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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 13 hours ago
artificial intelligence from a philosophical perspective. Topics include: the nature of intelligence, comparisons between biological and artificial learning, linguistic understanding and grounding in
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) Description: Course Code: KIN8247H: Artificial Intelligence in Sport Analytics Course description: This course provides a hands-on exploration of artificial intelligence (AI) and machine learning (ML) through
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. The RADIS (Robotics, Artificial Intelligence, Dynamic Flow, Imaging, & Simulation) LAB is a research lab dedicated for NV procedural work, initiated by SMH’s Director of Endovascular Research and Innovation
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of academia, industry, and government that leverages the power of artificial intelligence (AI), robotics, materials sciences, and high-throughput chemistry to create self-driving laboratories (SDLs
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 13 hours ago
skills. Excellent analytical and problem-solving skills. Familiarity with technology and emerging trends in machine learning and artificial intelligence applications within academic libraries. Active
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of academia, industry, and government that leverages the power of artificial intelligence (AI), robotics, materials sciences, and high-throughput chemistry to create self-driving laboratories (SDLs
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of academia, industry, and government that leverages the power of artificial intelligence (AI), robotics, materials sciences, and high-throughput chemistry to create self-driving laboratories (SDLs
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generative artificial intelligence. The Special Projects Officer is responsible for project management and implementation to ensure the work of the Digital Strategies portfolio can be carried out efficiently
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of artificial intelligence within cultural institutions. Research areas can include, but are not limited to: the use of decentralized AI infrastructures within cultural memory activities; federated learning and
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of academia, industry, and government that leverages the power of artificial intelligence (AI), robotics, materials sciences, and high-throughput chemistry to create self-driving laboratories (SDLs