Researchers have shown it is possible to perform artificial intelligence using tiny nanomagnets that interact like neurons in the brain. ...
The researchers showed nanomagnets can be used for 'time-series prediction' tasks, such as predicting and regulating insulin levels in diabetic patients. ...
A lot of the maths used to power neural networks was originally invented by physicists to describe the way magnets interact, but at the time it was too difficult to use magnets directly as researchers didn't know how to put data in and get information out. ...
Nanomagnets can come in various 'states', depending on their direction. Applying a magnetic field to a network of nanomagnets changes the state of the magnets based on the properties of the input field, but also on the states of surrounding magnets. ...
The team will next teach the system using real-world data, such as ECG signals, and hope to make it into a real computing device. Eventually, magnetic systems could be integrated into conventional computers to improve energy efficiency for intense processing tasks. ...
See the full story here: https://www.sciencedaily.com/releases/2022/05/220505114646.htm