{"date":"2026-07-21","schema_version":1,"captured_at":"2026-08-25T23:16:54.701Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":18},"attention":[{"title":"Lamine Yamal","views":1205902,"rank":3,"extract":"Lamine Yamal Nasraoui Ebana, commonly known as Lamine Yamal, is a Spanish professional footballer who plays as a right winger for the La Liga club Barcelona and the Spain national team. 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Our main contribution is a direct method for solving the neural-network equation $S[γ]=f$. Starting from the Fourier expression of the synthesis operator, separation of variables produces a ridgelet particular solution and identifies every homogeneous direction. To isolate the argument, we first prove an abstract reconstru","authors":["Sonoda, Sho","Ishikawa, Isao","Ikeda, Masahiro"],"url":"https://arxiv.org/abs/2106.04770","arxiv_id":"2106.04770","published":"2026-07-21"},{"title":"Automated Reinforcement Learning: An Overview","abstract":"Reinforcement Learning and, recently, Deep Reinforcement Learning are popular methods for solving sequential decision-making problems modeled as Markov Decision Processes. RL modeling of a problem and selecting algorithms and hyper-parameters require careful consideration, as different configurations may entail completely different performances. These considerations are mainly the task of RL experts; however, RL is p","authors":["Afshar, Reza Refaei","Vanschoren, Joaquin","Kaymak, Uzay","Zhang, Rui","Wu, Yaoxin","Song, Wen"],"url":"https://arxiv.org/abs/2201.05000","arxiv_id":"2201.05000","published":"2026-07-21"},{"title":"Nonconvex Matrix Factorization is Geodesically Convex: Global Landscape Analysis for Fixed-rank Matrix Optimization From a Riemannian Perspective","abstract":"We study a general matrix optimization problem with a fixed-rank positive semidefinite (PSD) constraint. We perform the Burer-Monteiro factorization and consider a particular Riemannian quotient geometry in a search space that has a total space equipped with the Euclidean metric. When the original objective f satisfies standard restricted strong convexity and smoothness properties, we characterize the global landscap","authors":["Luo, Yuetian","Trillos, Nicolas Garcia"],"url":"https://arxiv.org/abs/2209.15130","arxiv_id":"2209.15130","published":"2026-07-21"},{"title":"Fourier-Mixed Window Attention: Accelerating Informer for Long Sequence Time-Series Forecasting","abstract":"We study a fast local-global window-based attention method to accelerate Informer for long sequence time-series forecasting. While window attention being local is a considerable computational saving, it lacks the ability to capture global token information which is compensated by a subsequent Fourier transform block. Our method, named FWin, does not rely on query sparsity hypothesis and an empirical approximation und","authors":["Tran, Nhat Thanh","Xin, Jack"],"url":"https://arxiv.org/abs/2307.00493","arxiv_id":"2307.00493","published":"2026-07-21"},{"title":"Gradient-Free Privacy Leakage in Federated Language Models through Selective Weight Tampering","abstract":"Federated learning (FL) has become a key component in various language modeling applications such as machine translation, next-word prediction, and medical record analysis. These applications are trained on datasets from many FL participants that often include privacy-sensitive data, such as healthcare records, phone/credit card numbers, login credentials, etc. Although FL enables computation without necessitating cl","authors":["Rashid, Md Rafi Ur","Dasu, Vishnu Asutosh","Gu, Kang","Sultana, Najrin","Mehnaz, Shagufta"],"url":"https://arxiv.org/abs/2310.16152","arxiv_id":"2310.16152","published":"2026-07-21"},{"title":"CarbonNet: How Computer Vision Plays a Role in Climate Change? Application: Learning Geomechanics from Subsurface Geometry of CCS to Mitigate Global Warming","abstract":"We introduce a new approach using computer vision to predict the land surface displacement from subsurface geometry images for Carbon Capture and Sequestration (CCS). CCS has been proved to be a key component for a carbon neutral society. However, scientists see there are challenges along the way including the high computational cost due to the large model scale and limitations to generalize a pre-trained model with ","authors":["Chen, Wei","Li, Yunan","Tian, Yuan"],"url":"https://arxiv.org/abs/2403.06025","arxiv_id":"2403.06025","published":"2026-07-21"},{"title":"Prompt-Guided Foundation Model Tuning for Pathology Image Classification","abstract":"Foundation models have become pivotal in advancing computational pathology, particularly for whole slide image (WSI) classification. However, prevailing methodologies often rely on frozen, pre-trained models for feature extraction, overlooking the pronounced domain shift and task discrepancy between the pre-training and downstream tasks. To address this challenge, we propose PAMT, a novel Prompt-guided Adaptive Model","authors":["Lin, Yi","Zhu, Zhengjie","Cheng, Kwang-Ting","Chen, Hao"],"url":"https://arxiv.org/abs/2403.12537","arxiv_id":"2403.12537","published":"2026-07-21"},{"title":"Octopus: On-device language model for function calling of software APIs","abstract":"In the rapidly evolving domain of artificial intelligence, Large Language Models (LLMs) play a crucial role due to their advanced text processing and generation abilities. This study introduces a new strategy aimed at harnessing on-device LLMs in invoking software APIs. We meticulously compile a dataset derived from software API documentation and apply fine-tuning to LLMs with capacities of 2B, 3B and 7B parameters, ","authors":["Chen, Wei","Li, Zhiyuan","Ma, Mingyuan"],"url":"https://arxiv.org/abs/2404.01549","arxiv_id":"2404.01549","published":"2026-07-21"},{"title":"Octopus v2: On-device language model for super agent","abstract":"Language models have shown effectiveness in a variety of software applications, particularly in tasks related to automatic workflow. These models possess the crucial ability to call functions, which is essential in creating AI agents. Despite the high performance of large-scale language models in cloud environments, they are often associated with concerns over privacy and cost. Current on-device models for function c","authors":["Chen, Wei","Li, Zhiyuan"],"url":"https://arxiv.org/abs/2404.01744","arxiv_id":"2404.01744","published":"2026-07-21"},{"title":"Octopus v3: Technical Report for On-device Sub-billion Multimodal AI Agent","abstract":"A multimodal AI agent is characterized by its ability to process and learn from various types of data, including natural language, visual, and audio inputs, to inform its actions. Despite advancements in large language models that incorporate visual data, such as GPT-4V, effectively translating image-based data into actionable outcomes for AI agents continues to be challenging. In this paper, we introduce a multimoda","authors":["Chen, Wei","Li, Zhiyuan"],"url":"https://arxiv.org/abs/2404.11459","arxiv_id":"2404.11459","published":"2026-07-21"},{"title":"Octopus v4: Graph of language models","abstract":"Language models have been effective in a wide range of applications, yet the most sophisticated models are often proprietary. For example, GPT-4 by OpenAI and various models by Anthropic are expensive and consume substantial energy. In contrast, the open-source community has produced competitive models, like Llama3. Furthermore, niche-specific smaller language models, such as those tailored for legal, medical or fina","authors":["Chen, Wei","Li, Zhiyuan"],"url":"https://arxiv.org/abs/2404.19296","arxiv_id":"2404.19296","published":"2026-07-21"},{"title":"Unsupervised Multimodal Clustering for Semantics Discovery in Multimodal Utterances","abstract":"Discovering the semantics of multimodal utterances is essential for understanding human language and enhancing human-machine interactions. Existing methods manifest limitations in leveraging nonverbal information for discerning complex semantics in unsupervised scenarios. This paper introduces a novel unsupervised multimodal clustering method (UMC), making a pioneering contribution to this field. UMC introduces a uni","authors":["Zhang, Hanlei","Xu, Hua","Long, Fei","Wang, Xin","Gao, Kai"],"url":"https://arxiv.org/abs/2405.12775","arxiv_id":"2405.12775","published":"2026-07-21"},{"title":"Posts of Peril: Detecting Information About Hazards in Text","abstract":"Socio-linguistic indicators of affectively-relevant phenomena, such as emotion or sentiment, are often extracted from text to better understand features of human-computer interactions, including on social media. However, an indicator that is often overlooked is the presence or absence of information concerning harms or hazards. Detecting such indicators in text is important because substantial research demonstrates t","authors":["Burghardt, Keith","Fessler, Daniel M. T.","Tang, Chyna","Pisor, Anne","Lerman, Kristina"],"url":"https://arxiv.org/abs/2405.17838","arxiv_id":"2405.17838","published":"2026-07-21"},{"title":"Octo-planner: On-device Language Model for Planner-Action Agents","abstract":"AI agents have become increasingly significant in various domains, enabling autonomous decision-making and problem-solving. To function effectively, these agents require a planning process that determines the best course of action and then executes the planned actions. In this paper, we present an efficient on-device Planner-Action framework that separates planning and action execution into two distinct components: a","authors":["Chen, Wei","Li, Zhiyuan","Guo, Zhen","Shen, Yikang"],"url":"https://arxiv.org/abs/2406.18082","arxiv_id":"2406.18082","published":"2026-07-21"},{"title":"Regret Optimality of Sample Average Approximation for Data-Driven Newsvendor Problems: A General Optimization Perspective","abstract":"Numerous existing studies have examined the performance of Sample Average Approximation (SAA) in the fundamental newsvendor problem. Despite these advances, critical gaps remain in two aspects. First, existing works focus on the linear-cost newsvendor problem and heavily rely on the quantile expression of the optimal solution. As a result, their analytical methods limit generalizability to more general inventory prob","authors":["Lyu, Jiameng","Yuan, Shilin","Zhou, Bingkun","Zhou, Yuan"],"url":"https://arxiv.org/abs/2407.04900","arxiv_id":"2407.04900","published":"2026-07-21"},{"title":"Fairness-Aware Multi-Group Target Detection in Online Discussion","abstract":"Target-group detection is the task of detecting which group(s) a piece of content is ``directed at or about''. Applications include targeted marketing, content recommendation, and group-specific content assessment. Key challenges include: 1) that a single post may target multiple groups; and 2) ensuring consistent detection accuracy across groups for fairness. In this work, we investigate fairness implication","authors":["Gupta, Soumyajit","De-Arteaga, Maria","Lease, Matthew"],"url":"https://arxiv.org/abs/2407.11933","arxiv_id":"2407.11933","published":"2026-07-21"},{"title":"PriPHiT: Privacy-Preserving Hierarchical Training of Deep Neural Networks","abstract":"The training phase of deep neural networks requires substantial resources and as such is often performed on cloud servers. However, this raises privacy concerns when the training dataset contains sensitive content, e.g., facial or medical images. In this work, we propose a method to perform the training phase of a deep learning model on both an edge device and a cloud server that prevents sensitive content being tran","authors":["Sepehri, Yamin","Pad, Pedram","Frossard, Pascal","Dunbar, L. Andrea"],"url":"https://arxiv.org/abs/2408.05092","arxiv_id":"2408.05092","published":"2026-07-21"},{"title":"Online-Score-Aided Federated Learning for Resource-Constrained Wireless Clients with Continual Data Arrival","abstract":"Heterogeneous system configurations of distributed clients connected to the central server (CS) via a time-varying wireless network pose significant challenges for popular distributed machine learning (ML) algorithms such as federated learning (FL). Although the limited (radio and computational) resources are widely acknowledged, two critical yet often ignored aspects are (a) client devices can only dedicate a small ","authors":["Pervej, Ferdous","Choi, Minseok","Molisch, Andreas F."],"url":"https://arxiv.org/abs/2408.05886","arxiv_id":"2408.05886","published":"2026-07-21"},{"title":"PMSN: A Parallel Multi-compartment Spiking Neuron for Multi-scale Temporal Processing","abstract":"Spiking Neural Networks (SNNs) hold great potential to realize brain-inspired, energy-efficient computational systems. However, current SNNs still fall short in terms of multiscale temporal processing compared to their biological counterparts. This limitation has resulted in poor performance in many pattern recognition tasks with information that varies across different timescales. To address this issue, we put forwa","authors":["Chen, Xinyi","Wu, Jibin","Ma, Chenxiang","Yan, Yinsong","Liu, Hanwen","Wu, Yujie"],"url":"https://arxiv.org/abs/2408.14917","arxiv_id":"2408.14917","published":"2026-07-21"},{"title":"Squid: Long Context as a New Modality for Energy-Efficient On-Device Language Models","abstract":"This paper presents Dolphin, a novel decoder-decoder architecture for energy-efficient processing of long contexts in language models. Our approach addresses the significant energy consumption and latency challenges inherent in on-device models. Dolphin employs a compact 0.5B parameter decoder to distill extensive contextual information into a memory embedding, substantially reducing the input length for the primary ","authors":["Chen, Wei","Li, Zhiyuan","Xin, Shuo","Wang, Yihao"],"url":"https://arxiv.org/abs/2408.15518","arxiv_id":"2408.15518","published":"2026-07-21"},{"title":"Bundle Adjustment in the Eager Mode","abstract":"Bundle adjustment (BA) is a critical technique in various robotic applications such as simultaneous localization and mapping (SLAM), augmented reality (AR), and photogrammetry. BA optimizes parameters such as camera poses and 3D landmarks to align them with observations. With the growing importance of deep learning in perception systems, there is an increasing need to integrate BA with deep learning frameworks for en","authors":["Zhan, Zitong","Xu, Huan","Fang, Zihang","Wei, Xinpeng","Hu, Yaoyu","Wang, Chen"],"url":"https://arxiv.org/abs/2409.12190","arxiv_id":"2409.12190","published":"2026-07-21"},{"title":"Gradient Span Algorithms Make Predictable Progress in High Dimension","abstract":"We prove that all 'gradient span algorithms' have asymptotically deterministic behavior on scaled Gaussian random functions as the dimension tends to infinity. This is a functional generalization of similar results for random quadratic functions and spin glasses. They explain the counterintuitive phenomenon that different training runs of many large machine learning models result in approximately equal cost c","authors":["Benning, Felix","Döring, Leif"],"url":"https://arxiv.org/abs/2410.09973","arxiv_id":"2410.09973","published":"2026-07-21"},{"title":"Online path planning for kinematic-constrained UAVs in a dynamic environment based on a Differential Evolution algorithm","abstract":"This research presents an online path planner for Unmanned Aerial Vehicles (UAVs) that can handle dynamic obstacles and UAV motion constraints, including maximum curvature and desired orientations. Our proposed planner uses a NURBS path representation and a Differential Evolution algorithm, incorporating concepts from the Velocity Obstacle approach in a constraint function. Initial results show that our approach is f","authors":["Freitas, Elias J. R.","Cohen, Miri Weiss","Guimarães, Frederico G.","Pimenta, Luciano C. A."],"url":"https://arxiv.org/abs/2410.18777","arxiv_id":"2410.18777","published":"2026-07-21"},{"title":"Distributed solar generation forecasting using attention-based deep neural networks for cloud movement prediction","abstract":"Accurate forecasts of distributed solar generation are necessary to maintain grid stability amid the increased uptake of distributed solar photovoltaic (PV) systems. However, the high variability of solar generation over short time intervals (seconds to minutes) caused by cloud movement makes this forecasting task difficult. To address this, using cloud images, which capture the second-to-second changes in cloud cove","authors":["Perera, Maneesha","De Hoog, Julian","Bandara, Kasun","Weeratunge, Hansani","Halgamuge, Saman"],"url":"https://arxiv.org/abs/2411.10921","arxiv_id":"2411.10921","published":"2026-07-21"},{"title":"A Benchmark of Generative Methods for Zero-Shot Environmental Sound Classification","abstract":"Zero-shot learning enables models to generalise to unseen classes using semantic information, bridging the gap between training classes and previously unseen test classes. While widely studied in computer vision, its application to environmental audio remains underexplored, and generative approaches have received little attention. This work presents the first benchmark of generative methods for zero-shot environmenta","authors":["Sims, Ysobel","Mendes, Alexandre","Chalup, Stephan"],"url":"https://arxiv.org/abs/2412.03771","arxiv_id":"2412.03771","published":"2026-07-21"}],"history":{"events":[{"year":2019,"text":"People returning from anti–extradition bill protests in Hong Kong were attacked (pictured) by suspected triad members in Yuen Long, leaving 45 people injured.","url":"https://en.wikipedia.org/wiki/2019%E2%80%932020_Hong_Kong_protests"},{"year":2013,"text":"Nour Ahmad Nikbakht, an Iranian diplomat in Yemen, was kidnapped by al-Qaeda militants and held hostage for the next two years.","url":"https://en.wikipedia.org/wiki/2013_Iranian_diplomat_kidnapping"},{"year":2007,"text":"Harry Potter and the Deathly Hallows, the final book in the popular Harry Potter series by J. K. Rowling, was released and sold 15 million copies in its first 24 hours, making it the fastest-selling book in history.","url":"https://en.wikipedia.org/wiki/Harry_Potter_and_the_Deathly_Hallows"},{"year":1990,"text":"The Taiwanese military ordered the deportation of dozens of illegal immigrants from mainland China in sealed boat holds, causing 25 deaths due to suffocation.","url":"https://en.wikipedia.org/wiki/Republic_of_China_Armed_Forces"},{"year":1977,"text":"Libyan forces carried out a raid at Sallum, sparking a four-day war with Egypt.","url":"https://en.wikipedia.org/wiki/Sallum"},{"year":1972,"text":"The Troubles: The Provisional Irish Republican Army detonated twenty-two bombs throughout Belfast, Northern Ireland.","url":"https://en.wikipedia.org/wiki/The_Troubles"},{"year":1960,"text":"Sirimavo Bandaranaike (pictured) was sworn in as prime minister of Ceylon, becoming the world's first democratically elected female head of government.","url":"https://en.wikipedia.org/wiki/Sirimavo_Bandaranaike"},{"year":1959,"text":"The inaugural International Mathematical Olympiad, the leading mathematical competition for pre-university students, began in Romania.","url":"https://en.wikipedia.org/wiki/International_Mathematical_Olympiad"},{"year":1952,"text":"An earthquake registering 7.3 Mw struck the southern San Joaquin Valley in California, causing 12 deaths and an estimated $60 million in property damage.","url":"https://en.wikipedia.org/wiki/1952_Kern_County_earthquake"},{"year":1946,"text":"After weeks of unrest, rioters lynched Bolivian president Gualberto Villarroel, desecrating and hanging his corpse in the streets of La Paz.","url":"https://en.wikipedia.org/wiki/1946_La_Paz_riots"},{"year":1925,"text":"American high-school biology teacher John T. Scopes was found guilty of violating Tennessee's Butler Act which forbade teaching evolution in class.","url":"https://en.wikipedia.org/wiki/John_T._Scopes"},{"year":1918,"text":"World War I: An Imperial German Navy U-boat opened fire on a small convoy of barges and defending aircraft near the American town of Orleans, Massachusetts.","url":"https://en.wikipedia.org/wiki/World_War_I"},{"year":1877,"text":"Much of central Pittsburgh, Pennsylvania, was burned and looted during the Great Railroad Strike of 1877.","url":"https://en.wikipedia.org/wiki/Pittsburgh"},{"year":1378,"text":"Unrepresented labourers revolted and violently took over the government of the Republic of Florence (depicted), demanding that they be granted political office.","url":"https://en.wikipedia.org/wiki/Ciompi_Revolt"},{"year":905,"text":"Louis III, Holy Roman Emperor, was captured and blinded during his attempt to restore Carolingian power over Italy by King Berengar I.","url":"https://en.wikipedia.org/wiki/Louis_the_Blind"},{"year":625,"text":"Paulinus was consecrated as the first bishop of York by Justus, the archbishop of Canterbury.","url":"https://en.wikipedia.org/wiki/Paulinus_of_York"},{"year":365,"text":"A large earthquake occurred near Crete, triggering a tsunami, and causing widespread destruction around the eastern Mediterranean region.","url":"https://en.wikipedia.org/wiki/AD_365"},{"year":230,"text":"Pope Pontian began his pontificate, succeeding Urban I.","url":"https://en.wikipedia.org/wiki/Pope_Pontian"}],"births":[{"year":2006,"text":"Endrick, Brazilian footballer","url":"https://en.wikipedia.org/wiki/Endrick"},{"year":2005,"text":"Bub Carrington, American basketball player","url":"https://en.wikipedia.org/wiki/Bub_Carrington"},{"year":2000,"text":"Erling Haaland, Norwegian footballer","url":"https://en.wikipedia.org/wiki/Erling_Haaland"},{"year":2000,"text":"Lia, South Korean singer","url":"https://en.wikipedia.org/wiki/Lia_(South_Korean_singer)"},{"year":1999,"text":"Evan McPherson, American football player","url":"https://en.wikipedia.org/wiki/Evan_McPherson"},{"year":1998,"text":"Maggie Lindemann, American singer-songwriter.","url":"https://en.wikipedia.org/wiki/Maggie_Lindemann"},{"year":1998,"text":"Marie Bouzkova, Czech tennis player","url":"https://en.wikipedia.org/wiki/Marie_Bouzkov%C3%A1"},{"year":1996,"text":"Mikael Ingebrigtsen, Norwegian footballer","url":"https://en.wikipedia.org/wiki/Mikael_Ingebrigtsen"}],"deaths":[{"year":2025,"text":"Pau Alsina, Spanish motorcycle rider (born 2008)","url":"https://en.wikipedia.org/wiki/Pau_Alsina"},{"year":2023,"text":"Tony Bennett, American singer (born 1926)","url":"https://en.wikipedia.org/wiki/Tony_Bennett"},{"year":2020,"text":"Annie Ross, Scottish-American singer and actress (born 1930)","url":"https://en.wikipedia.org/wiki/Annie_Ross"},{"year":2020,"text":"Andrew Mlangeni, South African political activist (born 1925)","url":"https://en.wikipedia.org/wiki/Andrew_Mlangeni"},{"year":2018,"text":"Alene Duerk, U.S. Navy first female admiral (born 1920)","url":"https://en.wikipedia.org/wiki/Alene_Duerk"},{"year":2017,"text":"John Heard, American film and television actor (born 1946)","url":"https://en.wikipedia.org/wiki/John_Heard_(actor)"},{"year":2016,"text":"Dennis Green, American football player and coach (born 1949)","url":"https://en.wikipedia.org/wiki/Dennis_Green"},{"year":2015,"text":"Robert Broberg, Swedish singer-songwriter (born 1940)","url":"https://en.wikipedia.org/wiki/Robert_Broberg"}]},"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."}