Contemporary Artificial Intelligence (AI) systems require fluid, scalable, and intelligent data streams to facilitate real-time analytics, model training, and automated decision-making. Traditional data pipelines are frequently inflexible, labour-intensive,...
A lot has changed in the previous quarter of a century in the area of AIED, or Artificial Intelligence in Education. We ask ourselves, "What are our major strengths?" twice a year as we evaluate our achievements and plan for the future. Also, what kind of...
Artificial Intelligence (AI) is rapidly transforming modern healthcare, biomedical research, and pharmaceutical development by enabling the analysis of large and complex datasets. AI technologies, including machine learning (ML), natural language processing...
The transformative potential of artificial intelligence in healthcare has generated substantial enthusiasm among researchers, clinicians, and policymakers. AI applications in diagnosis, treatment, monitoring, and research promise significant benefits for...
Growing Internet of Things (IoT) networks incorporating artificial intelligence (AI) requires effective and highly reliable communication schemes to achieve high coverage low latency, and guaranteed performance. The problems presented by real-world...
The swift embrace of cloud computing has revolutionised organisational management of IT resources, requiring strong governance frameworks to tackle the complexities and hazards associated with cloud systems. This paper presents a complete governance...
A great deal of terminology pertaining to AI, ML, and deep learning is utilised extensively in today's corporate, healthcare, industrial, and military lexicons. No matter the size of the data, precise prediction and analysis are of the utmost importance in...
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...
The integration of Artificial Intelligence (AI) in contemporary software ecosystems transcends mere model correctness, necessitating the establishment and orchestration of robust, scalable backend infrastructures for seamless integration and deployment....
A rethinking of Quality Assurance (QA) procedures is necessary in the modern software development environment, where Agile and DevOps approaches prioritize continuous integration and quick delivery. Examining two crucial areas—test case design and test data...
A number of recent studies have identified Artificial Intelligence in Education (AIEd) as a promising new area of educational technology. Although it has been available for over 30 years, educators still don't completely understand how to use it for...
Vehicle automation signifies a novel safety paradigm that may require a reevaluation of current safety supervision frameworks. This white paper provides an overview of the technical and regulatory framework regarding the safety of autonomous driving systems...
The recent increase in the use of big data and analytics in various global industries has created pressure on industries to develop reliable and flexible frameworks for data governance. Historically used approaches can be ineffective in addressing the...
In the digital era, cloud computing has become integral to modern data storage and processing, offering scalability and cost-effectiveness. However, ensuring data integrity defined as the accuracy, consistency, and reliability of data—remains a critical...
The proliferation of artificial intelligence in healthcare has introduced transformative capabilities alongside complex ethical challenges requiring rigorous scholarly examination. This article provides a comprehensive ethical analysis of three...
The future of smart cities promises unprecedented efficiency, connectivity, and sustainability through advanced technologies such as the Internet of Things (IoT), artificial intelligence (AI), and big data analytics. However, as urban areas become...
Despite decades of study, the widespread use of ChatGPT and DALL-E has ignited a public discussion over the role of artificial intelligence (AI) in education. A plethora of research on AI-driven system design, deployment, and evaluation is available in the...
The exponential growth of data generated by digital platforms, enterprise systems, and emerging technologies has significantly increased the complexity of data governance within modern organizations. Data Governance Analysts are tasked with ensuring that...
The rapid proliferation of cloud infrastructures has transformed data management, enabling organizations to process, store, and analyse vast amounts of data with unprecedented efficiency. However, the reliability of data pipelines within these...
Artificial Intelligence (AI) data governance has become a critical component in ensuring the responsible, secure, and transparent deployment of AI systems across multiple domains. This article explores the implementation of AI data governance in supply...
Artificial intelligence is becoming part of public administration, critical services, transport, energy systems, and other forms of digital infrastructure. Yet many governance programmes still rely on broad commitments to fairness, transparency, privacy,...
More effective and efficient solutions may be possible with the help of AI's new possibilities for in-situ and real-time learning and teaching. Therefore, AI may have an effect on the ways in which humans and machines work together to learn and teach, as...
Artificial intelligence is transforming data governance by enabling organizations to better protect data, address regulatory requirements, and manage enterprise information within unified environments. In recent years, data volumes have increased...
Artificial Intelligence (AI) is presently incorporated into an assortment of fields, including medication. Human-made intelligence applications bring up various moral issues, mostly about the nature of care and patient-clinician connections. This article...
Applications of artificial intelligence (AI) have revolutionised healthcare. This study conducts a comprehensive literature review to elucidate the role of AI in healthcare, concentrating on the following key areas: (i) medical imaging and diagnostics, (ii)...
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