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Brain Science and Artificial Intelligence

机译:脑科学与人工智能

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摘要

Cognition is the mental action or process of acquiring knowledge and understanding through thought, experience and the senses. The processes can be analyzed from different perspectives within different contexts, notably in the fields of linguistics, anesthesia, neuroscience, psychiatry, psychology, education, philosophy, anthropology, biology, systemic, logic and computer science. So far, we still do not know how many neuron types, neural circuits and networks in our brain. It is important to construct the basis for deciphering brain and developing brain-inspired artificial intelligence (AI). In 2012, Chinese Academy of Sciences started the Strategic Priority Research Program, mapping brain functional connections. This research program tried to set up new research teams for interpreting and modeling the brain function-specific neural connectivity and network. In 2014, we started the Shanghai Brain-Intelligence Project, for translational research and R&D. We tried to map the somatosensory neuron types and their connectivity with single-cell Tech and the trans-synaptic tracers. We were also interested to link Neuroscience and AI development. Our team has produced the deep-learning, neural network processors, and achieved the applications of AI Tech, such as the speech recognition and translation technology, and the bionics of eyes and control system through the physiological, mathematical, physical and circuit models.
机译:认知是通过思想,经验和感官获得知识和理解的精神行动或过程。可以在不同的上下文中从不同的角度分析这些过程,特别是在语言学,麻醉学,神经科学,精神病学,心理学,教育,哲学,人类学,生物学,系统学,逻辑学和计算机科学领域。到目前为止,我们仍然不知道大脑中有多少种神经元类型,神经回路和网络。构建破译大脑和开发受脑启发的人工智能(AI)的基础非常重要。 2012年,中国科学院启动了战略优先研究计划,绘制了大脑功能联系。该研究计划试图成立新的研究团队,以解释和建模特定于脑功能的神经连接性和网络。 2014年,我们启动了上海脑智能项目,用于翻译研究和研发。我们试图绘制体感神经元类型及其与单细胞技术和跨突触示踪剂的连通性。我们也有兴趣将神经科学与AI开发联系起来。我们的团队生产了深度学习神经网络处理器,并通过生理,数学,物理和电路模型实现了AI Tech的应用,例如语音识别和翻译技术以及眼睛和控制系统的仿生学。

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