AI model forecasts speech development in deaf children after cochlear implants

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

Machine learning models effectively screened for Parkinson’s disease using smile videos

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 ...
EurekAlert!

Advanced AI dodel predicts spoken language outcomes in deaf children after cochlear implants

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 ...
90.5 WESA

Can teachers spot AI writing? Penn researchers weigh in

The widespread use of AI has sparked a dilemma for teachers and professors. How do you tell the difference between ...

UNM professor pushing forward research into sign language

A linguistics professor at UNM, is helping shape the future of sign language research, using unique teaching methods that ...
IEEE

Indian Sign Language Classification Using Transfer Learning

Abstract: In recent years, there has been increased interest in the field of machine learning to develop accurate and efficient Indian Sign Language (ISL) classification models. This interest stems ...
IEEE

Kannada Sign Language Detection Using Machine Learning

Abstract: Correspondence by means of motions is the really dependable technique for correspondence for almost deaf people all over the planet. There are a ton of voice, working with correspondence ...