Artificial Intelligence and Robotics Commons^™

Using Natural Language Processing To Identify Mental Health Indicators In Aviation Voluntary Safety Reports, Michael Sawyer, Katherine Berry, Amelia Kinsella, R Jordan Hinson, Edward Bynum

National Training Aircraft Symposium (NTAS)

Voluntary Safety Reporting Programs (VSRPs) are a critical tool in the aviation industry for monitoring safety issues observed by the frontline workforce. While VSRPs primarily focus on operational safety, report narratives often describe factors such as fatigue, workload, culture, staffing, and health, directly or indirectly impacting mental health. These reports can provide individual and organizational insights into aviation personnel's physical and psychological well-being. This poster introduces the AVIation Analytic Neural network for Safety events (AVIAN-S) model as a potential tool to extract and monitor these insights. AVIAN-S is a novel machine-learning model that leverages natural language processing (NLP) to analyze …

Public Acceptance Of Using Artificial Intelligence-Assisted Weight Management Apps In High-Income Southeast Asian Adults With Overweight And Obesity: A Cross-Sectional Study, Han Shi Jocelyn Chew, Palakorn Achananuparp, Palakorn Achananuparp, Nicholas W. S. Chew, Yip Han Chin, Yujia Gao, Bok Yan Jimmy So, Asim Shabbir, Ee-Peng Lim, Kee Yuan Ngiam

Research Collection School Of Computing and Information Systems

Introduction: With in increase in interest to incorporate artificial intelligence (AI) into weight management programs, we aimed to examine user perceptions of AI-based mobile apps for weight management in adults with overweight and obesity. Methods: 280 participants were recruited between May and November 2022. Participants completed a questionnaire on sociodemographic profiles, Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), and Self-Regulation of Eating Behavior Questionnaire. Structural equation modeling was performed using R. Model fit was tested using maximum-likelihood generalized unweighted least squares. Associations between influencing factors were analyzed using correlation and linear regression. Results: 271 participant responses were …

Anthropomorphism And Human-Robot Interaction, Rae Yule Kim

Department of Economics Faculty Scholarship and Creative Works

Exploring how human appreciation for and interactions with robots are influenced by anthropomorphic features.

Bioprocess Engineering And Intelligent Biomanufacturing, Guan Wang, Yingping Zhuang

Bulletin of Chinese Academy of Sciences (Chinese Version)

In the era of rapid development of synthetic biology, biomanufacturing, as a bridge between life sciences and engineering technologies, is gradually demonstrating its extraordinary potential to reshape industrial landscapes. However, challenges such as production efficiency, cost control, and process monitoring still hinder the smooth transition from laboratory innovations to industrial-scale implementation. Intelligent biomanufacturing has emerged as a new form of productive force, offering innovative solutions to these problems. This study reviews the latest advances in bioprocess engineering and intelligent biomanufacturing, focusing on three key technological systems: intelligent sensing, intelligent analysis, and intelligent control. Intelligent sensing technology acts as the “eyes” …

Analysis And Reflections On Key Platform Facilities Construction Of Global Biomanufacturing Industry, Xiaoyan Wu, Fang Chen, Yaoying Shan, Anjing Lu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Biomanufacturing, an emerging production method, is becoming a significant trend in global economic development and has garnered widespread international attention. Platform facilities are vital to the biomanufacturing industry’s development, serving as both the foundation for technological innovation and the bridge between research outcomes and practical applications. This study analyzes three key types of platform facilities and their operational mechanisms: technology innovation platforms (exemplified by the U.S. Agile BioFoundry), pilot-scale platforms (represented by European Bio Base Europe Pilot Plant), and industry incubation platforms (illustrated by the UK SynbiCITE). Drawing from these successful examples and examining China’s current platform infrastructure, this paper …

Artificial Intelligence Driven Information Technology System Restructuring And Reconstruction—Review Of Information Science & Technology In China: A Roadmap To 2050, Xuehai Hong

Bulletin of Chinese Academy of Sciences (Chinese Version)

The Information Science & Technology in China: A Roadmap to 2050 and Information Technology: Accelerating the Integration of Human Machine Things have predicted the long-term development of China’s information technology field. This study reviews the development and changes in the field of information technology in the past 15 years, and compares them with the initial predictions, pointing out that some important judgments made at the beginning were in line with expectations. In recent years, the global development of information technology has entered a slow period, while the rapid evolution of the new generation of artificial intelligence will bring new opportunities …

Ai Helps To Establish A New Paradigm For Scientific Research, Weinan E

Bulletin of Chinese Academy of Sciences (Chinese Version)

The main purpose of scientific research is to discover fundamental principles and solve practical problems. Although tremendous progress has been made on both fronts, the lack of effective tools and efficient organizational structure still stands as the main bottleneck for scientific progress. The rapid development of artificial intelligence (AI) offers a new possibility. In recent years, deep learning has had an impressive performance, both in helping to solve fundamental scientific problems and in improving the effectiveness of scientific research tools. A new set of infrastructure is emerging, leading us to a new paradigm, the“Android paradigm”, for doing scientific research.

Ai4r: The Fifth Scientific Research Paradigm, Guojie Li

Bulletin of Chinese Academy of Sciences (Chinese Version)

This article refers to “AI for Research（AI4R）” as the fifth research paradigm and summarizes its characteristics, including: (1) the fully integration of artificial intelligence into various scientific and technology researches; (2) machine intelligence has become an integral part of scientific research; (3) effectively handles the combinatorial explosion problem with high computational complexity; (4) probability and statistical models play a greater role in scientific research; (5) realize the integration of four existing research paradigms, cross disciplinary cooperation has become the mainstream research method; (6) scientific research relies more on large research platforms characterized by large models. This article points out that …

Digital Scientists And Parallel Sciences: The Origin And Goal Of Ai For Science And Science For Ai, Feiyue Wang, Yutong Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Based on recent development in foundation model, parallel intelligence, decentralized science (DeSci), and other artificial intelligence (AI) technologies, from AI for Science (AI4S) to Science for AI (S4AI), this study discusses parallel sciences and digital scientists, and their impact and significance in paradigm shift for research and development as well as Industry 5.0 and intelligent industry, which demonstrate that paradigm shift is emerging and accelerating, and we must be prepared.

Computing System For Simulation Intelligence, Guangming Tan, Weile Jia, Zhan Wang, Guojun Yuan, En Shao, Ninghui Sun

Bulletin of Chinese Academy of Sciences (Chinese Version)

This study refers computer simulation in scientific research to as scientific simulation. Based on its narrow and broad definitions, this study divides scientific simulation into three stages: numerical computation, simulation intelligence, and science brain. Now, scientific simulation is entering the era of simulation intelligence, i. e., driven by scientific big data and artificial intelligence technology, scientific simulation is shifting from traditional numerical simulation to simulation integrated with artificial intelligence. In order to understand what the right computing system for simulation intelligence is, the design guidelines, basic methods, and key technical problems are discussed.

Large Model-Driven, Human-Computer Collaborative Robotic Ai-Chemist Cloud Facility, Yuanyuan Chong, Shuo Feng, Song Wang, Jun Jiang

Bulletin of Chinese Academy of Sciences (Chinese Version)

At present, chemical science is facing unprecedented opportunities and challenges due to the technological changes brought by artificial intelligence. In order to promote the paradigm shift in chemical research, this study proposes the construction plan of the robotic AI-chemist cloud facility. This system realizes a new paradigm of scientific research by collecting multi-channel data to build a database, developing large scientific models enhanced by chemical knowledge, constructing clusters of robotic facilities, and building an intelligent management decision system, which will dramatically improve the efficiency of scientific research and solve scientific problems in terminal applications. This infrastructure is expected to change …

A New Paradigm Of Life Science Research Driven By Artificial Intelligence, Xin Li, Hanchao Yu

Bulletin of Chinese Academy of Sciences (Chinese Version)

The rapid development of biotechnology and information technology has brought life sciences into a new era of data explosion. The traditional life science research paradigm struggles to reveal the fundamental rules of complex biological systems from rapidly growing biological big data. As artificial intelligence continues to achieve disruptive breakthroughs in life science, a new paradigm driven by AI is emerging. This study delves into typical examples of life science research driven by AI, proposes the concept and key elements of the new life science research paradigm, elaborates on the cutting-edge of life science research under this new paradigm, and discusses …

Ai For Technology: Applied Practices And Future Perspectives Of Technological Intelligence In High Tech Areas, Yunji Chen, Qi Guo

Bulletin of Chinese Academy of Sciences (Chinese Version)

As the core of the fifth research paradigm, AI for Science has been widely used in multiple research fields of natural sciences and high technologies. In contrast to that the application of AI in natural sciences mainly focuses on discovering new theories, principles, and laws, the application of AI in high technologies mainly focuses on creating new plans, tools, and products, in order to resolve concrete problems in related fields. This study first summarizes the typical characteristics and scientific problems of the application of AI in high technologies, i.e., AI for Technology, and then introduces a successful case study of …

Building New Paradigm Of Digital Intelligence Security For New Development Pattern, Xiaoguang Yang, Yang Wu, Xingwei Zhang, Xiaolong Zheng

Bulletin of Chinese Academy of Sciences (Chinese Version)

After the 20th National Congress of the Communist Party of China, China has entered a new era of development. Simultaneously, the rapid advancement and extensive application of artificial intelligent technologies have activated a new wave of economic potential and brought about new security challenges to socioeconomic development. This study firstly analyzes the characteristics of the new development pattern in global contexts, and examines the risks and challenges of digital intelligence security (DIS) under the new pattern, encompassing technological security and personal security at the micro-level, as well as economic security, social security, and cultural security at the macro-level. Based on …

Ai For Science: Ai Enabled Scientific Facility Transforms Fundamental Research, Xiaokang Yang, Yanyan Xu, Lu Chen, Yunbo Wang, Yue Gao, Jidong Tian, Kai Yu, Yaohui Jin, Hong Mei

Bulletin of Chinese Academy of Sciences (Chinese Version)

In recent years, artificial intelligence (AI) has achieved numerous disruptive breakthroughs in frontier scientific and technological fields, such as AlphaFold2 for protein structure prediction, intelligent control of nuclear fusion, and drug design for COVID-19. These achievements indicate that AI for Science is becoming a new paradigm in research. To achieve fundamental scientific innovation and major technological breakthroughs in the era of intelligence, two core issues should be addressed: 1) how to harness the generality and creativity of the new-generation of AI, especially generative AI and large language models (LLMs), to promote the formation of new paradigms; 2) how to empower …

Strategic Research On Information Technology Promoting National Governance Modernization—Review On The S70th Xiangshan Science Conferences, Chao Zhang, Weiyu Duan, Kaihua Chen, Xiaoguang Yang, Yuntao Long

Bulletin of Chinese Academy of Sciences (Chinese Version)

This study systematically summarizes the reports and speeches of the S70th Xiangshan Science Conferences on the theme of “Strategic Research on Information Technology Promoting the National Governance Modernization” and summarizes the consensus of the conference in the following three aspects. (1) Important progress and achievements have been made in the four typical areas, i.e., smart justice, internet governance, data governance, and emergency management. (2) Using information technology to promote the modernization of national governance is confronted with unprecedented opportunities and challenges. And (3) it is necessary to take a series of effective measures to promote information technology to facilitate the …

Meet Scite, “Chatgpt For Research”, A New Artificial Intelligence (Ai) Tool Available Via Clemson Libraries, Jennifer Groff, Shelby Carroll

Clemson Teaching Excellence Conference 2024: Teaching in the Age of AI

No abstract provided.

Crafting Effective Prompts: Leveraging Generative Ai In Libraries, April Sheppard, Kristin Flachsbart

Staff and Faculty Scholarship

Discover how strategic prompt design can help you harness the power of generative artificial intelligence (AI) in your library. Through a series of examples, the presenters will demonstrate the impact that well-crafted prompts can have on the quality and relevance of AI-generated outputs.

A Comparison Of Machine Learning Surrogate Models Of Street-Scale Flooding In Norfolk, Virginia, Diana Mcspadden, Steven Goldenberg, Binata Roy, Malachi Schram, Jonathan L. Goodall, Heather Richter

Community & Environmental Health Faculty Publications

Low-lying coastal cities, exemplified by Norfolk, Virginia, face the challenge of street flooding caused by rainfall and tides, which strain transportation and sewer systems and can lead to personal and property damage. While high-fidelity, physics-based simulations provide accurate predictions of urban pluvial flooding, their computational complexity renders them unsuitable for real-time applications. Using data from Norfolk rainfall events between 2016 and 2018, this study compares the performance of a previous surrogate model based on a random forest algorithm with two deep learning models: Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU). The comparison of deep learning to the random …

Developing Policies For The Ethical Use Of Artificial Intelligence In Higher Education And Libraries, April Sheppard, Matthew Mayton

Staff and Faculty Scholarship

This presentation will provide sample artificial intelligence policy language from various higher education institutions and academic libraries. Topics covered will include the acceptable use of AI in the classroom, the role of faculty in making AI-related decisions, syllabus statements, AI use and detection, AI literacy, and library policies regarding AI. Participants will be able to compare and contrast policies to help them develop their own policies that work for their unique organization.

Using Ai For Qualitative Labeling: Consistency And Comparisons, James Mcintyre

Honors Program Theses

This paper details a research study evaluating AI's ability to perform qualitative deductive coding. Multiple AI models were utilized and compared against three human coders and one expert coder. A series of 107 statements were sourced from a group discussion for a qualitative impact assessment of an organization. The AI models were provided these statements and directed to code them using the Community Capitals Framework. Two generations of AI models were evaluated. Overall, the AI achieved a fair level of agreement with the human annotators, but the alignment was far from perfect. Newer AI models did not increase agreement with …

Using Ai For Qualitative Labeling: Consistency And Comparisons, James Temple

Honors Program Theses

This paper continues research that evaluates the capacity of artificial intelligence (AI) to perform qualitative coding tasks. The previous study found that AI models lacked consistency with themselves and did not agree with human coded data. Since that study, AI’s general level of intelligence has increased. Hence, this study re-evaluates how well the newest set of AI models (Claude 3 and Gemini) can perform qualitative coding tasks. When tested, the new AI models perform about the same or better than previous models depending on the metric tested. While Gemini and Claude 3 do not agree with human output any more …

Enhancing Cross-Modal Contextual Congruence For Crowdfunding Success Using Knowledge-Infused Learning, Trilok Padhi, Ugur Kursuncu, Yaman Kumar, Valerie L. Shalin, Lane Peterson Fronczek

Psychology Faculty Publications

The digital landscape continually evolves with multimodality, enriching the online experience for users. Creators and marketers aim to weave subtle contextual cues from various modalities into congruent content to engage users with a harmonious message. This interplay of multimodal cues is often a crucial factor in attracting users' attention. However, this richness of multimodality presents a challenge to computational modeling, as the semantic contextual cues spanning across modalities need to be unified to capture the true holistic meaning of the multimodal content. This contextual meaning is critical in attracting user engagement as it conveys the intended message of the brand …

Review Of How Ai Works: From Sorcery To Science, By Ronald T. Kneusel, Taylor J. Greene

Library Articles and Research

A review of How AI Works: From Sorcery to Science, by Ronald T. Kneusel.

Road Extraction On Remote Sensing Imagery: Historical Mapping Of The Brazilian Amazon, Jonas Paiva Botelho Jr

Graduate Theses/Dissertations

This work proposes an artificial intelligence model based on U-Net architecture to map road networks in the Brazilian Amazon. Over the years, the Amazon region has been heavily exploited, leading to increased deforestation rates, contributing to CO2 emissions, amplifying global warming, and causing a disturbance in local fauna and flora. The expansion into the forest by illegal miners, loggers, and land grabbers can be tracked down by the construction of roads, which we can refer to as the arteries of deforestation. Previous works on the matter proposed algorithms that use high-resolution imagery to map roads precisely. However, this work approach …

Artificial Intelligence And News Consumption: A Study Of Trust, Credibility And Transparency In Automated Journalism, Julia Lobo Paes

Dissertations and Theses

According to Gallup poll (2023), over the last 50 years there has been a decline in how much Americans trust mass media. While in the 1970’s 72% of the population responded that they trust the media a 'great deal/fair amount', this number dropped to 34% in 2023. Given the decreasing public trust in news, this thesis focused particularly on analyzing trust in the organization, trust in the news story and perceived credibility in AI generative content. In addition to articles created by AI, this study also aimed to analyze how the public perceives information that has been personalized and distributed …

Review Of Who Wrote This?: How Ai And The Lure Of Efficiency Threaten Human Writing, By Naomi S. Baron, Taylor J. Greene

Library Articles and Research

A review of Who Wrote This?: How AI and the Lure of Efficiency Threaten Human Writing, by Naomi S. Baron.

Content Moderation On Social Media: Social And Computational Standards And Implications, Mohit Singhal

Computer Science and Engineering Dissertations - Archive

Social media has become a powerful tool that reflects human communication's best and worst aspects. They allow individuals to freely express opinions, communicate with others, and learn about new stories. On the other hand, they have become fertile grounds for several forms of abuse, harassment, and the dissemination of misinformation. Social media platforms have established and employed content moderation to counteract the spread of abuse and misinformation.

Some critical challenges hinder the understanding of the social media content moderation ecosystem. This dissertation investigates various aspects of content moderation, including their coverage, fairness, and effectiveness. Firstly, it investigates how, in practice, …

Topic Mining And Dynamic Evolution Analysis Of Patent Technology From The Perspective Of Binary Evolution：Take The Field Of Industrial Robots As An Example, Luyao Dou, Zhigang Zhou, Yi Li, Tao Jiang

Journal of Scientific Information Research

[Purpose/significance]From the perspective of "overall ecology + local stage", mining the technical theme and its evolution law in the field of industrial robots can not only know the overall process of technological development, but also clarify the specific paradigm of technology combination, which has important practical significance for insight into the technological progress and capital investment focus in the field of industrial robots.[Method/process]Based on incoPat patent database, taking the industrial robot field from 2003 to 2022 as an example, combined with Word2vec word vector model and LDA topic model, data mining and corpus expansion of patent texts were carried out, …

Identifying Patterns For Neurological Disabilities By Integrating Discrete Wavelet Transform And Visualization, Soo Yeon Ji, Sampath Jayarathna, Anne M. Perrotti, Katrina Kardiasmenos, Dong Hyun Jeong

Computer Science Faculty Publications

Neurological disabilities cause diverse health and mental challenges, impacting quality of life and imposing financial burdens on both the individuals diagnosed with these conditions and their caregivers. Abnormal brain activity, stemming from malfunctions in the human nervous system, characterizes neurological disorders. Therefore, the early identification of these abnormalities is crucial for devising suitable treatments and interventions aimed at promoting and sustaining quality of life. Electroencephalogram (EEG), a non-invasive method for monitoring brain activity, is frequently employed to detect abnormal brain activity in neurological and mental disorders. This study introduces an approach that extends the understanding and identification of neurological disabilities …