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
Activity log
United Kingdom