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methods, the goal is to enhance the ability to identify and mitigate the risks posed by fraudulent online platforms. Required knowledge Python programming Machine learning background Text analysis Image
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for Empowerment of Marginalised Communities led by Dr Viviane Frings, which aims to enable more effective, culturally-sensitive information dissemination programs and to support recordkeeping and information
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them with existing approaches. Required knowledge Python programming Machine learning background Image analysis Video analysis
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be enrolled in the Bachelor of Nutrition Science (Scholar Program).As a Scholar Scholarship student, you’ll be guaranteed entry into our Master of Nutrition and Dietetics (provided you maintain a 70
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benchmarked against standard manual approaches. In addition to a topped-up PhD scholarship under the AI for Mental Health Next Gen program, Crank intends to hire the full-time PhD student in a part-time role
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The multi-agent path finding problem (MAPF) asks us to find a collision-free plan for a team of moving agents. Such problems appear in many application settings (including robotics, logistics
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desired. Preference will be given to candidates who have strong written and oral communication skills, as well as strong programming skills. It is desirable that the candidates already have research
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background mathematical knowledge, including differential calculus (e.g., partial derivatives) and matrix determinants. The student should also know how to program with either Matlab, Java, or Python. Ideally
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development lifecycle greatly improves its quality and productivity. Here calls for a systematic development lifecycle for the DL systems. Due to the fundamentally different programming paradigm and logic
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D.L. Dowe (1994b), Intrinsic classification by MML - the Snob program. Proc. 7th Australian Joint Conf. on Artificial Intelligence, UNE, Armidale, Australia, November 1994, pp37-44 Wallace, C.S. and D.L