Description
This is the first in a series of articles on tiny machine learning. The goal of this article is to introduce the reader to the idea of tiny machine learning and its future potential. In-depth…
Summary
- Tiny Machine Learning: This came to a head recently with the release of the GPT-3 algorithm (released in May 2020), boasting a network architecture containing a staggering 175 billion neurons — more than double the number present in the human brain (~85 billion).
- While the achievements of GPT-3 and Turing-NLG are laudable, naturally, this has led to some in the industry to criticize the increasingly large carbon footprint of the AI industry.
- As another example, a smart doorbell might be fitted with a camera that can use facial recognition to determine who is present.