Machine learning
Alternative labels
Neural network modelling
Artificial neural networks
Deep learning
Large language model (LLM)
Discussion paper
Artificial intelligence, ethics, equity and higher education: a ‘beginning-of-the-discussion’ paper
The intention of the paper is to equip stakeholders with talking points to prompt informed and sustained dialogue on how artificial intelligence (AI) might be used for good, and for what it’s good for, and importantly, to consider where it should not be used at all. The paper provides an introduction to AI and its...
Journal article
Neuro-fuzzy systems in construction engineering and management research
Neuro-fuzzy systems (NFS) can explicitly represent and model the input–output relationships of complex problems and non-linear systems, like those inherent in real-world construction engineering and management (CEM) problems. This paper contributes three things previously lacking in CEM literature.
Report
Machine learning and libraries: a report on the state of the field
This report expertly frames machine learning and both its possibilities and its challenges. After defining machine learning and distinguishing it from the broader category of artificial intelligence (AI), the author describes the history of the use of these technologies in libraries and explores various approaches.
Report
Open content activities in libraries: same direction, different trajectories
This report synthesises findings from the 2018-19 Global Council survey on current and future planned open content activities for a global cohort of research and university libraries.
Report
Combining crowds and machines
New technologies, including artificial intelligence (AI), allow us to mobilise human intelligence in new ways and at greater scale. The COVID-19 pandemic has demonstrated the many uses of collective intelligence: from symptom-tracking apps to open-source production of medical equipment. But despite its potential, collective intelligence is still a nascent area for research funding and is...