NeuroAI
This research program is based on the dual thesis that biological brains have valuable insights to offer in the design of artificial intelligence and that the study of how the brain works and evolved to its current form needs to be grounded in our understanding of AI capabilities.
The physicist Richard Feynman left the following on a blackboard shortly before his death: "What I cannot create, I do not understand." The brain is our guiding inspiration for how to build AI, and AI is our litmus test for how well we understand the brain.
Sources
- A Brief History of Intelligence
- Zador (2019) - A critique of pure learning and what artificial neural networks can learn from animal brains
- Richards et al. (2019) - A deep learning framework for neuroscience
- Mehonic and Kenyon (2022) - Brain-inspired computing needs a master plan
- Zador et al. (2023) - Catalyzing next-generation Artificial Intelligence through NeuroAI