MIL Team Research
We help to research advanced models of Artificial Intelligence in the following directions:
Clients of research teams form the goals of R&D projects. We have highlighted the most common research requests:
Preliminary Research
Preliminary and detailed study of the subject area with the search for scientific articles, available data, and open source in order to obtain a base of materials for a quick dive into a new area and form requirements for future R&D results
Technological Pipeline Development
Development of a complete technological pipeline for solving a problem based on client data, based on existing algorithms and open source in order to obtain a strong basic solution for subsequent modifications and growth of target metrics
Negative Effect Removal
Elimination of a key negative effect in the operation of the existing model: from excessive sensitivity to fluctuations in the data to the quality of work in corner cases. The goal is to grow certain metrics of the customer model within the given constraints
Industrial Pipeline Development
Development of a Proof-of-the-Concept pipeline for solving an industrial business problem based on artificial intelligence algorithms in the absence of known approaches to its solution. The goal is the fundamental possibility of solving such a problem
Quality Optimisation
An overall increase in the quality of solving the target problem on customer data by modifying the base solution and applying State-of-the-Art artificial intelligence models to deliver the highest value to end users
DL Models Compression
Reducing the computational complexity of models with a fixed quality of the solution to the problem by the methods of quantization, pruning and knowledge distillation for subsequent optimization of the AI infrastructure and transfer to devices
The methodology for the implementation of R&D projects developed on the basis of our experience allows us to quickly carry out a full cycle of research and reduce risks
Flexibility
Flexible approach to managing the project scope and transparency of the development process
Methodology
Using the methodology of AI projects to reduce risks and systematically achieve breakthrough results
Qualification
Deep understanding of both basic business needs and the use of SotA AI methods
Iteration
Short iterations with the transfer of a useful and exploitable result
Research results are fully transferred to the client
Software implementation
Easy to use library for with readable and reproducible code
Materials base
Base of materials with reviews for a quick dive into the field and a technical report
Trained Models
Parameters of trained models packed in the format required by the client
Anything else
We can prepare project artifacts in the format required by the customer
MIL Team Research conducted research for
Some Research Results
Have a Project for us? 
Describe the problem you need to solve. We will contact you and clarify all the details!
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