SMU Office of Research & Tech Transfer – After you’ve watched the movie ‘Titanic’, Netflix suggests a list of movies coincidentally containing many of your favourites and new ones that you may like.
The field of interpretability investigates what machine learning (ML) models are learning from training datasets, the causes and effects of changes within a model, and the justifications behind its ...
Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...
A new study by Botond Szabo (Bocconi Department of Decision Sciences) lays the cornerstone for more accurate, reliable, and interpretable distributed computing methods. In the world of big data, when ...
A research team led by Prof. Li Hai from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has developed a novel deep learning framework that significantly improves the ...
A new explainable AI technique transparently classifies images without compromising accuracy. The method, developed at the University of Michigan, opens up AI for situations where understanding why a ...
NTT Research and NTT R&D scientists presented 12 papers at ICML 2025, one of the world’s most prestigious conferences on AI and machine learning. Three papers co-authored by NTT Research Physics of AI ...
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