NUS hợp tác nghiên cứu ứng dụng AI vào thành phố thông minh

Thứ tư, 13/10/2021, 13:55 GMT+7

NUS is collaborating with the French National Centre for Scientific Research (CNRS), the Agency for Science, Technology and Research (A*STAR), and Nanyang Technological University in a new S$56 million hybrid artificial intelligence programme to develop solutions that support the creation of smart cities.

As a partner in the DesCartes Programme, NUS will contribute its capabilities in AI, intelligent modelling, analytics and cybersecurity to build smart cities of the future.

The five-year DesCartes Programme, which is funded by the National Research Foundation, Singapore (NRF), aims to enhance real-time decision-making in urban-critical systems, with a focus on individuals and society at large. Based in Singapore at the Campus for Research Excellence and Technological Enterprise (CREATE), the programme will be hosted by CNRS@CREATE. It will tap on the expertise of the CNRS, A*STAR, 18 universities from both Singapore and France, as well as five companies.

“The primary objective of the DesCartes Programme is decision-making in ‘critical urban systems’, which is one of the many key challenges related to the ‘smart city’ concept that many societies are striving towards. The CNRS has made AI and its applications one of its priorities, especially nurturing international partnerships. This is one way to extend the research conducted at Interdisciplinary Institutes of Artificial Intelligence localised in France, and to expand one of its components to include Singapore,” said Dominique Baillargeat, Director of CNRS@CREATE.

One of the Co-Directors of the DesCartes Programme is Professor Abhik Roychoudhury from NUS Computing, who will focus on the foundations of intelligent computing and its translation in the different case studies, for trustworthy integrated decision making in smart cities. He and his NUS team will validate techniques involving formal methods, intelligent control, smart data, and human-AI collaboration on a large number of industrial case studies including electricity network, smart building and future transportation networks. They will also work with the other partners to ensure that the foundational concepts are translated via industrial collaboration.

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