Neural Networks in Minds and Machines 🧠🤖
Part of Kellogg College’s AI Learning Lectures, this talk explores how biological and artificial neural networks learn, adapt, and respond to new environments. Speaker Kai Sandbrink (DPhil Candidate, University of Oxford) draws on research in computational cognitive neuroscience to examine how brains and machines process information, adjust to new routines, and develop flexible behaviours.
What to expect:
- 🧬 Insights into how deep learning models were inspired by the brain
- 🔍 A comparison of biological and artificial learning mechanisms
- 🧠 Discussion of cognitive flexibility and adaptable AI
- 🤝 An accessible introduction suitable for all backgrounds
Tea and coffee will be served from 17:00, with the lecture beginning at 17:30.