Convolutionary, Evolutionary, Revolutionary: What’s Next for Bodies, Brains and AI?
Abstract
In recent years we have made significant progress identifying computational principles that underlie neural function. While not yet complete, we have sufficient evidence that a synthesis of these ideas could result in an understanding of how neural computation emerges from a combination of innate dynamics and plasticity, and which could potentially be used to construct new AI technologies with unique capabilities. I discuss the relevant principles, the advantages they have for computation, and how they can benefit AI. Limitations of current AI are generally recognized, but fewer people are aware that we understand enough about the brain to immediately offer novel AI formulations.
Cite
Text
Stratton. "Convolutionary, Evolutionary, Revolutionary: What’s Next for Bodies, Brains and AI?." NeurIPS 2019 Workshops: Neuro_AI, 2019.Markdown
[Stratton. "Convolutionary, Evolutionary, Revolutionary: What’s Next for Bodies, Brains and AI?." NeurIPS 2019 Workshops: Neuro_AI, 2019.](https://mlanthology.org/neuripsw/2019/stratton2019neuripsw-convolutionary/)BibTeX
@inproceedings{stratton2019neuripsw-convolutionary,
title = {{Convolutionary, Evolutionary, Revolutionary: What’s Next for Bodies, Brains and AI?}},
author = {Stratton, Peter},
booktitle = {NeurIPS 2019 Workshops: Neuro_AI},
year = {2019},
url = {https://mlanthology.org/neuripsw/2019/stratton2019neuripsw-convolutionary/}
}