Recent advancements in speech recognition technology from IBM and researchers at UC San Francisco and UC Berkeley hold promise for individuals with vocal paralysis and speech loss. IBM has developed a computer chip that boosts speech-recognition speed and efficiency for AI projects by using phase-change memory devices to improve crucial AI processes, leading to remarkable efficiency At the same time, researchers at UC San Francisco and UC Berkeley have created a brain-computer interface for people who have lost their ability to speak due to amyotrophic lateral sclerosis (ALS). Implanted brain sensors linked to a language-decoding interface created an avatar that mimics a patient's facial expressions. With training, the system accurately translates brain activity into understandable speech with 90% accuracy for a limited vocabulary.