YouTube, Facebook Use AI Tools to Curb Unwanted Content

Google reports that AI-powered machines, not humans, detected about 80 percent of the 8.28 million videos taken off of YouTube in Q4 2017. This revelation underscores the importance of AI-enabled computers in removing unwanted content — and just how aggressively YouTube is pursuing their removal. At Stanford University’s Global Digital Policy Incubator, executive director Eileen Donahoe noted that balancing free speech with the removal of undesirable videos will be YouTube’s major challenge going forward. Continue reading YouTube, Facebook Use AI Tools to Curb Unwanted Content

NAB: DataFission Platform Aims to Search the Unsearchable

DataFission has developed generally applicable technology that can index, search and report on all forms of unstructured, metadata-free digital data. With deep roots in military research, this San Jose company has developed algorithms that can index files and streams of data, without human interaction, in one sweep. The system can index any type of data, including video, still images, music, audio tracks, text, software and metadata. According to its brochure, DataFission is “Solving the world’s problem of searching the unsearchable.” Continue reading NAB: DataFission Platform Aims to Search the Unsearchable