Researchers at Canada's University of Toronto are leveraging microelectronics and artificial intelligence to make neural implants smarter and safer.
The researchers used complementary metal-oxide semiconductor (CMOS) technology, which is used to make chips for computers and smartphones, to integrate neural implants into miniature silicon chips.
The use of CMOS could help reduce the risks tied to surgical implantation and long-term use by allowing for smaller device dimensions and reduced power consumption.
The researchers also incorporated deep learning models that allow the neural implants to be activated at the optimal time and only when needed.
They created methods for training and optimizing the models of each patient's condition to reduce the computational requirements for deep learning models.
From University of Toronto News (Canada)
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