Photonic processor could streamline 6G wireless signal processing
By performing deep learning at the speed of light, this chip could give edge devices new capabilities for real-time data analysis.
By performing deep learning at the speed of light, this chip could give edge devices new capabilities for real-time data analysis.
Co-hosted by the McGovern Institute, MIT Open Learning, and others, the symposium stressed emerging technologies in advancing understanding of mental health and neurological conditions.
With the PockEngine training method, machine-learning models can efficiently and continuously learn from user data on edge devices like smartphones.
The machine-learning method works on most mobile devices and could be expanded to assess other motor disorders outside of the doctor’s office.
Global participation in MIT RAISE’s free K-12 program more than doubles in its second year.