A breakthrough way to train neuromorphic chips | by TU/e TU/e researchers have devised an innovative way to train neuromorphic chips.
Until now, a neuromorphic chip’s neural network would be trained using external software, which is a process that can be time-consuming and energy inefficient. “Now, our new chip can learn on-the-fly by processing patient data in real-time, which certainly speeds up the training process and helps promote the use of the chip in real interactive bioapplications,” says researcher Eveline van Doremaele.