{"date":"2026-03-12","schema_version":1,"captured_at":"2026-08-25T23:31:38.120Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":16},"attention":[{"title":"Bam Adebayo","views":370279,"rank":4,"extract":"Edrice Femi \"Bam\" Adebayo is an American professional basketball player for the Miami Heat of the National Basketball Association (NBA). He played college basketball for the Kentucky Wildcats before being selected by the Heat with the 14th overall pick in the ","url":"https://en.wikipedia.org/wiki/Bam_Adebayo","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/7/7d/Bam_Adebayo_%28cropped%29.jpg/330px-Bam_Adebayo_%28cropped%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"2026 Iran war","views":312460,"rank":5,"extract":"Since 28 February 2026, the United States and Israel have been at war with Iran and its regional allies. 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Motivated by acquisition efficiency when multiple Bernoulli processes are of interest, we formulate the allocation of trials under a constraint on the mean as an optimal resource allocation problem. An oracle-aided trial allocati","authors":["Medin, Safa C.","Murray-Bruce, John","Castañón, David","Goyal, Vivek K"],"url":"https://arxiv.org/abs/1809.08801","arxiv_id":"1809.08801","published":"2026-03-12"},{"title":"Segmentation of Retinal Low-Cost Optical Coherence Tomography Images using Deep Learning","abstract":"The treatment of age-related macular degeneration (AMD) requires continuous eye exams using optical coherence tomography (OCT). The need for treatment is determined by the presence or change of disease-specific OCT-based biomarkers. Therefore, the monitoring frequency has a significant influence on the success of AMD therapy. However, the monitoring frequency of current treatment schemes is not individually adapted t","authors":["Kepp, Timo","Sudkamp, Helge","von der Burchard, Claus","Schenke, Hendrik","Koch, Peter","Hüttmann, Gereon"],"url":"https://arxiv.org/abs/2001.08480","arxiv_id":"2001.08480","published":"2026-03-12"},{"title":"Two-Dimensional Non-Line-of-Sight Scene Estimation from a Single Edge Occluder","abstract":"Passive non-line-of-sight imaging methods are often faster and stealthier than their active counterparts, requiring less complex and costly equipment. However, many of these methods exploit motion of an occluder or the hidden scene, or require knowledge or calibration of complicated occluders. The edge of a wall is a known and ubiquitous occluding structure that may be used as an aperture to image the region hidden b","authors":["Seidel, Sheila W.","Murray-Bruce, John","Ma, Yanting","Yu, Christopher","Freeman, William T.","Goyal, Vivek K"],"url":"https://arxiv.org/abs/2006.09241","arxiv_id":"2006.09241","published":"2026-03-12"},{"title":"Near optimal sample complexity for matrix and tensor normal models via geodesic convexity","abstract":"The matrix normal model, i.e., the family of Gaussian matrix-variate distributions whose covariance matrices are the Kronecker product of two lower dimensional factors, is frequently used to model matrix-variate data. The tensor normal model generalizes this family to Kronecker products of three or more factors. We study the estimation of the Kronecker factors of the covariance matrix in the matrix and tensor normal ","authors":["Franks, Cole","Oliveira, Rafael","Ramachandran, Akshay","Walter, Michael"],"url":"https://arxiv.org/abs/2110.07583","arxiv_id":"2110.07583","published":"2026-03-12"},{"title":"BEFANA: A Tool for Biodiversity-Ecosystem Functioning Assessment by Network Analysis","abstract":"BEFANA is a free and open-source software tool for ecological network analysis and visualisation. It is adapted to ecologists' needs and allows them to study the topology and dynamics of ecological networks as well as apply selected machine learning algorithms. BEFANA is implemented in Python, and structured as an ordered collection of interactive computational notebooks. It relies on widely used open-source libr","authors":["Marzidovšek, Martin","Podpečan, Vid","Conti, Erminia","Debeljak, Marko","Mulder, Christian"],"url":"https://arxiv.org/abs/2203.11687","arxiv_id":"2203.11687","published":"2026-03-12"},{"title":"Non-Line-of-Sight Tracking and Mapping with an Active Corner Camera","abstract":"The ability to form non-line-of-sight (NLOS) images of changing scenes could be transformative in a variety of fields, including search and rescue, autonomous vehicle navigation, and reconnaissance. Most existing active NLOS methods illuminate the hidden scene using a pulsed laser directed at a relay surface and collect time-resolved measurements of returning light. The prevailing approaches include raster scanning o","authors":["Seidel, Sheila","Rueda-Chacon, Hoover","Cusini, Iris","Villa, Federica","Zappa, Franco","Yu, Christopher"],"url":"https://arxiv.org/abs/2208.01702","arxiv_id":"2208.01702","published":"2026-03-12"},{"title":"In Pursuit of Many: A Review of Modern Multiple Object Tracking Systems","abstract":"Multiple Object Tracking (MOT) is a core capability in modern computer vision, essential to autonomous driving, surveillance, sports analytics, robotics, and biomedical imaging. Persistent identity assignment across frames remains challenging in real scenes because of occlusion, dense crowds, appearance ambiguity, scale variation, camera motion, and identity switching. In this survey we synthesize recent progress by ","authors":["Bashar, Mk","Islam, Samia","Hussain, Kashifa Kawaakib","Hasan, Md. Bakhtiar","Rahman, A. B. M. Ashikur","Kabir, Md. Hasanul"],"url":"https://arxiv.org/abs/2209.04796","arxiv_id":"2209.04796","published":"2026-03-12"},{"title":"Efficient Bayesian Updates for Deep Active Learning via Laplace Approximations","abstract":"Deep active learning (AL) selects batches of instances for annotation to avoid retraining deep neural networks (DNNs) after each new label. Employing a naive top-$b$ selection can result in a batch of redundant (similar) instances. To address this, various AL strategies employ clustering techniques that ensure diversity within a batch. We approach this issue by substituting the costly retraining with an efficient Bay","authors":["Huseljic, Denis","Herde, Marek","Rauch, Lukas","Hahn, Paul","Huang, Zhixin","Kottke, Daniel"],"url":"https://arxiv.org/abs/2210.06112","arxiv_id":"2210.06112","published":"2026-03-12"},{"title":"Explainability of Text Processing and Retrieval Methods: A Survey","abstract":"Deep Learning and Machine Learning based models have become extremely popular in text processing and information retrieval. However, the non-linear structures present inside the networks make these models largely inscrutable. A significant body of research has focused on increasing the transparency of these models. This article provides a broad overview of research on the explainability and interpretability of natura","authors":["Saha, Sourav","Majumdar, Debapriyo","Mitra, Mandar"],"url":"https://arxiv.org/abs/2212.07126","arxiv_id":"2212.07126","published":"2026-03-12"},{"title":"Improving Fairness with Ensemble Combination: Margin-Dependent Bounds","abstract":"The concern about hidden discrimination in machine learning models is growing, as their widespread real-world applications increasingly impact human lives. Various techniques, including commonly used group fairness measures and several fairness-aware ensemble-based methods, have been developed to enhance fairness. However, existing fairness measures typically focus on only one aspect -- either group or individual fai","authors":["Bian, Yijun"],"url":"https://arxiv.org/abs/2301.10813","arxiv_id":"2301.10813","published":"2026-03-12"},{"title":"An Updated Assessment of Reinforcement Learning for Macro Placement","abstract":"We provide an improved assessment of Google Brain's deep reinforcement learning approach to macro placement and its updated Circuit Training (CT) implementation in GitHub. A stronger simulated annealing (SA) baseline leverages the &#34;go-with-the-winners&#34; metaheuristic and a multi-threading implementation. We develop and release new public benchmarks in sub-10nm technology: LEF/DEF for Google's 7nm TSMC ","authors":["Cheng, Chung-Kuan","Kahng, Andrew B.","Kundu, Sayak","Wang, Yucheng","Wang, Zhiang"],"url":"https://arxiv.org/abs/2302.11014","arxiv_id":"2302.11014","published":"2026-03-12"},{"title":"Disjunctive Branch-and-Bound for Certifiably Optimal Low-Rank Matrix Completion","abstract":"Low-rank matrix completion consists of computing a matrix of minimal complexity that recovers a given set of observations as accurately as possible. Unfortunately, existing methods for matrix completion are heuristics that, while highly scalable and often identifying high-quality solutions, do not provide an instance-wise certificate of optimality. We reexamine matrix completion with an optimality-oriented eye. We re","authors":["Bertsimas, Dimitris","Cory-Wright, Ryan","Lo, Sean","Pauphilet, Jean"],"url":"https://arxiv.org/abs/2305.12292","arxiv_id":"2305.12292","published":"2026-03-12"},{"title":"Mindstorms in Natural Language-Based Societies of Mind","abstract":"Both Minsky's &#34;society of mind&#34; and Schmidhuber's &#34;learning to think&#34; inspire diverse societies of large multimodal neural networks (NNs) that solve problems by interviewing each other in a &#34;mindstorm.&#34; Recent implementations of NN-based societies of minds consist of large language models (LLMs) and other NN-based experts communicating through a natural language interface. In doing so,","authors":["Zhuge, Mingchen","Liu, Haozhe","Faccio, Francesco","Ashley, Dylan R.","Csordás, Róbert","Gopalakrishnan, Anand"],"url":"https://arxiv.org/abs/2305.17066","arxiv_id":"2305.17066","published":"2026-03-12"},{"title":"An Overview about Emerging Technologies of Autonomous Driving","abstract":"Since DARPA started Grand Challenges in 2004 and Urban Challenges in 2007, autonomous driving has been the most active field of AI applications. This paper gives an overview about technical aspects of autonomous driving technologies and open problems. We investigate the major fields of self-driving systems, such as perception, mapping and localization, prediction, planning and control, simulation, V2X and safety etc.","authors":["Huang, Yu","Chen, Yue","Yang, Zijiang"],"url":"https://arxiv.org/abs/2306.13302","arxiv_id":"2306.13302","published":"2026-03-12"},{"title":"Absorption-Based, Passive Range Imaging from Hyperspectral Thermal Measurements","abstract":"Passive hyperspectral longwave infrared measurements are remarkably informative about the surroundings. Remote object material and temperature determine the spectrum of thermal radiance, and range, air temperature, and gas concentrations determine how this spectrum is modified by propagation to the sensor. We introduce a passive range imaging method based on computationally separating these phenomena. Previous method","authors":["Gallastegi, Unay Dorken","Rueda-Chacon, Hoover","Stevens, Martin J.","Goyal, Vivek K"],"url":"https://arxiv.org/abs/2308.05818","arxiv_id":"2308.05818","published":"2026-03-12"},{"title":"Riemannian Laplace Approximation with the Fisher Metric","abstract":"Laplace's method approximates a target density with a Gaussian distribution at its mode. It is computationally efficient and asymptotically exact for Bayesian inference due to the Bernstein-von Mises theorem, but for complex targets and finite-data posteriors it is often too crude an approximation. A recent generalization of the Laplace Approximation transforms the Gaussian approximation according to a chosen Rie","authors":["Yu, Hanlin","Hartmann, Marcelo","Williams, Bernardo","Girolami, Mark","Klami, Arto"],"url":"https://arxiv.org/abs/2311.02766","arxiv_id":"2311.02766","published":"2026-03-12"},{"title":"Large Language Models for Travel Behavior Prediction","abstract":"Travel behavior prediction is a core problem in transportation demand management and is traditionally addressed using numerical models calibrated on observed data. With recent advances in large language models (LLMs), new opportunities have emerged to model human decision-making through natural language reasoning. This study explores the use of LLMs for travel behavior prediction through two complementary frameworks.","authors":["Mo, Baichuan","Xu, Hanyong","Ma, Ruoyun","Cho, Jung-Hoon","Zhuang, Dingyi","Guo, Xiaotong"],"url":"https://arxiv.org/abs/2312.00819","arxiv_id":"2312.00819","published":"2026-03-12"},{"title":"Optimal Transport Aggregation for Distributed Mixture-of-Experts","abstract":"Mixture-of-experts (MoE) models provide a flexible statistical framework for modeling heterogeneity and nonlinear relationships. In many modern applications, however, datasets are naturally distributed across multiple machines due to storage, computational, or governance constraints. We consider a distributed model aggregation setting in which local MoE models are trained independently on decentralized datasets and s","authors":["Chamroukhi, Faïcel","Pham, Nhat Thien"],"url":"https://arxiv.org/abs/2312.09877","arxiv_id":"2312.09877","published":"2026-03-12"},{"title":"Communication-Efficient Multimodal Federated Learning: Joint Modality and Client Selection","abstract":"Multimodal federated learning (MFL) aims to enrich model training in FL settings where clients are collecting measurements across multiple modalities. However, key challenges to MFL remain unaddressed, particularly in heterogeneous network settings where: (i) the set of modalities collected by each client is diverse, and (ii) communication limitations prevent clients from uploading all their locally trained modality ","authors":["Yuan, Liangqi","Han, Dong-Jun","Wang, Su","Upadhyay, Devesh","Brinton, Christopher G."],"url":"https://arxiv.org/abs/2401.16685","arxiv_id":"2401.16685","published":"2026-03-12"},{"title":"Personalizing explanations of AI-driven hints to users' characteristics: an empirical evaluation","abstract":"The paper extends an existing Intelligent Tutoring System (ITS) that supports students' learning via AI-driven personalized hints and can generate explanations to justify why/how the hints were generated. In this work, we investigate personalizing these hint explanations to students with low levels of two traits, Need for Cognition and Conscientiousness in order to enhance their engagement with the explanations, ","authors":["Bahel, Vedant","Sriram, Harshinee","Conati, Cristina"],"url":"https://arxiv.org/abs/2403.04035","arxiv_id":"2403.04035","published":"2026-03-12"},{"title":"Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment","abstract":"Structured pruning for large language models (LLMs) has garnered significant academic interest due to its ability to efficiently compress and accelerate LLMs by eliminating redundant weight groups at a coarse-grained granularity. Current structured pruning methods for LLMs typically depend on a singular granularity for assessing weight importance, resulting in notable performance degradation in downstream tasks. Intr","authors":["Liu, Jun","Kong, Zhenglun","Zhao, Pu","Yang, Changdi","Tang, Hao","Shen, Xuan"],"url":"https://arxiv.org/abs/2403.10799","arxiv_id":"2403.10799","published":"2026-03-12"},{"title":"Fast Fishing: Approximating BAIT for Efficient and Scalable Deep Active Image Classification","abstract":"Deep active learning (AL) seeks to minimize the annotation costs for training deep neural networks. BAIT, a recently proposed AL strategy based on the Fisher Information, has demonstrated impressive performance across various datasets. However, BAIT's high computational and memory requirements hinder its applicability on large-scale classification tasks, resulting in current research neglecting BAIT in their eval","authors":["Huseljic, Denis","Hahn, Paul","Herde, Marek","Rauch, Lukas","Sick, Bernhard"],"url":"https://arxiv.org/abs/2404.08981","arxiv_id":"2404.08981","published":"2026-03-12"},{"title":"Modelling Language using Large Language Models","abstract":"This paper argues that large language models have a valuable scientific role to play in serving as scientific models of public languages. Linguistic study should not only be concerned with the cognitive processes behind linguistic competence, but also with language understood as an external, social entity. Once this is recognized, the value of large language models as scientific models becomes clear. This paper defen","authors":["Grindrod, Jumbly"],"url":"https://arxiv.org/abs/2404.09579","arxiv_id":"2404.09579","published":"2026-03-12"},{"title":"Explainable machine learning for predicting shellfish toxicity in the Adriatic Sea using long-term monitoring data of HABs","abstract":"In this study, explainable machine learning techniques are applied to predict the toxicity of mussels in the Gulf of Trieste (Adriatic Sea) caused by harmful algal blooms. By analysing a newly created 28-year dataset containing records of toxic phytoplankton in mussel farming areas and toxin concentrations in mussels (Mytilus galloprovincialis), we train and evaluate the performance of ML models to accurately predict","authors":["Marzidovšek, Martin","Francé, Janja","Podpečan, Vid","Vadnjal, Stanka","Dolenc, Jožica","Mozetič, Patricija"],"url":"https://arxiv.org/abs/2405.04372","arxiv_id":"2405.04372","published":"2026-03-12"},{"title":"Exploratory Optimal Stopping: A Singular Control Formulation","abstract":"This paper explores continuous-time and state-space optimal stopping problems from a reinforcement learning perspective. We begin by formulating the stopping problem using randomized stopping times, where the decision maker's control is represented by the probability of stopping within a given time-specifically, a bounded, non-decreasing, càdlàg control process. To encourage exploration and facilitate learning, w","authors":["Dianetti, Jodi","Ferrari, Giorgio","Xu, Renyuan"],"url":"https://arxiv.org/abs/2408.09335","arxiv_id":"2408.09335","published":"2026-03-12"}],"history":{"events":[{"year":2014,"text":"A gas leak caused an explosion in East Harlem, New York City, destroying two apartment buildings and causing eight deaths.","url":"https://en.wikipedia.org/wiki/2014_East_Harlem_gas_explosion"},{"year":2006,"text":"U.S. Army soldiers gang-raped a 14-year-old Iraqi girl and murdered her along with her family members.","url":"https://en.wikipedia.org/wiki/Mahmudiyah_rape_and_murders"},{"year":1971,"text":"The Turkish Armed Forces executed a \"coup by memorandum\", forcing the resignation of Prime Minister Süleyman Demirel (pictured).","url":"https://en.wikipedia.org/wiki/Turkish_Armed_Forces"},{"year":1967,"text":"General Suharto (pictured) seized power from President Sukarno when the Provisional People's Consultative Assembly sworn him in as acting president of Indonesia.","url":"https://en.wikipedia.org/wiki/Suharto"},{"year":1952,"text":"British diplomat Lord Ismay was appointed the first secretary general of NATO.","url":"https://en.wikipedia.org/wiki/Hastings_Ismay%2C_1st_Baron_Ismay"},{"year":1947,"text":"Cold War: U.S. president Harry S. Truman proclaimed the Truman Doctrine to help stem the spread of communism.","url":"https://en.wikipedia.org/wiki/Cold_War"},{"year":1940,"text":"The Moscow Peace Treaty was signed, ending the Winter War between Finland and the Soviet Union.","url":"https://en.wikipedia.org/wiki/Moscow_Peace_Treaty"},{"year":1934,"text":"Supported by the Estonian army, Konstantin Päts staged a coup d'état, beginning the Era of Silence.","url":"https://en.wikipedia.org/wiki/Konstantin_P%C3%A4ts"},{"year":1930,"text":"Mahatma Gandhi began the Salt March (pictured), a 24-day nonviolent walk to defy the British salt tax in colonial India.","url":"https://en.wikipedia.org/wiki/Mahatma_Gandhi"},{"year":1928,"text":"The failure of the St. Francis Dam (pictured) northwest of Los Angeles resulted in a flood that killed 400 people.","url":"https://en.wikipedia.org/wiki/St._Francis_Dam"},{"year":1913,"text":"At a ceremony at Kurrajong Hill, Lady Denman, wife of the governor-general Lord Denman, announced that the future capital of Australia would be called Canberra.","url":"https://en.wikipedia.org/wiki/Capital_Hill%2C_Australian_Capital_Territory"},{"year":1881,"text":"Andrew Watson (pictured) captained the Scotland national football team against England, becoming the world's first black international footballer.","url":"https://en.wikipedia.org/wiki/Andrew_Watson_(footballer%2C_born_1856)"},{"year":1622,"text":"Ignatius of Loyola and Francis Xavier, founders of the Jesuits, were canonized by Pope Gregory XV.","url":"https://en.wikipedia.org/wiki/Ignatius_of_Loyola"},{"year":1537,"text":"Croatian–Ottoman wars: After the execution of feudal lord Petar Kružić, Croatian forces at Klis surrendered to the Ottoman forces in exchange for their safe passage to northern locations.","url":"https://en.wikipedia.org/wiki/Croatian%E2%80%93Ottoman_wars"},{"year":1088,"text":"Odo of Châtillon was elected as the 159th pope of the Catholic Church.","url":"https://en.wikipedia.org/wiki/Pope_Urban_II"},{"year":538,"text":"The Gothic king Vitiges ended his year-long siege of Rome, which was defended by the Byzantine general Belisarius","url":"https://en.wikipedia.org/wiki/Ostrogoths"}],"births":[{"year":2008,"text":"Emma Kok, Dutch singer","url":"https://en.wikipedia.org/wiki/Emma_Kok"},{"year":2004,"text":"DannyLux, American singer-songwriter","url":"https://en.wikipedia.org/wiki/DannyLux"},{"year":2003,"text":"Andrea Brillantes, Filipino actress and model","url":"https://en.wikipedia.org/wiki/Andrea_Brillantes"},{"year":2003,"text":"Malina Weissman, American actress and model","url":"https://en.wikipedia.org/wiki/Malina_Weissman"},{"year":2001,"text":"Max Duggan, American football player","url":"https://en.wikipedia.org/wiki/Max_Duggan"},{"year":2001,"text":"Kim Min-kyu, South Korean singer and actor","url":"https://en.wikipedia.org/wiki/Kim_Min-kyu_(entertainer)"},{"year":1998,"text":"Carsen Edwards, American basketball player","url":"https://en.wikipedia.org/wiki/Carsen_Edwards"},{"year":1998,"text":"Mecole Hardman, American football player","url":"https://en.wikipedia.org/wiki/Mecole_Hardman"}],"deaths":[{"year":2022,"text":"Gertraud Gruber, German beautician and businesswoman (born 1921)","url":"https://en.wikipedia.org/wiki/Gertraud_Gruber"},{"year":2021,"text":"Ronald DeFeo Jr., American criminal (born 1951)","url":"https://en.wikipedia.org/wiki/Amityville_murders"},{"year":2016,"text":"Rafiq Azad, Bangladeshi poet and author (born 1942)","url":"https://en.wikipedia.org/wiki/Rafiq_Azad"},{"year":2016,"text":"Felix Ibru, Nigerian architect and politician, Governor of Delta State (born 1935)","url":"https://en.wikipedia.org/wiki/Felix_Ibru"},{"year":2016,"text":"Lloyd Shapley, American mathematician and economist, Nobel Prize laureate (born 1923)","url":"https://en.wikipedia.org/wiki/Lloyd_Shapley"},{"year":2015,"text":"Willie Barrow, American minister and activist (born 1924)","url":"https://en.wikipedia.org/wiki/Willie_Barrow"},{"year":2015,"text":"Michael Graves, American architect and academic, designed the Portland Building and the Humana Building (born 1934)","url":"https://en.wikipedia.org/wiki/Michael_Graves"},{"year":2015,"text":"Ada Jafri, Pakistani poet and author (born 1924)","url":"https://en.wikipedia.org/wiki/Ada_Jafri"}]},"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."}