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“The frontiers between antiquity and AI fit me very well” Sven Najem-Meyer

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Sven Najem-Meyer of the Digital Humanities Laboratory explores the intersection of machine learning and classical studies, tackling the challenges of document processing for texts in Ancient Greek. On March 27, he will compete in the finals of “My Thesis in 180 Seconds” at EPFL. Sven Najem-Meyer of the Digital Humanities Laboratory explores the intersection of machine learning and classical studies, tackling the challenges of document processing for texts in Ancient Greek. On March 27, he will compete in the finals of “My Thesis in 180 Seconds” at EPFL. Sven Najem-Meyer of the Digital Humanities Laboratory explores the intersection of machine learning and classical studies, tackling the challenges of document processing for texts in Ancient Greek. On March 27, he will compete in the finals of “My Thesis in 180 Seconds” at EPFL. Sven Najem-Meyer of the Digital Humanities Laboratory explores the intersection of machine learning and classical studies, tackling the challenges of document processing for texts in Ancient Greek. On March 27, he will compete in the finals of “My Thesis in 180 Seconds” at EPFL. Sven Najem-Meyer of the Digital Humanities Laboratory explores the intersection of machine learning and classical studies, tackling the challenges of document processing for texts in Ancient Greek. On March 27, he will compete in the finals of “My Thesis in 180 Seconds” at EPFL. Sven Najem-Meyer of the Digital Humanities Laboratory explores the intersection of machine learning and classical studies, tackling the challenges of document processing for texts in Ancient Greek. On March 27, he will compete in the finals of “My Thesis in 180 Seconds” at EPFL. Sven Najem-Meyer of the Digital Humanities Laboratory explores the intersection of machine learning and classical studies, tackling the challenges of document processing for texts in Ancient Greek. On March 27, he will compete in the finals of “My Thesis in 180 Seconds” at EPFL. Sven Najem-Meyer of the Digital Humanities Laboratory explores the intersection of machine learning and classical studies, tackling the challenges of document processing for texts in Ancient Greek. On March 27, he will compete in the finals of “My Thesis in 180 Seconds” at EPFL. Sven Najem-Meyer of the Digital Humanities Laboratory explores the intersection of machine learning and classical studies, tackling the challenges of document processing for texts in Ancient Greek. On March 27, he will compete in the finals of “My Thesis in 180 Seconds” at EPFL. Sven Najem-Meyer of the Digital Humanities Laboratory explores the intersection of machine learning and classical studies, tackling the challenges of document processing for texts in Ancient Greek. On March 27, he will compete in the finals of “My Thesis in 180 Seconds” at EPFL. Sven Najem-Meyer of the Digital Humanities Laboratory explores the intersection of machine learning and classical studies, tackling the challenges of document processing for texts in Ancient Greek. On March 27, he will compete in the finals of “My Thesis in 180 Seconds” at EPFL. Sven Najem-Meyer of the Digital Humanities Laboratory explores the intersection of machine learning and classical studies, tackling the challenges of document processing for texts in Ancient Greek. On March 27, he will compete in the finals of “My Thesis in 180 Seconds” at EPFL. Sven Najem-Meyer of the Digital Humanities Laboratory explores the intersection of machine learning and classical studies, tackling the challenges of document processing for texts in Ancient Greek. On March 27, he will compete in the finals of “My Thesis in 180 Seconds” at EPFL.