Online Resource

Artificial Intelligence

An advanced module that builds on the Machine Learning component of the scryptIQ curriculum. The module introduces core concepts in artificial intelligence, focusing on three primary AI paradigms (for example, logical/symbolic approaches, probabilistic methods and modern neural approaches). Learners examine how AI systems are constructed, their applications in research, and the broader implications of AI in bioscience and medicine.

Keywords: AI, biological research, data processing, deep learning, generative AI, image analysis, machine learning, programming, python, pytorch

Target audience: Postgraduate researcher, Postgraduate student, Researcher, Clinician, Research Software Engineer, Bioinformatician, Research skills educator

Resource type: Online Resource

Version: 2025.1

Authors: scryptIQ


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