I didn’t really go through it to see if they compare it with ML performance, but it’s still a fun anecdote.
Plus, you don’t have to feed an ML model or clean its pen. Or train new ones when the current generation dies. I don’t really know if there is –or should be– a practical application in scale of these findings, but it’s pretty neat!
Here’s the link the article I read was referencing: https://pmc.ncbi.nlm.nih.gov/articles/PMC4651348/
I didn’t really go through it to see if they compare it with ML performance, but it’s still a fun anecdote.
Plus, you don’t have to feed an ML model or clean its pen. Or train new ones when the current generation dies. I don’t really know if there is –or should be– a practical application in scale of these findings, but it’s pretty neat!