School of Science

A study by Massachusetts Institute of Technology (MIT) shows that machine learning-based computational models are making strides towards mimicking the human auditory system, potentially improving the design of devices like hearing aids and cochlear implants. The research indicated that these models’ internal data structures have similarities to those seen in the human brain in response…

MIT researchers have conducted a study that suggests machine learning models might be used to better design hearing aids, cochlear implants, and brain-machine interfaces. In the largest research project to date involving deep neural networks trained to carry out auditory tasks, the researchers showed that most of these models mimic the human brain’s behaviour when…

Computational models that mirror the structure and functioning of the human auditory system could lead to improvements in hearing aids, cochlear implants, and brain-machine interfaces, researchers at MIT say. The team has conducted the largest study yet of deep neural networks trained to perform auditory tasks, and found that most generate internal representations bearing similarities…

An MIT study has been making strides towards developing computational models that mimic the human auditory system, which could enhance the design of hearing aids, cochlear implants, and brain-machine interfaces. These computational models stem from advances in machine learning. The study found that internal representations generated by deep neural networks often mirror those within the…

A study by Massachusetts Institute of Technology (MIT) researchers has indicated that computational models that perform auditory tasks could speed up the development of improved hearing aids, cochlear implants, and brain-machine interfaces. In the study, the largest ever conducted into deep neural network-based models trained to perform hearing-related functions, it was found that most mimic…