MIT’s New ‘Liquid’ Neural Network Learns From Experience So Robots Can Adapt to Changes

MIT liquid neural network
MIT researchers have developed a neural “liquid” network that varies its equations’ parameters, enhancing its ability to analyze time series data. (Image credit: Jose-Luis Olivares, MIT)
Most machine learning algorithms can’t learn from experiences beyond initial training. Now, MIT researchers have developed a type of neural network that learns on the job, not just during its […]
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Cathy Russey () is Online Editor at WT | Wearable Technologies and specialized in writing about the latest medical wearables and enabling technologies on the market. Cathy can be contacted at info(at)