AI-based learning and classification
AUTOMATA leverages the power of artificial intelligence (AI) to enhance the learning and classification of archaeological artefacts.
One of the project’s key innovations is the development of AI tools that can automatically classify artefacts based on their shape, material, and archaeometric data. This task, traditionally performed by human experts, is time-intensive and often subject to human error. By training AI models on large datasets of digitized artefacts, AUTOMATA aims to streamline the classification process, making it faster and more accurate. The AI systems will continuously learn and improve as more data is collected, allowing them to identify even subtle differences between artefact types. Furthermore, these AI tools are designed to be explainable, ensuring that human experts can understand and verify the reasoning behind each classification.
This synergy between human expertise and AI-driven analysis enhances the overall quality of archaeological research, enabling the discovery of new artefact categories and deeper insights into ancient production techniques and cultural exchanges.
Involved partners
Miningful srl (MIN – IT)
Miningful leverages cutting-edge AI technology to build and integrate predictive systems into production, commercial, logistics and distribution processes within the industrial sector.
Results
This section will be completed during the project’s implementation.
Work packages (WP)
This research focus is related more specifically with AUTOMATA WP9 (AI-based recognition)