Brain Inspired

Brain-inspired artificial intelligence (BIAI) seeks to improve AI systems by emulating the structure and function of the human brain. Current research focuses on developing neuromorphic hardware and algorithms, such as spiking neural networks (SNNs) and models incorporating principles like Hebbian learning, synaptic plasticity, and cortical architecture, to achieve more efficient, robust, and adaptable AI. This approach holds significant promise for advancing various fields, including robotics, natural language processing, and brain-computer interfaces, by creating AI systems that are more energy-efficient, learn more effectively, and generalize better to new situations.