EPFL researchers are developing AI models that could one day enable vision prosthetics able to restore meaningful, object-level sight for the blind. The research, from the NeuroAI Lab of Martin Schrimpf, part of EPFL's Schools of Computer and Communication Sciences and Life Sciences, uses AI models to predict exactly where to stimulate the brain to evoke images of faces and specific objects in the users instead of simply evoking spots of light.

Augmented reality (AR) devices like smart glasses may soon be able to predict where a user will look and provide an enhanced interactive experience.

A study in the International Journal of Computer Applications in Technology has developed an improved way to determine the underlying beat, or tempo, in recorded music. It addresses persistent issues in analyzing modern popular music where vocals, multiple instruments, and background noise overlap.