Twitter is now using a trendy type of AI to figure out which tweets to show you

Before putting the deep learning system into production recently, Twitter was using less computationally intensive machine learning methods such as decision trees and logistical regression, Twitter software engineers Nicolas Koumchatzky and Anton Andryeyev wrote in a blog post. For its 328 million monthly active users, the company is evaluating and scoring thousands of tweets per second to determine what's worth recommending in timelines, taking into consideration an increasing number of factors, including whether tweets contain images or videos, the number of retweets and likes, and your previous interactions with other account holders, Koumchatzky and Andryeyev wrote. "Online experiments have also shown significant increases in metrics such as Tweet engagement, and time spent on the platform," the engineers wrote. For the past two years Twitter stock has stayed below $40 per share after closing at $44.90 on its first day of trading in 2013. In the past year some members of Twitter's Cortex A.I. research group have left; in March the group's technology lead, Clément Farabet, took a job at Nvidia.