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• Invisible and Immortal: The Dead in Clinical-AI Data
  Clinical artificial intelligence (AI) is trained on coded electronic health record (EHR) and claims data. Survivorship and informative-censoring bias are recognised, but usually framed as analytic problems. We ask a prior, structural question: is death, the ou…
  crossref Florian Odi Stummer 2026-06-05T13:54:41Z 置信度 0.70
• The Missing Layer of Governance in Agentic AI
  Organizations and individuals increasingly delegate consequential action—email, iden-tity, payments, hiring, clinical triage—to autonomous AI agents supplied by many inde-pendent vendors. No vendor holds end-to-end visibility into the delegator's inte…
  crossref Rao Mikkilineni 2026-07-21T01:31:48Z 置信度 0.70
• Universities must act now to regulate AI-use in science
  Artificial Intelligence (AI) is rapidly gaining ground in science. Whereas the use of algorithms was until recently limited to a few specific fields, the availability of generative AI tools such as ChatGPT offers attractive possibilities for virtually all disc…
  crossref Laurens Hessels 2026-05-21T09:22:26Z 置信度 0.70
• Hack reveals reviewer identities for huge AI conference
  Software bug leads to exposure of peer-review records for 10,000 papers
  crossref Celina Zhao, Michael Greshko 2026-01-01T19:02:57Z 置信度 0.70
• Audit Trails and AI Transparency: Regulatory Compliance under the EU AI Act
  Audit trails serve as pivotal technical mechanisms for ensuring transparency and traceability, both of which are critical for compliance with the European Union's AI Act. This paper provides an analysis of the regulatory imperatives regarding operational trans…
  crossref Mara Grivokostopoulou, Athanasios Davalas, Maria Tsiogka 2026-03-12T05:17:32Z 置信度 0.70
• AI Model Forensics, Regulatory Compliance, and Security Governance
  crossref Muthu Ramachandran 2026-06-12T06:45:02Z 置信度 0.70
• Adaptive Scale Networks: Stable Self-Optimizing AI Models
  Large Language Models (LLMs) are typically deployed as static architectures, limiting their efficiency and adaptability. While dynamic methods like Mixture-of-Experts (MoE) and test-time adaptation promise task-specific gains, they often suffer from oscillator…
  crossref Archit Sood, Anurag Rana 2026-07-08T11:21:13Z 置信度 0.70
• Future Trends in AI and Polymer Science
  crossref Anjali Sharma, Romi Rajput, Vishnu Mittal, Devkant Sharma 2026-05-13T22:46:28Z 置信度 0.70
• CAREER IQ: A FULL-STACK AI CAREER COACHING SYSTEM USING GENERATIVE AI
  crossref 2026-04-15T11:03:44Z 置信度 0.70
• Scientific computing in an AI world
  Scientific computing must integrate AI with simulation and focus on energy-efficient methods and systems
  crossref Jack Dongarra, Daniel Reed, Dennis Gannon 2026-06-18T18:03:22Z 置信度 0.70
• Scoping the AI curriculum: key competencies for future AI practitioners
  Abstract The sustained interest in artificial intelligence (AI) as an area of postsecondary study is evident in growing enrollment figures and in expanded course offerings focusing on subjects like machine learning, natural language processing, and computer vi…
  crossref James Weichert, Hoda Eldardiry 2026-02-25T04:39:19Z 置信度 0.70
• Secrets AI Review 2026: Best AI Chat Platform or Better Alternatives?
  crossref Digi Best 2026-03-05T04:34:09Z 置信度 0.70
• AI may raise the bar and thin the pipeline
  In their Perspective “AI raises the productivity bar” (19 February, 10.1126/science.aef5239), L. Wu and B. Vasilescu (1) argue that artificial intelligence (AI) can increase productivity while rewarding workers who already possess strong evaluative and delegat…
  crossref Zhangxin (Frank) Liu 2026-06-18T18:03:22Z 置信度 0.70
• The Impact of Students' AI Usage Patterns on Self-Regulated Learning in AI-Assisted Peer Assessment
  crossref Wenyi Chen, Zehan Chen 2026-08-21T19:14:42Z 置信度 0.70
• Digital Vision-Based Theatrical Performance Trajectory Capture and AI-Assisted Intelligent Choreography Technology
  crossref Zhuo Liang 2026-07-08T19:40:41Z 置信度 0.70
• Designing Cost-Optimal Human-AI Workflows for Retrieval-Augmented Generation: Analytical Framework and Industrial Case Study
  As Retrieval-Augmented Generation (RAG) systems are increasingly integrated into high-stakes service operations, organizations struggle to balance the efficiency of automation with the risks of AI hallucination. This paper proposes an analytical cost-benefit f…
  crossref Jochen Wulf, Jürg Meierhofer, Manuel Dömer 2026-06-02T20:04:00Z 置信度 0.70
• Mapping micro-mobility risk: AI-powered geospatial analysis and predictive modelling
  crossref Ömer Kaya, Nuriye Kabakuş 2025-12-29T08:55:55Z 置信度 0.70
• Understanding the Effects of AI-Assisted Critical Thinking on Human-AI Decision Making
  Despite the growing prevalence of human-AI decision making, the human-AI team’s decision performance often remains suboptimal, partially due to insufficient examination of humans’ own reasoning. In this paper, we explore designing AI systems that directly anal…
  crossref Harry Yizhou Tian, Hasan Amin, Ming Yin 2026-04-13T09:47:11Z 置信度 0.70
• The Consent Gap in Ambient AI Scribes
  crossref Mnotho Ngcobo 2026-08-27T13:00:25Z 置信度 0.70
• Policy-Induced AI Talk–Walk Gaps and Stock Price Crash Risk: Evidence from China’s AI Pilot Zones
  crossref Chen WU, Zhiyong DONG 2026-08-29T06:26:08Z 置信度 0.70
• Retrieval Applications
  This case study explores the development of a retrieval augmented generation (RAG) application tailored for a recruitment agency to efficiently query a database of resumes. The application extends the ranking system from Chapter 6 by enabling natural language …
  crossref 2026-08-28T20:18:35Z 置信度 0.70
• Feeling iffy about generative AI: Investigating Audiences’ Trustworthiness Perceptions of Task-Specific AI disclosures
  News organisations are experimenting with how to best integrate generative AI into their journalistic workflows. This raises questions about how AI use should be disclosed and how such disclosures affect readers. Prior research shows predominantly negative eff…
  crossref Nicolas Michael Mattis, Kimon Kieslich, Claes de Vreese 2026-07-04T23:15:48Z 置信度 0.70
• 1. What is Generative AI?
  This part explains the nature of generative AI and its distinction from traditional AI systems. It describes how these tools create new content by identifying patterns and generating text, images, or other outputs. The section introduces common AI tools, their…
  crossref Dr. Anand Rao, Stefan Bauschard 2026-01-21T06:34:37Z 置信度 0.70
• Enhancing Arabic Speech Therapy with AI: A Specialized AI-Based System for Arabic Stuttering Classification
  The phenomenon of stuttering and its associated speech disorders disrupt fluency through repetition, prolongation, and delay, affecting millions of people. Although considerable progress has been made in artificial intelligence-based Automatic Speech Recogniti…
  crossref Hamad Alnamazi, Sultan Alamri, Huda Alrammah 2026-06-18T01:27:54Z 置信度 0.70
• Kink AI Review 2026: Is This Bold AI Companion Worth It?
  crossref kdsa bnwa 2026-03-05T10:33:10Z 置信度 0.70
• Why AI cannot do good science without humans
  crossref 2026-05-19T15:02:10Z 置信度 0.70
• 5. Generative AI Prompt Basics
  The final part introduces the principles of prompt engineering for generative AI. It explains how to construct effective prompts, refine them through iteration, and apply techniques ethically in academic contexts. Key elements that improve response quality are…
  crossref Dr. Anand Rao, Stefan Bauschard 2026-01-21T06:34:43Z 置信度 0.70
• AI-Based Insider Threat Detection in Organisations
  crossref Bukka Sai Vivek, Merugu Ruthvini, Komaravelli Sudheer Kumar 2026-07-08T19:40:41Z 置信度 0.70
• Future Directions and Emerging Threats in AI-Enabled Cybersecurity
  crossref Muthu Ramachandran 2026-06-10T07:35:32Z 置信度 0.70
• Generative AI, Emerging Technology, and Political Communication
  Numerous technological advancements are being made in the field of generative artificial intelligence (GenAI) as it relates to political campaigning and communication over social media. GenAI has been used for political endorsement and for translating candidat…
  crossref Gabrielle D. Beacken, Samuel Woolley 2026-02-03T20:00:27Z 置信度 0.70
• Grounding AI
  You are seeing a map — but not of streets or cities. This is a map of two million scientific papers about artificial intelligence, machine learning, and algorithms. Each dot is a paper. Each cluster is a conversation happening in science, right now, about how …
  crossref Mathieu Jacomy, Anders Kristian Munk 2026-05-29T12:44:21Z 置信度 0.70
• PERSONALIZED ENGLISH LEARNING WITH PASSION AND AI TOOLS
  crossref Vladyslav Shyliaiev, Liudmyla Kostina 2026-06-03T13:48:49Z 置信度 0.70
• Automated Analytics
  This study explores the application of language models in automating data analytics tasks, focusing on efficiency and consistency improvements. Language models are particularly effective for generating code for exploratory and single-use analytics, which often…
  crossref 2026-08-28T20:18:35Z 置信度 0.70
• Language Models
  The chapter examines the transformative impact of transformer neural networks on data science, focusing on their ability to learn deep semantic relationships from text data. It traces the evolution of language models from simple statistical models to complex s…
  crossref 2026-08-28T20:18:35Z 置信度 0.70
• 5th GeoAI Frontier forum: “AI advances in geosciences”, 21 March 2026
  crossref Lulu Zhang, Te Xiao 2026-08-03T16:07:56Z 置信度 0.70
• AI in Ayurvedic Clinical Research
  Background-Ancient Ayurveda text written by Acharya is based on “Divya Drishti” and fine observation. In present era, artificial intelligence can become researcher’s Divya Drishti and fine observations both. As there are more than 700 Ayurvedic colleges in Ind…
  crossref Alka Gupta 2026-07-12T22:43:40Z 置信度 0.70
• Global Governance and Collaborative Strategies for AI Cybersecurity
  crossref Muthu Ramachandran 2026-06-12T06:44:32Z 置信度 0.70
• Anticipating Wellness: AI-Driven Rhythmic Intelligence for Preventive Healthcare
  crossref Aishwarya Soni 2026-04-30T01:15:15Z 置信度 0.70
• AI agents, language, deep learning, and the next revolution in science
  Modern science is reaching a critical inflection point. Instruments across disciplines, from particle physics and astronomy to genomics and climate modeling, now produce data of such scale, diversity, and interdependence that traditional analytical methods can…
  crossref 2026-03-09T08:58:35Z 置信度 0.70
• Lotto Wins AI Review 2026: Can AI Really Predict Lottery Numbers?
  Lotto Wins AI Reviews: I Tried it for 90-Days -My Detailed Review!Lotto Wins AI is a newly released lottery prediction software program designed to generate personalized numbers for higher chances of prevailing. Powered with the aid of AI, this device analyzes…
  crossref FDB WWE 2026-04-25T07:28:16Z 置信度 0.70
• AI Skills for Responsible Use – Realistic learning environments, critical thinking, and role design in teams
  Artificial intelligence (AI) can increase productivity and work quality, but this requires a seamless interplay of individual and organizational skills.. This study investigates the effects of AI on team problem-solving behavior and derives implications for th…
  crossref 2026-02-24T21:31:31Z 置信度 0.70
• 4. AI and Critical Thinking
  This section focuses on applying critical thinking to AI-generated content. It presents techniques for identifying errors, verifying information, and analyzing outputs for bias, relevance, and accuracy. Strategies for evaluating text and images are discussed a…
  crossref Dr. Anand Rao, Stefan Bauschard 2026-01-21T06:34:44Z 置信度 0.70
• AI and Collective Data Governance in Crowdsourced Citizen Science: A Normative Framework Approach
  In this perspectives paper, the authors review key factors generating problematic oversight and participatory data governance gaps around AI/ML applications and the role of crowdsourced citizen science in addressing these gaps. Within this context, there are c…
  crossref Ann Borda, Bastian Greshake Tzovaras 2026-08-26T19:15:08Z 置信度 0.70
• New Advances in Exoplanet Science with JWST – The Hycean Paradigm
  The discoveries of thousands of extrasolar planets over the last three decades have revealed their ubiquity and diversity in physical characteristics. Exoplanets known today range from giant planets larger than Jupiter to rocky planets smaller than Earth over …
  crossref Nikku Madhusudhan 2025-12-03T12:01:16Z 置信度 0.70
• SynthWave AI Review – Is This the Best AI Tool in 2026?
  crossref Eden Curmi 2026-02-07T11:50:22Z 置信度 0.70
• Best AI Girl Creator Tools 2026: Generate Realistic AI Girls Fast
  crossref gdsan bvda 2026-03-06T11:06:05Z 置信度 0.70
• 3. AI Advantages and Challenges
  This part explores the key advantages and limitations of generative AI. It outlines methods for critical evaluation of AI-generated content, highlights issues such as bias, and considers environmental impacts. The section addresses risks including misinformati…
  crossref Dr. Anand Rao, Stefan Bauschard 2026-01-21T06:34:41Z 置信度 0.70
• AI and the Evolving Landscape of Social Science Research
  This chapter surveys how AI expands what social scientists can observe, analyze, and explain. It details the synergy between pervasive digital traces and algorithmic methods, highlighting how classifiers, embeddings, simulations, and generative models unlock i…
  crossref Łukasz Sułkowski, Marcin Lis, Sabina Ratajczak, Zdzisława Dacko-Pikiewicz 2026-06-16T15:26:22Z 置信度 0.70
• A Study on De-identification of Policing Data and the Use of AI
  인공지능(AI)을 활용한 치안 강화는 디지털화·지능화된 범죄에 대응하기 위한 핵심 전략으로 부상하고 있으나, 치안데이터가 피해자·피의자·신고자 등 민감한 개인정보를 집약적으로 포함한다는 점에서 원자료를 AI 학습데이터로 직접 활용하기 어렵다는 구조적 한계를 지닌다. 본 논문은 이러한 문제의식 아래, 치안데이터 비식별화와 가명처리의 이론적·법정책적 구조를 분석하고, AI 기반 치안정책 설계를 위한 거버넌스 모델을 제안하는 것을 목적으로 한다. 우선 비식별화·익명화…
  crossref Wook Kang 2026-07-10T01:41:23Z 置信度 0.70
• The Pillars of Trust in Life Science AI
  crossref Zhong Wang, Adrish Sannyasi, Jonathan Jiang 2026-04-15T22:42:49Z 置信度 0.70
• Foundations of AI, Machine Learning, and Data Science for Intelligent Systems
  The rapid advancements in Artificial Intelligence (AI), Machine Learning (ML), and Data Science have paved the way for the development of intelligent systems capable of solving complex, real-world problems. This chapter delves into the foundational concepts an…
  crossref T. Pramod Kumar, Shanid Malayil 2026-01-23T10:48:47Z 置信度 0.70
• Privee AI Review 2026 – Is This Premium AI Companion Worth It?
  crossref psaz khyva 2026-03-05T12:07:41Z 置信度 0.70
• Semantic Vectors
  This study examines the application of language models for semantic text representations, focusing on extracting semantic vectors for data science pipelines. The chapter discusses methods for obtaining these vectors from encoder and decoder models, including s…
  crossref 2026-08-28T20:18:35Z 置信度 0.70
• Modern Threat Landscape and AI Opportunities
  crossref Muthu Ramachandran 2026-06-10T07:37:02Z 置信度 0.70
• Higher education must bridge the AI gap
  Conversations abound about how artificial intelligence (AI) is changing the world. AI and its applications are advancing at a pace that outstrips regulatory and ethical frameworks. In the face of these challenges, higher education must develop students into fl…
  crossref Marie Lynn Miranda 2026-04-02T18:00:52Z 置信度 0.70
• AI and Ontology-based Real Estate Agent Recruiting
  This study emphasizes the importance of recruiting suitable real estate agents in a competitive market, as their expertise significantly influences service quality, customer satisfaction, and transaction success. The knowledge, experience, and expertise of an …
  crossref Mario Maroun 2026-07-08T15:38:52Z 置信度 0.70
• Doing Science in the Age of AI: Community Is Infrastructure
  In my earlier post on "doing science in the age of AI, when the system isn't built for you,". I argued that AI offers both opportunity and risk for researchers working in systems that were not built with them in mind. AI may help lower barriers to knowledge, t…
  crossref Seun Olufemi 2026-07-01T05:28:19Z 置信度 0.70
• The Researcher’s Journey in the Age of AI
  crossref Klaus Solberg Söilen 2026-05-25T15:30:04Z 置信度 0.70
• 2026 1st International Conference on AI, Data Science, Cyber Security and Smart Manufacturing for Sustainable Development (ICADCS)
  crossref 2026-07-08T19:42:16Z 置信度 0.70
• Department of Energy labs embrace Genesis AI push
  Their huge facilities, data flows, and computing resources are a natural fit for AI
  crossref Adrian Cho 2026-03-19T18:01:27Z 置信度 0.70
• FROM TECHNOLOGICAL TOOL TO COGNITIVE RESTRUCTURING: PARADIGM REVOLUTION IN LITERARY CRITICISM OF THE AI AGE
  This article examines the methodological transformation that AI’s entry into literary criticism has set in motion. This transformation proceeds along four interrelated dimensions—technological capacity, critical method, literary ontology, and paradigm formatio…
  crossref Zhenzhao Nie, Jie Ren 2026-04-01T23:52:57Z 置信度 0.70
• The Landscape of AI in Science Education: What Is Changing and How to Respond
  crossref Xiaoming Zhai, Kent Crippen 2026-05-14T00:03:23Z 置信度 0.70
• Related Titles
  crossref 2026-05-01T08:46:48Z 置信度 0.70
• Beyond Basic Literacy: Wiring Science Students for Rapid Technological Shifts via Self-Regulation and Collaborative AI Metacognition
  To thrive in today's rapidly shifting technological era, future professionals must possess strong adaptive capabilities. Consequently, this research models the mechanisms driving student adaptability, specifically analyzing the interplay of Digital Fluency (DF…
  crossref 2026-07-29T14:26:28Z 置信度 0.70
• Rethinking the economics of AI
  Economics needs to be rethought if it is to address the effects of artificial intelligence (AI) on work. In particular, rethinking is needed in the way that economics theorises the value of work. Economics needs to open up to new thinking and become more like …
  crossref David A. Spencer 2026-03-05T15:42:38Z 置信度 0.70
• AI – Friend or Foe?
  The Fact-or-Faux series addresses misinformation and science media literacy. Here, we ask whether AI can help in evaluating whether science-based claims should be trusted. How should students be taught how to use AI in a way that helps develop their critical c…
  crossref Jonathan Osborne 2026-08-25T20:10:52Z 置信度 0.70
• A narrowing window to understand AI
  As capabilities of artificial intelligence (AI) advance rapidly, human understanding of these systems is increasingly falling behind. Several trends are converging to make AI systems harder to understand just as they become more consequential. Without delibera…
  crossref Eric Horvitz, Robert West 2026-06-04T18:03:47Z 置信度 0.70
• AI Brute Force Cryptanalysis-An Underestimated Threat
  AI beats humans in chess, exceeds humans in language translation, drives more safely than most of us -- we better believe that it can brute-force analyze ciphertexts and extract from them the secret plaintext -- no matter how much math complexity is packed int…
  crossref Gideon Samid 2026-05-21T02:03:38Z 置信度 0.70
• AI finds legal loopholes, even when not asked
  Models repeatedly discovered ways to exploit regulations, and current safeguards largely failed to stop them
  crossref Celina Zhao 2026-06-18T18:03:22Z 置信度 0.70
• AI-Driven Secure IoT Application Development
  crossref Muthu Ramachandran 2026-06-12T06:41:48Z 置信度 0.70
• fghdhtdgh
  A ̳ i ̳ r ̳ ̳ P ̳ o ̳ r ̳ t ̳ u ̳ g ̳ a ̳ l ̳ ̳ B ̳ r ̳ a ̳ s ̳ i ̳ l ̳ ⟫Como falar com a TAP Portugal no Brasil?Para entrar em contato com a central oficial, disque o número (+𝟧𝟧)𝟨𝟣𝟥𝟣-𝟦𝟤𝟥𝟫-𝟪𝟫 para receber assistência imediata sobre seus voos inter…
  crossref yuu fghh, AI AI 2026-03-24T11:37:51Z 置信度 0.70
• New Cancer Immunotherapy and AI-Driven Drug Development
  Immune checkpoint drugs targeting effector T lymphocytes (such as PD-1 antibody therapies) have revolutionized cancer treatment. However, most tumor patients show limited responses to these drugs. The primary reason lies in the immunosuppressive tumor microenv…
  crossref Youhai Chen 2026-08-26T09:35:06Z 置信度 0.70
• AI has supercharged scientists—but may have shrunk science
  crossref 2026-01-14T16:00:26Z 置信度 0.70
• Hybrid AI to enhance science, engineering and technology
  This presentation revisits the genealogy, anatomy and physiology of digital twins, emphasizing the needs for advanced numerical technologies empowering the efficient solution of state-of-the-art physics-based models, while making use of recent data-driven tech…
  crossref Francisco Chinesta 2026-01-14T15:06:46Z 置信度 0.70
• Doing Science in the Age of AI: Community Is Infrastructure
  In my earlier post on "doing science in the age of AI, when the system isn't built for you,". I argued that AI offers both opportunity and risk for researchers working in systems that were not built with them in mind. AI may help lower barriers to knowledge, t…
  crossref Seun Olufemi 2026-07-01T05:28:56Z 置信度 0.70
• Digital Mayflies: Transient Personhood of AI Companions
  This paper examines the ontological and ethical status of Generative AI companions through a revised Minimal Viable Person (MVP) framework. Rather than residing within the foundational large language model or the post-training assistant persona, AI companions …
  crossref Izak Tait 2026-05-27T02:26:36Z 置信度 0.70
• How will we know if AI is smart enough to do science?
  New tests gauge whether large language models can use their troves of knowledge to actually make discoveries
  crossref Celina Zhao 2026-03-12T18:00:57Z 置信度 0.70
• Open Community Science: A collaborative Research Paradigm III. Community and AI
  crossref YU WANG 2026-04-23T06:07:51Z 置信度 0.70
• The Radiology AI Handbook
  crossref 2025-12-05T21:31:59Z 置信度 0.70
• Digital Competence of Educators in the Context of Generative AI Integration
  Resilience in challenging timesFor several decades the today so-called artificial intelligence, AI, was used in scientific and technology research helping scientists in their painstaking work of unveiling and explaining the "mysteries" of our world, contributi…
  crossref Oksana Sovhar 2026-08-06T19:36:27Z 置信度 0.70
• Biotechnology Meets Polymer Science: AI-Optimized Microbial Pathways for High-Performance Elastomer Production
  The convergence of biotechnology and polymer science is reshaping the landscape of sustainable elastomer production. Conventional elastomers, largely derived from petrochemical feedstocks, present environmental and supply chain challenges that necessitate alte…
  crossref 2026-03-02T10:14:51Z 置信度 0.70
• Risk assessment of human-AI conflict
  crossref He Wen 2026-06-05T12:30:57Z 置信度 0.70
• AI-Powered Security Operations and Automation
  crossref Muthu Ramachandran 2026-06-12T06:45:34Z 置信度 0.70
• Innovative Artificial Intelligence‐Assisted Systems for Social Science Research: Architecture Design and Applied Practice
  ABSTRACT The rapid advancement of large language model (LLM) technology is profoundly transforming the practice of social science research. Scholarly discussions on Artificial Intelligence (AI)'s role in social science research can be organised into three leve…
  crossref Jie Xiong 2026-05-07T03:41:12Z 置信度 0.70
• When AI lies to me: understanding user recognition, attribution, and response to AI hallucinations in human-AI interaction
  crossref Shu Fan, Xueqi Wang, Bingqian Zhang, Xiaobei Sun 2026-06-24T16:23:23Z 置信度 0.70
• Data Protection and Privacy in AI Systems
  crossref Muthu Ramachandran 2026-06-10T07:43:35Z 置信度 0.70
• Comparative Analysis of AI Models for Deepfake Detection in Multimedia Content
  crossref Chander Vesh 2026-07-08T19:40:41Z 置信度 0.70
• Developing a substantive grounded theory of generative artificial intelligence (GenAI) integration in science research instruction
  crossref Daniel Ong, Jayson Madayag 2026-08-04T19:24:54Z 置信度 0.70
• AI and Blockchain Integration for Cybersecurity
  crossref Muthu Ramachandran 2026-06-12T06:42:05Z 置信度 0.70
• AI Cybersecurity for Tackling LLM Security
  crossref Muthu Ramachandran 2026-06-12T06:44:14Z 置信度 0.70
• ORNIMETRICS: DESIGN AND EVALUATION OF AN AI-ENABLED SMART BIRD FEEDER FOR SPECIES RECOGNITION, WASTE REDUCTION, AND ECOLOGICAL MONITORING
  This project addresses ecological and sanitation challenges associated with traditional backyard bird feeders by developing Ornimetrics, an intelligent, AI-enabled feeding system. Using an embedded camera and YOLOv11-based species recognition, the feeder ident…
  crossref Baichen Yu, Tyler Boulom 2026-03-02T17:25:34Z 置信度 0.70
• Political AI
  crossref Niklas Lidströmer 2026-03-27T09:13:10Z 置信度 0.70
• Xem Phim "Ai Thương Ai Mến" (2026) Vietsub + Motchill
  crossref alpukat mentega 2026-03-05T05:59:11Z 置信度 0.70
• DECENTRALIZED AI SYSTEMS: DESIGN PARADIGMS AND SECURITY RISKS
  The integration of Artificial Intelligence (AI) with decentralized computing paradigms continues to expand progressively. As emerging technologies evolve, this concept opens opportunities for building distributed intelligent systems that operate independently …
  crossref Turan Jafar-zada 2026-07-22T10:35:37Z 置信度 0.70
• AI Algorithms for Data Privacy Protection for Investment Risks
  Due to the rapid development of the financial investment field and the increasing amount of data, the challenges of investment risk and data privacy protection have become more and more prominent. Although the traditional investment risk assessment method has …
  crossref Mingxiao Xu 2026-07-08T11:21:13Z 置信度 0.70
• AI and quantum now drive NSF grantmaking, officials say
  Leaders acknowledge White House role in recent controversial moves
  crossref Jeffrey Mervis 2026-03-05T19:01:12Z 置信度 0.70
• Can AI Be a Composer?: Characteristics of AI Composition Models and Their Aesthetic Implications
  최근 작곡 분야에서 활발한 활동을 하는 AI는 현대 예술음악의 관점에서 많은 궁금증과 시사점을 던져주고 있다. AI를 작곡가로 인정할 수 있을까? 무조음악으로 시작된 현대음악이 다양한 양상으로 전통에서 벗어난 새로운 양식과 미학을 보여준 것처럼, AI 작곡 모델은 현대음악의 흐름을 이어가고 있을까? 본 연구는 이러한 문제의식에서 출발하여 음악 창작의 분야에서 두각을 보인 AI 작곡 모델의 양상을 고찰하고, 21세기 현대음악 흐름의 시각에서 AI 음악이 도출하는 …
  crossref Hee Sook Oh 2026-05-08T01:36:17Z 置信度 0.70
• AI Tools in University Learning: Student Practices, Habits and Self-Reflection
  Resilience in challenging timesFor several decades the today so-called artificial intelligence, AI, was used in scientific and technology research helping scientists in their painstaking work of unveiling and explaining the "mysteries" of our world, contributi…
  crossref G. Yessen 2026-08-06T19:36:27Z 置信度 0.70
• AI for Science: Opportunities, Challenges, and Future Directions
  Artificial intelligence (AI) has lately emerged as a transformative force in scientific discovery, with skills in accelerating knowledge synthesis, automating experimentation, and enhancing interdisciplinary collaboration. As research challenges—ranging from c…
  crossref Valerie Fu 2026-01-02T08:50:45Z 置信度 0.70
• Index
  crossref 2026-08-28T20:18:35Z 置信度 0.70