Machine Intelligence Laboratory – Medium

Machine Intelligence Laboratory

Machine Intelligence Laboratory

OCR-decisions testing system by MIL Team

Point out the main drawbacks of the existing OCR-decisions testing system and propose our own algorithm.

3 min readApr 13, 2021

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OCR-decisions testing system by MIL Team

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Machine Intelligence Laboratory

Models, bugs & how can we discover them?

In this tutorial, we are going to share the insights about quick and effective detection of bugs in the ML models' performance.

2 min readApr 8, 2021

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Models, bugs & how can we discover them?

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Machine Intelligence Laboratory

Being outside: 5 reasons to launch the project with the external R&D team

In this article, we discuss 5 main factors of making a decision about working with an external outsourced team.

4 min readFeb 16, 2021

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Being outside: 5 reasons to launch the project with the external R&D team

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Machine Intelligence Laboratory

Relative regularization coefficients: ARTM & TopicNet using

By reading this tutorial you will know how to use TopicNet and ARTM libraries for building topic models with regularizers.

2 min readJan 22, 2021

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Machine Intelligence Laboratory

Divide and conquer: research and applied projects in MIL

Why did we decide to separate our two main work directions: Applied AI & Research AI?

4 min readDec 20, 2020

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Divide and conquer: research and applied projects in MIL

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Machine Intelligence Laboratory

The Magic of Denoise: subjective methods of audio quality evaluation

Subjective methods evaluation of denoise models performance: advantages over algorithmic ones & two main metrics.

4 min readDec 11, 2020

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The Magic of Denoise: subjective methods of audio quality evaluation

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Machine Intelligence Laboratory

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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