image Enhancement Network","abstract":"Underwater images normally suffer from degradation due to the transmission medium of water bodies. Both traditional prior-based approaches and deep learning-based methods have been used to address this problem. However, the inflexible assumption of the former often impairs their effectiveness in handling diverse underwater scenes, while the generalization of the latter to unseen images is usually weakened by insuffic","authors":["Xu, Shixuan","Qi, Hao","Wang, Wei","Huang, Chao","Wen, Jie","Dong, Junyu"],"url":"https://arxiv.org/abs/2307.11470","arxiv_id":"2307.11470","published":"2026-07-28"},{"title":"Speed Reading Tool Powered by Artificial Intelligence for Students with ADHD, Dyslexia, and Short Attention Span","abstract":"This paper presents an artificial intelligence tool designed to assist students with dyslexia, ADHD, and short attention spans in processing text-based information more efficiently. The proposed solution addresses both cognitive and visual reading barriers by pairing a cloud-hosted large language model with adaptive typographic formatting. At its core, the tool streams a request to Google's Gemini API to generate","authors":["Ismail, Megat Irfan Zackry Bin","Yusri, Ahmad Nazran bin","Manap, Muhammad Hafizzul Bin Abdul","Kamarozaman, Muhammad Muizzuddin Bin"],"url":"https://arxiv.org/abs/2307.14544","arxiv_id":"2307.14544","published":"2026-07-28"},{"title":"Achieving Linear Speedup with ProxSkip in Distributed Stochastic Optimization","abstract":"The ProxSkip algorithm for distributed optimization is gaining increasing attention due to its effectiveness in reducing communication. However, existing analyses of ProxSkip are limited to the strongly convex setting and fail to achieve linear speedup with respect to the number of nodes. Key questions regarding its behavior in the non-convex setting and the achievability of linear speedup remain open. In this paper,","authors":["Guo, Luyao","Alghunaim, Sulaiman A.","Yuan, Kun","Condat, Laurent","Cao, Jinde"],"url":"https://arxiv.org/abs/2310.07983","arxiv_id":"2310.07983","published":"2026-07-28"},{"title":"Transformer-based Named Entity Recognition in Construction Supply Chain Risk Management in Australia","abstract":"The construction industry in Australia is characterized by its intricate supply chains and vulnerability to myriad risks. As such, effective supply chain risk management (SCRM) becomes imperative. This paper employs different transformer models, and train for Named Entity Recognition (NER) in the context of Australian construction SCRM. Utilizing NER, transformer models identify and classify specific risk-associated ","authors":["Shishehgarkhaneh, Milad Baghalzadeh","Moehler, Robert C.","Fang, Yihai","Hijazi, Amer A.","Aboutorab, Hamed"],"url":"https://arxiv.org/abs/2311.13755","arxiv_id":"2311.13755","published":"2026-07-28"},{"title":"EyePreserve: Identity-Preserving Iris Synthesis","abstract":"Synthesis of same-identity biometric iris images, both for existing and non-existing identities, while preserving the identity across a wide range of pupil sizes, is complex due to the intricate iris muscle constriction mechanism, requiring a precise model of iris non-linear texture deformations to be embedded into the synthesis pipeline. This paper presents EyePreserve, a novel, fully data-driven non-linear texture ","authors":["Khan, Siamul Karim","Tinsley, Patrick","Mitcheff, Mahsa","Flynn, Patrick","Bowyer, Kevin W.","Czajka, Adam"],"url":"https://arxiv.org/abs/2312.12028","arxiv_id":"2312.12028","published":"2026-07-28"},{"title":"Deeper or Wider: A Perspective from Optimal Generalization Error with Sobolev Loss","abstract":"Constructing the architecture of a neural network is a challenging pursuit for the machine learning community, and the dilemma of whether to go deeper or wider remains a persistent question. This paper explores a comparison between deeper neural networks (DeNNs) with a flexible number of layers and wider neural networks (WeNNs) with limited hidden layers, focusing on their optimal generalization error in Sobolev loss","authors":["Yang, Yahong","He, Juncai"],"url":"https://arxiv.org/abs/2402.00152","arxiv_id":"2402.00152","published":"2026-07-28"},{"title":"UAlign: Pushing the Limit of Template-free Retrosynthesis Prediction with Unsupervised SMILES Alignment","abstract":"Motivation: Retrosynthesis planning poses a formidable challenge in the organic chemical industry. Single-step retrosynthesis prediction, a crucial step in the planning process, has witnessed a surge in interest in recent years due to advancements in AI for science. Various deep learning-based methods have been proposed for this task in recent years, incorporating diverse levels of additional chemical knowledge depen","authors":["Zeng, Kaipeng","yang, Bo","Zhao, Xin","Zhang, Yu","Nie, Fan","Yang, Xiaokang"],"url":"https://arxiv.org/abs/2404.00044","arxiv_id":"2404.00044","published":"2026-07-28"},{"title":"Hypergraph $p$-Laplacian regularization on point clouds for data interpolation","abstract":"As a generalization of graphs, hypergraphs are widely used to model higher-order relations in data. This paper explores the benefit of the hypergraph structure for the interpolation of point cloud data that contain no explicit structural information. We define the $\\varepsilon_n$-ball hypergraph and the $k_n$-nearest neighbor hypergraph on a point cloud and study the $p$-Laplacian regularization on the hypergraphs. W","authors":["Shi, Kehan","Burger, Martin"],"url":"https://arxiv.org/abs/2405.01109","arxiv_id":"2405.01109","published":"2026-07-28"},{"title":"Learning the Distribution Map in Reverse Causal Performative Prediction","abstract":"In numerous predictive scenarios, the predictive model affects the sampling distribution; for example, job applicants often meticulously craft their resumes to navigate through a screening systems. Such shifts in distribution are particularly prevalent in the realm of social computing, yet, the strategies to learn these shifts from data remain remarkably limited. Inspired by a microeconomic model that adeptly charact","authors":["Bracale, Daniele","Maity, Subha","Banerjee, Moulinath","Sun, Yuekai"],"url":"https://arxiv.org/abs/2405.15172","arxiv_id":"2405.15172","published":"2026-07-28"},{"title":"Synthetic Data Generation for 3D Myocardium Deformation Analysis","abstract":"Accurate analysis of 3D myocardium deformation using high-resolution computerized tomography (CT) datasets with ground truth (GT) annotations is crucial for advancing cardiovascular imaging research. However, the scarcity of such datasets poses a significant challenge for developing robust myocardium deformation analysis models. To address this, we propose a novel approach to synthetic data generation for enriching c","authors":["Zuler, Shahar","Raviv, Dan"],"url":"https://arxiv.org/abs/2406.01040","arxiv_id":"2406.01040","published":"2026-07-28"},{"title":"CLMASP: Coupling Large Language Models with Answer Set Programming for Robotic Task Planning","abstract":"Large Language Models (LLMs) possess extensive foundational knowledge and moderate reasoning abilities, making them suitable for general task planning in open-world scenarios. However, it is challenging to ground a LLM-generated plan to be executable for the specified robot with certain restrictions. This paper introduces CLMASP, an approach that couples LLMs with Answer Set Programming (ASP) to overcome the limitati","authors":["Lin, Xinrui","Wu, Yangfan","Yang, Huanyu","Zhang, Yu","Zhang, Yanyong","Ji, Jianmin"],"url":"https://arxiv.org/abs/2406.03367","arxiv_id":"2406.03367","published":"2026-07-28"},{"title":"Evaluation of Blood Vessel Segmentation Methods on Hard-to-Detect Vascular Structures","abstract":"Due to the intricate structure of vascular trees, minor segmentation errors can significantly alter connectivity patterns and increase variability in extracted morphological properties. Global metrics such as the Dice coefficient, precision, and recall often overlook inaccuracies in specific regions of a sample. To address this, we define a Local Vessel Salience (LVS) index to quantify the difficulty of identifying s","authors":["Parella, João Pedro","da Silva, Matheus Viana","Comin, Cesar Henrique"],"url":"https://arxiv.org/abs/2406.13128","arxiv_id":"2406.13128","published":"2026-07-28"},{"title":"Procedural Content Generation via Generative Artificial Intelligence","abstract":"The attempt to utilize machine learning in PCG has been made in the past. In this survey paper, we investigate how generative artificial intelligence (AI), which saw a significant increase in interest in the mid-2010s, is being used for PCG. We review applications of generative AI for the creation of various types of content, including terrains, items, and even storylines. While generative AI is effective for PCG, on","authors":["Mao, Xinyu","Yu, Wanli","Yamada, Kazunori D","Zielewski, Michael R."],"url":"https://arxiv.org/abs/2407.09013","arxiv_id":"2407.09013","published":"2026-07-28"},{"title":"Quantum Hamiltonian Embedding of Images for Data Reuploading Classifiers","abstract":"When applying quantum computing to machine learning tasks, one of the first considerations is the design of the quantum machine learning model itself. Conventionally, the design of quantum machine learning algorithms relies on the ``quantisation" of classical learning algorithms, such as using quantum linear algebra to implement important subroutines of classical algorithms, if not the entire algorithm, seeking t","authors":["Wang, Peiyong","Myers, Casey R.","Hollenberg, Lloyd C. L.","Parampalli, Udaya"],"url":"https://arxiv.org/abs/2407.14055","arxiv_id":"2407.14055","published":"2026-07-28"},{"title":"Concise Thoughts: Impact of Output Length on LLM Reasoning and Cost","abstract":"Today's large language models (LLMs) can solve challenging question-answering tasks, and prompt engineering techniques, such as chain-of-thought (CoT), have gained attention for enhancing the explanation and correctness of outputs. However, many models and techniques tend to produce excessively verbose and lengthy answers, leading to issues with both conciseness and generation time. To address this, this paper an","authors":["Nayab, Sania","Rossolini, Giulio","Simoni, Marco","Saracino, Andrea","Buttazzo, Giorgio","Manes, Nicolamaria"],"url":"https://arxiv.org/abs/2407.19825","arxiv_id":"2407.19825","published":"2026-07-28"},{"title":"CodexGraph: Bridging Large Language Models and Code Repositories via Code Graph Databases","abstract":"Large Language Models (LLMs) excel in stand-alone code tasks like HumanEval and MBPP, but struggle with handling entire code repositories. This challenge has prompted research on enhancing LLM-codebase interaction at a repository scale. Current solutions rely on similarity-based retrieval or manual tools and APIs, each with notable drawbacks. Similarity-based retrieval often has low recall in complex tasks, while man","authors":["Liu, Xiangyan","Lan, Bo","Hu, Zhiyuan","Liu, Yang","Zhang, Zhicheng","Wang, Fei"],"url":"https://arxiv.org/abs/2408.03910","arxiv_id":"2408.03910","published":"2026-07-28"},{"title":"Coarse Graining with Neural Operators for Simulating Chaotic Systems","abstract":"Accurately predicting the long-term behavior of chaotic systems is crucial for various applications such as climate modeling. However, achieving such predictions typically requires iterative computations over a dense spatiotemporal grid to account for the unstable nature of chaotic systems, which is expensive and impractical in many real-world situations. An alternative approach to such a full-resolved simulation is ","authors":["Wang, Chuwei","Bonev, Boris","Berner, Julius","Li, Zongyi","Zhou, Di","Wang, Jiayun"],"url":"https://arxiv.org/abs/2408.05177","arxiv_id":"2408.05177","published":"2026-07-28"}],"history":{"events":[{"year":2010,"text":"In the deadliest air accident in Pakistan's history, Airblue Flight 202 crashed into the Margalla Hills north of Islamabad, killing all 152 aboard.","url":"https://en.wikipedia.org/wiki/Airblue_Flight_202"},{"year":2005,"text":"Britain's costliest tornado struck Birmingham, injuring 39 people and causing £40 million of damage across the city.","url":"https://en.wikipedia.org/wiki/2005_Birmingham_tornado"},{"year":2005,"text":"The Provisional Irish Republican Army announced the formal end of its armed campaign to overthrow British rule in Northern Ireland and create a united Ireland.","url":"https://en.wikipedia.org/wiki/Provisional_Irish_Republican_Army"},{"year":2001,"text":"At the World Aquatics Championships in Fukuoka, Japan, Australian Ian Thorpe became the first swimmer to win six gold medals at a single FINA world championship.","url":"https://en.wikipedia.org/wiki/2001_World_Aquatics_Championships"},{"year":1995,"text":"Two followers of the Indian mystic Rajneesh were convicted of a 1985 plot to assassinate Charles Turner, the U.S. attorney for the District of Oregon.","url":"https://en.wikipedia.org/wiki/Rajneesh_movement"},{"year":1976,"text":"An earthquake registering 7.6 Mw, one of the deadliest in history, devastated Tangshan, China, and killed at least 240,000 people.","url":"https://en.wikipedia.org/wiki/1976_Tangshan_earthquake"},{"year":1945,"text":"A B-25 bomber crashed into the Empire State Building in New York City, killing 14 people and causing an estimated $1 million in damage.","url":"https://en.wikipedia.org/wiki/North_American_B-25_Mitchell"},{"year":1940,"text":"At the Salzburg Conference, Adolf Hitler demanded the replacement of much of Slovakia's cabinet.","url":"https://en.wikipedia.org/wiki/Salzburg_Conference"},{"year":1939,"text":"During the excavation of a 7th-century ship burial at Sutton Hoo in Suffolk, England, archaeologists discovered the Sutton Hoo helmet (pictured), widely associated with King Rædwald of East Anglia.","url":"https://en.wikipedia.org/wiki/Ship_burial"},{"year":1917,"text":"In New York City, the NAACP and church and community leaders organized a silent march of at least 8,000 people to protest violence directed towards African Americans.","url":"https://en.wikipedia.org/wiki/NAACP"},{"year":1915,"text":"U.S. Marines landed at Port-au-Prince to begin a nineteen-year occupation of Haiti.","url":"https://en.wikipedia.org/wiki/United_States_Marine_Corps"},{"year":1911,"text":"The Australasian Antarctic Expedition began with the departure of SY Aurora from London.","url":"https://en.wikipedia.org/wiki/Australasian_Antarctic_Expedition"},{"year":1899,"text":"A Category 1 hurricane (map pictured) made landfall in Azua Province in the Dominican Republic, destroying three large schooners at Santo Domingo; only one crew member on the three vessels survived.","url":"https://en.wikipedia.org/wiki/1899_Carrabelle_hurricane"},{"year":1866,"text":"Aged 18, Vinnie Ream became the youngest artist and first woman to receive a United States government commission for a statue—that of Abraham Lincoln currently in the Capitol rotunda.","url":"https://en.wikipedia.org/wiki/Vinnie_Ream"},{"year":1821,"text":"Peruvian War of Independence: Argentine general José de San Martín declared the independence of Peru from the Spanish Empire.","url":"https://en.wikipedia.org/wiki/Peruvian_War_of_Independence"},{"year":1540,"text":"King Henry VIII of England had his chief minister Thomas Cromwell executed for treason and heresy.","url":"https://en.wikipedia.org/wiki/Henry_VIII"},{"year":1148,"text":"Crusades: The siege of Damascus ended in a decisive victory for the Muslims, leading to the disintegration of the Second Crusade.","url":"https://en.wikipedia.org/wiki/Crusades"}],"births":[{"year":2003,"text":"Malik Nabers, American football player","url":"https://en.wikipedia.org/wiki/Malik_Nabers"},{"year":2000,"text":"Emile Smith Rowe, English footballer","url":"https://en.wikipedia.org/wiki/Emile_Smith_Rowe"},{"year":1999,"text":"GloRilla, American rapper","url":"https://en.wikipedia.org/wiki/GloRilla"},{"year":1996,"text":"Harriet Dart, British tennis player","url":"https://en.wikipedia.org/wiki/Harriet_Dart"},{"year":1994,"text":"Walker Buehler, American baseball player","url":"https://en.wikipedia.org/wiki/Walker_Buehler"},{"year":1994,"text":"Hyojung, South Korean singer","url":"https://en.wikipedia.org/wiki/Hyojung"},{"year":1993,"text":"Harry Kane, English footballer","url":"https://en.wikipedia.org/wiki/Harry_Kane"},{"year":1993,"text":"Evan Rodrigues, Canadian ice hockey player","url":"https://en.wikipedia.org/wiki/Evan_Rodrigues"}],"deaths":[{"year":2025,"text":"Laura Dahlmeier, German biathlete, Olympic champion (born 1993)","url":"https://en.wikipedia.org/wiki/Laura_Dahlmeier"},{"year":2024,"text":"John Anderson, Scottish television personality, teacher and coach (born 1931)","url":"https://en.wikipedia.org/wiki/John_Anderson_(television_personality)"},{"year":2024,"text":"Doug Creek, American baseball player (born 1969)","url":"https://en.wikipedia.org/wiki/Doug_Creek"},{"year":2024,"text":"Reyes Moronta, Dominican baseball player (born 1993)","url":"https://en.wikipedia.org/wiki/Reyes_Moronta"},{"year":2024,"text":"Francine Pascal, American author (born 1932)","url":"https://en.wikipedia.org/wiki/Francine_Pascal"},{"year":2022,"text":"Bernard Cribbins, British actor (born 1928)","url":"https://en.wikipedia.org/wiki/Bernard_Cribbins"},{"year":2021,"text":"Dusty Hill, American musician (born 1949)","url":"https://en.wikipedia.org/wiki/Dusty_Hill"},{"year":2020,"text":"Junrey Balawing, Filipino record holder (born 1993)","url":"https://en.wikipedia.org/wiki/Junrey_Balawing"}]},"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."}