GD-AIM - Artificial Intelligence and Advanced Visual Computing

Contexte

At the edge between computer science and applied mathematics, Artificial Intelligence (AI) is a constantly growing field, and its recent advances are highly impressive. Its goal is to create intelligent agents or systems capable of operating on their own to achieve difficult goals, such as decision-making or creation tasks. This can be done using the modeling of knowledge and of reasoning mechanisms and/or by relying on statistical learning (from Bayesian models to Deep Learning) where the training data is either collected at once or on the fly. Besides developing these methods, competitive research on their reliability is of primary interest.

Combined with Visual Computing techniques, a part of computer science which studies the processing and simulation of visual information in all its forms (from images and videos to 3D virtual worlds), Artificial Intelligence leads to strong societal impact applications, as for instance:

- Searching the mass of online audio-visual contents, to process, edit or re-arrange them, leading to the creation of new interactive educational or cultural media;

- Controlling drones or autonomous vehicles so that they move according to the surrounding dynamic environment and to some pre-specified rules;

- Synthesizing virtual 3D characters for gaming, online retailing, serious games and simulators, with behaviors matching to some extent those of real humans;

- Designing, fabricating and controlling soft robots dedicated to various difficult tasks, from personal assistance to micro-surgery.

Objectif

The graduate degree Artificial Intelligence and Advanced Visual Computing will provide you with an in-depth understanding of the most recent Artificial Intelligence techniques together with the ability to implement them efficiently. This program responds to the growing demand by companies which aim to recruit researchers and engineers who are able to create new original AI algorithms which are computationally competitive. The particular focus put on visual computing in this training will naturally lead students toward applications related to image processing, virtual worlds, conversational agents or drone navigation.

contenu

This new Master curriculum (opening in September 2018) will strongly focus on Artificial Intelligence, including statistical learning and applications to data science. It will also cover the complementary field of advanced Visual Computing, including 3D computer graphics, virtual and augmented reality, multimodal interaction, computer vision, robotics, and 3D Fabrication, which either make use, or lead to the development of novel AI methods. This curriculum in Artificial Intelligence and Visual Computing is therefore at the heart of digital sciences and of its most promising, recent applications.

domaines d'enseignement

Mathématiques appliquées, Informatique.

compétences acquises

métiers

Upon graduation, students are expected to pursue with a PhD thesis or to join a company directly. Here is a non-exhaustive list of industries that are interested in the profile of students in AI:

- Digital applications for smartphones, computers, or personal assistants (Google, Facebook, Shazam, Apple, Snap);

- Control of autonomous vehicles, drones and robots (Valeo, Audi, Google, BMW);

- Virtual reality, image & video editing, design and simulation of 3D virtual worlds (Ubisoft, Dassault systems, Microsoft, Adobe, Sony, Nintendo)

- E-commerce and online advertisement (Criteo, Amazon, Google, Teads, Cdiscount, FNAC, eBay)

- Financial, banking and insurance sector (BNP Paribas, Société Générale, Barclays, HSBC, AXA).

Although not listed here, many start-ups are in demand of high-quality profiles in Artificial Intelligence and advanced visual computing.

débouchés