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In the autumn of 1986, widower Walter Cranston cannot let go. He is haunted by a single image: an 1860 oil portrait of a Victorian woman who shares his late wife Eleanor's exact face, down to the crescent-shaped scar on her collarbone.
Driven by grief and an unshakable curiosity, Walter turns to emerging artificial intelligence tools to analyze archival records and historical daguerreotypes. With the help of a retired archivist and a graduate student running experimental neural networks on university mainframes, he begins to reconstruct a lost journal and uncover an impossible biological match across the centuries.
But their digital investigation alarms Albert Kensington, a ruthless industrial heir whose family has buried a secret involving illegal human experimentation. He will do anything to protect that legacy-threaten, break into Walter's home, and attempt to wipe the university servers.
As Walter races to expose the truth, he discovers that Eleanor's legacy is not what he thought. In the process, he must confront the nature of time, memory, and a love that defies a hundred years.
A gripping blend of historical mystery and early AI investigation, The Canvas of 1860 asks: how far would you go to understand the person you lost?
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