This brief presents the brainmorphic artificial intelligence (BMAI) project. The main goal is to generate a novel type of neuromorphic computing systems including novel algorithms and devices, which can achieve very high performance of artificial intelligence (AI) information processing with low power consumption and which can be very close to biological systems. To reach this goal, we developed biomimetic neural networks. Two systems have been designed, one analog chip and one digital system into FPGA. We present in this brief two applications of these biomimetic neural networks, one in AI with a pattern recognition algorithm and one in neuroscience for understanding the hearing system of Drosophila for designing a new asynchronous low-power sensor system in the future.
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