Meta built an AI model that predicts how the human brain reacts to images, sounds, and speech. In tests, its predictions matched the typical brain response more closely than an actual scan of any single person.<br /> The article Meta's new AI model predicts how your brain reacts to images, sounds, and speech appeared first on The Decoder. [...]
Meta is entering the increasingly competitive real-time speech-to-text market with Muse Voice Transcribe, a new audio perception model that combines streaming transcription, endpoint detection and spe [...]
Some of the most successful creators on Facebook aren't names you'd ever recognize. In fact, many of their pages don't have a face or recognizable persona attached. Instead, they run pa [...]
Meta has just released a new multilingual automatic speech recognition (ASR) system supporting 1,600+ languages — dwarfing OpenAI’s open source Whisper model, which supports just 99. Is architectu [...]
The enterprise voice AI market is in the middle of a land grab. ElevenLabs and IBM announced a collaboration just this week to bring premium voice capabilities into IBM's watsonx Orchestrate plat [...]
At every CES I’ve ever been to, there’s been one or two gadgets promising to boost your mental health. In recent years, the number of companies making forays into this space has grown, and will li [...]
Meta today released Muse Glimmer, a 30-billion-parameter open-weight model designed to run autonomous AI agents directly on consumer hardware — pushing agentic workloads that normally depend on clou [...]