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
Pre-training multi-billion parameter LLMs on a single GPU with Flora
First, we show how to incorporate Flora into code. Second, we give a high-level overview of how Flora works. Third, we provide benchmark training results. Finally, we compare Flora to the subsequent and closely related GaLore method.
Bayesian Machine Learning: Parameter Space
We investigate Bayesian methods for linear models with a least squares loss. In the Bayesian approach, we no longer aim to find the best set of parameters, but instead compute a probability distribution over possible parameter values and take into account all of these possible values when we make predictions.
Neural Tangent Kernel Applications
In this research tutorial, we consider the implications of the neural tangent kernel (NTK). This edition is part III in our series.
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AutoCast++ Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval
AutoCast++ Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval
T. Sylvain, and J. He.
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ConR: Contrastive Regularizer for Deep Imbalanced Regression
ConR: Contrastive Regularizer for Deep Imbalanced Regression
M. Keramati, L. Meng, and R. David Evans.
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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.
Research Internships
At Borealis AI, we are committed to helping advance the next generation of AI experts. Apply your curiosity to a wide variety of theoretical and applied machine learning projects, with the support from our team and RBC.
Apply nowResearch Internships
At Borealis AI, we are committed to helping advance the next generation of AI experts. Apply your curiosity to a wide variety of theoretical and applied machine learning projects, with the support from our team and RBC.
Apply nowCareers
Artificial Intelligence is reshaping finance. Every day, our teams uncover new opportunities that advance the field of AI, building products that impact millions of people across Canada and beyond. Explore open roles!
Explore opportunitiesCareers
Artificial Intelligence is reshaping finance. Every day, our teams uncover new opportunities that advance the field of AI, building products that impact millions of people across Canada and beyond. Explore open roles!
Explore opportunities