DeepMind introduces AI model to decipher ancient texts

Normally, historians demonstrated an accuracy of 25 per cent when working on their own, but the outcome improved to 72 per cent after Ithaca.

Alphabet’s DeepMind has collaborated with the University of Venice, the University of Oxford and the Athens University of Economics and Business to build a deep neural network called Ithaca, which is able to restore missing text from ancient texts. In a paper published in Nature, DeepMind stated that Ithaca was trained using natural language processing to not only recover lost ancient text that has been damaged over time, but also identify the original location of the text and establish the date when it was made. 

The study conducted by DeepMind showed that Ithaca is 62 per cent accurate in restoring texts that are damaged and 71 per cent accurate at determining the location of a text. It was also proven that it could date texts within a range of 30 years around the correct year. In 2019, DeepMind had released Pythia, Ithaca’s predecessor, which was their first system for text restoration. 

THE BELAMY

Sign up for your weekly dose of what's up in emerging technology.

DeepMind also partnered with Google Cloud and Google Arts & Culture to launch an interactive version of Ithaca. Welcoming further research, DeepMind has also open-sourced the code as well as the pretrained model. It also announced in its blog that it was already working on other versions of Ithaca that were trained on other ancient texts. Meanwhile, historians could avail other ancient writing systems in their studies like Akkadian, Demotic, Hebrew and Mayan. 

Normally, historians demonstrated an accuracy of 25 per cent when working on their own, but the outcome improved to 72 per cent after Ithaca. 

More Great AIM Stories

Poulomi Chatterjee
Poulomi is a Technology Journalist with Analytics India Magazine. Her fascination with tech and eagerness to dive into new areas led her to the dynamic world of AI and data analytics.

Our Upcoming Events

Masterclass, Virtual
How to achieve real-time AI inference on your CPU
7th Jul

Masterclass, Virtual
How to power applications for the data-driven economy
20th Jul

Conference, in-person (Bangalore)
Cypher 2022
21-23rd Sep

Conference, Virtual
Deep Learning DevCon 2022
29th Oct

3 Ways to Join our Community

Discord Server

Stay Connected with a larger ecosystem of data science and ML Professionals

Telegram Channel

Discover special offers, top stories, upcoming events, and more.

Subscribe to our newsletter

Get the latest updates from AIM
MOST POPULAR

What can SEBI learn from casinos?

It is said that casino AI technology comes with superior risk management systems compared to traditional data analytics that regulators are currently using.

Will Tesla Make (it) in India?

Tesla has struggled with optimising their production because Musk has been intent on manufacturing all the car’s parts independent of other suppliers since 2017.