A scientist from Russia has developed a new neural network architecture and tested its learning ability on the recognition of handwritten digits. The intelligence of the network was amplified by chaos, and the classification accuracy reached 96.3%. The network can be used in microcontrollers with a small amount of RAM and embedded in such household items as shoes or refrigerators, making them ‘smart.’ The study was published inĀ Electronics. Read more below:

https://techxplore.com/news/2020-09-neural-network-low-memory-iot-devices.html