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annum (tax exempt) via a student scholarship managed by Monash University. RACE will also supply up to $3,000 per annum for expenses for the candidate, for items such as a computer, publishing fees
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. [3] Hupkes, Dieuwke, Verna Dankers, Mathijs Mul, and Elia Bruni. "Compositionality decomposed: how do neural networks generalise?." Journal of Artificial Intelligence Research 67 (2020): 757-795.
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an algorithm”? How are existing laws regarding copyright, attribution, prior art, authorship, etc. placed to deal with AI art? Artificial Intelligence has been part of creative practice for over 50 years, so why
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to this mission is the AiLECS (Artificial Intelligence for Law Enforcement and Community Safety) research lab. The AiLECS lab is a joint initiative of Monash University and the Australian Federal Police, and
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to advance social good through its research. Key to this mission is the AiLECS (Artificial Intelligence for Law Enforcement and Community Safety) research lab. The AiLECS lab is a joint initiative of
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to the blind and low vision community. This could be any of the 1000's of graphics we see on a daily basis... whether it be in education, in getting around, in the news, or even in galleries and museums
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of Information Technology has a mission to advance social good through its research. Key to this mission is the AiLECS (Artificial Intelligence for Law Enforcement and Community Safety) research lab. The AiLECS lab is a
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large datasets and developing experimental techniques, including the use of artificial intelligence. There are also opportunities to be involved in the development and testing of new hardware for the next
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Training Program (RTP) Stipend www.monash.edu/study/fees-scholarships/scholarships/find-a-scholarship/research-training-program-scholarship#scholarship-details Be inspired, every day Drive your own learning
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schools as part of the Access Monash Mentoring Program, giving you the opportunity to develop your leadership, public speaking and teamwork skills. The Gandel family have a close connection with Monash