SOURCE-LINKED INTELLIGENCE

Revealing the functions of Pleistocene EXpedient OSseous TECHnology with an innovative approach that integrates tribology with AI

CORDIS · observation · Publication date unknown

lation to other aspects of Pleistocene material culture. ExOsTech aims to tackle this challenging task through the development and application of an innovative approach that integrates tribology with artificial intelligence to study use-wear patterns present on expedient osseous tools. This methodological breakthrough relies on discriminant analysis of surface textural data (ISO 25178) acquired by confocal microscopy as well as image recognitions and multi-class neural network algorithms to precisely establish the function of expedient osseous tools. This method will be applied to study assemblages from Europe, Southern Africa, and East Asia dated between 1.8 Ma and 60 thousand years ago (ka). Cross-cultural comparisons of regional trajectories will be performed to establish when expedient osseous tools became fully integrated in past cultural systems and when standardized behaviours guiding their selection and use emerged in our lineage. Ultimately, ExOsTech will offer a new perspective on Pleistocene cultural dynamics that can not otherwise be inferred solely from stone technology.

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recordType

award

status

SIGNED

region

EU

value

1743391

unit

EUR