Focusing on the frontiers of artificial intelligence, we aim to surpass the limits of basic theories, innovate computing models, increase computing space, and improve computing efficiency through the following efforts:
- Studying the theories and methods in areas such as cognitive computing, machine learning, pattern recognition, knowledge intelligence; and overcoming problems in key technologies such as data mining and forecasting, visual analysis and comprehension, cross-media synthesis reasoning, and brain-like intelligent computing.
- Developing software and hardware systems for devices such as big data intelligent computers, brain-like chips and computers; and building super intelligent computing systems with heterogeneous hybrid architecture.
- Developing open source platforms for artificial intelligence to realize the openness of computing power, data and models; and building generalized open AI platforms in vertical fields such as security and health care.
- Developing edge cloud IoT operating systems and building supporting software platforms based on digital twin technologies.