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Proposer
Alessandro Suglia
Title
Multimodal Playground: an interactive environment for language learning
Goal
Develop a new simulated environment that facilitates learning of AI agents with true multimodal skills
Description
Current large language models learn from static dataset made of text, images or videos. However, a learning agent should be able to learn from the interaction with the world and with other agents. In this project, we will create a simulated environment based on Unity to facilitate learning objects and tasks in a multimodal way.
Resources
https://ai2thor.allenai.org/
Background
Game design, Software development
Url
Difficulty Level
Moderate
Ethical Approval
None
Number Of Students
2
Supervisor
Alessandro Suglia
Keywords
deep learning, neural networks, language models, computer vision, game design
Degrees
Bachelor of Science in Computer Science
Bachelor of Science in Computer Systems
Bachelor of Science in Information Systems
Master of Engineering in Software Engineering
Master of Design in Games Design and Development
Master of Science in Artificial Intelligence
Master of Science in Artificial Intelligence with SMI
Master of Science in Computing (2 Years)
Master of Science in Data Science
Master of Science in Robotics
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