Twitter (NYSE: TWTR), the social network company, acquired Fabula AI, a London, UK-based startup using geometrical deep learning to solve fake news.
The amount of the deal was not disclosed.
The acquisition will enable Twitter to strengthen its machine learning expertise to improve the health of the conversation, with expanding applications to stop spam and abuse with other strategic priorities coming in the future.
To continually advance the state of machine learning, inside and outside, Twitter is building out a research group at Twitter, led by Sandeep Pandey, to focus on a few key strategic areas such as natural language processing, reinforcement learning, ML ethics, recommendation systems, and graph deep learning.
Fabula AI’s team of machine learning researchers employ graph deep learning – a novel method for applying ML techniques to network-structured data – to detect network manipulation. The result is the ability to analyze very large and complex datasets describing relations and interactions, and to extract signals in ways that traditional ML techniques are not capable of doing.
Specifically, by studying and understanding the Twitter graph, comprised of the millions of Tweets, Retweets and Likes shared on Twitter every day, the company will be able to improve the health of the conversation, as well as products including the timeline, recommendations, the explore tab and the onboarding experience.
Founded by Michael Bronstein, Damon Mannion, Federico Monti, and Ernesto Schmittm the company’s team will be joining the Twitter Cortex team of ML engineers, data scientists, and researchers. Cortex is the central ML org at Twitter with the goal to advance machine learning inside & outside Twitter.
The acquisition of Fabula builds on other investments Twitter has made in machine learning, for example, Madbits in 2014, Whetlab in 2015 and Magic Pony in 2016.