In the U.S., Facebook Messenger now automatically launches Fandango information and ticketing, along with suggestions for GIF-sharing and so-called quick replies, within the app. The feature is based on M, Facebook’s AI-powered virtual assistant technology. The M assistants have thus far offered a variety of actions in Messenger, including sending stickers, launching Uber or Lyft, beginning a poll and sharing a location. Facebook Messenger users can change their settings in order to mute these suggestions. Continue reading Facebook Messenger Debuts In-App Fandango Ticket Sales

Facebook just acquired Ozlo, a small AI startup founded four years ago and based in Palo Alto, California. The social media giant made the purchase in order to improve Messenger’s virtual assistant, dubbed M. Ozlo describes its product as “an index of knowledge about the real world,” which implies that a user could ask questions and receive answers about a wide range of topics. The company has 30 employees, and a majority of them will be joining Facebook’s Messenger teams in Menlo Park, California and Seattle, Washington. Continue reading Facebook Buys AI Startup Ozlo to Improve Virtual Assistant M

Microsoft just paid $26.2 billion to buy LinkedIn and its treasure trove of information about the business social network’s 105.5 million monthly active users. That enormous quantity of data will drive machine learning to create and evolve products as well as anticipate customer needs. Microsoft isn’t alone in going after large repositories of data for that very reason. As Microsoft, Apple and Alphabet exploit the possibilities of machine learning, they all are competing for the information necessary to find actionable patterns. Continue reading Microsoft to Mine LinkedIn Data, Advance Machine Learning

Google is open-sourcing SyntaxNet, a neural network framework that provides a foundation for Natural Language Understanding (NLU), and Parsey McParseface, a computer program that helps machines understand written English. Offering the code for free lets anyone develop, modify and distribute it, furthering natural language and potentially making Google’s code the standard. Earlier, Google open-sourced its machine-learning code TensorFlow (which SyntaxNet runs on top of); other companies that have similarly open-sourced code include Amazon and Facebook.

Continue reading Google Open Sources Language Tools for Virtual Assistants