AI Technology & Industry Review
A research team lead by Geoffrey Hinton has created an imaginary vision system called GLOM that enables neural networks with fixed architecture to parse an image into a part-whole hierarchy with different structures for each image.
A new study by NVIDIA, University of Toronto, McGill University and the Vector Institute introduces an efficient neural representation that enables real-time rendering of high-fidelity neural SDFs for the first time while delivering SOTA geometry reconstruction quality.
Researchers from Vector Institute, University of Toronto and Google Brain recently studied three common types of intrinsic motivation across seven agents, three Atari games, and the 3D game Minecraft.
In the new paper Canonical Capsules: Unsupervised Capsules in Canonical Pose, Turing Award Honoree Dr. Geoffrey Hinton and a team of researchers propose an architecture for unsupervised learning with 3D point clouds based on capsules.
What if, instead of hard-coding road rules into self-driving algorithms, AI agents were free to come up with their own ways of safely and efficiently sharing the road?
Launched via the U of T Early-Stage Technology program (UTEST), Canadian startup Bridge7 is applying AI to improve the quality, consistency, and efficiency of cancer treatments.
This research proposes an efficient and cost-effective solution for multi-frame video interpolation.
A team of researchers have proposed a number of “recommendations to data providers, academic publishers, and the ML4H research community in order to promote reproducible research moving forward” in their new paper Reproducibility in Machine Learning for Health.
Chip giant Nvidia today announced the opening of its new AI research centre in Toronto.
Nvidia Director of AI Sanja Fidler will lead the AI Research Lab. The University of Toronto Assistant Professor previously worked at the Toyota Technological Institute in Chicago as a research assistant professor.
Benjamin Sanchez-Lengeling from Harvard University and Alán Aspuru-Guzik from the University of Toronto have successfully applied machine learning models to speed up the materials discovery process. Their paper Inverse molecular design using machine learning: Generative models for matter engineering was published July 27 in Science Vol. 361.
The “Godfather of AI” Professor Geoffrey Hinton told a packed room of professionals and students today that machine learning is reinventing our relationship with our own thoughts.
Canadian Prime Minister Justin Trudeau recently joined the Canadian machine learning community to celebrate the country’s burgeoning AI ecosystem at the University of Toronto Rotman School of Management’s Creative Destruction Lab (CDL).
Toronto’s Vector Institute announced today that it is adding 10 new faculty members, effectively doubling its size.
Notable wearables today include Fitbit wristbands, the Apple watch, Google Glass, and Playstation VR — all of which have gained great market shares. As the data-collecting portal to the IoT, wearables hold many future possibilities.
Canada is determined to build AI superclusters in Toronto-Waterloo, Montréal, and Edmonton.