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中新网北京8月29日电 (记者 孙自法)记者29日从中国科学院自动化研究所获悉,该所徐波研究员团队联合科研同行最新研究提出一种基于神经调制依赖可塑性的新型类脑学习方法(NACA),实现更高分类精度和更低学习能耗,可极大缓解灾难性遗忘问题,有望进一步引导新型类脑芯片设计。据悉,这一成果为未来智能设备的发展提供了新的可能性,将有助于推动人工智能领域的创新与突破。

【来源】http://www.chinanews.com/sh/2023/08-29/10068873.shtml

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