Meta Platforms says its vision for the metaverse will rely heavily on compression technology “to deliver high-quality, uninterrupted experiences for everyone.” With that in mind, it’s trained its Fundamental AI Research (FAIR) lab on developing “hypercompression” solutions. First up is EnCodec, an audio technology it says compresses at 64 kbps, with no loss in quality, and at 10 times the efficiency of MP3. The EnCodec protocol has the potential to  greatly improve the sound and reliability of speech over low-bandwidth (like when your mobile phone is only getting one bar). It also works for music. Continue reading Meta Says Its AI-Compressed Audio Codec Beats MP3 by 10x

Meta AI, the artificial intelligence unit of Meta Platforms has developed what it believes is a machine learning model that can simultaneously scan hundreds of thousands of Wikipedia citations to check their accuracy. While the Wikimedia Foundation, which runs Wikipedia, already uses bots, Meta’s proposal would be more extensive than anything currently deployed. Trained using a dataset of 4 million Wikipedia citations, the new Meta AI tool analyzes the linked references, verifying corroboration. With more than 17,000 new Wikipedia articles added each month, this is no small feat. Continue reading Meta Developing a Neural Network to Turbocharge Wikipedia