The Machine Learning frameworks we’ve used at Borealis AI have varied according to individual preference. But as our applied team grows, we’re finding that a preference-based system has certain shortcomings that have led to inefficiencies and delays in our research projects.
Prof. Tamara Broderick talks with Borealis AI about tradeoffs in variational inference, the need for understanding the underlying assumptions in ML algorithms and models, and improving ease of use of this machinery for non-experts.
Borealis AI is continuing to expand its artificial intelligence research team across Canada with the addition of Professor Pascal Poupart of the University of Waterloo and Professor Marcus Brubaker of York University. Both join as senior researchers.