Case studies

Artificial intelligence

to handle complex actions

Find out how AI is being used in concrete ways and in different sectors.

MYTEAM artificial intelligence circuit
SAM - Synthesis Analysis Motor

 

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Real-time network anamolia detection systems based on machine learning
The aim of this project is to protect an entire of a computer network by identifying anomalies that could compromise information security working and living conditions. In order to increase the efficiency and speed of detection, the system used for this project was designed on the basis of automatic learning algorithms. enabling the solution to maintain its level of protection whatever the new threat, without the need for human intervention. This technology can be used in a variety of fields, from computer network security to improving the efficiency of the Internet of Things, which has become a trend today.
Analysis of expressive gestures

 

This project completes a 3-year doctoral thesis to design a system improving interaction between humans and humanoid robots. The solution is based on computer vision computer vision techniques and machine learning algorithms that have been trained on thousands of videos from ordinary cameras. The aim of this system is to analyze the mental state of humans according to the way they carry out their daily work. This technique can be used in various fields such as medicine, education, the gaming industry and robotics.

Case studies

Artificial intelligence

to handle complex actions

Find out how AI is being used in concrete ways and in different sectors.

MYTEAM artificial intelligence circuit

Secure your Research Tax Credit declarations by comparing your technical justification with our CIR analysis platform. Its AI-based model, trained on hundreds of real CIR project files, assesses the technical nature of your projects, as well as the quality of the drafting in line with the best practices recommended by the French Ministry of Research. It also assesses the consistency of the amount of expenditure declared in relation to the project's technical justification.

Our platform analyzes your projects securely and encrypted to guarantee confidentiality.

This project completes a 3-year PhD thesis to design a system improving interaction between humans and humanoid robots. The solution designed is based on computer vision techniques and machine learning algorithms that have been trained on thousands of videos from ordinary cameras. The aim of this system is to analyze the mental state of humans according to the way they carry out their daily work. This technique can be used in fields as diverse as medicine, education, the gaming industry and robotics.

The aim of this project is to protect an entireIT network by identifying anomalies that could compromise information security and the comfort of work and life. To increase the efficiency and speed of detection, the system used for this project was designed on the basis of automatic learning algorithms , enabling the solution to maintain its level of protection whatever the new threat, without the need for human intervention. This technology can be used in a variety of fields, from computer network security to improving the efficiency of the Internet of Things, which has become a trend today.