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Uber is building a fleet of gig workers to label data for AI models

Uber is expanding its fleet of gig workers and creating a new category: AI annotation and data labeling. The ride-hailing company has started hiring contractors for a new AI and data labeling division called Scaled Solutions. These workers complete projects for Uber’s internal business units but are also serving outside customers including self-driving vehicle company […]

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Niantic uses PokΓ©mon Go player data to build AI navigation system

Last week, Niantic announced plans to create an AI model for navigating the physical world using scans collected from players of its mobile games, such as PokΓ©mon Go, and from users of its Scaniverse app, reports 404 Media.

All AI models require training data. So far, companies have collected data from websites, YouTube videos, books, audio sources, and more, but this is perhaps the first we've heard of AI training data collected through a mobile gaming app.

"Over the past five years, Niantic has focused on building our Visual Positioning System (VPS), which uses a single image from a phone to determine its position and orientation using a 3D map built from people scanning interesting locations in our games and Scaniverse," Niantic wrote in a company blog post.

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