At Borealis AI, we create real-world impact through scientific pursuit. Borealis AI researches, designs, and builds AI products and technologies that transform RBC businesses and shape the future of finance.
Blog
The Neural Tangent Kernel
In this blog, we examine the linear behaviour in infinitely wide networks, and delve into the concept of Neural Tangent Kernel (NTK).
Blog
Gradient Flow
This blog is the first in a series in which we consider machine learning from four different viewpoints. We either use gradient descent or a fully Bayesian approach, and for each, we can choose to focus on either the network weights or the output function.
Blog
Causmos: Machine Intelligence beyond Predictive ML
With the Causmos program at Borealis AI, we aim to build machine intelligence beyond predictive ML for financial services by conducting research in areas such as causality, out-of-distribution (OOD) generalization, reasoning and planning in large language models (LLMs) and reinforcement learning.
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A High-level Overview of Large Language Models
A High-level Overview of Large Language Models
W. Zi, L. El Asri, and S. Prince.
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Top 20 Tutorials for Machine Learning (ML)
Top 20 Tutorials for Machine Learning (ML)
S. Prince.
Learning And Generalization; Natural Language Processing; Reinforcement Learning
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Few-Shot Learning & Meta-Learning | Tutorial
Few-Shot Learning & Meta-Learning | Tutorial
W. Zi, L. S. Ghoraie, and S. Prince.
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RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression
RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression
Y. Gong, G. Mori, and F. Tung. International Conference on Machine Learning (ICML), 2022
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Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate
Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate
*M. Kiarash, H. Zhao, M. Zhai, and F. Tung. The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023
ATOM Foundation Model
Our researchers aim to build ML models capable of making inferences from asynchronous event sequences. Asynchronous event sequences are ubiquitous in personal banking applications – from various types of transaction data to client interactions with RBC banking services.
RESPECT AI™
Responsible AI is key to the future of AI technology, science, development, and adoption. Our RESPECT AI platform contributes knowledge, algorithms, programs, and tooling to help build technology that moves society forward.