Dr. Tom McAvoy, Professor Emeritus of Chemical Engineering at the University of Maryland, brings the power of Artificial Intelligence to one of history’s greatest mysteries—the Shroud of Turin.
Using ultraviolet fluorescence images from the 1978 STURP study, Dr. McAvoy applies a technique known as Principal Component Analysis (PCA) to uncover details invisible to the human eye. His AI-based analysis finds that the Shroud’s ultraviolet intensity reflects molecular and structural differences across the cloth, suggesting possible effects of neutron radiation.
These findings echo earlier hypotheses that radiation from the body wrapped in the Shroud may have altered its radiocarbon date and even contributed to the image formation. Dr. McAvoy’s research links this radiation to the event of the Resurrection of Jesus Christ—making it a remarkable intersection of science and faith.
By combining modern AI algorithms with ancient data, this presentation demonstrates how technology can offer new perspectives on a centuries-old relic.
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