AI 驱动科学发现 · 全部实体（第 66 / 100 页）

本页收录第 6501–6600 条，共 10000 条 · 返回 AI 驱动科学发现 首页

• Application of Particle Swarm Optimization and Bacterial Foraging Optimization in Parallel Assembly Sequence Planning: A Systematic Review
  Abstract This systematic review explores the application of Particle Swarm Optimization (PSO), Bacterial Foraging Optimization (BFO), and their hybrid forms in Parallel Assembly Sequence Planning (PASP) across complex manufacturing sectors such as automotive, …
  preprints 2025 置信度 0.74
• The Virtual Lab: AI Agents Design New SARS-CoV-2 Nanobodies with Experimental Validation
  Science frequently benefits from teams of interdisciplinary researchers. However, most scientists don’t have access to experts from multiple fields. Fortunately, large language models (LLMs) have recently shown an impressive ability to aid researchers across d…
  preprints 2024 置信度 0.74
• Inhibitory control and error processing in Obsessive-Compulsive Disorder: A mega-analysis of task-based fMRI data by the ENIGMA-OCD consortium
  Objective: Obsessive-compulsive disorder (OCD) is a chronic condition in which impaired inhibitory control and excessive error monitoring may contribute to the maintenance of obsessions and compulsions. This mega-analysis investigates neural activation during …
  preprints 2025 置信度 0.74
• Data quality biases normative models derived from fetal brain MRI
  Normative modeling is increasingly used to characterize typical growth trajectories and identify atypical neurodevelopment, including early brain development using magnetic resonance imaging (MRI) acquired before birth. Recent work has emphasized the importanc…
  preprints 2026 置信度 0.74
• The Role of AI in Shaping Future Tourism and Hospitality Trends
  Abstract Integrating artificial intelligence (AI) and other advanced technologies is transforming the Tourism and Hospitality industry, reshaping operations and elevating service standards. This study offers a comprehensive bibliometric analysis of AI’s impact…
  preprints 2024 置信度 0.74
• How Architecture Builds Intelligence: Lessons From AI
  The architecture in the title refers to physical buildings, spaces, and walls. Dominant architectural culture prefers a minimalist environment that contradicts the information setting needed for the infant brain to develop. Much of world architecture after Wor…
  preprints 2024 置信度 0.74
• Generative Artificial Intelligence and Its Role in the Development of Clinical Cases in Medical Education: A Scoping Review Protocol
  Introduction: Integrating generative AI into medical education addresses challenges in developing clinical cases for case-based learning (CBL), a method that enhances critical thinking and learner engagement through realistic scenarios. Traditional CBL is reso…
  preprints 2025 置信度 0.74
• Molecular Biomarkers in Neurological Diseases: Advances in Diagnosis and Prognosis
  Background: Neurological diseases contribute significantly to disability and mortality, necessitating improved diagnostic and prognostic tools. Advances in molecular biomarkers at genomic, transcriptomic, epigenomic, and proteomic levels have facilitated early…
  preprints 2025 置信度 0.74
• Exploring the potential benefits and challenges of artificial intelligence for research funding organisations: a scoping review
  Background Artificial Intelligence (AI) is at the forefront of today’s technological revolution, enhancing efficiency in many organisations and sectors. However, in some research environments, its adoption is tempered by the risks AI poses to data protection, …
  preprints 2024 置信度 0.74
• Assessing Africa’s position in the development of AI-enabled ECG devices
  Background: The integration of Artificial Intelligence (AI) in electrocardiographic (ECG) devices has become a pivotal area of research, particularly during the COVID-19 pandemic. These technologies are essential for enhancing cardiac diagnosis and monitoring.…
  preprints 2024 置信度 0.74
• 2024 Conference on AI, Science, Engineering, and Technology (AIxSET)
  crossref 2024-12-03T18:56:15Z 置信度 0.70
• Data Science Solutions on Azure
  This revamped and updated book focuses on Generative AI, and moves away from traditional data science into the area of applied AI.
  crossref Julian Soh, Priyanshi Singh 2024-11-18T19:29:02Z 置信度 0.70
• Dancing with AI: AI-employee collaboration in the systemic view
  crossref Meng YIN, Xiongying NIU 2023-10-25T06:32:12Z 置信度 0.70
• Large Language Models Seem Miraculous, but Science Abhors Miracles
  Generative artificial intelligence models exhibit amazing abilities but make serious errors. We have a very limited understanding of why they work well at all or of the circumstances under which they give incorrect responses. This suggests the need for additio…
  crossref Peter Szolovits 2024-05-09T10:00:41Z 置信度 0.70
• An introduction to AI
  Artificial Intelligence (AI) is an umbrella term that captures an extraordinary field of computer science dedicated to creating systems capable of tasks that, until recently, required human intelligence. From the ancient myths of automatons to the modern algor…
  crossref Stylianos Kampakis 2024-06-30T21:02:16Z 置信度 0.70
• AI System Report: Hirevue’s AI-Driven Assessment Tool
  Hirevue, a leading technology company in human resources, utilizes AI to optimize recruitment processes through its sophisticated assessment platform. This platform employs machine learning to analyze video interviews, evaluating both verbal and non-verbal cue…
  crossref Fanyi Zhou 2024-07-30T23:15:42Z 置信度 0.70
• Reading Chekhov with AI
  crossref Yair Neuman 2024-12-04T08:48:17Z 置信度 0.70
• Proceedings
  crossref 2024-12-03T18:55:24Z 置信度 0.70
• Science, Prophecy and AI
  crossref Stephen I. Ternyik 2024-10-18T13:14:04Z 置信度 0.70
• Epilogue: Data Science and AI Rule the World
  Data is being created and consumed at an unprecedented scale. Data science is progressing even faster, further speeding up the rate of data creation and consumption.
  crossref Stylianos Kampakis 2024-06-30T21:02:16Z 置信度 0.70
• AI and Generative AI for Research Discovery and Summarization
  AI and generative AI tools, including chatbots like ChatGPT that rely on large language models (LLMs), have burst onto the scene this year, creating incredible opportunities to increase work productivity and improve our lives. Statisticians and data scientists…
  crossref Mark Glickman, Yi Zhang 2024-03-28T15:58:31Z 置信度 0.70
• AI4OPT: AI Institute for Advances in Optimization
  Abstract This article is a short introduction to AI4OPT , the NSF AI Institute for Advances in Optimization. AI4OPT fuses AI and optimization, inspired by societal challenges in supply chains, energy systems, chip design and manufacturing, and sustainable food…
  crossref Pascal Van Hentenryck, Kevin Dalmeijer 2024-02-10T15:43:09Z 置信度 0.70
• Data Science in the Modern Enterprise – An Update
  In the first edition of this book, we set out to introduce data science in a traditional fashion – an algorithmic and statistical approach to analyzing data and using the data to create models that primarily serve to predict or categorize future data. Data sci…
  crossref Julian Soh, Priyanshi Singh 2024-11-18T19:29:07Z 置信度 0.70
• Decision letter for "Accelerating AI for science: open data science for science"
  crossref 2024-08-22T17:04:56Z 置信度 0.70
• Author Index
  crossref 2024-12-03T18:55:24Z 置信度 0.70
• Copyright Page
  crossref 2024-12-03T18:55:24Z 置信度 0.70
• The Future of AI Governance: Navigating the Challenges of Generative AI
  As artificial intelligence AI technologies continue to advance, the need for effective governance, the need for effective governance frameworks has become increasingly pressing. The rise of generative AIs capable of producing synthetic data, images, and text h…
  crossref Vyoma Gajjar 2024-09-30T12:19:32Z 置信度 0.70
• Explainable Commonsense AI
  crossref Filip Ilievski 2024-12-20T05:58:25Z 置信度 0.70
• Possibilities and limitations of AI in Citizen Science
  이 논문은 시민과학에서 AI가 활용된 사례 조사를 통해 AI가 시민과학에 어떤 영향을 미쳤는지를 분석한다. 컴퓨터 비전, 합성곱 신경망 등 머신러닝, 딥러닝 알고리즘의 AI 기술이 시민과학에 적용되면서 시민과학 프로젝트의 데이터 처리 속도가 향상되고 데이터 품질이 향상되었다. 머신러닝 알고리즘으로 데이터 처리가 자동화됨에 따라 생물 다양성에 대한 전 지구적 변화추적이 가능해졌고 증거 데이터 기반의 사전예방적 보존 정책 수립에 시민과학이 기여할 수 있게 되었다. …
  crossref Jin Hee Park 2025-01-17T00:42:00Z 置信度 0.70
• Responsible Commonsense AI
  crossref Filip Ilievski 2024-12-20T05:58:25Z 置信度 0.70
• Robust Commonsense AI
  The emergence of (large) language models has resulted in a paradigm shift in terms of developing general-purpose models that can contribute to a variety of tasks and domains. For the first time in the history of AI, the community of researchers has access to p…
  crossref Filip Ilievski 2024-12-20T05:58:24Z 置信度 0.70
• Data management in Polish SMEs in the era of AI – threats and benefits of AI-based tools
  The primary goal of the article is to analyse whether the benefits of implementing AI-based solutions in the area of cybersecurity may be a sufficient stimulus for Polish Small and Medium-Sized Enterprises (SMEs) to decide for their adoption. With this view in…
  crossref Grzegorz Chmielarz 2024-11-28T17:58:53Z 置信度 0.70
• Collaborative Commonsense AI
  crossref Filip Ilievski 2024-12-20T05:58:25Z 置信度 0.70
• The Handbook of Data Science and AI
  crossref 2024-08-01T13:21:24Z 置信度 0.70
• Citation-infusion of research papers with AI?
  I came across the AI company Sourcely these days. It promises to " <em> Finish Your Research in Minutes. Save Your Sleep. Paste your essay to find, summarize, and add credible sources. (That's something Google Scholar can't do!) </em> " Saving time…
  crossref Ingo Rohlfing 2024-03-04T15:14:44Z 置信度 0.70
• Building trustworthy NeuroSymbolic AI Systems: Consistency, reliability, explainability, and safety
  Abstract Explainability and Safety engender trust. These require a model to exhibit consistency and reliability. To achieve these, it is necessary to use and analyze data and knowledge with statistical and symbolic AI methods relevant to the AI application––ne…
  crossref Manas Gaur, Amit Sheth 2024-02-14T14:55:04Z 置信度 0.70
• Generative AI in Academics
  There is a bifurcation in the academic voice regarding the adoption or rejection of generative AI in the classroom. This division in pedagogy remains ever present as educators struggle to catch up with advancing AI technology and its staunch integration into s…
  crossref Brittney Schultz 2024-09-13T01:17:23Z 置信度 0.70
• Is Participation Necessary in the AI Era: Centered on Discussions on “Participatory AI”
  이 글은 AI 시대 참여의 문제를 시론적으로 검토하고 있다. 먼저, STS의 논의를 중심으로 과학기술에 대한 참여 연구의 기원과 전개 양상을 살펴보고, 디지털 기술의 출현에 따른 참여의 양면성을 검토하고 있다. 둘째, 참여형 AI에 대한 논의를 검토하면서 AI 시대 참여의 필요성을 묻고 있다. AI 시스템의 설계 및 개발에서 참여의 유의미성을 상징적으로 보여주는 참여형 AI의 출현 배경, 역사-기술적 기원, 주요 사례 등을 살펴보고 있다. 그리고, 참여형 AI를…
  crossref Yun Jae Kang 2025-01-17T00:42:00Z 置信度 0.70
• AI‐EDGE: An NSF AI institute for future edge networks and distributed intelligence
  Abstract This paper highlights the overall endeavors of the NSF AI Institute for Future Edge Networks and Distributed Intelligence (AI‐EDGE) to create a research, education, knowledge transfer, and workforce development environment for developing technological…
  crossref Peizhong Ju, Chengzhang Li, Yingbin Liang, Ness Shroff 2024-02-10T15:33:17Z 置信度 0.70
• Citation-infusion of research papers with AI?
  I came across the AI company Sourcely these days. It promises to " <em> Finish Your Research in Minutes. Save Your Sleep. Paste your essay to find, summarize, and add credible sources. (That's something Google Scholar can't do!) </em> " Saving time…
  crossref Ingo Rohlfing 2026-08-31T04:02:46Z 置信度 0.70
• Toward Personalizing Healthcare With AI
  The claim that artificial intelligence (AI) is the biggest breakthrough in medicine is not altogether an exaggeration. In this brief note we describe a few trends and speculate on a future path of AI in the healthcare sector. Since AI depends on data, growth i…
  crossref Joseph R. Barr, Fabio Persia, Daniela D'Auria, Jon C. Haass 2024-12-03T18:55:24Z 置信度 0.70
• Final Thoughts on AI for Understanding Context
  crossref Yair Neuman 2024-12-04T08:48:45Z 置信度 0.70
• Half Title Page
  crossref 2024-12-03T18:55:24Z 置信度 0.70
• Table of Contents
  crossref 2024-12-03T18:55:24Z 置信度 0.70
• AI in Education and Learning: Perspectives on the Education Ecosystem
  crossref Hannele Niemi 2024-10-10T13:02:05Z 置信度 0.70
• Understanding Large Language Models
  As mentioned in Chapter 1 , the most significant development in AI is the introduction of generative AI. As promised, we will take a comprehensive look at generative AI. As part of this effort, we will learn new terminologies and concepts. By the time you have…
  crossref Julian Soh, Priyanshi Singh 2024-11-18T19:29:04Z 置信度 0.70
• Deriving Strategic Insights from Earnings Calls: Leveraging Human Experts, AI-Based Search, and Generative AI for Synthesis and Summarization
  Earnings transcript analyses have historically been processed manually and often augmented with AI techniques for natural language processing. Advances in Generative AI open up further opportunities for insights. Instead of looking in silos, we propose an inte…
  crossref Suraj G. Jadhav, Surendra Sarnikar 2024-12-03T18:55:24Z 置信度 0.70
• Generative AI and Research Integrity
  GPT based text generators like ChatGPT or Microsoft Copilot have rapidly become a "cultural sensation". This document provides scientific background and guidance on how to think critically and mindfully about these tools in academic writing and research.
  crossref Mark Dingemanse 2024-05-14T14:55:25Z 置信度 0.70
• 27 Trustworthy AI
  crossref 2024-08-01T13:21:24Z 置信度 0.70
• AI and The Future Of Employment
  crossref Patrick Dicks 2024-12-09T06:31:31Z 置信度 0.70
• On the Citizen Science Based AI Governance
  이 논문은 인공지능(AI) 윤리를 실천적으로 구성하고 집행하기 위해서 시민과학 방법론을 적용한 거버넌스를 제안한다. AI 거버넌스 개발에는 새로운 적용이 필요한데, AI 기술의 특성을 반영해야 하기 때문이다. AI 기술은 지속적으로 변이하므로 개발과 사용 단계가 명백하게 분리되지 않는다. 그것은 한편으로 기술 위험이지만, 다른 한편으로 사용자가 이 기술에 개입할 여지를 만든다. 최근 AI 기술 문제는 공공적 삶의 방식에 관한 문제로 전환되고 있다. 이에 AI 기…
  crossref Ji Yeon Kim, Jin Hee Park 2025-01-17T00:42:00Z 置信度 0.70
• Background and Foundations: Sustainability, Fintech, Data Science, and AI
  crossref Sucharita Gopal, Josh Pitts 2025-01-06T06:59:57Z 置信度 0.70
• AI in Africa: Basics Over Buzz
  When Buti Manamela visited Lengau, Africa’s fastest supercomputer, he had more prosaic technology in mind: electricity. South Africa’s Deputy Minister of Higher Education, Science and Technology was at the Center for High Performance Computing in Cape Town for…
  crossref Rose M. Mutiso 2024-03-28T13:59:47Z 置信度 0.70
• AI for Making Smarter Cities
  With the planet grappling with unprecedented climate and environmental challenges, there is another area of concern that can no longer be ignored-that of increasing urbanisation. It is estimated that two out of every three people in the world will live in citi…
  crossref Tiara Jain 2024-05-13T06:33:57Z 置信度 0.70
• AI-Assisted Resolution of Russell’s Paradox
  This paper represents the output of a human-AI collaboration to produce innovations in self-referential logic and meta-mathematics. The finding of this paper is a resolution of Russell’s Paradox by refactoring the paradox into self-referential and non-self-ref…
  crossref Arzhang Kamarei 2024-04-08T21:12:38Z 置信度 0.70
• Structured Data, Codex, Agents, and DBCopilot
  Up until this point, we have been discussing generative AI within the context of unstructured data. We have seen how we can ground the LLM with unstructured data and interact with the data through natural language processing.
  crossref Julian Soh, Priyanshi Singh 2024-11-18T19:29:05Z 置信度 0.70
• Engaging Comparative Literature in AI Development
  The essay argues that the humanities, particularly through literary and cultural studies, can provide critical insights into AI's ethical, philosophical, and sociotechnical implications. An interdisciplinary approach is needed in creating AI technologies. Comp…
  crossref Nina Begus 2024-07-30T17:38:56Z 置信度 0.70
• Human-Centric AI in Complex Scenarios
  crossref Filip Ilievski 2024-12-20T05:58:21Z 置信度 0.70
• Message from the General Chairs: AIxSET 2024
  Artificial Intelligence (AI) is concerned with computing technologies that allow machines to see, hear, talk, think, learn, and solve problems even above the level of human beings. On the one hand, it allows data to be analyzed by real-time models that enable …
  crossref 2024-12-03T18:55:24Z 置信度 0.70
• Semantic Kernel, Plugins, and Function Calling
  In this chapter, we will be transitioning from focusing on the LLM, to designing LLM-driven solutions. Therefore, the topic is how we get LLMs to carry out tasks that come through requests or via workflows. Historically, tasks and workflows are orchestrated by…
  crossref Julian Soh, Priyanshi Singh 2024-11-18T19:29:05Z 置信度 0.70
• AI-Assisted Resolution of Russell’s Paradox
  This paper represents the output of a human-AI collaboration to produce innovations in self-referential logic and meta-mathematics. The finding of this paper is a resolution of Russell’s Paradox by refactoring the paradox into self-referential and non-self-ref…
  crossref Arzhang Kamarei 2025-03-02T20:58:34Z 置信度 0.70
• How Will AI Steal Our Elections?
  In the evolving landscape of digital technology, artificial intelligence (AI) has emerged as a transformative force with the potential to redefine the dynamics of political campaigns and elections. While AI offers unparalleled opportunities for enhancing the e…
  crossref Chen Yu 2024-02-29T00:00:48Z 置信度 0.70
• Accelerated AI for Real-time Discovery
  crossref Michael Coughlin, Erik Katsavounidis, Benedikt Reidel, Kate Scholberg 2024-10-10T17:02:05Z 置信度 0.70
• Deploying and Exploring OpenAI in Azure
  In this chapter, we will be deploying Azure OpenAI and interacting with the different LLM models. Azure also provides a user interface (UI) to experiment with the LLMs which we will explore. We will also be introducing additional parameters that can be used to…
  crossref Julian Soh, Priyanshi Singh 2024-11-18T19:29:05Z 置信度 0.70
• AI & robotics briefing: How AI images and videos could change science
  crossref Katrina Krämer 2024-03-13T15:04:14Z 置信度 0.70
• Message from the Program Chairs: AIxSET 2024
  Welcome to the Inaugural IEEE International Conferences of AIx Science, Engineering, and Technology (AIxSET). The conference will be co-located with AIx Business (AIxB) and AIx Humanities, Education, and Art (AIxHEArt). The format of the conference will be hyb…
  crossref 2024-12-03T18:55:24Z 置信度 0.70
• Personalized Health Optimization: An AI-Driven Approach
  crossref Sahaj Vaidya 2024-12-09T06:31:31Z 置信度 0.70
• 25 Climate Change and AI
  crossref 2024-08-01T13:21:24Z 置信度 0.70
• Strategic Forecasting: AI-Powered BI Techniques
  To understand how artificial intelligence can improve business intelligence, this research paper aims to establish how the two concepts can be combined for better BI strategic forecasting.Thus, the findings of this study, which covers the analysis of numerous …
  crossref Suman Chintala 2024-08-10T11:50:26Z 置信度 0.70
• Toward Open-Source AI Systems as Digital Public Goods: Definitions, Hopes and Challenges
  crossref Lea Gimpel 2024-10-10T17:02:05Z 置信度 0.70
• Author response for "Accelerating AI for science: open data science for science"
  crossref Neil D. Lawrence, Jessica Montgomery 2024-08-22T17:04:56Z 置信度 0.70
• 24 AI in Different Industries
  crossref 2024-08-01T13:21:24Z 置信度 0.70
• Using AI to Evaluate Multimodal Formative Assessments in Physical Science (Poster 5)
  crossref Tingting Li 2024-07-22T08:00:31Z 置信度 0.70
• A Study on User Surveys for Global Telemedicine AI Design
  This study began with the aim of addressing global healthcare challenges—aging populations, resource shortages, and regional disparities—by integrating artificial intelligence (AI) into telemedicine. The objective was to explore the application of AI-driven te…
  crossref Ai Deng, Seo Han Sok 2025-01-15T04:49:11Z 置信度 0.70
• The Disruptive Influence of Generative AI in Life Science and Healthcare
  3 Domain Consultant (Life Sciences and Healthcare -
  crossref Mihir Patel Rohit Malik 2024-05-13T09:31:45Z 置信度 0.70
• AI vs. AI: The Digital Duel Reshaping Fraud Detection
  In the evolving landscape of financial security, a new battlefront has emerged: synthetic identity fraud powered by Generative Artificial Intelligence (GAI). This paper examines the high-stakes digital duel between fraudsters wielding GAI and the adaptive defe…
  crossref Merlin Balamurugan 2024-11-07T09:22:13Z 置信度 0.70
• Utilizing NFT Technology and Generative AI for Deep Fake Detection and Media Authentication
  The proliferation of deep fake technology has raised significant concerns regarding the authenticity and integrity of digital media. This paper proposes a novel approach that leverages Non-Fungible Token (NFT) technology within blockchain combined with generat…
  crossref Saurabh Nandwani, David Alfred Ostrowski 2024-12-03T18:55:24Z 置信度 0.70
• Enhancing Educational Websites With AI Chatbots: Design Considerations for Safety
  Generative AI and Large Language Models provide an immense opportunity to add value to educational organizations and websites. However, a software engineering challenge exists to integrate GenAI while factoring in the requirements of educational sites. We desc…
  crossref Danika Gupta, Paul Burke, Vidya Phalke, Nimisha Khanduja 2024-12-03T18:55:24Z 置信度 0.70
• Data Science and AI in Context: Summary and Insights
  This article explores how to deploy data science and data-driven AI, focusing on the broad collection of considerations beyond those of statistics and machine learning. Building on an analysis rubric introduced in a 2022 textbook, Data Science in Context: Foun…
  crossref Alfred Spector 2024-06-14T21:31:11Z 置信度 0.70
• Efficient and robust sequential decision making algorithms
  Abstract Sequential decision‐making involves making informed decisions based on continuous interactions with a complex environment. This process is ubiquitous in various applications, including recommendation systems and clinical treatment design. My research …
  crossref Pan Xu 2024-09-23T05:24:16Z 置信度 0.70
• Innovative Supporting Approaches: Integrating Bibliotherapy, Psychodrama and AI as a Therapeutic Conversational Tool
  How can individuals deal with personal trauma or internal struggles more effectively?This is the main question of every existential crisis, closely linked with humankind's survival strategy.Finding new, innovative ways for practitioners to leverage therapeutic…
  crossref 2024-09-19T08:20:55Z 置信度 0.70
• Ai-Driven Anomaly Detection In Cloud Computing Environments
  crossref Chukwuemeka Nwachukwu 2024-12-09T06:31:31Z 置信度 0.70
• Harmonizing human-AI synergy: behavioral science in AI-integrated design
  Abstract This paper explores the role of integrating behavioral science to refine human-AI interaction, essential for ensuring safety and efficiency. Advocating for empathetic, user-centric design, the paper illustrates how behavioral insights can effectively …
  crossref Dirk Van Rooy, Kristof Vaes 2024-05-16T12:11:26Z 置信度 0.70
• The TILOS AI Institute: Integrating optimization and AI for chip design, networks, and robotics
  Abstract Optimization is a universal quest, reflecting the basic human need to do better . Improved optimizations of energy‐efficiency, safety, robustness, and other criteria in engineered systems would bring incalculable societal benefits. But, fundamental ch…
  crossref Andrew B. Kahng, Arya Mazumdar, Jodi Reeves, Yusu Wang 2024-02-20T18:17:13Z 置信度 0.70
• Reflection through interaction with digital twin AI in the Human-AI-Collaboration SECI Model
  The advancement of interactive generative AI, based on large language models (LLMs), has facilitated collaborative efforts between humans and AI across various tasks. Various applications of in-context learning for LLM-based generative AI have been discovered,…
  crossref Takashi Matsumoto, Ryu Nishikawa, Chikako Morimoto 2024-11-28T17:40:58Z 置信度 0.70
• AI for Scientists: Using Cognitive Task Analysis to Guide Scientific AI
  Advancements in artificial intelligence (AI) have the potential to fundamentally change how science is conducted. To ensure scientists can employ AI tools effectively, design should be grounded in a deep understanding of the work context. The current study pro…
  crossref Jessica Irons, Patrick Cooper, Melanie McGrath, Andreas Duenser 2024-10-29T18:42:39Z 置信度 0.70
• The AI Institute for Engaged Learning
  Abstract The EngageAI Institute focuses on AI‐driven narrative‐centered learning environments that create engaging story‐based problem‐solving experiences to support collaborative learning. The institute's research has three complementary strands. First, the i…
  crossref James Lester, Mohit Bansal, Gautam Biswas, Cindy Hmelo‐Silver 等 2024-02-14T10:04:02Z 置信度 0.70
• A Path to Human-Level AI through Computational Knowledge Science
  This paper addresses some critical issues still unresolved in AI. Among them, what is the essence of intelligence, what is knowledge, what is understanding and meaning, and how they can be computed, how to build AI that is capable of performing at a human leve…
  crossref Leonid Nisenboym 2024-08-12T15:41:46Z 置信度 0.70
• Learning about AI: A Systematic Review of Reviews on AI Literacy
  Given the ubiquity of artificial intelligence (AI), it is essential to empower students to become creators, designers, and producers of AI technologies, rather than limiting them to the role of informed consumers. To achieve this, learners need to be equipped …
  crossref Shan Zhang, Priyadharshini Ganapathy Prasad, Noah L Schroeder 2024-11-15T13:23:11Z 置信度 0.70
• AI for Predictive Maintenance in Industrial Systems
  Predictive Maintenance (PdM) has emerged as a transformative paradigm within industrial systems, addressing the inherent limitations of traditional reactive maintenance approaches. In today's hyper-connected and data-driven world, the integration of Artificial…
  crossref asad abbas 2024-01-29T00:00:46Z 置信度 0.70
• AI algorithms as (un)virtuous knowers
  The paper explores how well AI algorithms can fare with regards to intellectual virtues when compared to humans. That paper argues that If intellectual virtues are understood functionally as displaying behavior similar to human virtuous behavior, AI algorithms…
  crossref Hans Van Eyghen 2024-12-27T19:33:01Z 置信度 0.70
• The Use of AI by Election Campaigns
  The rapid development of artificial intelligence and especially large language models has now reached a stage, where generative AI is both powerful and accessible enough to be used at scale in election campaigns, at least in principle. In this paper, I outline…
  crossref Florian Foos 2024-05-24T07:26:01Z 置信度 0.70
• Recasting Chemical Engineering to Welcome AI
  Chemical Engineering, in particular fluid-handling technology, is governed by transport phenomena which for practical purposes present analytically intractable mathematical equations. Optimization then is best served through the emerging tool of artificial int…
  crossref Gideon Samid 2024-12-12T07:50:37Z 置信度 0.70
• Introduction to the Special Issue
  Abstract We briefly introduce this special issue and describe the scheme for the organization of the 20 articles in it.
  crossref Ashok Goel, Chaohua Ou 2024-02-13T12:29:32Z 置信度 0.70
• AI in Governance and Policy Making
  This comprehensive paper delves into the intricate landscape of Artificial Intelligence (AI) integration within governance and policymaking, assessing its potential transformative impact alongside ethical considerations. By emphasizing the imperative principle…
  crossref Ashish K Saxena 2024-06-03T12:18:01Z 置信度 0.70
• Ethical And Societal Implications Of AI In Science
  crossref عائشة بن فارح 2025-06-30T09:03:03Z 置信度 0.70
• New Frontiers in Science in the Era of AI
  This book explores historical and recent scientific advancements in Physics Astrophysics, Genetic Evolution, Neurosciences and Artificial Intelligence.
  crossref 2024-10-10T17:02:05Z 置信度 0.70
• Knowledge Graphs in AI-Driven Biomedical and Chemical Engineering: A Survey of Construction, Applications, and Future Directions
  Knowledge graphs have become a popular means of storing and exploring complex data across multiple disci-plines. This survey paper explores the foundational concepts and methodologies for constructing and utilizing knowledge graphs, with a particular focus on …
  crossref Asiyah Ahmad 2024-12-03T18:55:24Z 置信度 0.70
• Women in Data Science
  Die Beiträge des Sammelbandes behandeln Data Science in Wissenschaft und Politikberatung, die Analyse von geographischen Daten, Gender-Medizin, etc.
  crossref 2024-02-15T08:02:17Z 置信度 0.70
• Science, AI, and securing a sustainable future
  crossref Stefan Brunnhuber 2024-02-07T23:42:43Z 置信度 0.70