NeuroAI and Intelligent Systems University of Cambridge

Overview

The NeuroAI and Intelligent Systems course from University of Cambridge students will develop skills in computational modelling, coding, and algorithm design, while pursuing independent research in a 32-week project. The course also fosters scientific communication skills and provides access to world-class facilities and expert supervision within Cambridge’s vibrant academic community.

The educational aims of the course are to:

• Provide students with relevant experience at first-degree level the opportunity to carry out focused research in this emerging interdisciplinary field under close supervision;
• Give students the opportunity to acquire or develop technical skills and expertise relevant to their research interests in both neuroscience and AI.

The course will also:

• Provide a strong foundation in the core principles of NeuroAI - exploring topics such as neural networks, connectionist theory, dynamical systems, state-of-the-art AI approaches including transformers and state-space models;
• Enable hands-on technical training in computational modelling, coding, and algorithm implementation;
• Allow flexibility for students to explore their specific research interests via a substantial 32-week research project;
• Train students in academic scientific writing and presentation.

As a student in our programme, you will benefit from Cambridge's vibrant academic community in both neuroscience and AI. You will have access to state-of-the-art research facilities including advanced computational resources and high-performance computing clusters.