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Machine learning for water-energy-food-ecosystems nexus policy
Dr Janez Sušnik, from the IHE Delft Institute for Water Education and NEXOGENESIS Coordinator, guides us through the use of machine learning for improving policy advice in the water-energy-food-ecosystems nexus.
Machine learning helps to improve climate services
Machine Learning methods have received significant attention in the past few years as a game changer for product development and Climate Services
Machine Learning methods,...
Exploring the role of machine learning in materials science and engineering
In this paper, Professor Dane Morgan and Research Scientist Ryan Jacobs, from the University of Wisconsin, Madison, discuss their adventures in the field of machine learning in the areas of materials science and engineering.
Revolutionizing systematic reviews: the ASReview project’s call for trust and transparency in AI-aided screening...
Owing to the challenges inherent in the screening process, finding a low percentage of relevant studies at a high cost is common, making AI-aided screening tools a necessity.
Genetics and machine learning can improve blood transfusion outcomes
Better blood transfusion outcomes for patients and better protection of the NHS blood supply can be achieved with machine learning, argue Drs Samuel McDermott, Nicholas Gleadall and Sara Trompeter.
Artificial Intelligence test agents for automated testing of Extended Reality (XR)
Extended Reality (XR) is an umbrella term for advanced interactive systems such as Virtual Reality (VR), Augmented Reality (AR), Mixed Reality (MR), and systems with advanced 3D User Interfaces.
