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The default Samsung Messages app pre-installed on the newly announced Galaxy S9 and Galaxy S9 Plus will feature native support for GIF search engine Tenor, Tenor said Sunday. The same feature will also be distributed to other Samsung-made devices once it debuts on the Galaxy S9 lineup. Once the feature is available around the world, users of eligible Galaxy smartphones and Internet-enabled tablets will be able to access the Tenor search engine with a single tap on the messaging interface of Samsung’s app.
Samsung picked Tenor as the preferred GIF search engine for its Messages app, with the South Korean tech giant hoping the move will provide its customers with more visual means of communicating via messages, especially in conjunction with the RCS support its app already boasts. Tenor itself is powered by machine learning technologies drawing data from what the company refers to as the Tenor Emotional Graph, a chart of common GIF-related search terms which its artificial intelligence then associates with certain emotions. When trying to respond to a GIF with another GIF, the AI will also take the first message into account as its graph also takes relationships between different emotions into the equation when delivering results. The current version of the service recognizes over five billion feelings and reactions and evolves alongside memes and the general Internet culture. As such, Tenor claims its solutions is the most technologically advanced GIF search engine in the world.
Samsung is yet another major partner Tenor managed to score in recent years, with the company’s service already being integrated into Facebook, WhatsApp, Google’s Gboard, Apple’s iMessage, Twitter, TouchPal, Kik, LinkedIn, and multiple other platforms. The GIF search engine says it’s now not just the largest but also the fastest-growing service of its kind, having already hinted that more similar collaborations will follow in the future. The company presently processes approximately 12 billion GIF searches from 300 million users on a monthly basis, according to its own estimates.