Brain-inspired and Self-based Artificial Intelligence
Brain-inspired Cognitive AI Lab, Institute of Automation, Chinese Academy of Sciences, China.；Beijing Key Laboratory of Safe AI；Beijing Institute of AI Safety；Key Laboratory of Brain Cognition；Brain-inspired Intelligence Technology, Chinese Academy of Sciences, China.；University of Chinese Academy of Sciences, China.；Department of Philosophy, School of Humanities, University of Chinese Academy of Sciences, China.
The question "Can machines think?" and the Turing Test to assess whether machines could achieve human-level intelligence is one of the roots of AI. With the philosophical argument "I think, therefore I am", this paper challenge the idea of a "thinking machine" supported by current AIs since there is no sense of self in them. Current artificial intelligence is only seemingly intelligent information processing and does not truly understand or be subjectively aware of oneself and perceive the world with the self as human intelligence does. In this paper, we introduce a Brain-inspired and Self-based Artificial Intelligence (BriSe AI) paradigm. This BriSe AI paradigm is dedicated to coordinating various cognitive functions and learning strategies in a self-organized manner to build human-level AI models and robotic applications. Specifically, BriSe AI emphasizes the crucial role of the Self in shaping the future AI, rooted with a practical hierarchical Self framework, including Perception and Learning, Bodily Self, Autonomous Self, Social Self, and Conceptual Self. The hierarchical framework of the Self highlights self-based environment perception, self-bodily modeling, autonomous interaction with the environment, social interaction and collaboration with others, and even more abstract understanding of the Self. Furthermore, the positive mutual promotion and support among multiple levels of Self, as well as between Self and learning, enhance the BriSe AI's conscious understanding of information and flexible adaptation to complex environments, serving as a driving force propelling BriSe AI towards real Artificial General Intelligence.
Digital twin brain: a bridge between biological intelligence and artificial intelligence
Brainnetome Center, Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所脑网络组研究中心）；School of Artificial Intelligence, University of Chinese Academy of Sciences（中国科学院大学人工智能学院）；Research Center for Augmented Intelligence, Zhejiang Lab（之江实验室增强智能研究中心）
A method for the ethical analysis of brain-inspired AI
Uppsala University（乌普萨拉大学）；Biogem, Biology and Molecular Genetics Research Institute（比奥盖姆生物与分子遗传学研究所）；National Research Council of Italy（意大利国家研究委员会）；De Montfort University（德蒙福特大学）；University of Bern（伯尔尼大学）；Institute of Neuroethics（神经伦理学研究所）；University of Nottingham（诺丁汉大学）；Jülich Research Centre（于利希研究中心）；University of Cologne（科隆大学）
Frankfurt Institute for Advanced Studies（法兰克福高等研究院）；Zurich University of Applied Sciences（苏黎世应用科学大学）；University of Zurich（苏黎世大学）；ETH Zurich（苏黎世联邦理工学院）；European Centre for Living Technology（欧洲生命技术中心）
Artificial Intelligence without Restriction Surpassing Human Intelligence with Probability One: Theoretical Insight into Secrets of the Brain with AI Twins of the Brain
Southeast University（东南大学）；Beth Israel Deaconess Medical Center（贝斯以色列女执事医疗中心）；Harvard Medical School（哈佛医学院）；National Neuroscience Institute（国立神经科学研究所）；First Affiliated Hospital of Sun Yat-Sen University（中山大学附属第一医院）；Duke-NUS Medical School（杜克-新加坡国立大学医学院）；National University of Singapore（新加坡国立大学）；Mind PointEye；Tsinghua University（清华大学）；Nanyang Technological University（南洋理工大学）；Singapore AI Safety Institute（新加坡人工智能安全研究所）；Lingnan University（岭南大学）；University of Birmingham（伯明翰大学）；Singapore Eye Research Institute（新加坡眼科研究所）；Singapore National Eye Centre（新加坡国家眼科中心）
A differentiable brain simulator bridging brain simulation and brain-inspired computing
School of Software Engineering, Beijing Jiaotong University（北京交通大学软件学院）；Institute of Software, Chinese Academy of Sciences（中国科学院软件研究所）；Academy for Advanced Interdisciplinary Studies, Peking University（北京大学前沿交叉学科研究院）
Neural Structural Reasoner: A Brain-inspired Architecture for Reasoning over Structured Knowledge
Chinese Institute for Brain Research, Beijing（北京脑科学与类脑研究中心）；Beijing Key Laboratory of Brain Science and Brain-Machine Interface（北京脑科学与脑机接口重点实验室）；Sun Yat-sen University（中山大学）
Brain-inspired Computing Based on Deep Learning for Human-computer Interaction: A Review
Shenyang Institute of Computing Technology, Chinese Academy of Sciences（中国科学院沈阳计算技术研究所）；University of Chinese Academy of Sciences（中国科学院大学）；Heilongjiang Academy of Sciences Intelligent Manufacturing Institute（黑龙江科学院智能制造研究所）
Meta-RegGNN: Predicting Verbal and Full-Scale Intelligence Scores using Graph Neural Networks and Meta-Learning
Université de Sousse（苏塞大学）；Ecole Nationale d’Ingénieurs de Sousse（苏塞国立工程师学院）；Horizon School of Digital Technologies（地平线数字技术学院）；Istanbul Technical University（伊斯坦布尔技术大学）
BrainNet-MoE: Brain-Inspired Mixture-of-Experts Learning for Neurological Disease Identification
The University of Texas at Arlington（德克萨斯大学阿灵顿分校）；Indiana University Indianapolis（印第安纳大学印第安纳波利斯分校）；University of Cambridge（剑桥大学）；University of Sheffield（谢菲尔德大学）；The University of Georgia（佐治亚大学）
The University of Georgia（佐治亚大学）；The University of Texas at Arlington（德克萨斯大学阿灵顿分校）；University of Electronic Science and Technology of China（电子科技大学）；Northwestern Polytechnical University（西北工业大学）；Massachusetts General Hospital（麻省总医院）；Harvard Medical School（哈佛医学院）；ShanghaiTech University（上海科技大学）；Shanghai United Imaging Intelligence Co., Ltd.（上海联影智能科技有限公司）
A Brain-Inspired Trust Management Model to Assure Security in a Cloud based IoT Framework for Neuroscience Applications
University of Padova（帕多瓦大学）；Jahangirnagar University（贾汉吉尔纳加尔大学）；American International University - Bangladesh（孟加拉美国国际大学）；University of Sheffield（谢菲尔德大学）；Anglia Ruskin University（安格利亚鲁斯金大学）；Saitama University（埼玉大学）；University of Stirling（斯特灵大学）
Brain-inspired learning in artificial neural networks: a review
Johns Hopkins University（约翰斯·霍普金斯大学）；University of Cambridge（剑桥大学）；Intel Labs（英特尔实验室）；ML Collective（机器学习联盟）；The Swiss AI Lab IDSIA（瑞士人工智能实验室IDSIA）；University of Maryland, College Park（马里兰大学帕克分校）；University of California, Santa Cruz（加州大学圣克鲁兹分校）
Brain-Inspired Hardware for Artificial Intelligence: Accelerated Learning in a Physical-Model Spiking Neural Network
Kirchhoff Institute for Physics, Heidelberg University（海德堡大学基尔霍夫物理研究所）；Department of Physiology, University of Bern（伯尔尼大学生理学系）；University of Bern（伯尔尼大学）；Heidelberg University（海德堡大学）；Kirchhoff Institute for Physics（基尔霍夫物理研究所）
Brain-inspired Evolutionary Architectures for Spiking Neural Networks
Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所）；University of Chinese Academy of Sciences（中国科学院大学）；Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences（中国科学院脑科学与智能技术卓越创新中心）
Continual Learning of Multiple Cognitive Functions with Brain-inspired Temporal Development Mechanism
State Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Chinese Academy of Sciences（中国科学院脑认知与类脑智能技术国家重点实验室）；School of Artificial Intelligence, University of Chinese Academy of Sciences（中国科学院大学人工智能学院）；Center for Long-term Artificial Intelligence（长期人工智能中心）
