The construction industry is known to be overwhelmed with resource planning, risk management and logistic challenges which often result in design defects, project delivery delays, cost overruns and contractual disputes. The overall aim of this article was to review existing studies that have applied deep...
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.
Over the past 10 years, significant strides have been made in facilitating better cyber information cooperation and sharing, including the emergence of a number of different operating models. This report examines barriers to the progress of greater information that will support the security and resilience...
The raft of new rules imposed on regulated financial institutions in the aftermath of the global financial crisis has a huge compliance cost. Could artificial intelligence offer efficiency gains?
Automated decision-making systems make decisions about our lives, and those with low-socioeconomic status often bear the brunt of the harms these decisions cause. This guide explains automated decision-making systems so lawyers can better identify the source of their clients' problems and advocate on their behalf.
This research shows that Australia’s economy is now regressing in its use of new technology, with negative implications for productivity, incomes, and job quality. The report's findings contrast sharply with the common concern that robots and other forms of automation will threaten future job security...
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...
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.
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.
Technological advances have made it easier for agencies to make automated decisions. However, it is well recognised that automated systems have the potential to significantly impact the rights and privacy of individuals.