Due to rapid technology advancement, the industries aim to reduce the manpower by incorporating Artificial Intelligence. For example, the industrial robots have to be intelligent in the sense of having conscious thought to allow them to make decisions that impact their performance and action. There are many successful applications of neural networks, genetic algorithms and fuzzy logic for environment exploration, surveillance missions, collaborative object transportation and many exciting engineering applications. As a field that is connected between its origins in academic research and the need to improve customer experiences by intelligentized the manpower, it can be quite difficult to reconcile mathematical modelling with machine learning models. As both applied and research teams are accelerating on their infrastructure and engineering needs, the area of machine learning engineering will build upon current foundation. To truly blossom, it requires some unorthodox thinkers from data scientists, students, researchers, engineers and management leaders.
The conference provides a platform for all to publish works on the development and use of Mathematics and Artificial Intelligence for emerging areas such as Energy, Health, Education, Manufacturing and Robotics. It reflects the multi-disciplinarily of systems from initial concepts to the modelling and simulation (mathematical relationships), creating graphical-user interface (computing software) and their actual implementations and testing. The conference provides an excellent platform to share applied research results from initial concept to Artificial Intelligence system design.
CFMAI 2020 will be held in Kuala Lumpur, Malaysia – the conference will start with a Registration on 20 November followed by full day(s) of technical sessions consisting of keynote lectures, oral presentations and poster presentations. CFMAI 2020 is hosted by HKSRA.
On behalf of organizing committee
(Prof. Cheng Chin)
Newcastle University in Singapore