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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 4 days 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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technology development and commercialization. The Consortium, a coalition of entrepreneurs, technology companies and elite researchers from top universities, is leveraging the power of artificial intelligence
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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), also
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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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. Applicants should have expertise in the application of statistical methods in data science, machine learning, or artificial intelligence. Experience must include the preparation and delivery of course content
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course (INF482H1: Special Topics in Information Studies II: AI) provides a comprehensive introduction to the intriguing world of Artificial Intelligence (AI), covering its historical development
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course (INF2138H – AI in Library Science: Social, Political, Practical Impacts) explores the transformative role of Artificial Intelligence (AI) in the field of library and information science, with a
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also benefit from a world class environment in the broader fields of medical and artificial intelligence research. The position is a critical new addition to the department and is part of a major
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Artificial Intelligence (RAI) is about ensuring that socioenvironmental responsibility is a fundamental and permeating consideration in all stages (conception, evaluation, deployment, monitoring, etc.) of AI