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3 course outlines found

1

COMPSCI 703

: Generalising Artificial Intelligence
2025 Semester One (1253)
AI deep learning has significantly advanced image understanding, language modelling, speech recognition, game playing, and more. These developments enable near-human capabilities in text and image generation. Explores highly specialised knowledge in planning, reasoning, explanation, natural language understanding, and knowledge acquisition, and assess their contribution to highly competent, general AI systems. Includes a significant individual research project.
Subject: Computer Science
Prerequisite: 15 points from COMPSCI 361, 367, 761, 762, or COMPSCI 713 and 714
2

COMPSCI 703

: Special Topic: Generalising Artificial Intelligence
2022 Semester Two (1225)
Artificial Intelligence with deep learning has seen recent substantial advances in image understanding and synthesis, NL translation, language modelling, speech recognition and synthesis, simple question answering, game playing, and other intelligence-based skills. This course examines progress towards general, learning-based, solutions to other deep, enduring Artificial Intelligence problems, including planning and reasoning, explanation, natural language understanding and generation, and knowledge acquisition, transfer and use. Recommended preparation: COMPSCI 361, 367
Subject: Computer Science
Prerequisite: Approval of the Academic Head or nominee

Outline is not available yet

3

COMPSCI 703

: Special Topic: Generalising Artificial Intelligence
2021 Semester One (1213)
Artificial Intelligence with deep learning has seen recent substantial advances in image understanding and synthesis, NL translation, language modelling, speech recognition and synthesis, simple question answering, game playing, and other intelligence-based skills. This course examines progress towards general, learning-based, solutions to other deep, enduring Artificial Intelligence problems, including planning and reasoning, explanation, natural language understanding and generation, and knowledge acquisition, transfer and use. Recommended preparation: COMPSCI 361, 367
Subject: Computer Science
Prerequisite: Approval of the Academic Head or nominee

Outline is not available yet