{"date":"2026-03-31","schema_version":1,"captured_at":"2026-08-25T23:34:25.814Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":18},"attention":[{"title":"Dhurandhar: The Revenge","views":420581,"rank":3,"extract":"Dhurandhar: The Revenge is a 2026 Indian Hindi-language spy action-thriller film written and directed by Aditya Dhar. It is produced by Dhar, Lokesh Dhar, and Jyoti Deshpande under Jio Studios and B62 Studios. 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It stars Ryan Gosling, who also produced the film, as Ryland","url":"https://en.wikipedia.org/wiki/Project_Hail_Mary_(film)","thumb":"https://upload.wikimedia.org/wikipedia/en/3/3b/Project_Hail_Mary_poster.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"Scott Mills","views":187824,"rank":8,"extract":"Scott Robert Mills is an English radio DJ, television presenter and occasional actor. He is best known for presenting the Scott Mills show on BBC Radio 1 from 2004 to 2022 and then, on BBC Radio 2, hosting the station's flagship breakfast show from January 202","url":"https://en.wikipedia.org/wiki/Scott_Mills","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/e/e0/Scott_Mills_2024_%28cropped%29.jpg/330px-Scott_Mills_2024_%28cropped%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"2026 Iran war","views":167911,"rank":9,"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":"Deaths in 2026","views":136975,"rank":10,"extract":"The following notable deaths occurred in 2026. 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In 2023 and 2024, Hurley led UConn to back-to-back NCAA Division I national championships, and led the Huskies to another title game appearance in 2026. ","url":"https://en.wikipedia.org/wiki/Dan_Hurley","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/7/72/HurleyWH2024.jpg/330px-HurleyWH2024.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Braylon Mullins","views":114388,"rank":13,"extract":"Braylon Anthony Mullins is an American college basketball player for the UConn Huskies of the Big East Conference.","url":"https://en.wikipedia.org/wiki/Braylon_Mullins","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/1/1b/Braylon_Mullins.jpg/330px-Braylon_Mullins.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Something Very Bad Is Going to Happen","views":112588,"rank":14,"extract":"Something Very Bad Is Going to Happen is an American horror television miniseries created by Haley Z. 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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":"Dhurandhar","views":83714,"rank":18,"extract":"Dhurandhar is a 2025 Indian Hindi-language spy action thriller film written and directed by Aditya Dhar. It is produced by Aditya Dhar, Lokesh Dhar and Jyoti Deshpande under Jio Studios and B62 Studios. The film features an ensemble cast consisting of Ranveer ","url":"https://en.wikipedia.org/wiki/Dhurandhar","thumb":"https://upload.wikimedia.org/wikipedia/en/c/ce/Dhurandhar_poster.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"Rahul Banerjee (actor)","views":81653,"rank":19,"extract":"Rahul Arunoday Banerjee, better known as Rahul Banerjee, was an Indian actor and writer. He primarily worked in Bengali films and television series. 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Hurt was also the recipient of an Obie Award and a Clarence Derwent Award.","url":"https://en.wikipedia.org/wiki/Mary_Beth_Hurt","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/8/86/MaryBethHurt02.JPG/330px-MaryBethHurt02.JPG?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Sara Arjun","views":80155,"rank":21,"extract":"Sara Arjun is an Indian actress who primarily appears in Tamil and Hindi films. The daughter of actor Raj Arjun, she appeared in several television commercials, including advertisements for Clinic Plus, and a short Hindi film before the age of six. 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Kennedy Jr.","views":74015,"rank":24,"extract":"John Fitzgerald Kennedy Jr., also referred to as JFK Jr., was an American businessman, attorney, magazine publisher, and journalist. He was the son of the 35th U.S. president John F. Kennedy, and First Lady Jacqueline Kennedy.","url":"https://en.wikipedia.org/wiki/John_F._Kennedy_Jr.","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/d/d3/John_Kennedy_Jr_1997_%28HQ%29.jpg/330px-John_Kennedy_Jr_1997_%28HQ%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Magistrates' Court, Christchurch","views":69738,"rank":26,"extract":"The former Magistrates' Court is a heritage-listed court building in Christchurch, New Zealand. 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The site aggregates records from Z-Library, Sci-Hub, and Library Genesis (LibGe","url":"https://en.wikipedia.org/wiki/Anna's_Archive","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/a/aa/Annasarchivehome_1.15.25.png/330px-Annasarchivehome_1.15.25.png?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"It's Christmas Day","views":68666,"rank":28,"extract":"\"It's Christmas Day\" is a Christmas song by South Korean singer-songwriter Roy Kim. It was released as a digital single on 19 December 2014, and distributed through CJ E&M Music.","url":"https://en.wikipedia.org/wiki/It's_Christmas_Day","thumb":"https://upload.wikimedia.org/wikipedia/en/3/39/RoyKim-It%27sChristmasDay.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"Paradise (2025 TV series)","views":67997,"rank":29,"extract":"Paradise is an American post-apocalyptic political thriller television series created by Dan Fogelman and starring Sterling K. Brown, Julianne Nicholson, and James Marsden. It was released on Hulu in the United States on January 26, 2025. The series has receiv","url":"https://en.wikipedia.org/wiki/Paradise_(2025_TV_series)","thumb":null},{"title":"BlaZeon","views":67378,"rank":30,"extract":"BlaZeon is a horizontally scrolling shoot 'em up arcade game released by Atlus in 1992 and was ported to the Super Nintendo Entertainment System in the same year. The game's most distinguishable feature is that players come equipped with a device that allows t","url":"https://en.wikipedia.org/wiki/BlaZeon","thumb":"https://upload.wikimedia.org/wikipedia/en/e/e0/BlaZeon_arcade_flyer.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"Carolyn Bessette Kennedy","views":66851,"rank":31,"extract":"Carolyn Jeanne Bessette-Kennedy was an American fashion publicist. Raised in Greenwich, Connecticut, she graduated from Boston University and joined Calvin Klein, where she rose from a sales position in Boston to publicity and show-production roles in New York","url":"https://en.wikipedia.org/wiki/Carolyn_Bessette_Kennedy","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/8/8b/Carolyn_Bessete_Kennedy_1999_%28HQ%29.jpg/330px-Carolyn_Bessete_Kennedy_1999_%28HQ%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Gary Woodland","views":65715,"rank":32,"extract":"Gary Lynn Woodland is an American professional golfer who plays on the PGA Tour. He has won one major championship, the 2019 U.S. Open.","url":"https://en.wikipedia.org/wiki/Gary_Woodland","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/3/37/Gary_Woodland_with_2019_US_Open_trophy.jpg/330px-Gary_Woodland_with_2019_US_Open_trophy.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Alex Duong","views":64920,"rank":34,"extract":"Alexander Duong was an American comedian and television actor. He was best known for playing the recurring role of criminal and gang leader Sonny Le in the American police procedural television series Blue Bloods.","url":"https://en.wikipedia.org/wiki/Alex_Duong","thumb":"https://upload.wikimedia.org/wikipedia/en/1/1b/Alex_Duong.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"Kharg Island","views":64354,"rank":35,"extract":"Kharg Island, also spelled Khark Island and often referred to as the \"Forbidden Island\", is a continental island of Iran in the Persian Gulf. The island is 25 kilometres (16 mi) off the coast of Iran and 660 kilometres (410 mi) northwest of the Strait of Hormu","url":"https://en.wikipedia.org/wiki/Kharg_Island","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/4/46/ISS005-E-11900_lrg.jpg/330px-ISS005-E-11900_lrg.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Porepunkah police shootings","views":63652,"rank":36,"extract":"On the morning of 26 August 2025, police officers Neal Thompson and Vadim De Waart-Hottart were killed in a shooting at a property near the regional Victorian town of Porepunkah, Australia, while attempting to execute a warrant. A third officer was injured. Th","url":"https://en.wikipedia.org/wiki/Porepunkah_police_shootings","thumb":"https://upload.wikimedia.org/wikipedia/en/thumb/f/f5/Porepunkah_police_shooting_victims.jpeg/330px-Porepunkah_police_shooting_victims.jpeg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"}],"frontier":[{"title":"Claude Code's source code has been leaked via a map file in their NPM registry","points":2095,"comments":1022,"url":"https://twitter.com/Fried_rice/status/2038894956459290963","discussion":"https://news.ycombinator.com/item?id=47584540"},{"title":"Axios compromised on NPM – Malicious versions drop remote access trojan","points":1934,"comments":807,"url":"https://www.stepsecurity.io/blog/axios-compromised-on-npm-malicious-versions-drop-remote-access-trojan","discussion":"https://news.ycombinator.com/item?id=47582220"},{"title":"The Claude Code Source Leak: fake tools, frustration regexes, undercover 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Recognition","points":221,"comments":71,"url":"https://cohere.com/blog/transcribe","discussion":"https://news.ycombinator.com/item?id=47589818"},{"title":"Show HN: Postgres extension for BM25 relevance-ranked full-text search","points":203,"comments":56,"url":"https://github.com/timescale/pg_textsearch","discussion":"https://news.ycombinator.com/item?id=47589856"}],"research":[{"title":"Algorithmic Insurance","abstract":"When AI systems make errors in high-stakes domains like medical diagnosis or autonomous vehicles, a single algorithmic flaw across varying operational contexts can generate highly heterogeneous losses that challenge traditional insurance assumptions. Algorithmic insurance constitutes a novel form of financial coverage for AI-induced damages, representing an emerging market that addresses algorithm-driven liability. H","authors":["Bertsimas, Dimitris","Orfanoudaki, Agni"],"url":"https://arxiv.org/abs/2106.00839","arxiv_id":"2106.00839","published":"2026-03-31"},{"title":"Learning general conditional independence structures via the neighbourhood lattice","abstract":"We study the problem of learning multivariate dependencies in nonparametric and high-dimensional settings. This includes but is not limited to graphical models. Our approach effectively combines several features that are missing from previous work on this problem: We show how the entire dependence structure can be learned nonparametrically while simultaneously evading the curse of dimensionality and relaxing common a","authors":["Amini, Arash A.","Aragam, Bryon","Zhou, Qing"],"url":"https://arxiv.org/abs/2206.05829","arxiv_id":"2206.05829","published":"2026-03-31"},{"title":"Less is More: Rethinking Few-Shot Learning and Recurrent Neural Nets","abstract":"The statistical supervised learning framework assumes an input-output set with a joint probability distribution that is reliably represented by the training dataset. The learner is then required to output a prediction rule learned from the training dataset's input-output pairs. In this work, we provide meaningful insights into the asymptotic equipartition property (AEP) \\citep{Shannon:1948} in the context of mach","authors":["Pereg, Deborah","Villiger, Martin","Bouma, Brett","Golland, Polina"],"url":"https://arxiv.org/abs/2209.14267","arxiv_id":"2209.14267","published":"2026-03-31"},{"title":"Convergence of the Inexact Langevin Algorithm in KL Divergence with Application to Score-based Generative Models","abstract":"Motivated by the increasingly popular Score-based Generative Modeling (SGM), we study the Inexact Langevin Dynamics (ILD) and Inexact Langevin Algorithm (ILA) where a score function estimate is used in place of the exact score. We establish {\\em stable} biased convergence guarantees in terms of the Kullback-Leibler (KL) divergence. To achieve these guarantees, we impose two key assumptions: 1) the target distribution","authors":["Yang, Kaylee Yingxi","Wibisono, Andre"],"url":"https://arxiv.org/abs/2211.01512","arxiv_id":"2211.01512","published":"2026-03-31"},{"title":"Continual Graph Learning: A Survey","abstract":"Continual Graph Learning (CGL) enables models to incrementally learn from streaming graph-structured data without forgetting previously acquired knowledge. Experience replay is a common solution that reuses a subset of past samples during training. However, it may lead to information loss and privacy risks. Generative replay addresses these concerns by synthesizing informative subgraphs for rehearsal. Existing genera","authors":["Yuan, Qiao","Guan, Sheng-Uei","Ni, Pin","Luo, Tianlun","Man, Ka Lok","Wong, Prudence"],"url":"https://arxiv.org/abs/2301.12230","arxiv_id":"2301.12230","published":"2026-03-31"},{"title":"Correcting Auto-Differentiation in Neural-ODE Training","abstract":"Does the use of auto-differentiation yield reasonable updates for deep neural networks (DNNs)? Specifically, when DNNs are designed to adhere to neural ODE architectures, can we trust the gradients provided by auto-differentiation? Through mathematical analysis and numerical evidence, we demonstrate that when neural networks employ high-order methods, such as Linear Multistep Methods (LMM) or Explicit Runge-Kutta Met","authors":["Xu, Yewei","Chen, Shi","Li, Qin"],"url":"https://arxiv.org/abs/2306.02192","arxiv_id":"2306.02192","published":"2026-03-31"},{"title":"Evasion Adversarial Attacks Remain Impractical Against ML-based Network Intrusion Detection Systems, Especially Dynamic Ones","abstract":"Machine Learning (ML) has become pervasive, and its deployment in Network Intrusion Detection Systems (NIDS) is inevitable due to its automated nature and high accuracy compared to traditional models in processing and classifying large volumes of data. However, ML has been found to have several flaws, most importantly, adversarial attacks, which aim to trick ML models into producing faulty predictions. While most adv","authors":["elShehaby, Mohamed","Matrawy, Ashraf"],"url":"https://arxiv.org/abs/2306.05494","arxiv_id":"2306.05494","published":"2026-03-31"},{"title":"Clinical application of HEDI for biomechanical evaluation and visualisation in incisional hernia repair","abstract":"Background: Abdominal wall defects, such as incisional hernias, are a common source of pain and discomfort and often require repeated surgical interventions. Traditional mesh repair techniques typically rely on fixed overlap based on defect size, without considering important biomechanical factors like muscle activity, internal pressure, and tissue elasticity. This study aims to introduce a biomechanical approach to ","authors":["Lösel, Philipp D.","Relle, Jacob J.","Voß, Samuel","Raschidi, Ramesch","Nessel, Regine","Görich, Johannes"],"url":"https://arxiv.org/abs/2307.01502","arxiv_id":"2307.01502","published":"2026-03-31"},{"title":"Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks","abstract":"In this work, we propose a novel prior learning method for advancing generalization and uncertainty estimation in deep neural networks. The key idea is to exploit scalable and structured posteriors of neural networks as informative priors with generalization guarantees. Our learned priors provide expressive probabilistic representations at large scale, like Bayesian counterparts of pre-trained models on ImageNet, and","authors":["Schnaus, Dominik","Lee, Jongseok","Cremers, Daniel","Triebel, Rudolph"],"url":"https://arxiv.org/abs/2307.07753","arxiv_id":"2307.07753","published":"2026-03-31"},{"title":"Unichain and Aperiodicity are Sufficient for Asymptotic Optimality of Average-Reward Restless Bandits","abstract":"We consider the infinite-horizon, average-reward restless bandit problem in discrete time. We propose a new class of policies that are designed to drive a progressively larger subset of arms toward the optimal distribution. We show that our policies are asymptotically optimal with an $O(1/\\sqrt{N})$ optimality gap for an $N$-armed problem, assuming only a unichain and aperiodicity assumption. Our approach departs fro","authors":["Hong, Yige","Xie, Qiaomin","Chen, Yudong","Wang, Weina"],"url":"https://arxiv.org/abs/2402.05689","arxiv_id":"2402.05689","published":"2026-03-31"},{"title":"Learning the Model While Learning Q: Finite-Time Sample Complexity of Online SyncMBQ","abstract":"Reinforcement learning has witnessed significant advancements, particularly with the emergence of model-based approaches. Among these, $Q$-learning has proven to be a powerful algorithm in model-free settings. However, the extension of $Q$-learning to a model-based framework remains relatively unexplored. In this paper, we investigate the sample complexity of $Q$-learning when integrated with a model-based approach. ","authors":["Lim, Han-Dong","Lee, HyeAnn","Lee, Donghwan"],"url":"https://arxiv.org/abs/2402.11877","arxiv_id":"2402.11877","published":"2026-03-31"},{"title":"Estimation of Energy-dissipation Lower-bounds for Neuromorphic Learning-in-memory","abstract":"Neuromorphic or neurally-inspired optimizers rely on local but parallel parameter updates to solve problems that range from quadratic programming to Ising machines. An ideal realization of such an optimizer not only uses a compute-in-memory (CIM) paradigm to address the so-called memory-wall (i.e. energy dissipated due to repeated memory read access), but also uses a learning-in-memory (LIM) paradigm to address the e","authors":["Chen, Zihao","Ahsan, Faiek","Leugering, Johannes","Cauwenberghs, Gert","Chakrabartty, Shantanu"],"url":"https://arxiv.org/abs/2402.14878","arxiv_id":"2402.14878","published":"2026-03-31"},{"title":"AltChart: Enhancing VLM-based Chart Summarization Through Multi-Pretext Tasks","abstract":"Chart summarization is a crucial task for blind and visually impaired individuals as it is their primary means of accessing and interpreting graphical data. Crafting high-quality descriptions is challenging because it requires precise communication of essential details within the chart without vision perception. Many chart analysis methods, however, produce brief, unstructured responses that may contain significant h","authors":["Moured, Omar","Zhang, Jiaming","Sarfraz, M. Saquib","Stiefelhagen, Rainer"],"url":"https://arxiv.org/abs/2405.13580","arxiv_id":"2405.13580","published":"2026-03-31"},{"title":"Monitoring Simulated Physical Weakness Using Detailed Behavioral Features and Personalized Modeling","abstract":"Aging and chronic conditions affect older adults' daily lives, making the early detection of developing health issues crucial. Weakness, which is common across many conditions, can subtly alter physical movements and daily activities. However, these behavioral changes can be difficult to detect because they are gradual and often masked by natural day-to-day variability. To isolate the behavioral phenotype of weak","authors":["Long-fei, Chen","Raza, Muhammad Ahmed","Innes, Craig","Ramamoorthy, Subramanian","Fisher, Robert B."],"url":"https://arxiv.org/abs/2406.10045","arxiv_id":"2406.10045","published":"2026-03-31"},{"title":"iiANET: Inception Inspired Attention Hybrid Network for efficient Long-Range Dependency","abstract":"The recent emergence of hybrid models has introduced a transformative approach to computer vision, gradually moving beyond conventional convolutional neural networks and vision transformers. However, efficiently combining these two approaches to better capture long-range dependencies in complex images remains a challenge. In this paper, we present iiANET (Inception Inspired Attention Network), an efficient hybrid vis","authors":["Yunusa, Haruna","Lawan, Adamu","Yusuf, Abdulganiyu Abdu"],"url":"https://arxiv.org/abs/2407.07603","arxiv_id":"2407.07603","published":"2026-03-31"},{"title":"LSM-GNN: Large-scale Storage-based Multi-GPU GNN Training by Optimizing Data Transfer Scheme","abstract":"Graph Neural Networks (GNNs) are widely used today in recommendation systems, fraud detection, and node/link classification tasks. Real world GNNs continue to scale in size and require a large memory footprint for storing graphs and embeddings that often exceed the memory capacities of the target GPUs used for training. To address limited memory capacities, traditional GNN training approaches use graph partitioning a","authors":["Park, Jeongmin Brian","Wu, Kun","Mailthody, Vikram Sharma","Quresh, Zaid","Mahlke, Scott","Hwu, Wen-mei"],"url":"https://arxiv.org/abs/2407.15264","arxiv_id":"2407.15264","published":"2026-03-31"},{"title":"Bidirectional Multimodal Prompt Learning with Scale-Aware Training for Few-Shot Multi-Class Anomaly Detection","abstract":"Few-shot multi-class anomaly detection is crucial in real industrial settings, where only a few normal samples are available while numerous object types must be inspected. This setting is challenging as defect patterns vary widely across categories while normal samples remain scarce. Existing vision-language model-based approaches typically depend on class-specific anomaly descriptions or auxiliary modules, limiting ","authors":["Lee, Yujin","Kim, Sewon","Moon, Daeun","Jang, Seoyoon","Yoon, Hyunsoo"],"url":"https://arxiv.org/abs/2408.13516","arxiv_id":"2408.13516","published":"2026-03-31"},{"title":"CBF-LLM: Safe Control for LLM Alignment","abstract":"This paper proposes a control-based framework for aligning large language models (LLMs) by leveraging a control barrier function (CBF) to ensure user-desirable text generation. The presented framework applies the safety filter, designed based on the CBF, to the output generation of the baseline LLM, i.e., the sequence of the token, with the aim of intervening in the generated text. The overall text-generation system ","authors":["Miyaoka, Yuya","Inoue, Masaki"],"url":"https://arxiv.org/abs/2408.15625","arxiv_id":"2408.15625","published":"2026-03-31"},{"title":"Continual Robot Skill and Task Learning via Dialogue","abstract":"Interactive robot learning is a challenging problem as the robot is present with human users who expect the robot to learn novel skills to solve novel tasks perpetually with sample efficiency. In this work we present a framework for robots to continually learn tasks and visuo-motor skills and query for novel skills via dialog interactions with human users. Our robot agent maintains a skill library, and uses an existi","authors":["Gu, Weiwei","Kondepudi, Suresh","Gupta, Anmol","Huang, Lixiao","Gopalan, Nakul"],"url":"https://arxiv.org/abs/2409.03166","arxiv_id":"2409.03166","published":"2026-03-31"},{"title":"HYDRA: Hybrid Data Multiplexing and Run-time Layer Configurable DNN Accelerator","abstract":"Deep neural networks (DNNs) offer plenty of challenges in executing efficient computation at edge nodes, primarily due to the huge hardware resource demands. The article proposes HYDRA, hybrid data multiplexing, and runtime layer configurable DNN accelerators to overcome the drawbacks. The work proposes a layer-multiplexed approach, which further reuses a single activation function within the execution of a single la","authors":["Kumar, Sonu","Gupta, Komal","Raut, Gopal","Lokhande, Mukul","Vishvakarma, Santosh Kumar"],"url":"https://arxiv.org/abs/2409.04976","arxiv_id":"2409.04976","published":"2026-03-31"},{"title":"The Northeast Materials Database for Magnetic Materials","abstract":"The discovery of magnetic materials with high operating temperature ranges and optimized performance is essential for advanced applications. Current data-driven approaches are limited by the lack of accurate, comprehensive, and feature-rich databases. This study aims to address this challenge by using Large Language Models (LLMs) to create a comprehensive, experiment-based, magnetic materials database named the North","authors":["Itani, Suman","Zhang, Yibo","Zang, Jiadong"],"url":"https://arxiv.org/abs/2409.15675","arxiv_id":"2409.15675","published":"2026-03-31"},{"title":"Match Stereo Videos via Bidirectional Alignment","abstract":"Video stereo matching is the task of estimating consistent disparity maps from rectified stereo videos. There is considerable scope for improvement in both datasets and methods within this area. Recent learning-based methods often focus on optimizing performance for independent stereo pairs, leading to temporal inconsistencies in videos. Existing video methods typically employ sliding window operation over time dimen","authors":["Jing, Junpeng","Mao, Ye","Qiu, Anlan","Mikolajczyk, Krystian"],"url":"https://arxiv.org/abs/2409.20283","arxiv_id":"2409.20283","published":"2026-03-31"},{"title":"Recent Advances of Multimodal Continual Learning: A Comprehensive Survey","abstract":"Continual learning (CL) aims to empower machine learning models to learn continually from new data, while building upon previously acquired knowledge without forgetting. As models have evolved from small to large pre-trained architectures, and from supporting unimodal to multimodal data, multimodal continual learning (MMCL) methods have recently emerged. The primary complexity of MMCL is that it extends beyond a simp","authors":["Yu, Dianzhi","Zhang, Xinni","Chen, Yankai","Liu, Aiwei","Zhang, Yifei","Yu, Philip S."],"url":"https://arxiv.org/abs/2410.05352","arxiv_id":"2410.05352","published":"2026-03-31"},{"title":"Multi-Agent Actor-Critics in Autonomous Cyber Defense","abstract":"The need for autonomous and adaptive defense mechanisms has become paramount in the rapidly evolving landscape of cyber threats. Multi-Agent Deep Reinforcement Learning (MADRL) presents a promising approach to enhancing the efficacy and resilience of autonomous cyber operations. This paper explores the application of Multi-Agent Actor-Critic algorithms which provides a general form in Multi-Agent learning to cyber de","authors":["Wang, Mingjun","Dechene, Remington"],"url":"https://arxiv.org/abs/2410.09134","arxiv_id":"2410.09134","published":"2026-03-31"},{"title":"Efficient Mixture-of-Expert for Video-based Driver State and Physiological Multi-task Estimation in Conditional Autonomous Driving","abstract":"Road safety remains a critical challenge worldwide, with approximately 1.35 million fatalities annually attributed to traffic accidents, often due to human errors. As we advance towards higher levels of vehicle automation, challenges still exist, as driving with automation can cognitively over-demand drivers if they engage in non-driving-related tasks (NDRTs), or lead to drowsiness if driving was the sole task. This ","authors":["Wang, Jiyao","Yang, Xiao","Wang, Zhenyu","Wei, Ximeng","Wang, Ange","He, Dengbo"],"url":"https://arxiv.org/abs/2410.21086","arxiv_id":"2410.21086","published":"2026-03-31"}],"history":{"events":[{"year":2023,"text":"A tornado caused the collapse of a venue hosting a sold-out concert in Belvidere, Illinois, United States, resulting in one death and 48 injuries.","url":"https://en.wikipedia.org/wiki/Belvidere_Apollo_Theatre_collapse"},{"year":2018,"text":"Nikol Pashinyan began his protest walk, starting in the city of Gyumri, opening the 2018 Armenian revolution.","url":"https://en.wikipedia.org/wiki/Gyumri"},{"year":2004,"text":"The Old National Library Building in Singapore was closed to make way for a tunnel, despite widespread protests.","url":"https://en.wikipedia.org/wiki/Old_National_Library_Building"},{"year":1995,"text":"American singer-songwriter Selena, known as the \"queen of Tejano music\", was murdered by the president of her fan club, Yolanda Saldívar, in Corpus Christi, Texas, deeply affecting the Latino community.","url":"https://en.wikipedia.org/wiki/Selena"},{"year":1995,"text":"TAROM Flight 371 (pictured) crashed near Balotești, Romania, killing all 60 people on board.","url":"https://en.wikipedia.org/wiki/TAROM_Flight_371"},{"year":1992,"text":"USS Missouri, the last active United States Navy battleship, was decommissioned in Long Beach, California.","url":"https://en.wikipedia.org/wiki/USS_Missouri_(BB-63)"},{"year":1986,"text":"Mexicana de Aviación Flight 940 crashed into the Sierra Madre Oriental near Maravatío, killing 167 people.","url":"https://en.wikipedia.org/wiki/Mexicana_de_Aviaci%C3%B3n_Flight_940"},{"year":1964,"text":"The Brazilian Armed Forces overthrew President João Goulart, establishing a military dictatorship that lasted 21 years.","url":"https://en.wikipedia.org/wiki/Brazilian_Armed_Forces"},{"year":1959,"text":"After a two-week escape journey from Tibet, the 14th Dalai Lama reached the Tawang Monastery in Arunachal Pradesh in India.","url":"https://en.wikipedia.org/wiki/Dalai_Lama's_escape_from_China"},{"year":1942,"text":"Second World War: Because of a mutiny by Indian soldiers against their British officers, Japanese troops captured Christmas Island without any resistance.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1930,"text":"To avoid government censorship, Hollywood movie studios instituted their own set of industry censorship guidelines, popularly known as the Hays Code.","url":"https://en.wikipedia.org/wiki/Cinema_of_the_United_States"},{"year":1921,"text":"The Australian Air Force was formed, replacing the short-lived Australian Air Corps and separating it from the Army.","url":"https://en.wikipedia.org/wiki/Royal_Australian_Air_Force"},{"year":1913,"text":"Arnold Schoenberg conducted the Vienna Concert Society in a concert of expressionist music that so shocked the audience that they began to riot.","url":"https://en.wikipedia.org/wiki/Arnold_Schoenberg"},{"year":1910,"text":"Six English towns amalgamated to form a single county borough called Stoke-on-Trent, the first union of its type.","url":"https://en.wikipedia.org/wiki/Federation_of_Stoke-on-Trent"},{"year":1901,"text":"A magnitude 7.2 earthquake struck the Black Sea, the most powerful ever recorded in the area.","url":"https://en.wikipedia.org/wiki/Moment_magnitude_scale"},{"year":1899,"text":"Philippine–American War: Malolos, capital of the First Philippine Republic, was captured by American forces.","url":"https://en.wikipedia.org/wiki/Philippine%E2%80%93American_War"},{"year":1854,"text":"U.S. Navy Commodore Matthew C. Perry (Japanese depiction pictured) and the Tokugawa shogunate signed the Convention of Kanagawa, forcing the opening of Japanese ports to American trade.","url":"https://en.wikipedia.org/wiki/United_States_Navy"},{"year":1800,"text":"After fighting through the night, the French Navy ship of the line Guillaume Tell surrendered to a British squadron in the Malta Channel.","url":"https://en.wikipedia.org/wiki/Action_of_31_March_1800"}],"births":[{"year":2005,"text":"Reed Baker-Whiting, American professional footballer","url":"https://en.wikipedia.org/wiki/Reed_Baker-Whiting"},{"year":2004,"text":"Samson Baidoo, Austrian professional footballer","url":"https://en.wikipedia.org/wiki/Samson_Baidoo"},{"year":2004,"text":"Mateo Sanabria, Argentine professional footballer","url":"https://en.wikipedia.org/wiki/Mateo_Sanabria"},{"year":2004,"text":"Alex Luna, Argentine professional footballer","url":"https://en.wikipedia.org/wiki/Alex_Luna_(footballer)"},{"year":1999,"text":"Japhet Tanganga, English footballer","url":"https://en.wikipedia.org/wiki/Japhet_Tanganga"},{"year":1999,"text":"Brooke Scullion, Irish Singer","url":"https://en.wikipedia.org/wiki/Brooke_Scullion"},{"year":1999,"text":"Jens Odgaard, Danish professional footballer","url":"https://en.wikipedia.org/wiki/Jens_Odgaard"},{"year":1999,"text":"Denys Strekalin, Ukrainian-born pair skater","url":"https://en.wikipedia.org/wiki/Denys_Strekalin"}],"deaths":[{"year":2026,"text":"Stephen Lewis, Canadian politician and diplomat, 14th Canadian Ambassador to the United Nations (born 1937)","url":"https://en.wikipedia.org/wiki/Stephen_Lewis"},{"year":2025,"text":"Sian Barbara Allen, American television actress (born 1946)","url":"https://en.wikipedia.org/wiki/Sian_Barbara_Allen"},{"year":2025,"text":"Betty Webb, English code breaker (born 1923)","url":"https://en.wikipedia.org/wiki/Betty_Webb_(code_breaker)"},{"year":2024,"text":"Barbara Rush, American actress (born 1927)","url":"https://en.wikipedia.org/wiki/Barbara_Rush"},{"year":2022,"text":"Shirley Burkovich, former American All-American Girls Professional Baseball League (AAGPBL) player (born 1933)","url":"https://en.wikipedia.org/wiki/Shirley_Burkovich"},{"year":2022,"text":"Patrick Demarchelier, French fashion photographer (born 1943)","url":"https://en.wikipedia.org/wiki/Patrick_Demarchelier"},{"year":2022,"text":"Moana Jackson, New Zealand lawyer specialising in constitutional law (born 1945)","url":"https://en.wikipedia.org/wiki/Moana_Jackson"},{"year":2022,"text":"Tullio Moneta, Italian mercenary and actor (born 1937)","url":"https://en.wikipedia.org/wiki/Tullio_Moneta"}]},"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."}