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Machine Intelligence Laboratory
  1. The reason why building OCR — decisions testing system is not a trivial matter.


1. Playing "may haves"

The most proper way of detecting bugs in a model's performance is to go through the results, which are…



Why do we need regularizers?

Building the topic model for a collection of documents helps us to recognize the topics of the documents and determine the words describing these topics. If we want the model to have certain properties, regularizers are the best solution.

What about the relative coefficients of regularization?

The first step of building a regularized topic model is to select the hyperparameter — regularization coefficient τ showing how strong the regularizer affects the model. The optimization of this coefficient is a challenging task as its value depends on various…



  • the advantages of manual annotation for audio quality evaluation over automatic methods;
  • two main subjective metrics applied in the audio denoising task;
  • the features of noise intensity level evaluation;
  • the ways…

Machine Intelligence Laboratory

MIL. Team is the united and professional group of researchers, developers and engineers conducting R&D projects in the field of Artificial Intelligence.

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