NS5007 - Human and Artificial Intelligence | ||||||||
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* The offering term is subject to change without prior notice | ||||||||
Course Aims | ||||||||
Bridging neuroscience and artificial intelligence (AI) can provide novel insights to drive both fields forward. This course aims at using a project based learning approach, to engage the students with both theoretical understanding as well as practical experience for cutting edge applications in neuroscience and AI. The projects focus on the following topics: (1) basic concepts and principles in AI, including machine learning and deep learning; (2) neuroscience-inspired artificial working memory; (3) biological vision and computer vision; (4) application of deep learning in neuroimaging; (5) AI applications in processing next generation sequencing data from genomic neuroscience; (6) applying AI in psychiatric disorders for diagnosis and personalized care; and (7) AI in processing brain waves and brain-machine interface. The course will include curated datasets for each topic and hands on practice, to highlight the power and limitations/pitfalls in adopting the AI technologies. | ||||||||
Assessment (Indicative only, please check the detailed course information) | ||||||||
Continuous Assessment: 100% | ||||||||
Detailed Course Information | ||||||||
NS5007.pdf | ||||||||
Useful Links | ||||||||
Department of Neuroscience |