/pace/ en /pace/news/list/2020/11/23/simulation-in-learning-and-teaching Simulation in clinical teaching and learning has been rapidly developing as a method to provide safe and effective learning environments for students to learn vital skills in a low risk setting. Students can practice and hone their theoretical skills in a controlled environment, experiencing the intense interactions and encounters associated in the clinical setting, effectively testing their personal response and ability to regulate to the environment – without compromising patient safety. November 23 2020 Brooke Lee /pace/news/list/2020/11/23/simulation-in-learning-and-teaching /pace/news/list/2020/09/19/spotlight-ai-and-machine-learning AI and machine learning are terms becoming increasing familiar across a range of industries and applications, as the world continues to evolve - with technological advancement at the core. September 19 2020 Brooke Lee /pace/news/list/2020/09/19/spotlight-ai-and-machine-learning /pace/news/list/2020/09/19/preventing-rage-against-the-machine The COVID-19 crisis has severely disrupted the way companies organise and perform work, intensifying the rate at which organisations are adopting new technologies to increase productivity and manage remote workers. Many companies are exploring the potential benefits of artificial intelligence capabilities for transforming the way their employees work.  September 19 2020 Brooke Lee /pace/news/list/2020/09/19/preventing-rage-against-the-machine /pace/news/list/2020/09/19/medical-machine-learning The main goal of computer-aided diagnosis (CAD) systems in medical image analysis is the prediction of clinically relevant outcomes (e.g. diagnosis, prognosis, pathology) directly from medical images. September 19 2020 Brooke Lee /pace/news/list/2020/09/19/medical-machine-learning