More than 2,000 years after Plato died, the towering figure of classical antiquity and founder of the Academy, regarded by many as the first university in the west, can still make front-page news. Researchers this week claimed to have found the final resting place of the Greek philosopher, a patch in the garden of his Athens Academy, after scanning an ancient papyrus scroll recovered from the library of a Herculaneum villa that was buried when Mount Vesuvius erupted in AD79. The project belongs to a new wave of efforts that seek to read, restore and translate ancient and even lost languages with cutting-edge technologies. Armed with modern tools, many powered by artificial intelligence, scholars are starting to read what had long been considered unreadable. "It's going to have a huge impact," said Dr Kilian Fleischer, a papyrologist who worked on The History of the Academy, the scroll that revealed details of Plato's life.

We present a complete software pipeline for revealing the hidden texts of the Herculaneum papyri using X-ray CT images. This enhanced virtual unwrapping pipeline combines machine learning with a novel geometric framework linking 3D and 2D images. We also present EduceLab-Scrolls, a comprehensive open dataset representing two decades of research effort on this problem. EduceLab-Scrolls contains a set of volumetric X-ray CT images of both small fragments and intact, rolled scrolls. The dataset also contains 2D image labels that are used in the supervised training of an ink detection model. Labeling is enabled by aligning spectral photography of scroll fragments with X-ray CT images of the same fragments, thus creating a machine-learnable mapping between image spaces and modalities. This alignment permits supervised learning for the detection of "invisible" carbon ink in X-ray CT, a task that is "impossible" even for human expert labelers. To our knowledge, this is the first aligned dataset of its kind and is the largest dataset ever released in the heritage domain. Our method is capable of revealing accurate lines of text on scroll fragments with known ground truth. Revealed text is verified using visual confirmation, quantitative image metrics, and scholarly review. EduceLab-Scrolls has also enabled the discovery, for the first time, of hidden texts from the Herculaneum papyri, which we present here. We anticipate that the EduceLab-Scrolls dataset will generate more textual discovery as research continues.

The Dead Sea Scrolls, found by a shepherd boy in 1947, dating from roughly 200 BC through 100 AD, were remarkably well-preserved. Exciting finds like the Scrolls and the hieroglyphs of ancient Egypt tempt us to think that when a lost document is found, we will easily physically read it once we understand the language. Sadly, many surviving documents are so damaged that they cannot be read using traditional methods. All we know is that they are/were documents. Nowadays, the 1,700-year-old En-Gedi Scroll--one of the most ancient snippets of the Old Testament ever uncovered--isn't much to look at.