AI Cuts Archaeology Costs by Rebuilding Ancient Artifacts
Archaeological excavations around the globe face an enduring, agonizing bottleneck. Millions of ancient ceramic fragments, prehistoric stone tools, and fossilized bone shards sit tucked away inside museum storage boxes, waiting indefinitely to be reassembled. For decades, piecing together shattered history has remained an excruciatingly slow, manual process requiring hundreds of skilled human hours per artifact. However, a major technological shift is quietly unfolding. A team of researchers at New York University (NYU) is developing open-source artificial intelligence tools specifically designed to reconstruct fragmented physical artifacts, promising to drastically slash operational costs and democratize digital archaeology. Backed by a major three-year research grant from Schmidt Sciences , this cutting-edge project bridges the gap between deep learning computer vision and physical preservation. By converting physical fragments into highly accurate 3D models and processing their ...