Archaeologists train a neural network to sort pottery fragments for them
The network turned out to be as good at the job as human archaeologists.
Kiona N. Smith, Ars Technical, May 21, 2021
[arstechnica.com]

The paper is:

Pawlowicz, L.M. and Downum, C.E., 2021. Applications of deep learning
to decorated ceramic typology and classification: A case study using
Tusayan White Ware from Northeast Arizona. Journal of Archaeological
Science, 130, no.105375.

Another paper is:

Aprile, A., Castellano, G. and Eramo, G., 2014. Combining image analysis
and modular neural networks for classification of mineral inclusions and
pores in archaeological potsherds. Journal of archaeological science,
50, pp.262-272.
[www.sciencedirect.com]
[www.socminpet.it]

Yours,

Paul H.

"The past is never dead. It's not even past."
William Faulkner, Act 1, Scene III, Requiem for a Nun (1951)



Edited 1 time(s). Last edit at 05/28/2021 09:57AM by Paul H..