The new neural network can help reconstruct missing parts of ancient inscriptions.
The origins of ancient inscriptions are often shrouded in mystery. Writing carved into stone millennia ago can be hard to read and is often missing entire sections of the text.
Now a neural network, trained on thousands of existing inscriptions, could help historians figure out when and where a piece of writing comes from — as well as fill in missing words and characters.
Argentina Últimas Noticias, Argentina Titulares
Similar News:También puedes leer noticias similares a ésta que hemos recopilado de otras fuentes de noticias.
Why 'The Andy Warhol Diaries' Recreated the Artist’s Voice With AIUsing an AI voice to speak for a beloved cultural figure—or anyone, really—isn’t without ethical quandaries.
Leer más »
AI-Powered Predictive Merchandising is Shaping the Future of Shopping | HackerNoonAs long as consumers choose a hybrid shopping model, merchandising will keep driving sales.
Leer más »
Italy slaps facial recognition firm Clearview AI with €20 million fine | EngadgetThe company is also banned from using images of Italians in its database.
Leer más »
DeepMind’s new AI model helps decipher, date, and locate ancient inscriptionsMachine learning meets ancient inscriptions
Leer más »
AI predicts the effectiveness and evolution of gene promoter sequencesA neural network can predict gene expression from promoter sequence.
Leer más »
AI Helps Small City Pull Toxic Lead Water Service Lines from the Ground FasterBenton Harbor, Mich., needs to exhume thousands of corroded lines, and a machine learning algorithm is helping to figure out where to dig first.
Leer más »