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• Agentic AI-Driven Forecasting for IT Projects
  AbstractTraditional IT project forecasting methods rely on siloed, retrospective data (e.g., Jira ticket histories), leaving teams unprepared for evolving risks such as shifting customer demands, accumulating technical debt, or new regulatory mandates. Studies…
  crossref William Zoltán Apró 2025-04-21T17:23:56Z 置信度 0.70
• Data-Driven Innovation for Trustworthy AI
  Global concerns over the trustworthiness of rapidly proliferating AI-centric artefacts have led to generic institutional recommendations for trustworthy AI, which are yet to be operationalised and integrated with design and innovation processes. We leverage th…
  crossref L. Siddharth, Jianxi Luo 2025-06-03T10:41:51Z 置信度 0.70
• Biomedical philanthropy promises dramatic expansion and AI focus
  Entering its second decade, the Chan Zuckerberg Initiative will make science the core mission for its founders’ billions
  crossref Jon Cohen 2025-11-06T19:03:06Z 置信度 0.70
• Requirements on Interpretation Tools for AI Systems
  This work formulates generic requirements on AI interpretation tools as alluded to in the European AI Act. Methods to quantify predictive uncertainties and methods referred to as so-called explainable AI may be considered examples of interpretation tools. The …
  crossref Stefan Haufe 2025-03-13T00:38:17Z 置信度 0.70
• Data-Driven Innovation for Trustworthy AI
  Global concerns over the trustworthiness of rapidly proliferating AI-centric artefacts have led to generic institutional recommendations for trustworthy AI, which are yet to be operationalised and integrated with design and innovation processes. We leverage th…
  crossref L. Siddharth, Jianxi Luo 2025-05-16T12:20:42Z 置信度 0.70
• Requirements on Interpretation Tools for AI Systems
  The purpose of this work is to collect generic high-level requirements on interpretation tools. These requirements aim to ensure that the deployer of an AI system can indeed use them to assess and assure the quality and proper functioning of the system. I argu…
  crossref Stefan Haufe 2025-03-06T19:35:26Z 置信度 0.70
• Review of: "Kepler: The Pioneer of Data Science and AI"
  crossref Konda Mani Saravanan 2025-07-10T07:01:06Z 置信度 0.70
• Data-Driven Innovation for Trustworthy AI
  Global concerns over the trustworthiness of rapidly proliferating AI-centric artefacts have led to generic institutional recommendations for trustworthy AI, which are yet to be operationalised and integrated with design and innovation processes. We leverage th…
  crossref L. Siddharth, Jianxi Luo 2025-06-30T20:33:46Z 置信度 0.70
• Accelerating sodium-ion electrode material development through AI-driven optimization and predictive modeling
  Sodium-ion batteries (SIBs) are gaining traction as a cost-effective and sustainable alternative to lithium-ion batteries for large-scale energy storage, due to sodium’s abundance, low cost, and safety advantages. However, the discovery of high-performance ele…
  crossref Sara Alzaabi, Ali Elkamel, Georgios N. Karanikolos, Ali Alhammadi 2025-07-02T04:13:41Z 置信度 0.70
• AI tools aim to speed up outbreak modeling
  DARPA program could help researchers build transparent, editable models of viral spread in days instead of weeks
  crossref Sarah Scoles 2025-12-11T19:01:35Z 置信度 0.70
• Research Insights on the Ethical Aspects of AI-Based Smart Learning Environments: Review on the Confluence of Academic Enterprises and AI
  Dramatic progress in the use of AI for the design of smart learning systems has undoubtedly enhanced the professional competence of students across the globe. However, the sudden access to unlimited autonomy has posed unprecedented risks to moral and ethical p…
  crossref Sini Raj Pulari, Shomona Gracia Jacob 2025-03-11T08:13:26Z 置信度 0.70
• States step up to democratize AI-tailored computers
  New York state is building AI-ready machines for researchers who lack access to federal or corporate supercomputers
  crossref Celina Zhao 2025-12-04T19:01:01Z 置信度 0.70
• An ELSI for AI: Learning from genetics to govern algorithms
  In the United States, the summer of 2025 will be remembered as artificial intelligence’s (AI’s) cruel summer—a season when the unheeded risks and dangers of AI became undeniably clear. Recent months have made visible the stakes of the unchecked use of AI: The …
  crossref Alondra Nelson 2025-09-11T18:00:56Z 置信度 0.70
• Data-Driven Innovation for Trustworthy AI
  The rapid integration of AI in products, services, and innovation processes has enabled transformative applications, raising global concerns about the trustworthiness of AI features and the corresponding development processes. In this paper, we provide a persp…
  crossref L. Siddharth, Jianxi Luo 2025-01-20T16:35:33Z 置信度 0.70
• Decision letter for "AI for social good"
  crossref 2025-06-11T04:10:52Z 置信度 0.70
• THE STRATEGIC IMPERATIVE: HR AS AN AI-DRIVEN BUSINESS PARTNER
  This paper proposes a conceptual framework to understand how Artificial Intelligence (AI) transforms Human Resource Management (HRM) into a strategic business partner. It outlines the key AI capabilities, strategic HR roles, and organisational enablers that su…
  crossref Dr. Sunitaa Tank 2025-07-23T03:59:12Z 置信度 0.70
• AI and Data Science in Sustainable Agriculture and Food Production
  This chapter explores the transformative role of AI and Data Science in sustainable agriculture, addressing critical challenges, enhancing productivity, and fostering environmental stewardship. It defines sustainable agriculture and its importance, highlightin…
  crossref Mayur Jariwala 2025-06-19T12:57:34Z 置信度 0.70
• Consulting in the AI era
  crossref 2025-12-18T04:34:02Z 置信度 0.70
• Multiagent AI Systems in Healthcare
  Multiagent AI systems represent a sophisticated solution to complex healthcare challenges by enabling coordinated action among autonomous agents. These systems can enhance diagnostic accuracy, optimize resource allocation, and support treatment planning throug…
  crossref Simrandzhit Kaur, Konstantin Koshechkin 2025-05-28T00:25:38Z 置信度 0.70
• How to Integrate Conscious AI into Society
  As artificial intelligence approaches consciousness, integrating conscious AI agents (CAI) into human society becomes an urgent challenge. This paper investigates four frameworks for such integration: Animal Welfare Protections, Legal Persons under a Human Dir…
  crossref Izak Tait 2025-03-05T05:38:46Z 置信度 0.70
• Evaluating AI-Generated Distractors in Programming Education: A Human-AI Collaborative Approach
  Multiple-choice questions (MCQs) serve as fundamental assessment tools in computing education, where high-quality distractors are critical for evaluating conceptual understanding and debugging skills.While large language models (LLMs) show promise in automatin…
  crossref Zifeng Liu, Bach Ngo, Wanli Xing 2025-07-30T10:37:03Z 置信度 0.70
• AI-Driven Inventory Forecasting in SAP ERP Systems
  AI-driven inventory forecasting is revolutionizing the way businesses manage and optimize their supply chains within SAP ERP systems. By integrating machine learning algorithms and predictive analytics, organizations can enhance their ability to forecast deman…
  crossref Betty Heleen 2025-07-26T06:39:39Z 置信度 0.70
• Far more authors use AI than admit it
  Study by cancer publisher highlights promise of AI detectors and the challenges they pose
  crossref Jeffrey Brainard 2025-09-18T18:00:32Z 置信度 0.70
• Cross-Chain AI Model Interoperability for Secure AI-as-a-Service
  Cross-chain interoperability represents a transformative paradigm for the secure, scalable delivery of AI-as-a-Service (AIaaS). Traditional blockchain-based AI marketplaces and inference platforms are constrained by single-ledger architectures, leading to frag…
  crossref 2025-11-09T21:09:31Z 置信度 0.70
• Using pseudo-AI submissions for detecting AI-generated code
  Introduction Generative AI tools can produce programming code that looks very similar to human-written code, which creates challenges in programming education. Students may use these tools inappropriately for their programming assignments, and there currently …
  crossref Shariq Bashir 2025-05-23T05:30:22Z 置信度 0.70
• Prompt engineering techniques for consistently relevant math-science conversations with an AI-powered student
  crossref Alex Barrett 2025-08-11T14:00:38Z 置信度 0.70
• AI aids in food manufacture
  crossref 2025-12-18T04:34:05Z 置信度 0.70
• The Second Renaissance
  Humanity is in a period of dramatic change—the risk of near-time impact from environmental degradation; political and socioeconomic challenges exacerbated by the manipulation of social media; and an interconnected, networked world where Artificial Intelligence…
  crossref Robert H. Hacker 2025-05-06T04:31:23Z 置信度 0.70
• The AI Empathy Choice Paradox: People Prefer Human Empathy Despite Rating AI Empathy Higher
  Recent advances in AI have enabled large language models to produce expressions that seem empathetic to human users, raising scientific and ethical questions about how people perceive and choose between human and AI sources of emotional support. Although an in…
  crossref Joshua D Wenger, Daryl Cameron, Michael Inzlicht 2025-08-02T02:24:03Z 置信度 0.70
• The AI Empathy Choice Paradox: People Prefer Human Empathy Despite Rating AI Empathy Higher
  Recent advances in AI have enabled large language models to produce expressions that seem empathetic to human users, raising scientific and ethical questions about how people perceive and choose between human and AI sources of emotional support. Although an in…
  crossref Joshua D Wenger, Daryl Cameron, Michael Inzlicht 2025-07-26T06:38:13Z 置信度 0.70
• Ethan Mollick. Co-Intelligence: Living and Working with AI MollickEthan. Co-Intelligence: Living and Working with AI. Portfolio, 2024. 256 pp. $30, hardcover.
  crossref Subrina Shen 2025-05-13T05:04:51Z 置信度 0.70
• AI Summit 2025 TOC
  crossref 2026-03-04T20:47:34Z 置信度 0.70
• Will AI Streamline ERP System Implementations in Enterprises?
  ERP system implementation projects in enterprises are inherently complex and often unsuccessful due to the time-consuming and expert-dependent phases of requirements elicitation, analysis, and parameterization. The specific objective of this study is to evalua…
  crossref Przemysław Plecka 2025-11-06T22:15:25Z 置信度 0.70
• Review of: "Kepler: The Pioneer of Data Science and AI"
  crossref Moisés Marinho Cavalcante 2025-07-10T17:43:45Z 置信度 0.70
• AI-Resistant Education: A Comprehensive Review of Strategies and Policies in the Era of Generative AI
  The rapid advancement of Large Language Models (LLMs) and generative artificial intelligence (AI) technologies has fundamentally challenged traditional educational paradigms, creating unprecedented concerns about academic integrity and authentic learning asses…
  crossref Tee Hui TEO, Dexter Chew 2025-12-20T06:25:51Z 置信度 0.70
• Adversarial AI Defense in Large Language Models & Generative AI
  The rapid growth of Large Language Models (LLMs) and generative AI models has enabled a suite of novel capabilities, including advanced analysis of natural language, code synthesis, creative content creation, and multimodal reasoning. Yet, this power brings wi…
  crossref 2025-09-18T08:23:53Z 置信度 0.70
• Chatbot-Powered User Support & Guidance: AI and Human-AI Collaboration
  The article examines the transformative impact of AI-powered chatbots on user support systems and human-AI collaboration frameworks.The article investigates the technical architecture, implementation considerations, and best practices for developing effective …
  crossref 2025-03-22T09:58:57Z 置信度 0.70
• Setting Up Your R Environment for Generative AI
  In today’s rapidly evolving landscape of data science and artificial intelligence, setting up a robust and versatile programming environment is foundational to success. R was initially developed for statistical analysis and has expanded into a powerful tool fo…
  crossref Akansha Singh, Krishna Kant Singh 2026-01-02T00:24:30Z 置信度 0.70
• The Rise of Autonomous AI Agents: Automating Complex Tasks
  The emergence of autonomous AI agents represents a transformative leap in the evolution of artificial intelligence. These intelligent systems, capable of independently perceiving environments, making decisions, learning from experience, and executing multi-ste…
  crossref Ai Zuo 2025-07-11T13:16:45Z 置信度 0.70
• Considerations on the environmental impact of AI in science
  This paper examines the environmental implications of applying artificial intelligence (AI) in scientific research. It serves as a primer for scientists, research institutions and science policy-makers who seek to understand various approaches to addressing th…
  crossref Denisse Albornoz, Natalia Norori 2025-09-09T13:11:06Z 置信度 0.70
• Index
  A absenteeism caused by adverse drug reactions, 110 chronic pain, 186 accelerated approval, regulatory issues, 212 Accelerated Approval Pathway, 213 accuracy, wearables, 30 acetaminophen, 197 acetylation, 243 administrative burdens, 213 ADRs (adverse drug reac…
  crossref 2025-09-19T21:19:28Z 置信度 0.70
• Ethicists flirt with AI for reviewing human research
  Large language models could help reduce backlog of study proposals, but critics are wary of entrusting ethics to machines
  crossref Celina Zhao 2025-09-25T18:01:26Z 置信度 0.70
• SORT-AI: A Projection-Based Structural Framework for AI Safety Alignment Stability, Drift Detection, and Scalable Oversight
  As artificial intelligence systems scale in depth, dimensionality, and internal coupling, their behavior becomes increasingly governed by deep compositional transformation chains rather than isolated functional components. Iterative projection, normalization, …
  crossref Gregor Herbert Wegener 2025-12-16T00:49:41Z 置信度 0.70
• A data science framework for AI-driven innovation within organizations
  Artificial Intelligence (AI) continues to redefine how organizations innovate, grow, and enhance productivity.However, successful AI adoption hinges not only on technology but also on the strategic integration of data within organizational ecosystems.This pape…
  crossref 2025-09-15T17:39:13Z 置信度 0.70
• Humanizing AI with Personality
  crossref Gulnara Z. Karimova 2025-02-10T18:08:48Z 置信度 0.70
• NextStep AI - AI Powered Smart Intelligence And Career Guidance Assistance Platform
  crossref S. P. Chokkalingam, Abi Ayshwariya S, Korra Hari Krishna 2026-07-01T19:35:23Z 置信度 0.70
• AI in Human Resources Management: Systematic Literature Review
  crossref Mimoza Sylejmani 2026-01-02T00:21:04Z 置信度 0.70
• AI in Optical Fiber Sensors and Sensing Network
  crossref Anamika Kumari, Vibha Vyas 2025-10-31T21:52:28Z 置信度 0.70
• Augmenting Financial Analysts with AI: Explainable AI for Trustworthy Financial Decision Support
  This article examines the integration of artificial intelligence in financial evaluation and the vital role of explainability in building trustworthy decision support systems. As AI transforms traditional financial evaluation from forecasting to portfolio mana…
  crossref Venkateswarlu Boggavarapu 2025-06-23T13:33:58Z 置信度 0.70
• Data Science and AI:  Everything Everywhere All at Once
  crossref Xiao-Li Meng 2025-01-30T21:14:47Z 置信度 0.70
• Emerging Applications of AI and Machine Learning in Nuclear Science and Engineering
  Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing the field of nuclear sciences by introducing advanced methods for reactor physics, nuclear data analysis, experimental design, and operational monitoring. Recent breakthroughs span the …
  crossref Shubham Bhorkade 2025-10-08T23:53:59Z 置信度 0.70
• AI-POWERED TEXT ANALYSIS SYSTEMS
  The article explores the development, principles, and applications of AI-powered text analysis systems as a response to the exponential growth of unstructured information in the modern digital environment.It outlines the historical trajectory from manual infor…
  crossref Liudmyla VLASIUK, Olga DEMYDENKO 2025-11-25T14:31:56Z 置信度 0.70
• Emerging Trends and Advanced Architectures in Generative AI
  In the evolving landscape of natural language generation, modern pipelines have progressed beyond standalone language models. Today’s advanced text generation systems leverage modular architectures to enhance factuality, coherence, and domain adaptation. One o…
  crossref Akansha Singh, Krishna Kant Singh 2026-01-02T00:20:06Z 置信度 0.70
• Analogy-Made Humanized AI
  This chapter delves into the architecture and principles of humanized AI (HAI), highlighting its capacity to replicate human cognition, learning, and behavior through adaptive and dynamic mechanisms. Unlike mainstream AI approaches that rely heavily on big dat…
  crossref Mark Chang 2025-08-27T15:15:28Z 置信度 0.70
• AI Literacy Under the AI Act: Tracing the Evolution of a Weakened Norm
  The European Artificial Intelligence (AI) Act introduces a provision on AI literacy in its Article 4. This concept aligns with broader efforts of the European Union (EU) to enhance workforce competencies in response to emerging technologies. Initially introduc…
  crossref Manuela Paolini e Silva, Aurelia Tamo-Larrieux, Odile Ammann 2025-01-16T20:21:37Z 置信度 0.70
• Applications of Generative AI in R: Case Studies
  Generative AI has opened new frontiers in data simulation and creative content generation across domains. In R, packages like keras and torch now enable building and training generative models for a variety of data types. This chapter explores five case studie…
  crossref Akansha Singh, Krishna Kant Singh 2026-01-02T00:30:26Z 置信度 0.70
• The AI Revolution in Business
  crossref Sareh Rotabi, Hyrije Abazi-Alili 2026-01-02T00:30:18Z 置信度 0.70
• Pathways to Responsible Use of AI at Work – An organizational change perspective
  crossref 2024-09-26T02:58:38Z 置信度 0.70
• Artificial Intelligence (AI)
  Abstract This chapter first provides a section on artificial intelligence (AI) in high risk systems, giving an overview over the current progress in standards relating to this topic. Next, a section addresses explainable AI (XAI) both as a technical concept an…
  crossref Thor Myklebust, Tor Stålhane, Dorthea Mathilde Kristin Vatn 2025-01-27T12:53:44Z 置信度 0.70
• Socratic Style Dialogue With AI Leading To Persistence Theory
  Socratic Style Dialogue With AI Leading To Persistence Theory
  crossref Bill Giannakopoulos 2025-04-02T20:33:05Z 置信度 0.70
• Automating Safety Stock Calculations Using AI in SAP Systems
  The increasing complexity of global supply chains has highlighted the need for more efficient and accurate methods of inventory management. Safety stock calculations, which act as a buffer against uncertainties in demand and supply, are critical for maintainin…
  crossref Betty Heleen 2025-07-26T06:42:18Z 置信度 0.70
• AI Powered Interview BOT Using Machine Learning
  crossref Akhila M, Preethi Thomas 2025-04-22T10:29:31Z 置信度 0.70
• “AI時代”の作物学研究 Crop Science in the “era of AI”
  crossref 佑 田中, 圭佑 桂 2025-08-09T22:08:11Z 置信度 0.70
• Enhancing Inventory Visibility with AI and SAP Analytics Cloud
  Enhancing inventory visibility is crucial for businesses aiming to optimize supply chain operations and improve decision-making processes. Leveraging Artificial Intelligence (AI) in conjunction with SAP Analytics Cloud offers a transformative approach to gaini…
  crossref Betty Heleen 2025-05-07T21:30:06Z 置信度 0.70
• AI-POWERED SECURITY FOR ZERO TRUST DATA ARCHITECTURE IN THE DIGITAL AGE.
  The old wall-around-the-network model has been surpassed by cloud platforms, distributed workforces, and on-demand services in the past ten years. Presenting Zero Trust Architecture, a strategy that divides traffic into constrained micro-neighborhoods, drastic…
  crossref Urvish Pandya 2025-07-22T07:25:53Z 置信度 0.70
• Self-Referential Logic and AI Consciousness: A Gödelian Approach
  Cogito (“I think, therefore I am”) demonstrates a different logical ontology than Tarski’s Undefinability Theorem, prohibiting deterministic Tarskian AI from natively digitizing consciousness. Addressing this gap, we first establish consistent self-reference i…
  crossref Arzhang Kamarei 2025-02-27T01:22:44Z 置信度 0.70
• Pack(ag)ing an AI punch
  crossref 2025-03-27T06:08:00Z 置信度 0.70
• Co-Designing the Edge and Cloud for Scalable and Secure AI Inference
  Modern AI services strain two resources at once: wide-area networks and privacy budgets. This keynote argues that we can no longer treat ''edge'' and ''cloud'' as loosely coupled tiers; we must co-design them as one system that jointly decides what to move, wh…
  crossref Mu Yuan 2025-12-08T16:23:22Z 置信度 0.70
• Validating AI-Generated Stimuli for Assessing Implicit Weight Bias
  Weight bias is a widespread societal issue that materializes as discriminative behaviours, attitudes, and stereotypes towards people with obesity, and has seen a significant increase since the early 2000s, reaching levels of prevalence compared to those of rac…
  crossref Matilde Tassinari 2025-07-21T19:27:34Z 置信度 0.70
• Demystifying AI
  As artificial intelligence advances at an exponential pace, understanding data science and machine learning has become increasingly essential. Yet, the wide range of available resources can be daunting, posing challenges for beginners. This second book builds …
  crossref Dothang Truong 2025-10-16T19:12:41Z 置信度 0.70
• AI-designed antibody candidates hit a crucial target
  Companies find enticing drug leads that bind to tricky cell membrane proteins
  crossref Robert F. Service 2025-05-29T14:36:07Z 置信度 0.70
• AI in Scholarly Publishing
  It seems like every other month I'm writing something about how AI is influencing operations at JFS. It has rapidly become an important factor in many facets of modern life, not just in scholarly publishing. While some would prefer to ignore it and just get on…
  crossref Richard Hartel 2025-11-08T05:49:37Z 置信度 0.70
• SARA AI: An AI-Powered Platform for Automated Course Creation
  SARA AI: An AI-Powered Platform for Automated Course Creation Althaf M.1*, Arafan Khan P.1, Rohan Reji Abraham1, Sharath A.1, Alpha Mathew1 Abstract The integration of Artificial Intelligence (AI) in e-learning has revolutionized the way educational content is…
  crossref M. Althaf 2025-06-27T10:28:01Z 置信度 0.70
• AI Assisted Programming (AISoLA 2025 Track Introduction)
  Abstract This is an introduction to the track ‘AI Assisted Programming’ (AIAP), organized at the third instance of the AISoLA conference during the period November 1–5, 2025. AISoLA as a whole aims to study opportunities and risks of late advances of AI. The m…
  crossref Wolfgang Ahrendt, Bernhard K. Aichernig, Klaus Havelund 2025-10-10T05:27:36Z 置信度 0.70
• 399 Generative AI in data analysis for animal science.
  Abstract The near ubiquity of large language models (LLM) and AI have made it difficult to escape the its use in every aspect of life. The animal sciences has recently accelerated the use of new technologies including AI for precision agriculture and the poten…
  crossref Michael Robben 2025-10-05T12:03:26Z 置信度 0.70
• Smart Cities, Smarter AI: Edge Defense That Adapts
  The IoT technology in urban areas has brought smart cities into use while the edge computing plays the base in handling nearby source data. This work examines how AI driven Anomaly detection improves significantly the security for Edge computing framework copr…
  crossref Robin Bisht 2025-03-20T01:14:06Z 置信度 0.70
• AI-Powered Supply Chain Management in SAP Cloud ERP
  Abstract:In recent years, artificial intelligence (AI) has emerged as a transformative force in optimizing business processes, particularly in supply chain management. With the integration of AI technologies into SAP Cloud ERP systems, organizations are now ab…
  crossref Betty Heleen 2025-04-18T16:59:20Z 置信度 0.70
• The limits of autonomy of AI systems in accounting
  The aim of this article is to define the acceptable boundaries for delegating decision-making competencies to AI-based systems in the field of accounting and to assess the degree of consistency and objectivity with which advanced language models carry out acco…
  crossref Maja Jaworska 2025-11-06T22:13:24Z 置信度 0.70
• AI drug development’s data problem
  The future of drug discovery may be artificial intelligence (AI), but its present is not. AI is in its infancy in the field. To help AI mature, developers need nonproprietary, open, large, high-quality datasets to train and validate models, managed by independ…
  crossref E. Richard Gold, Robert Cook-Deegan 2025-04-10T18:00:01Z 置信度 0.70
• DOE boost for AI, fusion could squeeze basic research
  Reorganization could shift mission of the largest U.S. funder of physical sciences
  crossref Adrian Cho 2025-12-04T19:01:01Z 置信度 0.70
• AI-Powered Document Summarizer Using Generative AI
  AI-Powered Document Summarizer Using Generative AI Authors- Harish Kesavan, Assistant Professor Dr. Kavitha Abstract-– The AI-Powered Document Summarizer is an advanced system designed to extract text from PDF and DOCX files and generate concise summaries usin…
  crossref Harish Kesavan 2025-05-13T10:23:40Z 置信度 0.70
• AI Mock Interview Chatbot Using Gen AI
  AI Mock Interview Chatbot Using Gen AI Authors- Mr.Madanachitran R, Austin A, Balaji K, Rajappan M Abstract-Job interviews are a critical component of the hiring process, but several interviewees struggle to articulate their skills. In this paper, we propose d…
  crossref Mr.Madanachitran R 2025-03-24T10:17:56Z 置信度 0.70
• AInstein: numerical Einstein metrics via machine learning
  A new semi-supervised machine learning package is introduced which successfully solves the Euclidean vacuum Einstein equations with a cosmological constant, without any symmetry assumptions. The model architecture contains subnetworks for each patch in the man…
  crossref Edward Hirst, Tancredi Schettini Gherardini, Alexander G Stapleton 2025-10-09T06:47:35Z 置信度 0.70
• AGRIBOT: A Smart AI Companion for Farmers
  Agriculture remains the backbone of many developing economies, yet farmers often face challenges in accessing timely, accurate, and personalized information for effective decision-making. AgriBot is a novel AI-powered chatbot designed to provide realtime agric…
  crossref Lijo Varghese, Sindhu Daniel 2025-04-26T12:12:47Z 置信度 0.70
• AI-Cure: Intelligenza Artificiale per Smart Building Sostenibili
  AI-Cure è la soluzione di Aivolution per la gestione intelligente dell’energia, progettata per supportare la Transizione 5.0 delle organizzazioni e il percorso dell’Europa verso la neutralità climatica. Basata su una tecnologia patent-pending di intelligenza a…
  crossref A. Pagliarani 2025-02-24T12:33:36Z 置信度 0.70
• Optimizing Supply Chain Efficiency with SAP Integrated AI Models
  The integration of Artificial Intelligence (AI) within the SAP ecosystem has the potential to revolutionize supply chain management by enhancing efficiency, reducing costs, and improving decision-making. This paper explores the utilization of SAP-integrated AI…
  crossref Betty Heleen 2025-07-26T06:39:41Z 置信度 0.70
• Optimizing Supply Chains with AI
  The fast growth of artificial intelligence (AI) and data science has had a profound influence on many industries including manufacturing. This study focuses on improving supply chains in the industrial industry, utilizing AI-driven approaches to reduce costs a…
  crossref D. Vanathi, Sudha Narang, Kumar R. G. Suresh, P. S. Ramesh 2025-08-08T15:43:51Z 置信度 0.70
• AI Literacy Under the AI Act: Tracing the Evolution of a Weakened Norm
  The European Artificial Intelligence Act introduces a provision on AI literacy in its Article 4. This concept aligns with broader efforts of the European Union to enhance workforce competencies in response to emerging technologies such as AI. Initially introdu…
  crossref Manuela Paolini e Silva, Aurelia Tamo-Larrieux, Odile Ammann 2025-06-04T15:55:29Z 置信度 0.70
• Computational Deliberation: The Science of AI-Human Symposia
  crossref Jamal Y. A. M. Altarkait 2025-10-22T14:47:50Z 置信度 0.70
• Supercapacitors
  crossref Frank R. Spellman 2025-11-13T00:54:46Z 置信度 0.70
• SKY AI: An AI-Powered Platform for Automated Content Creation
  SKY AI: An AI-Powered Platform for Automated Content Creation Varun Shetty1*, Karthik K. J.1, Sonu S. Varghese1, Yadhu Krishnan C. S.1, Linda Sebastian1 Abstract The growing demand for high-quality digital content presents challenges for creators who must cons…
  crossref Varun Shetty 2025-06-27T10:38:43Z 置信度 0.70
• AI Literacy Under the AI Act: Tracing the Evolution of a Weakened Norm
  The European Artificial Intelligence Act introduces a provision on AI literacy in its Article 4. This concept aligns with broader efforts of the European Union to enhance workforce competencies in response to emerging technologies such as AI. Initially introdu…
  crossref Manuela Paolini e Silva, Aurelia Tamo-Larrieux, Odile Ammann 2025-06-06T18:55:17Z 置信度 0.70
• Biotechnology
  Artificial intelligence (AI)-driven technologies are being used in some applications, but we have not even gotten to the edge of the possibilities of AI and machine learning (ML) for public health. Consider, for example, that AI technology can forecast trends …
  crossref Frank R. Spellman 2025-02-26T17:44:32Z 置信度 0.70
• Responsible AI in Organizational Decision-Making: A Conceptual Framework
  crossref Yashar Salamzadeh 2026-01-02T00:30:19Z 置信度 0.70
• AI for Performance Engineering and Performance Engineering for AI
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