AI 驱动科学发现 · 全部实体（第 97 / 100 页）

本页收录第 9601–9700 条，共 10000 条 · 返回 AI 驱动科学发现 首页

• Sensitizing Self-Assembly of Peptide-Drug Conjugates via Chiral Engineering to Evoke Tumor Ferroptosis.
  Spatiotemporal control over supramolecular assemblies holds promise for precise theranostics, yet conventional designs often require an extensive modification of the backbone by introducing responsive motifs. Herein, with minimal interference of the molecular …
  pubmed Ye J, Zhou Y, Fu W, Qiao R 等 2026 Aug 5 置信度 0.82
• Targeting kidney disease in type 1 diabetes: progress and promise.
  Chronic kidney disease (CKD) affects ~30-40% of people living with type-1 diabetes (T1D) and remains a major driver of cardiovascular morbidity, kidney-failure, and premature mortality. Despite advances in diabetes-technologies, kidney-protective pharmacothera…
  pubmed Muskiet MHA, Cherney DZI 2026 Aug 5 置信度 0.82
• A decoupled alignment kernel for peptide membrane permeability predictions.
  Cyclic peptides are promising modalities for targeting intracellular sites; however, cell-membrane permeability remains a key bottleneck, exacerbated by limited public data and the need for well-calibrated uncertainty. Instead of relying on data-eager complex …
  pubmed Amirahmadi A, Geylan G, De Maria L, Etminani F 等 2026 Aug 4 置信度 0.82
• Clifti-GPT: privacy-preserving federated fine-tuning and transferable inference of foundation models on clinical single-cell data.
  Foundation models have demonstrated immense value for scRNA-seq analysis, but their fine-tuning or inference on heterogeneous, privacy-sensitive clinical cohorts is governed by strict data protection policies, which often prohibit centralization. We introduce …
  pubmed Bakhtiari M, Elkjaer ML, Can AO, Theis F 等 2026 Aug 5 置信度 0.82
• Supplementation of αKG along with TGFβ/HIF1α antagonist rescues lung fibrosis in mice with severe SARS-CoV-2 infection.
  Pulmonary fibrosis and acute respiratory distress syndrome (ARDS) are the clinical challenges among patients with post-acute sequelae of COVID-19 (PASC), affecting ~ 10% of the survivors worldwide. PASC manifestations include pulmonary fibrosis, …
  pubmed Joshi G, Parveen G, Kaur S, Asuru TR 等 2026 Aug 5 置信度 0.82
• CXCL10 contributes to female-specific pathological progression in tauopathy model mice.
  Neuroinflammation plays a central role in the progression of tauopathy via the glial activation and T cell accumulation in the brain parenchyma. However, the key molecular mediators that link these processes to tau pathology remain poorly understood.Here, we i…
  pubmed Uenishi R, Kawata R, Manabe T, Matsuba Y 等 2026 Aug 5 置信度 0.82
• Dissecting corneal drug permeability under experimental variability and drug cold-start challenges via hybrid machine learning.
  Corneal drug permeability is a key determinant of topical ocular drug delivery efficiency, yet its quantitative prediction remains challenging due to experimental noise and limited generalizability across drugs. Herein, we systematically integrated ex vivo dru…
  pubmed Xu S, Wang N, Tao Y, Li C 等 2026 Aug 5 置信度 0.82
• Efficacy and safety of oliceridine versus sufentanil in perioperative anesthesia and analgesia: a systematic review and meta-analysis with trial sequential analysis.
  Perioperative pain management is a significant challenge when using conventional µ opioid agonists, which often require careful balancing of efficacy and safety. Oliceridine, a G-protein-biased µ-opioid receptor agonist, may provide comparable analge…
  pubmed Lateiresh M, Qatza A, Elkoury E, Elwafae THF 等 2026 Aug 6 置信度 0.82
• Hippocampal CA3 connectomics reveals a gradient of mossy fiber inputs and selective feedforward inhibition onto pyramidal cells.
  The mossy fiber (MF) connections to pyramidal cells in hippocampal CA3 are thought to participate in pattern separation, pattern completion and memory encoding, yet no large-scale neuronal wiring diagram exists for these connections. We assembled a 3D electron…
  pubmed Zheng Z, Park C, Hammerschmith EW, Lu R 等 2026 Aug 5 置信度 0.82
• Albumin-Anchored Thromboinflammatory Ratios Provide Modest Incremental Prognostic Value Beyond Clinical Severity Scores in Aneurysmal Subarachnoid Hemorrhage: A Retrospective Study.
  Aneurysmal subarachnoid hemorrhage (aSAH) remains associated with substantial mortality and functional disability despite advances in neurosurgical and intensive care management. Systemic inflammation and thromboinflammatory activation play key roles in early …
  pubmed Aykanat O, Sezer A, Duzenli Y, Bayrak L 2026 Aug 5 置信度 0.82
• Correction: Prevalence of AI-Supported Sexual Activities Among Adults in Germany: Results from a National Online Survey.
  pubmed Döring N, Mikhailova V, Mohseni MR 2026 Aug 5 置信度 0.82
• Neuroinflammation as molecular landscape of post-operative delirium revealed by live human brain multi-omics profiling.
  Post-operative delirium (POD) is a serious complication of surgery particularly in older adults, characterized by acute disturbances in consciousness and cognition and associated with increased mortality and long-term cognitive impairment. Despite its clinical…
  pubmed Ishii T, Wang T, Shibata K, Nishitani S 等 2026 Aug 5 置信度 0.82
• Integrating clinically actionable biomarkers into bladder cancer care - recommendations from the International Bladder Cancer Group.
  Crucial unmet needs for standardization and clinical integration of actionable biomarkers persist across the bladder cancer disease spectrum. To address these gaps, the International Bladder Cancer Group (IBCG) convened a global multidisciplinary panel to deve…
  pubmed Hensley PJ, Teoh JYC, Li R, Gupta S 等 2026 Aug 5 置信度 0.82
• The role of genetic variation in apolipoprotein response to diet among Brazilians with cardiovascular disease.
  Data on the interaction between dietary patterns, single nucleotide polymorphisms (SNPs), and cardiometabolic markers remain limited in genetically admixed populations, particularly among individuals with established cardiovascular disease (CVD). This study ai…
  pubmed Bersch-Ferreira AC, Santos RHN, Rogero MM, Machado RHV 等 2026 Aug 5 置信度 0.82
• Genomic surveillance reveals co-occurrence of Plasmodium falciparum drug resistance variants across diverse transmission settings in Ethiopia.
  The emergence of antimalarial drug resistance threatens malaria control and elimination efforts in Africa. Ethiopia, once a success story in case reduction, is now experiencing a resurgence. Here we examine key drug resistance genes (Pfmdr1, Pfcrt, Pfk13, Pfdh…
  pubmed Letebo A, Vanheer LN, Engdaw M, Ejigu LA 等 2026 Aug 5 置信度 0.82
• ZFP36L2 orchestrates stress-adaptive plasticity in regeneration and cancer.
  Phenotypic plasticity is a hallmark of cancer 1 ; however the molecular switches required for cell-fate reprogramming are poorly understood. During intestinal wound-healing and colorectal cancer (CRC) metastasis, differentiated cells can dynamically dedifferen…
  pubmed Jiang Q, Raghavan MS, Rodriguez AM, Lallo M 等 2026 Aug 5 置信度 0.82
• Virus reactivation in acute and long COVID-19.
  Chronic viral infections are ubiquitous in humans, with individuals carrying multiple viruses that can reactivate during physiological stress, including severe illness 1 . Notably, SARS-CoV-2 infection has been shown to reactivate chronic viruses such as …
  pubmed Maguire C, Chen J, Rouphael N, Morse BA 等 2026 Aug 5 置信度 0.82
• Faith in AI can narrow the futures individuals consider
  Artificial intelligence (AI) predictions are increasingly used to inform human decisions. Here, using a behavioral implementation of the classic Newcomb's paradox in 1,305 participants, we show that AI predictions can also shape the reasoning people use to mak…
  arxiv Aoi Naito, Hirokazu Shirado 2026-03-30T19:36:10Z 置信度 0.78 cs.HC
• Exploring utilization of generative AI for research and education in data-driven materials science
  Generative AI has recently had a profound impact on various fields, including daily life, research, and education. To explore its efficient utilization in data-driven materials science, we organized a hackathon -- AIMHack2024 -- in July 2024. In this hackathon…
  arxiv Takahiro Misawa, Ai Koizumi, Ryo Tamura, Kazuyoshi Yoshimi 2025-04-09T11:15:21Z 置信度 0.78 cs.CYcs.AIcs.LGphysics.ed-ph
• Foundations of GenIR
  The chapter discusses the foundational impact of modern generative AI models on information access (IA) systems. In contrast to traditional AI, the large-scale training and superior data modeling of generative AI models enable them to produce high-quality, hum…
  arxiv Qingyao Ai, Jingtao Zhan, Yiqun Liu 2025-01-06T08:38:29Z 置信度 0.78 cs.IRcs.LG
• Pulsar Science with the SKA Observatory
  The large instantaneous sensitivity, a wide frequency coverage and flexible observation modes with large number of beams in the sky are the main features of the SKA observatory's two telescopes, the SKA-Low and the SKA-Mid, which are located on two different c…
  arxiv Bhal Chandra Joshi, Aris Karastergiou, Marta Burgay, The SKA pulsar science working group 2025-12-18T04:16:35Z 置信度 0.78 astro-ph.HEastro-ph.IM
• Large Synoptic Survey Telescope: Dark Energy Science Collaboration
  This white paper describes the LSST Dark Energy Science Collaboration (DESC), whose goal is the study of dark energy and related topics in fundamental physics with data from the Large Synoptic Survey Telescope (LSST). It provides an overview of dark energy sci…
  arxiv LSST Dark Energy Science Collaboration 2012-11-01T21:23:33Z 置信度 0.78 astro-ph.COhep-ex
• Competing Visions of Ethical AI: A Case Study of OpenAI
  Introduction. AI Ethics is framed distinctly across actors and stakeholder groups. We report results from a case study of OpenAI analysing ethical AI discourse. Method. Research addressed: How has OpenAI's public discourse leveraged 'ethics', 'safety', 'alignm…
  arxiv Melissa Wilfley, Mengting Ai, Madelyn Rose Sanfilippo 2026-01-23T07:26:45Z 置信度 0.78 cs.CY
• AI for Open Science: A Multi-Agent Perspective for Ethically Translating Data to Knowledge
  AI for Science (AI4Science), particularly in the form of self-driving labs, has the potential to sideline human involvement and hinder scientific discovery within the broader community. While prior research has focused on ensuring the responsible deployment of…
  arxiv Chase Yakaboski, Gregory Hyde, Clement Nyanhongo, Eugene Santos 2023-10-28T23:57:15Z 置信度 0.78 cs.AI
• Opportunities in AI/ML for the Rubin LSST Dark Energy Science Collaboration
  The Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST) will produce unprecedented volumes of heterogeneous astronomical data (images, catalogs, and alerts) that challenge traditional analysis pipelines. The LSST Dark Energy Science Collaboratio…
  arxiv LSST Dark Energy Science Collaboration, Eric Aubourg, Camille Avestruz, Matthew R. Becker 等 2026-01-20T18:46:42Z 置信度 0.78 astro-ph.IMastro-ph.COcs.AIcs.LGstat.ML
• GREX-PLUS Science Book
  GREX-PLUS (Galaxy Reionization EXplorer and PLanetary Universe Spectrometer) is a mission candidate for a JAXA's strategic L-class mission to be launched in the 2030s. Its primary sciences are two-fold: galaxy formation and evolution and planetary system forma…
  arxiv GREX-PLUS Science Team, :, Akio K. Inoue, Yuichi Harikane 等 2023-04-17T09:29:57Z 置信度 0.78 astro-ph.COastro-ph.EPastro-ph.GAastro-ph.IMastro-ph.SR
• Towards The Ultimate Brain: Exploring Scientific Discovery with ChatGPT AI
  This paper presents a novel approach to scientific discovery using an artificial intelligence (AI) environment known as ChatGPT, developed by OpenAI. This is the first paper entirely generated with outputs from ChatGPT. We demonstrate how ChatGPT can be instru…
  arxiv Gerardo Adesso 2023-07-08T09:59:22Z 置信度 0.78 cs.OH
• Science with the X-ray Imaging and Spectroscopy Mission (XRISM)
  This white paper was prepared by members of the XRISM Science Team for the benefit of the general astronomical community. This paper describes the capabilities of XRISM, offers a sampling of the many science topics that the mission will address, and discusses …
  arxiv XRISM Science Team 2020-03-10T20:42:55Z 置信度 0.78 astro-ph.HE
• Meaningful human control: actionable properties for AI system development
  How can humans remain in control of artificial intelligence (AI)-based systems designed to perform tasks autonomously? Such systems are increasingly ubiquitous, creating benefits - but also undesirable situations where moral responsibility for their actions ca…
  arxiv Luciano Cavalcante Siebert, Maria Luce Lupetti, Evgeni Aizenberg, Niek Beckers 等 2021-11-25T11:05:37Z 置信度 0.78 cs.CYcs.AI
• Need of AI in Modern Education: in the Eyes of Explainable AI (xAI)
  Modern Education is not \textit{Modern} without AI. However, AI's complex nature makes understanding and fixing problems challenging. Research worldwide shows that a parent's income greatly influences a child's education. This led us to explore how AI, especia…
  arxiv Supriya Manna, Niladri Sett 2024-07-31T08:11:33Z 置信度 0.78 cs.AI
• Beyond principlism: Practical strategies for ethical AI use in research practices
  The rapid adoption of generative artificial intelligence (AI) in scientific research, particularly large language models (LLMs), has outpaced the development of ethical guidelines, leading to a "Triple-Too" problem: too many high-level ethical initiatives, too…
  arxiv Zhicheng Lin 2024-01-27T03:53:25Z 置信度 0.78 cs.CYcs.AI
• The Quest for Reliable Metrics of Responsible AI
  The development of Artificial Intelligence (AI), including AI in Science (AIS), should be done following the principles of responsible AI. Progress in responsible AI is often quantified through evaluation metrics, yet there has been less work on assessing the …
  arxiv Theresia Veronika Rampisela, Maria Maistro, Tuukka Ruotsalo, Christina Lioma 2025-10-29T22:35:34Z 置信度 0.78 cs.CYcs.AIcs.IRcs.LG
• DeBiasMe: De-biasing Human-AI Interactions with Metacognitive AIED (AI in Education) Interventions
  While generative artificial intelligence (Gen AI) increasingly transforms academic environments, a critical gap exists in understanding and mitigating human biases in AI interactions, such as anchoring and confirmation bias. This position paper advocates for m…
  arxiv Chaeyeon Lim 2025-04-23T14:41:31Z 置信度 0.78 cs.HC
• The New Shape of Search: How Conversational AI Recomposes Information Seeking
  The familiar search journey begins with a query and moves outward into documents, while conversational AI is commonly imagined at its start: ask first, then click out. Linking captured prompts and responses to the same panelists' observed searches and pageview…
  arxiv Michael Iannelli, Alan Ai 2026-07-05T12:48:17Z 置信度 0.78 cs.HCcs.CYcs.IR
• Expansive Participatory AI: Supporting Dreaming within Inequitable Institutions
  Participatory Artificial Intelligence (PAI) has recently gained interest by researchers as means to inform the design of technology through collective's lived experience. PAI has a greater promise than that of providing useful input to developers, it can contr…
  arxiv Michael Alan Chang, Shiran Dudy 2022-11-22T17:44:03Z 置信度 0.78 cs.HCcs.AI
• Brilla AI: AI Contestant for the National Science and Maths Quiz
  The African continent lacks enough qualified teachers which hampers the provision of adequate learning support. An AI could potentially augment the efforts of the limited number of teachers, leading to better learning outcomes. Towards that end, this work desc…
  arxiv George Boateng, Jonathan Abrefah Mensah, Kevin Takyi Yeboah, William Edor 等 2024-03-04T03:24:18Z 置信度 0.78 cs.CLcs.AIcs.CYcs.SDeess.AS
• Towards an AI to Win Ghana's National Science and Maths Quiz
  Can an AI win Ghana's National Science and Maths Quiz (NSMQ)? That is the question we seek to answer in the NSMQ AI project, an open-source project that is building AI to compete live in the NSMQ and win. The NSMQ is an annual live science and mathematics comp…
  arxiv George Boateng, Jonathan Abrefah Mensah, Kevin Takyi Yeboah, William Edor 等 2023-08-08T15:26:58Z 置信度 0.78 cs.HCcs.CLcs.CYcs.SDeess.AS
• White-Box AI Model: Next Frontier of Wireless Communications
  White-box AI (WAI), or explainable AI (XAI) model, a novel tool to achieve the reasoning behind decisions and predictions made by the AI algorithms, makes it more understandable and transparent. It offers a new approach to address key challenges of interpretab…
  arxiv Jiayao Yang, Jiayi Zhang, Bokai Xu, Jiakang Zheng 等 2025-04-12T08:57:17Z 置信度 0.78 cs.IT
• BERT4beam: Large AI Model Enabled Generalized Beamforming Optimization
  Artificial intelligence (AI) is anticipated to emerge as a pivotal enabler for the forthcoming sixth-generation (6G) wireless communication systems. However, current research efforts regarding large AI models for wireless communications primarily focus on fine…
  arxiv Yuhang Li, Yang Lu, Wei Chen, Bo Ai 等 2025-09-14T02:49:29Z 置信度 0.78 eess.SYcs.LG
• The ESO Science Archive
  The ESO Science Archive is the collection and access point of the data generated at ESO's La Silla Paranal Observatory, both raw and processed. It is a major contributor to ESO's science output, being used in about 4 out of 10 refereed articles with ESO data. …
  arxiv Martino Romaniello, the ESO Science Archive operations, development team 2022-09-23T14:18:48Z 置信度 0.78 astro-ph.IM
• Toward AI VIS Co-Scientists: A General and End-to-End Agent Harness for Solving Complex Data Visualization Tasks
  The ability to inspect, interpret, and communicate complex data is crucial for virtually any scientific endeavor, but often requires significant expertise outside the core domain ranging from data management and analysis to visualization design and implementat…
  arxiv Haichao Miao, Zhimin Li, Kuangshi Ai, Kaiyuan Tang 等 2026-05-20T23:49:28Z 置信度 0.78 cs.AIcs.HC
• How Do AI Companies "Fine-Tune" Policy? Examining Regulatory Capture in AI Governance
  Industry actors in the United States have gained extensive influence in conversations about the regulation of general-purpose artificial intelligence (AI) systems. Although industry participation is an important part of the policy process, it can also cause re…
  arxiv Kevin Wei, Carson Ezell, Nick Gabrieli, Chinmay Deshpande 2024-10-16T21:06:54Z 置信度 0.78 cs.CY
• Privacy and Copyright Protection in Generative AI: A Lifecycle Perspective
  The advent of Generative AI has marked a significant milestone in artificial intelligence, demonstrating remarkable capabilities in generating realistic images, texts, and data patterns. However, these advancements come with heightened concerns over data priva…
  arxiv Dawen Zhang, Boming Xia, Yue Liu, Xiwei Xu 等 2023-11-30T05:03:08Z 置信度 0.78 cs.SEcs.AIcs.CYcs.LG
• Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization
  Large language models (LLMs) leverage chain-of-thought (CoT) techniques to tackle complex problems, representing a transformative breakthrough in artificial intelligence (AI). However, their reasoning capabilities have primarily been demonstrated in solving ma…
  arxiv Shengchao Liu, Hannan Xu, Yan Ai, Huanxin Li 等 2025-07-21T23:46:11Z 置信度 0.78 cs.AIcs.LG
• Quantum batteries in coherent Ising machine
  With intensive studies of quantum thermodynamics, quantum batteries (QBs) have been proposed to store and transfer energy via quantum effects. Despite many theoretical models, decoherence remains a severe challenge and practical platforms are still rare. Here,…
  arxiv Jin-Tian Zhang, Shuang-Quan Ma, Jing-Yi-Ran Jin, Tao Liu 等 2025-12-17T04:30:00Z 置信度 0.78 quant-ph
• The Frontiers of Nuclear Science, A Long Range Plan
  This is a copy of the 2007 report prepared by the DOE/NSF Nuclear Science Advisory Committee in response to the charge from DOE and NSF to "conduct a study of the opportunities and priorities for U.S. nuclear physics research and recommend a long range plan th…
  arxiv The DOE/NSF Nuclear Science Advisory Committee 2008-09-17T20:52:44Z 置信度 0.78 nucl-exnucl-th
• Designing AI Systems that Augment Human Performed vs. Demonstrated Critical Thinking
  The recent rapid advancement of LLM-based AI systems has accelerated our search and production of information. While the advantages brought by these systems seemingly improve the performance or efficiency of human activities, they do not necessarily enhance hu…
  arxiv Katelyn Xiaoying Mei, Nic Weber 2025-04-20T17:40:28Z 置信度 0.78 cs.HC
• How do Humans Process AI-generated Hallucination Contents: a Neuroimaging Study
  While AI-generated hallucinations pose considerable risks, the underlying cognitive mechanisms by which humans can successfully recognize or be misled by these hallucinations remain unclear. To address this problem, this paper explores humans' neural dynamics …
  arxiv Shuqi Zhu, Yi Zhong, Ziyi Ye, Bangde Du 等 2026-05-16T12:08:22Z 置信度 0.78 cs.AIcs.CL
• The Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC): Selection of a performance metric for classification probabilities balancing diverse science goals
  Classification of transient and variable light curves is an essential step in using astronomical observations to develop an understanding of their underlying physical processes. However, upcoming deep photometric surveys, including the Large Synoptic Survey Te…
  arxiv A. I. Malz, R. Hložek, T. Allam, A. Bahmanyar 等 2018-09-28T17:02:31Z 置信度 0.78 astro-ph.IMastro-ph.COastro-ph.SR
• Overview of AI and Communication for 6G Network: Fundamentals, Challenges, and Future Research Opportunities
  With the growing demand for seamless connectivity and intelligent communication, the integration of artificial intelligence (AI) and sixth-generation (6G) communication networks has emerged as a transformative paradigm. By embedding AI capabilities across vari…
  arxiv Qimei Cui, Xiaohu You, Ni Wei, Guoshun Nan 等 2024-12-19T05:36:34Z 置信度 0.78 cs.NIcs.AIeess.SP
• Recognising the importance of preference change: A call for a coordinated multidisciplinary research effort in the age of AI
  As artificial intelligence becomes more powerful and a ubiquitous presence in daily life, it is imperative to understand and manage the impact of AI systems on our lives and decisions. Modern ML systems often change user behavior (e.g. personalized recommender…
  arxiv Matija Franklin, Hal Ashton, Rebecca Gorman, Stuart Armstrong 2022-03-20T11:23:15Z 置信度 0.78 cs.AIcs.HC
• Lattica: A Decentralized Cross-NAT Communication Framework for Scalable AI Inference and Training
  The rapid expansion of distributed Artificial Intelligence (AI) workloads beyond centralized data centers creates a demand for new communication substrates. These substrates must operate reliably in heterogeneous and permissionless environments, where Network …
  arxiv Ween Yang, Jason Liu, Suli Wang, Xinyuan Song 等 2025-09-30T19:03:24Z 置信度 0.78 cs.DC
• Towards Feature Engineering with Human and AI's Knowledge: Understanding Data Science Practitioners' Perceptions in Human&AI-Assisted Feature Engineering Design
  As AI technology continues to advance, the importance of human-AI collaboration becomes increasingly evident, with numerous studies exploring its potential in various fields. One vital field is data science, including feature engineering (FE), where both human…
  arxiv Qian Zhu, Dakuo Wang, Shuai Ma, April Yi Wang 等 2024-05-23T02:26:14Z 置信度 0.78 cs.HC
• Supporting Data-Frame Dynamics in AI-assisted Decision Making
  High stakes decision-making often requires a continuous interplay between evolving evidence and shifting hypotheses, a dynamic that is not well supported by current AI decision support systems. In this paper, we introduce a mixed-initiative framework for AI as…
  arxiv Chengbo Zheng, Tim Miller, Alina Bialkowski, H Peter Soyer 等 2025-04-22T13:36:06Z 置信度 0.78 cs.HCcs.AI
• AI-Driven Mobility Management for High-Speed Railway Communications: Compressed Measurements and Proactive Handover
  High-speed railway (HSR) communications are pivotal for ensuring rail safety, operations, maintenance, and delivering passenger information services. The high speed of trains creates rapidly time-varying wireless channels, increases the signaling overhead, and…
  arxiv Wen Li, Wei Chen, Shiyue Wang, Yuanyuan Zhang 等 2024-07-05T08:23:13Z 置信度 0.78 eess.SPcs.AI
• Embodied AI-Enhanced IoMT Edge Computing: UAV Trajectory Optimization and Task Offloading with Mobility Prediction
  Due to their inherent flexibility and autonomous operation, unmanned aerial vehicles (UAVs) have been widely used in Internet of Medical Things (IoMT) to provide real-time biomedical edge computing service for wireless body area network (WBAN) users. In this p…
  arxiv Siqi Mu, Shuo Wen, Yang Lu, Ruihong Jiang 等 2025-12-24T03:06:37Z 置信度 0.78 cs.NIcs.AI
• Cognitive Dissonance Artificial Intelligence (CD-AI): The Mind at War with Itself. Harnessing Discomfort to Sharpen Critical Thinking
  AI-augmented systems are traditionally designed to streamline human decision-making by minimizing cognitive load, clarifying arguments, and optimizing efficiency. However, in a world where algorithmic certainty risks becoming an Orwellian tool of epistemic con…
  arxiv Delia Deliu 2025-04-23T03:18:05Z 置信度 0.78 cs.HCcs.CY
• Towards Seamless Management of AI Models in High-Performance Computing
  With the increasing prevalence of artificial intelligence (AI) in diverse science/engineering communities, AI models emerge on an unprecedented scale among various domains. However, given the complexity and diversity of the software and hardware environments, …
  arxiv Sixing Yu, Murali Emani, Chunhua Liao, Pei-Hung Lin 等 2022-12-13T03:10:31Z 置信度 0.78 cs.DC
• AcOrch: Accelerating Sampling-based GNN Training under CPU-NPU Heterogeneous Environments
  Graph Neural Networks (GNNs) have achieved remarkable success in various applications. Sampling-based GNN training, which conducts mini-batch training on sampled subgraphs, has become a promising solution for large-scale graphs. Given the resource-intensive na…
  arxiv Kefu Chen, Xin Ai, Qiange Wang, Yanfeng Zhang 等 2026-05-31T11:08:51Z 置信度 0.78 cs.DC
• Balancing Power and Ethics: A Framework for Addressing Human Rights Concerns in Military AI
  AI has made significant strides recently, leading to various applications in both civilian and military sectors. The military sees AI as a solution for developing more effective and faster technologies. While AI offers benefits like improved operational effici…
  arxiv Mst Rafia Islam, Azmine Toushik Wasi 2024-11-10T02:27:01Z 置信度 0.78 cs.CYcs.AIcs.CEcs.HCcs.LG
• The Future of Artificial Intelligence and the Mathematical and Physical Sciences (AI+MPS)
  This community paper developed out of the NSF Workshop on the Future of Artificial Intelligence (AI) and the Mathematical and Physics Sciences (MPS), which was held in March 2025 with the goal of understanding how the MPS domains (Astronomy, Chemistry, Materia…
  arxiv Andrew Ferguson, Marisa LaFleur, Lars Ruthotto, Jesse Thaler 等 2025-09-02T18:00:00Z 置信度 0.78 cs.AIastro-ph.IMcond-mat.mtrl-scics.LGphysics.data-an
• Towards trustworthy agentic AI: a comprehensive survey of safety, robustness, privacy, and system security
  Agentic AI systems -- Large Language Models (LLMs) augmented with planning, tool use, memory, and long-horizon interactions -- can execute complex tasks autonomously, but their multi-step trajectories introduce new failure modes that challenge trustworthiness.…
  arxiv Jinhu Qi, Muzhi Li, Jiahong Liu, Yuqin Shu 等 2026-05-17T10:26:37Z 置信度 0.78 cs.AIcs.CLcs.CR
• Explainable AI for Blind and Low-Vision Users: Navigating Trust, Modality, and Interpretability in the Agentic Era
  Explainable Artificial Intelligence (XAI) is critical for ensuring trust and accountability, yet its development remains predominantly visual. For blind and low-vision (BLV) users, the lack of accessible explanations creates a fundamental barrier to the indepe…
  arxiv Abu Noman Md Sakib, Protik Dey, Zijie Zhang, Taslima Akter 2026-03-31T19:39:52Z 置信度 0.78 cs.HCcs.AIcs.ET
• A Review of Generative AI in Computer Science Education: Challenges and Opportunities in Accuracy, Authenticity, and Assessment
  This paper surveys the use of Generative AI tools, such as ChatGPT and Claude, in computer science education, focusing on key aspects of accuracy, authenticity, and assessment. Through a literature review, we highlight both the challenges and opportunities the…
  arxiv Iman Reihanian, Yunfei Hou, Yu Chen, Yifei Zheng 2025-06-17T19:20:58Z 置信度 0.78 cs.CYcs.AI
• GOD model: Privacy Preserved AI School for Personal Assistant
  Personal AI assistants (e.g., Apple Intelligence, Meta AI) offer proactive recommendations that simplify everyday tasks, but their reliance on sensitive user data raises concerns about privacy and trust. To address these challenges, we introduce the Guardian o…
  arxiv PIN AI Team, Bill Sun, Gavin Guo, Regan Peng 等 2025-02-24T20:30:17Z 置信度 0.78 cs.CRcs.AIcs.LG
• PeopleSearchBench: A Multi-Dimensional Benchmark for Evaluating AI-Powered People Search Platforms
  AI-powered people search platforms are increasingly used in recruiting, sales prospecting, and professional networking, yet no widely accepted benchmark exists for evaluating their performance. We introduce PeopleSearchBench, an open-source benchmark that comp…
  arxiv Wei Wang, Tianyu Shi, Shuai Zhang, Boyang Xia 等 2026-03-29T02:21:09Z 置信度 0.78 cs.AIcs.LG
• Integrators at War: Mediating in AI-assisted Resort-to-Force Decisions
  The integration of AI systems into the military domain is changing the way war-related decisions are made. It binds together three disparate groups of actors - developers, integrators, users - and creates a relationship between these groups and the machine, em…
  arxiv Dennis Müller, Maurice Chiodo, Mitja Sienknecht 2025-01-12T16:21:33Z 置信度 0.78 cs.CYcs.AImath.HO
• Rate-Splitting for Cell-Free Massive MIMO: Performance Analysis and Generative AI Approach
  Cell-free (CF) massive multiple-input multipleoutput (MIMO) provides a ubiquitous coverage to user equipments (UEs) but it is also susceptible to interference. Ratesplitting (RS) effectively extracts data by decoding interference, yet its effectiveness is limi…
  arxiv Jiakang Zheng, Jiayi Zhang, Hongyang Du, Ruichen Zhang 等 2024-09-23T04:43:01Z 置信度 0.78 cs.ITeess.SP
• More Than "Means to an End": Supporting Reasoning with Transparently Designed AI Data Science Processes
  Generative artificial intelligence (AI) tools can now help people perform complex data science tasks regardless of their expertise. While these tools have great potential to help more people work with data, their end-to-end approach does not support users in e…
  arxiv Venkatesh Sivaraman, Patrick Vossler, Adam Perer, Julian Hong 等 2026-03-25T23:47:54Z 置信度 0.78 cs.HCcs.AI
• New Science on the Open Science Grid
  The Open Science Grid (OSG) includes work to enable new science, new scientists, and new modalities in support of computationally based research. There are frequently significant sociological and organizational changes required in transformation from the exist…
  arxiv The Open Science Grid Executive Board, :, Ruth Pordes, Mine Altunay 等 2009-04-24T22:35:02Z 置信度 0.78 physics.comp-ph
• AI-Empowered RIS-Assisted Networks: CV-Enabled RIS Selection and DNN-Enabled Transmission
  This paper investigates artificial intelligence (AI) empowered schemes for reconfigurable intelligent surface (RIS) assisted networks from the perspective of fast implementation. We formulate a weighted sum-rate maximization problem for a multi-RIS-assisted ne…
  arxiv Conggang Hu, Yang Lu, Hongyang Du, Mi Yang 等 2024-04-18T01:36:03Z 置信度 0.78 eess.SP
• Promoting Real-Time Reflection in Synchronous Communication with Generative AI
  Real-time reflection plays a vital role in synchronous communication. It enables users to adjust their communication strategies dynamically, thereby improving the effectiveness of their communication. Generative AI holds significant potential to enhance real-t…
  arxiv Yi Wen, Meng Xia 2025-04-22T07:12:56Z 置信度 0.78 cs.HC
• A quantitative perspective on ethics in large team science
  The gradual crowding out of singleton and small team science by large team endeavors is challenging key features of research culture. It is therefore important for the future of scientific practice to reflect upon the individual scientist's ethical responsibil…
  arxiv Alexander M. Petersen, Ioannis Pavlidis, Ioanna Semendeferi 2014-04-01T10:43:36Z 置信度 0.78 physics.soc-phcs.CYcs.DL
• Distributed Cognition for AI-supported Remote Operations: Challenges and Research Directions
  This paper investigates the impact of artificial intelligence integration on remote operations, emphasising its influence on both distributed and team cognition. As remote operations increasingly rely on digital interfaces, sensors, and networked communication…
  arxiv Rune Møberg Jacobsen, Joel Wester, Helena Bøjer Djernæs, Niels van Berkel 2025-04-21T09:53:49Z 置信度 0.78 cs.HC
• AI-Mediated Exchange Theory
  As Artificial Intelligence (AI) plays an ever-expanding role in sociotechnical systems, it is important to articulate the relationships between humans and AI. However, the scholarly communities studying human-AI relationships -- including but not limited to so…
  arxiv Xiao Ma, Taylor W. Brown 2020-03-04T14:18:18Z 置信度 0.78 cs.HCcs.AI
• AI Agents and the Law
  As AI becomes more "agentic," it faces technical and socio-legal issues it must address if it is to fulfill its promise of increased economic productivity and efficiency. This paper uses technical and legal perspectives to explain how things change when AI sys…
  arxiv Mark O. Riedl, Deven R. Desai 2025-08-12T01:18:48Z 置信度 0.78 cs.CYcs.AI
• Navigating the State of Cognitive Flow: Context-Aware AI Interventions for Effective Reasoning Support
  Flow theory describes an optimal cognitive state where individuals experience deep focus and intrinsic motivation when a task's difficulty aligns with their skill level. In AI-augmented reasoning, interventions that disrupt the state of cognitive flow can hind…
  arxiv Dinithi Dissanayake, Suranga Nanayakkara 2025-04-22T16:35:39Z 置信度 0.78 cs.HCcs.AI
• The Preliminary Mauve Science Programme: Science themes identified for the first year of operations
  Mauve is a low-cost small satellite developed and operated by Blue Skies Space Ltd. The payload features a 13 cm telescope connected with a fibre that feeds into a UV-Vis spectrometer. The detector covers the 200-700 nm range in a single shot, obtaining low re…
  arxiv Mauve Science Collaboration, Marcel Agueros, Don Dixon, Chuanfei Dong 等 2025-12-18T15:44:46Z 置信度 0.78 astro-ph.SRastro-ph.IM
• Model Science: getting serious about verification, explanation and control of AI systems
  The growing adoption of foundation models calls for a paradigm shift from Data Science to Model Science. Unlike data-centric approaches, Model Science places the trained model at the core of analysis, aiming to interact, verify, explain, and control its behavi…
  arxiv Przemyslaw Biecek, Wojciech Samek 2025-08-27T16:50:17Z 置信度 0.78 cs.AIcs.LG
• Analysing Environmental Efficiency in AI for X-Ray Diagnosis
  The integration of AI tools into medical applications has aimed to improve the efficiency of diagnosis. The emergence of large language models (LLMs), such as ChatGPT and Claude, has expanded this integration even further despite a concern for their environmen…
  arxiv Liam Kearns 2025-10-31T14:19:57Z 置信度 0.78 cs.AI
• Data Science as a Route to AI for Middle- and High-School Students
  The Bootstrap Project's Data Science curriculum has trained about 100 teachers who are using it around the country. It is specifically designed to aid adoption at a wide range of institutions. It emphasizes valuable curricular goals by drawing on both the educ…
  arxiv Shriram Krishnamurthi, Emmanuel Schanzer, Joe Gibbs Politz, Benjamin S. Lerner 等 2020-04-30T21:17:01Z 置信度 0.78 cs.CY
• MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI
  Modern AI progress has been driven by ML methods that are generalizable across settings and scalable to larger regimes. As large language models demonstrate advanced capabilities in reasoning, coding, and engineering tasks, it is increasingly important to unde…
  arxiv Bohan Lyu, Yucheng Yang, Siqiao Huang, Jiaru Zhang 等 2026-05-09T04:29:46Z 置信度 0.78 cs.LG
• Report prepared by the Montreal AI Ethics Institute (MAIEI) on Publication Norms for Responsible AI
  The history of science and technology shows that seemingly innocuous developments in scientific theories and research have enabled real-world applications with significant negative consequences for humanity. In order to ensure that the science and technology o…
  arxiv Abhishek Gupta, Camylle Lanteigne, Victoria Heath 2020-09-15T17:51:40Z 置信度 0.78 cs.CYcs.AI
• Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving Object Segmentation
  Accurate moving object segmentation is an essential task for autonomous driving. It can provide effective information for many downstream tasks, such as collision avoidance, path planning, and static map construction. How to effectively exploit the spatial-tem…
  arxiv Jiadai Sun, Yuchao Dai, Xianjing Zhang, Jintao Xu 等 2022-07-05T17:59:17Z 置信度 0.78 cs.CVcs.RO
• A Survey on Memory-Efficient Transformer-Based Model Training in AI for Science
  Scientific research faces high costs and inefficiencies with traditional methods, but the rise of deep learning and large language models (LLMs) offers innovative solutions. This survey reviews transformer-based LLM applications across scientific fields such a…
  arxiv Kaiyuan Tian, Linbo Qiao, Baihui Liu, Gongqingjian Jiang 等 2025-01-21T03:06:30Z 置信度 0.78 cs.LGcs.AI
• Dimensions: A Competitor to Scopus and the Web of Science?
  Dimensions is a partly free scholarly database launched by Digital Science in January 2018. Dimensions includes journal articles and citation counts, making it a potential new source of impact data. This article explores the value of Dimensions from an impact …
  arxiv Mike Thelwall 2018-03-20T17:06:26Z 置信度 0.78 cs.DL
• PlayFutures: Imagining Civic Futures with AI and Puppets
  Children are the builders of the future and crucial to how the technologies around us develop. They are not voters but are participants in how the public spaces in a city are used. Through a workshop designed around kids of age 9-12, we investigate if novel te…
  arxiv Supratim Pait, Sumita Sharma, Ashley Frith, Michael Nitsche 等 2024-04-01T23:20:08Z 置信度 0.78 cs.HC
• From Pilots to Practices: A Scoping Review of GenAI-Enabled Personalization in Computer Science Education
  Generative AI enables personalized computer science education at scale, yet questions remain about whether such personalization supports or undermines learning. This scoping review synthesizes 32 studies (2023-2025) purposively sampled from 259 records to map …
  arxiv Iman Reihanian, Yunfei Hou, Qingquan Sun 2025-12-23T19:20:34Z 置信度 0.78 cs.AIcs.CYcs.HC
• AI for social science and social science of AI: A Survey
  Recent advancements in artificial intelligence, particularly with the emergence of large language models (LLMs), have sparked a rethinking of artificial general intelligence possibilities. The increasing human-like capabilities of AI are also attracting attent…
  arxiv Ruoxi Xu, Yingfei Sun, Mengjie Ren, Shiguang Guo 等 2024-01-22T10:57:09Z 置信度 0.78 cs.CLcs.CY
• Report on the First Knowledge Graph Reasoning Challenge 2018 -- Toward the eXplainable AI System
  A new challenge for knowledge graph reasoning started in 2018. Deep learning has promoted the application of artificial intelligence (AI) techniques to a wide variety of social problems. Accordingly, being able to explain the reason for an AI decision is becom…
  arxiv Takahiro Kawamura, Shusaku Egami, Koutarou Tamura, Yasunori Hokazono 等 2019-08-22T03:27:48Z 置信度 0.78 cs.AIcs.LG
• LLM-Driven Discovery of High-Entropy Catalysts via Retrieval-Augmented Generation
  CO2 reduction requires efficient catalysts, yet materials discovery remains bottlenecked by 10-20 year development cycles requiring deep domain expertise. This paper demonstrates how large language models can assist the catalyst discovery process by helping re…
  arxiv AI Scientists, Xinyi Lin, Danqing Yin, Ying Guo 2026-03-16T14:10:52Z 置信度 0.78 cond-mat.mtrl-scics.AI
• Exploring AI Futures Through Fictional News Articles
  The aim of this workshop was to enable critical discussion on AI futures using fictional news articles and discussion groups. By collaboratively imagining and presenting future scenarios in a journalistic news article format, participants explored the socio-po…
  arxiv Martin Lindstam, Elin Sporrong, Camilo Sanchez, Petra Jääskeläinen 2024-09-10T09:17:35Z 置信度 0.78 cs.HC
• Principles and Guidelines for Randomized Controlled Trials in AI Evaluation
  This work establishes a framework for standardizing AI evaluation RCTs (sometimes called human uplift studies). Drawing on established practices from disciplines with established RCT traditions, including software engineering, economics, clinical and health sc…
  arxiv Christopher Kelly, Angelica Chowdhury, Alexandra Campili, Bimpe Ayoola 等 2026-05-03T20:37:48Z 置信度 0.78 cs.CYcs.AIcs.HCcs.LG
• Amazon Nova AI Challenge -- Trusted AI: Advancing secure, AI-assisted software development
  AI systems for software development are rapidly gaining prominence, yet significant challenges remain in ensuring their safety. To address this, Amazon launched the Trusted AI track of the Amazon Nova AI Challenge, a global competition among 10 university team…
  arxiv Sattvik Sahai, Prasoon Goyal, Michael Johnston, Anna Gottardi 等 2025-08-13T18:04:01Z 置信度 0.78 cs.AIcs.CL
• MatScIE: An automated tool for the generation of databases of methods and parameters used in the computational materials science literature
  The number of published articles in the field of materials science is growing rapidly every year. This comparatively unstructured data source, which contains a large amount of information, has a restriction on its re-usability, as the information needed to car…
  arxiv Souradip Guha, Ankan Mullick, Jatin Agrawal, Swetarekha Ram 等 2020-09-15T01:52:47Z 置信度 0.78 cs.CL
• Intanify AI Platform: Embedded AI for Automated IP Audit and Due Diligence
  In this paper we introduce a Platform created in order to support SMEs' endeavor to extract value from their intangible assets effectively. To implement the Platform, we developed five knowledge bases using a knowledge-based ex-pert system shell that contain k…
  arxiv Viktor Dorfler, Dylan Dryden, Viet Lee 2025-03-12T13:44:44Z 置信度 0.78 cs.CYcs.AIcs.CEcs.HC
• Science-Driven Optimization of the LSST Observing Strategy
  The Large Synoptic Survey Telescope is designed to provide an unprecedented optical imaging dataset that will support investigations of our Solar System, Galaxy and Universe, across half the sky and over ten years of repeated observation. However, exactly how …
  arxiv LSST Science Collaboration, Phil Marshall, Timo Anguita, Federica B. Bianco 等 2017-08-14T10:09:27Z 置信度 0.78 astro-ph.IMastro-ph.COastro-ph.EPastro-ph.GAastro-ph.SR
• Conservative AI and social inequality: Conceptualizing alternatives to bias through social theory
  In response to calls for greater interdisciplinary involvement from the social sciences and humanities in the development, governance, and study of artificial intelligence systems, this paper presents one sociologist's view on the problem of algorithmic bias a…
  arxiv Mike Zajko 2020-07-16T21:52:13Z 置信度 0.78 cs.CYcs.AI
• Cura 1T: Specialized Model for Agentic Healthcare
  Healthcare AI agents handle patient consultation, clinical reasoning over text and images, interactive diagnosis, and electronic health record (EHR) tool use, yet specialized agentic models that cover these use cases together remain limited. These capabilities…
  arxiv actAVA AI, :, Haolin Chen, Leon Qi 等 2026-07-15T22:05:23Z 置信度 0.78 cs.AI
• Critical Science Plan for the Daniel K. Inouye Solar Telescope (DKIST)
  The Daniel K. Inouye Solar Telescope (DKIST) will revolutionize our ability to measure, understand and model the basic physical processes that control the structure and dynamics of the Sun and its atmosphere. The first-light DKIST images, released publicly on …
  arxiv Mark P. Rast, Nazaret Bello González, Luis Bellot Rubio, Wenda Cao 等 2020-08-19T00:13:34Z 置信度 0.78 astro-ph.SR