Efficient computing systems for deep learning and combinatorial optimization

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Machine learning-based artificial intelligence has found applications in several important areas, including pattern and voice recognition, robotics and autonomous driving. In particular, combinatorial optimization is key to many intelligent applications, including traffic control and planning, efficient logistic planning and smart power grids. However, machine learning systems need to process a huge amount of data that requires significant resources in computing, memory storage and the communications between them. This issue presents a significant challenge for conventional computing architectures. In collaboration with Huawei Canada, this project will develop efficient computing systems for machine learning and artificial intelligence. To this end, we will pursue several new directions of research, including: A. Hardware-efficient neural networks using approximate and ultra-compact components; B. In- or near-memory processing for handling big data; and C. a new type of computer chips based on the principles of natural computing for efficient combinatorial optimization. This project is fully supported by Huawei Canada, who currently has over 800 employees with offices in multiple Canadian cities, through a joint research program at the U of A. Canada has been known as a stronghold for machine learning research; however, the related industry has been lagging behind international competitors. The outcomes of this project will help fill this gap and promote the Canadian industry to a stronger position in the competition. The project outcomes will lead to more environmentally friendly Information and Communication Technology (ICT) systems and help resolve key challenges in reducing the carbon footprint in the ICT industry. This research takes a truly innovative approach and provides excellent training opportunities for highly qualified personnel (HQP), who will be equipped with skills highly demanded by the high-tech sectors in Canadian industry. The expected outcomes of this project will, therefore, have a profound impact on the long-term growth of the economy and will be of significant industrial and economic importance to Canada.