CREST project focused on neuromorphic devices and networks

The artificial neural network is a type of electronic circuit modelled after the human brain. It contains thousands of artificial neurons and synapses that, in general, assemble to execute algorithms that can allow the neural network to incorporate a large amount of input data. One of the algorithms is known as deep learnig (DL), which is a kind of statistical processing to learn and infer several features of the big data while consuming tremendous energy. A team, led by Dr Isao H Inoue of the National Institute of Advanced Industrial Science and Technology (AIST), is working on a five-and-a-half-year CREST project until March 2025 to develop a novel neuromorphic architecture that can do the learning and inference without using such an algorithm, thus in low power consumption.