{"date":"2026-04-14","schema_version":1,"captured_at":"2026-08-25T23:37:02.740Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":18},"attention":[{"title":"2026 Hungarian parliamentary election","views":544944,"rank":3,"extract":"Parliamentary elections were held in Hungary on 12 April 2026 to elect all 199 members of the National Assembly. It was the 10th parliamentary election and the highest-turnout election since Hungary's transition to democracy in 1990. The incumbent Fidesz–KDNP ","url":"https://en.wikipedia.org/wiki/2026_Hungarian_parliamentary_election","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/8/8f/P%C3%A9ter_Magyar_at_EC%2C_May_2026_03_%28cropped%29.jpg/330px-P%C3%A9ter_Magyar_at_EC%2C_May_2026_03_%28cropped%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Péter Magyar","views":517672,"rank":4,"extract":"Péter Magyar is a Hungarian politician who has served as prime minister of Hungary since May 2026. He has been the president of the Tisza Party since 2024 and was a member of the European Parliament (MEP) from 2024 to 2026.","url":"https://en.wikipedia.org/wiki/P%C3%A9ter_Magyar","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/6/69/P%C3%A9ter_Magyar_at_EC%2C_May_2026.jpg/330px-P%C3%A9ter_Magyar_at_EC%2C_May_2026.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Rory McIlroy","views":496373,"rank":5,"extract":"Rory Daniel McIlroy is a Northern Irish professional golfer who plays on the PGA Tour and the European Tour. He is a former world number one in the Official World Golf Ranking and has spent over 100 weeks in that position during his career. 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It was the third annual Dynasty and took place on April 12, 2026, at Rogers Arena in Vancouver, British Columbia, Canada, marking the first AEW PPV to","url":"https://en.wikipedia.org/wiki/AEW_Dynasty_(2026)","thumb":"https://upload.wikimedia.org/wikipedia/en/b/b6/AEW_Dynasty_%282026%29_poster.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"List of men's major championships winning golfers","views":147479,"rank":16,"extract":"The men's major golf championships, also known simply as the majors, are the four most prestigious events in professional golf. 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In the 2022 Hungarian parliamentary election, she was elected to the National Assembly.","url":"https://en.wikipedia.org/wiki/Judit_Varga","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/a/ae/Varga_Judit_2020_wikipedia_%28cropped%29.jpg/330px-Varga_Judit_2020_wikipedia_%28cropped%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"2022 Hungarian parliamentary election","views":103840,"rank":27,"extract":"Parliamentary elections were held in Hungary on 3 April 2022 to elect the National Assembly, coinciding with a referendum. Hungary's incumbent prime minister Viktor Orbán won re-election to a fourth term. Addressing his supporters after the partial results sho","url":"https://en.wikipedia.org/wiki/2022_Hungarian_parliamentary_election","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/4/41/%D0%92%D0%B8%D0%BA%D1%82%D0%BE%D1%80_%D0%9E%D1%80%D0%B1%D0%B0%D0%BD_%2818-01-2022%29.jpg/330px-%D0%92%D0%B8%D0%BA%D1%82%D0%BE%D1%80_%D0%9E%D1%80%D0%B1%D0%B0%D0%BD_%2818-01-2022%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Pope Leo XIV","views":103438,"rank":28,"extract":"Pope Leo XIV is the head of the Catholic Church and sovereign of Vatican City.","url":"https://en.wikipedia.org/wiki/Pope_Leo_XIV","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/6/6f/Pope_Leo_XIV_3_%283x4_cropped%29.png/330px-Pope_Leo_XIV_3_%283x4_cropped%29.png?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"2026 Iran war","views":99418,"rank":29,"extract":"Since 28 February 2026, the United States and Israel have been at war with Iran and its regional allies. Hostilities broke out after US–Israeli airstrikes killed several Iranian officials, including Supreme Leader Ali Khamenei. The strikes were launched amid o","url":"https://en.wikipedia.org/wiki/2026_Iran_war","thumb":null},{"title":"Hungary","views":97587,"rank":30,"extract":"Hungary is a landlocked country in Central Europe. Spanning much of the Carpathian Basin, it is bordered by Slovakia to the north, Ukraine to the northeast, Romania to the east and southeast, Serbia to the south, Croatia and Slovenia to the southwest, and Aust","url":"https://en.wikipedia.org/wiki/Hungary","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/c/c1/Flag_of_Hungary.svg/330px-Flag_of_Hungary.svg.png?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Neatsville, Kentucky","views":94700,"rank":31,"extract":"Neatsville is an unincorporated community in Adair County, in the U.S. state of Kentucky. It is located at the junction of Kentucky Route 206 and Kentucky Route 76. Its elevation is 705 feet (215 m). For unknown reasons, the town's name was spelled as Neetsvil","url":"https://en.wikipedia.org/wiki/Neatsville%2C_Kentucky","thumb":null},{"title":"Scottie Scheffler","views":94058,"rank":32,"extract":"Scott Alexander Scheffler is an American professional golfer who plays on the PGA Tour. He is currently ranked world number one in the Official World Golf Ranking, a position he has held for over 175 weeks during his career. He has won four major championships","url":"https://en.wikipedia.org/wiki/Scottie_Scheffler","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/e/ef/Scottie_Scheffler_Ryder_Cup_2025_%28cropped%29.jpg/330px-Scottie_Scheffler_Ryder_Cup_2025_%28cropped%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Fidesz","views":91430,"rank":33,"extract":"Fidesz – Hungarian Civic Alliance is a political party in Hungary led by Viktor Orbán. It is most notable for dominating Hungarian politics from 2010 to 2026, a period known as the Orbán era. Earlier, from 1998 to 2002, it was the senior partner in a conservat","url":"https://en.wikipedia.org/wiki/Fidesz","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/c/cc/Fidesz_2015.svg/330px-Fidesz_2015.svg.png?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Artemis II","views":87936,"rank":34,"extract":"Artemis II was a crewed flyby of the Moon. It is currently the only crewed flight beyond low Earth orbit since Apollo 17 in 1972. It was the first crewed flight of the NASA-led Artemis program, the first crewed flight of the Space Launch System (SLS), and the ","url":"https://en.wikipedia.org/wiki/Artemis_II","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/1/15/Earthset_%28art002e009288%29.jpg/330px-Earthset_%28art002e009288%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"}],"frontier":[{"title":"DaVinci Resolve – Photo","points":1147,"comments":296,"url":"https://www.blackmagicdesign.com/products/davinciresolve/photo","discussion":"https://news.ycombinator.com/item?id=47760529"},{"title":"Backblaze has stopped backing up OneDrive and Dropbox folders and maybe others","points":1130,"comments":693,"url":"https://rareese.com/posts/backblaze/","discussion":"https://news.ycombinator.com/item?id=47762864"},{"title":"Stop Flock","points":993,"comments":308,"url":"https://stopflock.com","discussion":"https://news.ycombinator.com/item?id=47772012"},{"title":"A new spam policy for “back button hijacking”","points":918,"comments":513,"url":"https://developers.google.com/search/blog/2026/04/back-button-hijacking","discussion":"https://news.ycombinator.com/item?id=47760764"},{"title":"Tell HN: Fiverr left customer files public and searchable","points":831,"comments":232,"url":"https://news.ycombinator.com/item?id=47769796","discussion":"https://news.ycombinator.com/item?id=47769796"},{"title":"Claude Code Routines","points":720,"comments":413,"url":"https://code.claude.com/docs/en/routines","discussion":"https://news.ycombinator.com/item?id=47768133"},{"title":"Rare concert recordings are landing on the Internet Archive","points":708,"comments":219,"url":"https://techcrunch.com/2026/04/13/thousands-of-rare-concert-recordings-are-landing-on-the-internet-archive-listen-now/","discussion":"https://news.ycombinator.com/item?id=47765604"},{"title":"I wrote to Flock's privacy contact to opt out of their domestic spying program","points":670,"comments":258,"url":"https://honeypot.net/2026/04/14/i-wrote-to-flocks-privacy.html","discussion":"https://news.ycombinator.com/item?id=47768813"},{"title":"Cybersecurity looks like proof of work now","points":562,"comments":214,"url":"https://www.dbreunig.com/2026/04/14/cybersecurity-is-proof-of-work-now.html","discussion":"https://news.ycombinator.com/item?id=47769089"},{"title":"jj – the CLI for Jujutsu","points":549,"comments":498,"url":"https://steveklabnik.github.io/jujutsu-tutorial/introduction/what-is-jj-and-why-should-i-care.html","discussion":"https://news.ycombinator.com/item?id=47763759"},{"title":"Spain to expand internet blocks to tennis, golf, movies broadcasting times","points":446,"comments":461,"url":"https://bandaancha.eu/articulos/telefonica-consigue-bloqueos-ips-11731","discussion":"https://news.ycombinator.com/item?id=47768195"},{"title":"Lean proved this program correct; then I found a bug","points":395,"comments":178,"url":"https://kirancodes.me/posts/log-who-watches-the-watchers.html","discussion":"https://news.ycombinator.com/item?id=47759709"},{"title":"The future of everything is lies, I guess: Work","points":290,"comments":219,"url":"https://aphyr.com/posts/418-the-future-of-everything-is-lies-i-guess-work","discussion":"https://news.ycombinator.com/item?id=47766550"},{"title":"Introspective Diffusion Language Models","points":281,"comments":55,"url":"https://introspective-diffusion.github.io/","discussion":"https://news.ycombinator.com/item?id=47762641"},{"title":"OpenSSL 4.0.0","points":280,"comments":86,"url":"https://github.com/openssl/openssl/releases/tag/openssl-4.0.0","discussion":"https://news.ycombinator.com/item?id=47768788"},{"title":"Sometimes powerful people just do dumb shit","points":272,"comments":155,"url":"https://www.joanwestenberg.com/sometimes-powerful-people-just-do-dumb-shit/","discussion":"https://news.ycombinator.com/item?id=47760750"},{"title":"CadQuery is an open-source Python library for building 3D CAD models","points":231,"comments":65,"url":"https://cadquery.github.io/","discussion":"https://news.ycombinator.com/item?id=47772725"},{"title":"US national level OS-level age verification bill proposed","points":218,"comments":225,"url":"https://www.congress.gov/bill/119th-congress/house-bill/8250/all-info","discussion":"https://news.ycombinator.com/item?id=47772203"},{"title":"It's OK to compare floating-points for equality","points":214,"comments":144,"url":"https://lisyarus.github.io/blog/posts/its-ok-to-compare-floating-points-for-equality.html","discussion":"https://news.ycombinator.com/item?id=47767398"},{"title":"An AI Vibe Coding Horror Story","points":213,"comments":211,"url":"https://www.tobru.ch/an-ai-vibe-coding-horror-story/","discussion":"https://news.ycombinator.com/item?id=47762901"},{"title":"5NF and Database Design","points":203,"comments":83,"url":"https://kb.databasedesignbook.com/posts/5nf/","discussion":"https://news.ycombinator.com/item?id=47767676"},{"title":"Turn your best AI prompts into one-click tools in Chrome","points":195,"comments":114,"url":"https://blog.google/products-and-platforms/products/chrome/skills-in-chrome/","discussion":"https://news.ycombinator.com/item?id=47768339"},{"title":"Google, Microsoft, Meta All Tracking You Even When You Opt Out","points":192,"comments":97,"url":"https://www.404media.co/google-microsoft-meta-all-tracking-you-even-when-you-opt-out-according-to-an-independent-audit/","discussion":"https://news.ycombinator.com/item?id=47767191"},{"title":"Distributed DuckDB Instance","points":190,"comments":36,"url":"https://github.com/citguru/openduck","discussion":"https://news.ycombinator.com/item?id=47761997"},{"title":"40% of lost calories globally are from beef, needing 33 cal of feed per 1 cal","points":174,"comments":323,"url":"https://iopscience.iop.org/article/10.1088/2976-601X/ae4f6b","discussion":"https://news.ycombinator.com/item?id=47769183"}],"research":[{"title":"The Wasserstein transform","abstract":"We introduce the Wasserstein Transform (WT), a general unsupervised framework for updating distance structures on given data sets with the purpose of enhancing features and denoising. Our framework represents each data point by a probability measure reflecting the neighborhood structure of the point, and then updates the distance by computing the Wasserstein distance between these probability measures. The Wasserstei","authors":["Jin, Kun","Mémoli, Facundo","Smith, Zane","Wan, Zhengchao"],"url":"https://arxiv.org/abs/1810.07793","arxiv_id":"1810.07793","published":"2026-04-14"},{"title":"Lightweight Strategy for XOR PUFs as Security Primitives for Resource-constrained IoT device","abstract":"Physical Unclonable Functions (PUFs) are promising security primitives for resource-constrained IoT devices. And the XOR Arbiter PUF (XOR-PUF) is one of the most studied PUFs, out of an effort to improve the resistance against machine learning attacks of probably the most lightweight delay-based PUFs - the Arbiter PUFs. However, recent attack studies reveal that even XOR-PUFs with large XOR sizes are still not safe a","authors":["Li, Gaoxiang","Mursi, Khalid T.","Zhuang, Yu"],"url":"https://arxiv.org/abs/2210.01749","arxiv_id":"2210.01749","published":"2026-04-14"},{"title":"AXIL: Exact Instance Attribution for Gradient Boosting","abstract":"We derive an exact, prediction-specific instance-attribution method for fitted gradient boosting machines (GBMs) trained with squared-error loss, with the learned tree structure held fixed. Each prediction can be written as a weighted sum of training targets, with coefficients determined only by the fitted tree structure and learning rate. These coefficients are exact instance attributions, or AXIL weights. Our main ","authors":["Geertsema, Paul","Lu, Helen"],"url":"https://arxiv.org/abs/2301.01864","arxiv_id":"2301.01864","published":"2026-04-14"},{"title":"A Data-driven Loss Weighting Scheme across Heterogeneous Tasks for Image Denoising","abstract":"In a variational denoising model, weight in the data fidelity term plays the role of enhancing the noise-removal capability. It is profoundly correlated with noise information, while also balancing the data fidelity and regularization terms. However, the difficulty of assigning weight is expected to be substantial when the noise pattern is beyond independent identical Gaussian distribution, e.g., impulse noise, strip","authors":["Rui, Xiangyu","Cao, Xiangyong","Zhao, Xile","Meng, Deyu","NG, Michael K."],"url":"https://arxiv.org/abs/2301.06081","arxiv_id":"2301.06081","published":"2026-04-14"},{"title":"Privacy Against Agnostic Inference Attacks in Vertical Federated Learning","abstract":"A novel form of inference attack in vertical federated learning (VFL) is proposed, where two parties collaborate in training a machine learning (ML) model. Logistic regression is considered for the VFL model. One party, referred to as the active party, possesses the ground truth labels of the samples in the training phase, while the other, referred to as the passive party, only shares a separate set of features corre","authors":["Varasteh, Morteza"],"url":"https://arxiv.org/abs/2302.05545","arxiv_id":"2302.05545","published":"2026-04-14"},{"title":"M$^{2}$SNet: Multi-scale in Multi-scale Subtraction Network for Medical Image Segmentation","abstract":"Accurate medical image segmentation is critical for early medical diagnosis. Most existing methods are based on U-shape structure and use element-wise addition or concatenation to fuse different level features progressively in decoder. However, both the two operations easily generate plenty of redundant information, which will weaken the complementarity between different level features, resulting in inaccurate locali","authors":["Zhao, Xiaoqi","Jia, Hongpeng","Pang, Youwei","Lv, Long","Tian, Feng","Zhang, Lihe"],"url":"https://arxiv.org/abs/2303.10894","arxiv_id":"2303.10894","published":"2026-04-14"},{"title":"SIGMA: An Efficient Heterophilous Graph Neural Network with Fast Global Aggregation","abstract":"Graph neural networks (GNNs) realize great success in graph learning but suffer from performance loss when meeting heterophily, i.e. neighboring nodes are dissimilar, due to their local and uniform aggregation. Existing attempts of heterophilous GNNs incorporate long-range or global aggregations to distinguish nodes in the graph. However, these aggregations usually require iteratively maintaining and updating full-gr","authors":["Liu, Haoyu","Liao, Ningyi","Luo, Siqiang"],"url":"https://arxiv.org/abs/2305.09958","arxiv_id":"2305.09958","published":"2026-04-14"},{"title":"Template-assisted Contrastive Learning of Task-oriented Dialogue Sentence Embeddings","abstract":"Learning high quality sentence embeddings from dialogues has drawn increasing attentions as it is essential to solve a variety of dialogue-oriented tasks with low annotation cost. Annotating and gathering utterance relationships in conversations are difficult, while token-level annotations, \\eg, entities, slots and templates, are much easier to obtain. Other sentence embedding methods are usually sentence-level self-","authors":["Oh, Minsik","Li, Jiwei","Wang, Guoyin"],"url":"https://arxiv.org/abs/2305.14299","arxiv_id":"2305.14299","published":"2026-04-14"},{"title":"RoMa: Robust Dense Feature Matching","abstract":"Feature matching is an important computer vision task that involves estimating correspondences between two images of a 3D scene, and dense methods estimate all such correspondences. The aim is to learn a robust model, i.e., a model able to match under challenging real-world changes. In this work, we propose such a model, leveraging frozen pretrained features from the foundation model DINOv2. Although these features a","authors":["Edstedt, Johan","Sun, Qiyu","Bökman, Georg","Wadenbäck, Mårten","Felsberg, Michael"],"url":"https://arxiv.org/abs/2305.15404","arxiv_id":"2305.15404","published":"2026-04-14"},{"title":"SCITUNE: Aligning Large Language Models with Human-Curated Scientific Multimodal Instructions","abstract":"Instruction finetuning is a popular paradigm to align large language models (LLM) with human intent. Despite its popularity, this idea is less explored in improving LLMs to align existing foundation models with scientific disciplines, concepts and goals. In this work, we present \\textit{SciTune} as a tuning framework to improve the ability of LLMs to follow multimodal instructions generated from scientific publicatio","authors":["Horawalavithana, Sameera","Munikoti, Sai","Stewart, Ian","Kvinge, Henry","Pazdernik, Karl"],"url":"https://arxiv.org/abs/2307.01139","arxiv_id":"2307.01139","published":"2026-04-14"},{"title":"A Heavy-Load-Enhanced and Changeable-Periodicity-Perceived Workload Prediction Network","abstract":"Cloud providers can greatly benefit from accurate workload prediction. However, the workload of cloud servers is highly variable, with occasional workload bursts, which makes workload prediction challenging. The time series forecasting methods relying on periodicity information, often assume fixed and known periodicity length, which does not align with the periodicity-changeable nature of cloud service workloads. Alt","authors":["Chen, Feiyi","Liu, Naijin","Qin, Zhen","Zhao, Hailiang","Zhou, Mengchu","Deng, Shuiguang"],"url":"https://arxiv.org/abs/2308.01917","arxiv_id":"2308.01917","published":"2026-04-14"},{"title":"MM-LIMA: Less Is More for Alignment in Multi-Modal Datasets","abstract":"Multimodal large language models are typically trained in two stages: first pre-training on image-text pairs, and then fine-tuning using supervised vision-language instruction data. Recent studies have shown that large language models can achieve satisfactory results even with a limited amount of high-quality instruction-following data. In this paper, we introduce MM-LIMA, which is fine-tuned on a small dataset compr","authors":["Wei, Lai","Li, Xiaozhe","Jiang, Zihao","Huang, Weiran","Sun, Lichao"],"url":"https://arxiv.org/abs/2308.12067","arxiv_id":"2308.12067","published":"2026-04-14"},{"title":"Learning Parallax for Stereo Event-based Motion Deblurring","abstract":"Due to the extremely low latency, events have been recently exploited to supplement lost information for motion deblurring. Existing approaches largely rely on the perfect pixel-wise alignment between intensity images and events, which is not always fulfilled in the real world. To tackle this problem, we propose a novel coarse-to-fine framework, named NETwork of Event-based motion Deblurring with STereo event and int","authors":["Lin, Mingyuan","Zhang, Chi","He, Chu","Yu, Lei"],"url":"https://arxiv.org/abs/2309.09513","arxiv_id":"2309.09513","published":"2026-04-14"},{"title":"A Survey on Deep Learning Techniques for Action Anticipation","abstract":"The ability to anticipate possible future human actions is essential for a wide range of applications, including autonomous driving and human-robot interaction. Consequently, numerous methods have been introduced for action anticipation in recent years, with deep learning-based approaches being particularly popular. In this work, we review the recent advances of action anticipation algorithms with a particular focus ","authors":["Zhong, Zeyun","Martin, Manuel","Voit, Michael","Gall, Juergen","Beyerer, Jürgen"],"url":"https://arxiv.org/abs/2309.17257","arxiv_id":"2309.17257","published":"2026-04-14"},{"title":"ClausewitzGPT Framework: A New Frontier in Theoretical Large Language Model Enhanced Information Operations","abstract":"In a digital epoch where cyberspace is the emerging nexus of geopolitical contention, the melding of information operations and Large Language Models (LLMs) heralds a paradigm shift, replete with immense opportunities and intricate challenges. As tools like the Mistral 7B LLM (Mistral, 2023) democratise access to LLM capabilities (Jin et al., 2023), a vast spectrum of actors, from sovereign nations to rogue entities ","authors":["Kereopa-Yorke, Benjamin"],"url":"https://arxiv.org/abs/2310.07099","arxiv_id":"2310.07099","published":"2026-04-14"},{"title":"Randomized Approach to Matrix Completion: Applications in Recommendation Systems and Image Inpainting","abstract":"We present a novel method for matrix completion, specifically designed for matrices where one dimension is significantly larger than the other. Our Columns Selected Matrix Completion (CSMC) method combines Column Subset Selection with Low-Rank Matrix Completion to efficiently reconstruct incomplete datasets. CSMC substantially reduces computational cost while preserving the solution quality of state-of-the-art convex","authors":["Krajewska, Antonina","Niewiadomska-Szynkiewicz, Ewa"],"url":"https://arxiv.org/abs/2403.01919","arxiv_id":"2403.01919","published":"2026-04-14"},{"title":"GaNI: Global and Near Field Illumination Aware Neural Inverse Rendering","abstract":"In this paper, we present GaNI, a Global and Near-field Illumination-aware neural inverse rendering technique that can reconstruct geometry, albedo, and roughness parameters from images of a scene captured with co-located light and camera. Existing inverse rendering techniques with co-located light-camera focus on single objects only, without modeling global illumination and near-field lighting more prominent in scen","authors":["Wu, Jiaye","Hadadan, Saeed","Lin, Geng","Zwicker, Matthias","Jacobs, David","Sengupta, Roni"],"url":"https://arxiv.org/abs/2403.15651","arxiv_id":"2403.15651","published":"2026-04-14"},{"title":"Non-Uniform Exposure Imaging via Neuromorphic Shutter Control","abstract":"By leveraging the blur-noise trade-off, imaging with non-uniform exposures largely extends the image acquisition flexibility in harsh environments. However, the limitation of conventional cameras in perceiving intra-frame dynamic information prevents existing methods from being implemented in the real-world frame acquisition for real-time adaptive camera shutter control. To address this challenge, we propose a novel ","authors":["Lin, Mingyuan","Liu, Jian","Zhang, Chi","Zhao, Zibo","He, Chu","Yu, Lei"],"url":"https://arxiv.org/abs/2404.13972","arxiv_id":"2404.13972","published":"2026-04-14"},{"title":"Language Reconstruction with Brain Predictive Coding from fMRI Data","abstract":"Many recent studies have shown that the perception of speech can be decoded from brain signals and subsequently reconstructed as continuous language. However, there is a lack of neurological basis for how the semantic information embedded within brain signals can be used more effectively to guide language reconstruction. Predictive coding theory suggests the human brain naturally engages in continuously predicting fu","authors":["Yin, Congchi","Ye, Ziyi","Li, Piji"],"url":"https://arxiv.org/abs/2405.11597","arxiv_id":"2405.11597","published":"2026-04-14"},{"title":"Near OOD Detection for Vision-Language Prompt Learning with Contrastive Logit Score","abstract":"Prompt learning has emerged as an efficient and effective method for fine-tuning vision-language models such as CLIP. While many studies have explored generalisation abilities of these models in few-shot classification tasks and a few studies have addressed far out-of-distribution (OOD) of the models, their potential for addressing near OOD detection remains underexplored. Existing methods either require training fro","authors":["Jung, Myong Chol","Dipnall, Joanna","Gabbe, Belinda","Zhao, He"],"url":"https://arxiv.org/abs/2405.16091","arxiv_id":"2405.16091","published":"2026-04-14"},{"title":"Reinforcement Learning for Intensity Control: An Application to Choice-Based Network Revenue Management","abstract":"Intensity control is a class of continuous-time dynamic optimization problems with many important applications in Operations Research including queueing and revenue management. In this study, we propose a practical continuous-time reinforcement learning framework for intensity control using choice-based network revenue management as a case study, which is a classical problem in revenue management that features a larg","authors":["Meng, Huiling","Chen, Ningyuan","Gao, Xuefeng"],"url":"https://arxiv.org/abs/2406.05358","arxiv_id":"2406.05358","published":"2026-04-14"},{"title":"Learning Color Equivariant Representations","abstract":"In this paper, we introduce group convolutional neural networks (GCNNs) equivariant to color variation. GCNNs have been designed for a variety of geometric transformations from 2D and 3D rotation groups, to semi-groups such as scale. Despite the improved interpretability, accuracy and generalizability of these architectures, GCNNs have seen limited application in the context of perceptual quantities. Notably, the rec","authors":["Yang, Yulong","O&#39;Mahony, Felix","Allen-Blanchette, Christine"],"url":"https://arxiv.org/abs/2406.09588","arxiv_id":"2406.09588","published":"2026-04-14"},{"title":"An Iterative Utility Judgment Framework Inspired by Philosophical Relevance via LLMs","abstract":"Relevance and utility are two frequently used measures to evaluate the effectiveness of an information retrieval (IR) system. Relevance emphasizes the aboutness of a result to a query, while utility refers to the result's usefulness or value to an information seeker. In retrieval-augmented generation (RAG), high-utility results should be prioritized to feed to LLMs due to their limited input bandwidth. Re-examini","authors":["Zhang, Hengran","Bi, Keping","Guo, Jiafeng","Cheng, Xueqi"],"url":"https://arxiv.org/abs/2406.11290","arxiv_id":"2406.11290","published":"2026-04-14"},{"title":"LaMI: Augmenting Large Language Models via Late Multi-Image Fusion","abstract":"Commonsense reasoning often requires both textual and visual knowledge, yet Large Language Models (LLMs) trained solely on text lack visual grounding (e.g., &#34;what color is an emperor penguin's belly?&#34;). Visual Language Models (VLMs) perform better on visually grounded tasks but face two limitations: (i) often reduced performance on text-only commonsense reasoning compared to text-trained LLMs, and (ii) ad","authors":["Yariv, Guy","Schwartz, Idan","Adi, Yossi","Benaim, Sagie"],"url":"https://arxiv.org/abs/2406.13621","arxiv_id":"2406.13621","published":"2026-04-14"},{"title":"Linear Attention Based Deep Nonlocal Means Filtering for Multiplicative Noise Removal","abstract":"Multiplicative noise widely exists in radar images, medical images and other important fields' images. Compared to normal noises, multiplicative noise has a generally stronger effect on the visual expression of images. Aiming at the denoising problem of multiplicative noise, we linearize the nonlocal means algorithm with deep learning and propose a linear attention mechanism based deep nonlocal means filtering (L","authors":["Siyao, Xiao","Libing, Huang","Shunsheng, Zhang"],"url":"https://arxiv.org/abs/2407.05087","arxiv_id":"2407.05087","published":"2026-04-14"}],"history":{"events":[{"year":2024,"text":"Flooding in the Persian Gulf began, killing 19 in Oman.","url":"https://en.wikipedia.org/wiki/2024_Persian_Gulf_floods"},{"year":2015,"text":"Western Kentucky University announced a five-year suspension of their swimming and diving programs as a result of a hazing scandal.","url":"https://en.wikipedia.org/wiki/Western_Kentucky_University"},{"year":2010,"text":"Plumes of ash from a major eruption of the Eyjafjallajökull volcano in Iceland led to widespread disruption of air travel throughout Europe for several days.","url":"https://en.wikipedia.org/wiki/2010_eruptions_of_Eyjafjallaj%C3%B6kull"},{"year":2010,"text":"Nearly 2,700 people were killed in an earthquake registering 6.9 Mw in Yushu Tibetan Autonomous Prefecture, China.","url":"https://en.wikipedia.org/wiki/2010_Yushu_earthquake"},{"year":2005,"text":"The Oregon Supreme Court nullified marriage licenses issued to same-sex couples a year earlier by Multnomah County.","url":"https://en.wikipedia.org/wiki/Oregon_Supreme_Court"},{"year":1999,"text":"A storm dropped around 500,000 tonnes of hailstones on Sydney (examples pictured) and the east coast of New South Wales, causing about A$2.3 billion in damages, the costliest natural disaster in Australian insurance history.","url":"https://en.wikipedia.org/wiki/1999_Sydney_hailstorm"},{"year":1994,"text":"Iraqi no-fly zones conflict: In a friendly-fire incident during Operation Provide Comfort, two U.S. Air Force aircraft mistakenly shot down two U.S. Army helicopters over northern Iraq, killing 26 people.","url":"https://en.wikipedia.org/wiki/Iraqi_no-fly_zones_conflict"},{"year":1983,"text":"Let's Dance, English musician David Bowie's best-selling album, was released.","url":"https://en.wikipedia.org/wiki/Let's_Dance_(David_Bowie_album)"},{"year":1978,"text":"Thousands of Georgians demonstrated in Tbilisi against an attempt by the Supreme Soviet of the Georgian SSR to change the constitutional status of the Georgian language.","url":"https://en.wikipedia.org/wiki/1978_Georgian_demonstrations"},{"year":1970,"text":"After an oxygen tank aboard Apollo 13 (mission patch pictured) exploded, disabling the spacecraft's electrical and life-support systems, astronaut Jack Swigert reported: \"Houston, we've had a problem here\".","url":"https://en.wikipedia.org/wiki/Apollo_13"},{"year":1967,"text":"After leading a military coup three months earlier, Gnassingbé Eyadéma installed himself as President of Togo, a post that he held until 2005.","url":"https://en.wikipedia.org/wiki/Gnassingb%C3%A9_Eyad%C3%A9ma"},{"year":1945,"text":"World War II: The German town of Friesoythe was razed by the 4th Canadian Division on the orders of Major General Christopher Vokes.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1944,"text":"The freighter Fort Stikine, carrying cotton bales, gold and ammunition, exploded in the harbour of Bombay, India, sinking surrounding ships and causing about 800 deaths.","url":"https://en.wikipedia.org/wiki/SS_Fort_Stikine"},{"year":1935,"text":"Dust Bowl: A severe dust storm swept across Oklahoma and northern Texas, removing an estimated 300 million tons of topsoil from the prairies.","url":"https://en.wikipedia.org/wiki/Dust_Bowl"},{"year":1931,"text":"After King Alfonso XIII left Spain, the Second Spanish Republic was proclaimed by a provisional government led by Niceto Alcalá-Zamora.","url":"https://en.wikipedia.org/wiki/Alfonso_XIII"},{"year":1909,"text":"Following a reactionary military revolt against the Committee of Union and Progress, a mob began a massacre of Armenian Christians in the Adana Vilayet of the Ottoman Empire.","url":"https://en.wikipedia.org/wiki/31_March_incident"},{"year":1908,"text":"The first Hauser Dam in the U.S. state of Montana failed, causing severe flooding and damage downstream.","url":"https://en.wikipedia.org/wiki/Hauser_Dam"},{"year":1906,"text":"The Azusa Street Revival, the primary catalyst for the spread of Pentecostalism in the 20th century, opened in Los Angeles.","url":"https://en.wikipedia.org/wiki/Azusa_Street_Revival"}],"births":[{"year":2001,"text":"Jalen Williams, American basketball player","url":"https://en.wikipedia.org/wiki/Jalen_Williams"},{"year":2000,"text":"Patrick Surtain II, American football player","url":"https://en.wikipedia.org/wiki/Patrick_Surtain_II"},{"year":1999,"text":"Chase Young, American football player","url":"https://en.wikipedia.org/wiki/Chase_Young"},{"year":1997,"text":"D. J. Moore, American football player","url":"https://en.wikipedia.org/wiki/D._J._Moore"},{"year":1996,"text":"Abigail Breslin, American actress","url":"https://en.wikipedia.org/wiki/Abigail_Breslin"},{"year":1995,"text":"Baker Mayfield, American football player","url":"https://en.wikipedia.org/wiki/Baker_Mayfield"},{"year":1995,"text":"Georgie Friedrichs, Australian rugby sevens player","url":"https://en.wikipedia.org/wiki/Georgina_Friedrichs"},{"year":1989,"text":"Joe Haden, American football player","url":"https://en.wikipedia.org/wiki/Joe_Haden"}],"deaths":[{"year":2025,"text":"Abdullah Ahmad Badawi, Malaysian civil servant and politician, 5th Prime Minister of Malaysia (born 1939)","url":"https://en.wikipedia.org/wiki/Abdullah_Ahmad_Badawi"},{"year":2024,"text":"Ken Holtzman, American baseball player (born 1945)","url":"https://en.wikipedia.org/wiki/Ken_Holtzman"},{"year":2023,"text":"Mark Sheehan, Irish guitarist (The Script) (born 1976)","url":"https://en.wikipedia.org/wiki/Mark_Sheehan"},{"year":2022,"text":"Mike Bossy, Canadian ice hockey player and sportscaster (born 1957)","url":"https://en.wikipedia.org/wiki/Mike_Bossy"},{"year":2022,"text":"Ilkka Kanerva, Finnish politician (born 1948)","url":"https://en.wikipedia.org/wiki/Ilkka_Kanerva"},{"year":2022,"text":"Orlando Julius, Nigerian saxophonist, singer (born 1943)","url":"https://en.wikipedia.org/wiki/Orlando_Julius"},{"year":2021,"text":"Bernie Madoff, American mastermind of the world's largest Ponzi scheme (born 1938)","url":"https://en.wikipedia.org/wiki/Bernie_Madoff"},{"year":2020,"text":"Carol D'Onofrio, American public health researcher (born 1936)","url":"https://en.wikipedia.org/wiki/Carol_D'Onofrio"}]},"census":null,"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."}