Current research interests of the Brain-inspired Cognitive AI Lab include but not limited to:
Brain-inspired Cognitive Intelligence Engine (BrainCog) is a brain-inspired neural network based platform for realizing Brain-inspired Artificial Intelligence, and simulating the cognitive brains of different animal species at multiple scales. The ultimate goal and long term efforts of BrainCog is to provide a comprehensive theory and systems to decode the mechanisms and principles of human intelligence and its evolution, and develop artificial brains for brain-inspired conscious living becomings for the future human-AI symbiotic society.
BORN is an Artificial Intelligence Engine based on Brain-inspired Spiking Neural Networks. The ultimate vision of BORN is to achieve living Artificial General Intelligence, as a new type of evolutionary becoming, and as a moral and ethical member of the future symbiotic society. The near term goal of BORN is a self enabled learning AI powered by spiking neural networks that can coordinate various cognitive functions in a self organized way to solve complex problems. BORN is powered by BrainCog, the Brain-inspired Cognitive Intelligence Engine.
In order to simulate the cognitive brain at multiple scales, efforts in the form of data and literatures for understanding how the brain works need to be synthesized and well organized in a structured way. The efforts in this direction are under the framework of the Linked Brain Data (LBD) project. This project is an effort for extracting and linking Brain and Neuroscience data and knowledge from multiple scales and multiple data sources together. The LBD platform provides services for neuroscience knowledge extraction, structured neuron data representation, neuron data integration, visualization, analysis, semantic search and reasoning over the integrated Neuron data. More than 5 million knowledge triples about the brain were extracted and synthesized from various sources (including unstructured source such as all the scientific papers from PubMed, and structured source such as NIF and NeuroLex). The Brain Association Graph, which contains the relationships among cognitive functions, brain diseases and brain building blocks at multiple scales (including more than 1 million knowledge triples extracted from PubMed articles and Wikipedia pages, etc.) is the core of LBD that connects various understanding of the brain together.