McGill University

Text-to-image diffusion models represent an intriguing field in artificial intelligence research. They aim to create lifelike images based on textual descriptions utilizing diffusion models. The process involves iteratively generating samples from a basic distribution, gradually transforming...
Advancements in Artificial Intelligence (AI) and Deep Learning have brought a great transformation in the way humans interact with computers. With the introduction of diffusion models, generative modeling has shown remarkable capabilities in various applications, including...

AI Researchers Including Yoshua Bengio, Introduce A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning

Human consciousness is an exceptional ability that enables us to generalize or adapt well to new situations and learn skills or new concepts efficiently....

A New Study by NVIDIA, University of Toronto, McGill, and Vector Institute Proposes Neural Representation that Enables the Real-Time Rendering of Neural SDFs

Researchers from NVIDIA, the University of Toronto, McGill University, and the Vector Institute led a study that proposed an efficient neural representation that enables...

McGill University, Facebook & Mila Introduces MeDAL: A NLP Pre-training Dataset for Medical Abbreviation Disambiguation With 14M Articles

At EMNLP 2020 (Empirical Methods in Natural Language Processing) Conference, a Montreal-based research team introduced a large medical text dataset designed to improve medical abbreviation disambiguation.  Correct terminology...

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