An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes ...

AI model using deep transfer learning – the most advanced form of machine learning – predicted with 92 % accuracy spoken ...

AI model using deep transfer learning – the most advanced form of machine learning – predicted with 92% accuracy spoken language outcomes at one-to-three years after cochlear implants (implanted ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

Researchers at Carnegie Mellon University hope an AI-driven speech reconstruction tool can bridge the gap between a growing ...

Voice cloning technology platforms like ElevenLabs allow anyone to replicate a voice using just a few seconds of audio, for a ...

Adnan and colleagues evaluated machine learning models’ ability to screen for Parkinson’s disease using self-recorded smile videos. 2. The models achieved high sensitivity and specificity among ...

Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...