Meta's Brain2Qwerty v2 decodes typed sentences from brain scans at 61% accuracy with no implant. The catch: it's room-sized, not real-time, and lab-bound.

Meta has unveiled Brain2Qwerty v2, an AI system that converts brain activity into text without surgery, bringing assistive communication a step closer to reality.

Add Decrypt as your preferred source to see more of our stories on Google. Meta introduced Brain2Qwerty v2, a non-invasive AI system that decodes brain activity into text. The model achieved 61% ...

SAA decides whether speech was meant for a device before it reaches the voice AI stack, so agents respond only when ...

Emily Wilson is the first woman to translate the poem from Ancient Greek to modern-day English. Her rendition captures the ...

Kotoba Technologies, a developer of real-time speech models optimized for East Asian languages, today announced an additional ...

Development of GIMP has picked up speed in recent years, but now its first public release is back as a Flatpak, allowing the ...

The latest updates enable Playwright automation across Java, Python, and C#, and introduce real-time audio injection capabilities on real iOS devices These updates address a growing need for testing ...

Drones are amazing little machines, but most of the time they are controlled using remotes filled with buttons and joysticks. While experimenting with our LiteWing drone, we started wondering, ...

Note: OpenVINO is currently incompatible with Kokoro models due to dynamic rank tensor requirements. The provider will automatically fall back to CPU if OpenVINO fails. Stages can be replaced with ...

With speech-to-text software, you don't need to use your fingers to create digital text. The top dictation software is fast, accessible, and helpful for anyone who struggles with typing. Justin has ...