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machine learning

Artezio along with Microsoft, Cisco, and Uber Took Part in Digital Summit Alex Arting Jul 31, 2017

Taking part in major industry-specific events allows Artezio to share expertise with leading developers, clearly define the current industrial trends, and interact with customers. Today Artezio portfolio includes multiple projects that are developed based on the innovative technologies and advanced knowledge.

Useful Tips for Developers: How to Choose a Technological Framework for Machine Learning

Today adoption of machine learning technologies has become the key development trend for software companies. The use of AI determines product competitiveness on the global IT market. However, engineers who are just at the start of AI developments come across a great variety of questions concerning the choice of basic algorithmic approaches to problem solving. In this article, I’d like to describe the main features and use cases of AI in software development.

Problems and Solutions


Testing Artificial Intelligence: from Games to Industrial Apps

Publications on developments in machine learning usually describe not only operating processes of a neural network or an algorithm but also the basis of AI training.

Generally, publicly available datasets recognized by the community are used for training purposes. However, it would be interesting to assess how effectively a system can be trained to the required quality level in another target system that a reader, for example, would like to develop.


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