项目介绍
This programme is designed to equip students with a strong foundation in the core principles of NeuroAI, combining theoretical depth with hands-on technical training. 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.
官网原文摘录This programme is designed to equip students with a strong foundation in the core principles of NeuroAI, combining theoretical depth with hands-on technical training. 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.