The integration of artificial intelligence into citizen science has created unprecedented opportunities for scientific discovery, but it has also introduced significant ethical challenges that must be addressed to protect participants, maintain trust, and...
Artificial intelligence depends on large and often high-dimensional datasets, creating privacy risks that are not fully addressed by conventional policy statements. Public agencies and infrastructure operators may process health records, mobility traces,...
While there is a lot of written about AI's great potential, no studies have looked at how well it improves patient safety during robot-assisted surgery (RAS). In accordance with the PRISMA 2020 declaration, a literature search was carried out using PubMed,...
Biodiversity conservation depends on accurate, timely, and comprehensive data on species distributions, populations, and ecological interactions. Citizen science has emerged as a powerful tool for biodiversity monitoring, mobilizing millions of volunteers...
The concept of artificial intelligence (AI) has a lengthy history. It has become evident that achieving human-level intelligence is more complex than initially expected. Presently, there is a resurgence of interest in AI, driven by a substantial...
The swift embrace of cloud computing has revolutionised contemporary enterprises, facilitating scalable, efficient, and adaptable operations. Nonetheless, it has also presented new security issues, especially in identity and access management (IAM)....
Pileup is a critical challenge in modern high-energy physics experiments, particularly at high-luminosity colliders where multiple particle interactions occur simultaneously within a single detector readout. These overlapping events introduce significant...
Computer vision has emerged as a transformative technology in citizen science, enabling automated analysis of images and videos at scales that would be impossible through human effort alone. This review examines the role of computer vision in citizen...
The integration of artificial intelligence into healthcare systems presents multifaceted technical and pedagogical challenges that require comprehensive multidisciplinary approaches. This article examines the practical obstacles encountered in AI...
Community Development Financial Institutions (CDFIs) now represent a $452 billion industry of 1,487 Treasury-certified institutions as of the first quarter of 2023, having grown rapidly, industry assets nearly tripled and the certified-institution count...
Artificial intelligence (AI) in the healthcare sector is attracting attention from researchers and healthcare practitioners. Prior study has been limited in examining this problem from a multidisciplinary perspective, including accounting, business and...
Higher education institutions are increasingly adopting data analytics to improve student outcomes, optimize financial planning, and enhance operational efficiency. Oracle Analytics offers a comprehensive suite of business intelligence tools that facilitate...
Cloud computing services have quickly proven to be one of the primary technologies that can meet the dynamic needs of an organization, regarding IT resources distribution. But the problem of efficient resource provisioning is still considered quite...
The integration of artificial intelligence into healthcare systems presents multifaceted technical and pedagogical challenges that require comprehensive multidisciplinary approaches. This article examines the practical obstacles encountered in AI...
Research on artificial intelligence in finance often reports model accuracy without explaining how institutional governance shapes real decision outcomes. This review examines the analytical relationship among artificial intelligence integration, data...
Metadata facilitates semantic interoperability, data reutilization, and effective information retrieval across diverse systems. Nonetheless, current research exhibits disjointed methodologies and fails to provide a unified perspective on the tactics...
While biodiversity monitoring has dominated the intersection of citizen science and machine learning, significant and instructive applications have emerged in astronomy and neuroscience. These domains offer unique insights into the integration of human and...
The researchers set out to determine how AI will change the face of classroom instruction. Study limitations included a focus on AI's impact on administration, education, and learning, as well as an evaluation approach derived from earlier research. In...
The rise of online education has had a profound impact on social mobility, offering new opportunities for individuals to improve their socioeconomic status through accessible and flexible learning options. This abstract explores how online education...
This paper investigates the use of artificial intelligence (AI) in metadata management in libraries, focusing on the problems, potential, and future improvements. Metadata is critical for organizing, managing, and retrieving library resources, and AI...
Growth Potential at the Crossroads of Artificial Intelligence, Robotics, and Synthetic Biology. Biomedical and bioengineering advancements are impeded by our incapacity to foretell how biological systems will act. We are unable to extrapolate behaviour on a...
Financial organisations increasingly use artificial intelligence to detect fraud, assess creditworthiness, forecast investment conditions, monitor portfolios, and automate regulatory reporting. This critical narrative review examines the decision...
Rule-based transaction monitoring systems remain the default anti-money-laundering (AML) control at most deposit-taking institutions, yet they are widely reported to generate false-positive alert rates in excess of 95 percent. For large banks this...
Machine Learning with Python (MLPY) has emerged as a cornerstone of modern data-driven research and intelligent system development. Python’s simplicity, extensive libraries, and strong community support make it one of the most widely adopted programming...
This paper introduces a data analytics-driven methodology for supplier onboarding and ERP-based compliance management that expedites qualification, enhances assurance, and reduces lifecycle risk. A standardized digital intake records identity, regulatory,...
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