Without a doubt, Artificial Intelligence (AI) is generating a technological revolution comparable to the industrial revolution by consolidating actions related to advanced methods of automatic learning, deep learning, computational intelligence, adaptive and autonomous systems and the application of these in a context such as a computer vision, and natural language processing.
Inria has around 40 research teams in the field of AI, with more than 100 researchers specializing in it. In the last 10 years, Inria and its researchers have published more than 400 scientific articles in Artificial Intelligence.
Inria is one of the world's references in the area of Artificial Intelligence. In France, Inria participated in the development and now coordinates the national strategy for AI. Inria Chile Inria was involved in the proposal for the development of AI in Chile with other public and private actors. The result of that collaborative work was a document called "Artificial Intelligence for Chile: The Urgency of Developing a Strategy."
Discover Inria's white paper on AI
Inria's White Paper on AI is an introduction to the challenges posed by advances in AI research. Based on the contributions of 45 researchers, this reference text invites the reader to unravel the secrets of machine learning, to put some "robot phobia" back into perspective, and even to rethink transhumanism, etc.
Inria Chile participates in the proposal of Artificial Intelligence for Chile.
The proposed Artificial Intelligence Strategy for Chile was born from an initiative of the Senate's Future Challenges Committee, in which members of academia, business, and civil society participated.
Scikit-learn is an open source machine learning library for Python that supports supervised and unsupervised learning. It also provides various tools for model fitting, data pre-processing, model selection and evaluation, and many other utilities.
Green AI, towards an ecologically viable machine learning
Project for the Data Intelligence Office of Sernageomin's National Mining Department, which is part of its digital transformation process.
A precision agriculture system that allows the visualization of the climatic state of a crop, providing a detailed vision of the state of a property.