French version in the pdf document here.
The Ile-de-France region is home to the world’s largest mathematics community, several of France’s largest computer science laboratories, and a dense industrial fabric in Artificial Intelligence. In this extremely rich context, the four main AI institutes – DATAIA, Hi! PARIS, PRAIRIE and SCAI – have joined forces within the “AI4IDF” program to structure and animate the community, and offer to industrial and international partners a unified vision of the exceptional forces at work. The scientific program of the AI4IDF project aims to deepen knowledge in AI while keeping the human in-the-loop. It is divided into four axes: (1) Learning and optimization, (2) NLP and dialogue with humans, (3) Robotics, movement and interaction with humans, (4) AI in human life: health, education and creation.
Applications must be submitted:
Each file must contain:
Eligibility of proposals:
✓ - either between two of the four DATAIA institutes, Hi! PARIS, PRAIRIE and SCAI,
✓ - either between one of the four DATAIA institutes, Hi! PARIS, PRAIRIE, SCAI and a laboratory
or Ile-de-France research unit outside these institutes.
The selection committee is made up of 8 scientists with complementary skills in order to provide expertise on the entire scientific program of the project. It is made up half of members from the establishments and organizations of the project, and half of external French or foreign members recognized for their skills in artificial intelligence.
The members of the selection committee will be required to evaluate projects on which they have no conflict of interest.
The evaluation criteria are as follows:
Communication of results: Monday, May 15, 2023
The research program is based on four major areas, each corresponding to major current issues aimed at integrating AI into the human environment as well as possible, in order to improve its existence.
Much of the recent advances in artificial intelligence, particularly in computer vision and natural language processing, have been achieved using machine learning algorithms and in particular large-scale optimization. . If the successful implementation of learning in these areas requires “business” expertise (physics of training, image, linguistic) and methods adapted to the corresponding constraints (see axes 2 and 3 below), we can identify scientific questions common to all fields of AI impacted by learning and requiring the combination of new mathematical and computational approaches to be tackled and solved efficiently. These constitute the heart of the “learning and optimization” axis, with three main themes.
The second line of research will focus on areas of AI related to language, and will in particular interact automatic language processing (TAL, or NLP, for "natural language processing") and human-machine dialogue (conversational agents, etc.). It will be organized around four major themes, in strong interaction with each other.
For robotics to keep its promises and achieve the expected socio-economic objectives, significant scientific advances therefore remain to be made. They will require both “hardware” experimental platforms benefiting from the latest advances in mechatronics and in the field of sensors and software “intelligence” obtained thanks to fundamental progress in several key areas of AI.
AI has also, through its dissemination as a widely used technique, profoundly modified many other disciplines whose impact in the daily lives of humans is tangible. We will develop these impacts through three areas of application irrigating the various sections of society.