The IAAA course introduces the most recent advances in artificial intelligence and trains students to exploit the associated methods and techniques in innovative applications. The themes covered are machine learning, deep learning, automatic natural language processing, modelling and solving problems based on constraints, and knowledge representation and processing. These topics are particularly relevant to data science and fundamental computer science.

Data is everywhere, increasingly large and complex, coming from various sources such as computers, mobile devices, sensors and social networks. This data is creating new needs and emerging applications that require advanced techniques related to various domains such as Big data, semantic web, internet of things, analytics and data science etc.  It is about managing large, dynamic and varied data that can be linked by complex relationships. The classic functionalities of traditional enterprise information systems are inadequate and insufficient to meet these needs effectively.

This course aims to provide computer scientists with a specialisation in the field of digital imaging. Its particular interest is to deal with : - the design and implementation of image-based applications (production, analysis and transmission of images, virtual reality, 3D animation). - the development of solutions dealing separately or simultaneously with image analysis and synthesis, 3D reconstruction, animation, virtual reality, augmented reality, with the help of artificial intelligence tools.

A natural evolution of the projects carried out in recent years by data science and big data, what is most often referred to as artificial intelligence goes further both in terms of technological requirements and in the broad spectrum of scientific fields concerned: robotics, human-machine interaction, language processing, etc.

Big Data is a strategic priority for businesses of all sizes and sectors. It is a revolution that is bringing sweeping changes to companies and is seen as an essential tool to create value.

Télécom Paris Tech leads three teaching and research chairs related to Big Data, offers a wide range of initial and continuing training programs, and promotes innovation through its incubator, Télécom Paris Novation Center. This brings together approximately fifty research professors, fifty PhD students and about one hundred graduates per year.

The objectives of this training are to :

- To train experts in human-centred AI (HAI), capable of taking responsibility for an activity requiring motion capture, artificial learning and gesture-based interaction.

- To train project managers capable of designing, building and operating interactive systems or intelligent workspaces by enhancing the sensory-motor and cognitive capabilities of the user through a comprehensive knowledge of the business sector and the technology watch.

- Promote interdisciplinary engagement in AI.

The convergence of the fields of High Performance Computing (HPC) and massive data processing (HPDA) is now allowing the creation of intelligent systems that the professional world is taming to invent breakthrough solutions. This convergence requires the development of new interdisciplinary skills with a solid foundation in both mathematics and computer science.

The current training offer only partially covers this field of expertise, while the need for skills is constantly increasing.