The "Visual & Creative Artificial Intelligence” is a two-year master’s program taught entirely in English. It is designed for highly qualified and internationally oriented students and offers high-level scientific courses taught by professors from École Polytechnique and partner companies.
The program's originality is that it teaches you two complementary subjects: artificial intelligence and visual computing. This unique combination will allow you to deeply understand multimodal artificial intelligence and learn how to implement the latest techniques effectively. It will also give you the keys to becoming the next creators of innovative applications that apply artificial intelligence to visual content to provide new solutions to creative tasks.
Artificial intelligence (“AI” in ViCAI) refers to intelligent systems that help perform complex tasks, initially reserved for humans (such as decision-making or creation). While traditional AI (modeling knowledge and reasoning mechanisms) is covered, the program focuses primarily on recent methods of machine learning and deep learning (models that learn from data to perform well-specified tasks), as well as self-supervised learning, reinforcement learning, and generative AI models that have recently emerged.
Visual computing ("Vi" in ViCAI) is about processing and generating multimedia content - from images and videos, texts and sounds to animated 3D virtual worlds. These contents are essential for communication and storytelling, as demonstrated by the diversity of online media and their use in the entertainment industry (films and games). They are also essential for designing and simulating new objects to be manufactured, from product prototypes to buildings, vehicles, or robots. Finally, virtual reality techniques allow users to explore and interact seamlessly with virtual content.
These applications challenge AI to help users with their most Creative tasks (“C” in ViCAI).
This program takes you to the heart of computational sciences and their latest and most promising applications by teaching you how multimodal artificial intelligence and visual computing techniques can be used and combined to solve challenging and creative tasks.
The first year focuses on multimodal artificial intelligence, from the foundations of machine learning to advanced deep learning techniques. A selection of courses covering image processing, computer vision, and 3D computer graphics introduces visual computing. The year ends with a four—to five-month internship.
The second year includes more in-depth courses in machine learning (including deep reinforcement learning and large language models), computer vision, and 3D content creation. It also covers a range of use cases, from embodied conversational agent animation to virtual reality applications, robot navigation, and the design, manufacturing, and control of soft robots.
Thanks to the weekly seminars on " innovation management and entrepreneurship, " which combine conferences by academic and industrial partners, you will also become familiar with the ethical and legal issues raised by the combination of artificial intelligence and visual computing and their most recent applications. The master's degree ends with a second internship, allowing you to work for five to six months on an advanced project in a company's R&D center or a research laboratory.
Our master's program combines training through research and professional experience.
Internships: The Master has developed contacts and several lasting collaborations with world-renowned companies, who are happy to welcome our students for their internships.
Transverse project: During the academic part of the second year, you will spend half a day per week working on a transverse project, aimed at finding solutions to a difficult problem raised either by an industrial partner or by a researcher in a field covered by the program.
Thanks to the AI-VIC master, I got an internship at Valeo.ai where I was lucky to have a chance to publish my first publication at ICCV 2021 which is one of the top conferences in computer vision and machine learning. One thing that I am very thankful for is the good mix of both practical and theoretical skills in the program e.g. reading research papers, programming, working with others… so that I am productive since the first day of my internship and PhD.
More and more companies are looking for researchers and engineers capable of creating new, original and competitive AI algorithms. The emphasis on visual computing in this training will naturally direct students towards applications related to image processing, virtual worlds, product design, conversational agents or robot/drone control.
After graduation, students can pursue doctoral studies in a French or foreign research laboratory or work in companies and start-ups. Professional fields include (non-exhaustive list):
- Virtual reality, image and video editing, films and games: Adobe, Dassault Systems, Disney, Microsoft, Nintendo, Nvidia, Sony,
Ubisoft. - Digital applications for smartphones, computers or personal assistants: Shazam, Google, Meta, Huawei, Wemap.
- E-commerce and online advertising: Amazon, Criteo, Cdiscount, FNAC, eBay.
- Control of autonomous vehicles, drones and robots: Valeo, BMW, Stellantis, Renault, Airbus
- Visual computing and AI in other professional fields: Anatoscope, GE Healthcare (Health), Real estate (Homiwoo), Helsing, Idemia (Security applications).
About a third of our students choose to pursue a doctorate after the master's program, often in the form of CIFRE theses in companies.
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