Artificial intelligence

Artificial intelligence

Artificial Intelligence in Internationalizing Higher Education: A Conceptual Framework

Researchers at Higher Colleges of Technology have proposed a conceptual framework for leveraging artificial intelligence in internationalizing higher education, highlighting the potential for technological change in facilitating international collaborations, promoting student mobility, and supporting cross-cultural learning. The study calls for empirical research to strengthen its conceptual framework and emphasizes the

Artificial intelligence

Artificial Intelligence Research Reveals Insights into Self-Regulated Learning and Scaffolding

Researchers from Monash University in Clayton, Australia have conducted a field experiment to investigate the interplay between learning strategies and scaffolding in field settings. The study, published in Computers and Education: Artificial Intelligence, found that learning strategies can forecast learning performance, but neither fixed nor adaptive scaffolding individually proved effective

Artificial intelligence

Breakthrough in Artificial Intelligence: Researchers Develop Automated Pruning Framework for Large Language Models

Researchers from Kasetsart University have made a significant advancement in artificial intelligence by developing an automated pruning framework for large language models. The new framework uses combinatorial optimization to reduce the size of these models, making them more efficient and less resource-intensive. The study, published in the journal AI, demonstrates

Artificial intelligence

Neural Network-Aided NILM (NNAN) Disaggregation: Revealing Appliance Consumption Patterns

Researchers from the University of Haute Alsace have introduced a novel approach to decompose overall electricity consumption into individual appliance-level data using Neural Network-Aided NILM (NNAN). By employing Long Short-Term Memory (LSTM) and Convolutional Neural Networks (CNN) with inception blocks, the proposed architecture achieved significant improvements in disaggregation accuracy and