Changed on 28/03/2020
Undoubtedly, 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 their application in context such as computer vision, and natural language understanding.
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 references in the area of Artificial Intelligence. In France, Inria participated in the development and now coordinates the national strategy for AI. In Chile, Inria contributed to the elaboration of the proposal for the development of AI in Chile, which was contained in the document "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 participa en la propuesta de Inteligencia Artificial para Chile
La propuesta de Estrategia de Inteligencia Artificial para Chile nació de una iniciativa de la Comisión de Desafíos del Futuro del Senado, en la cual participaron miembros de la academia, el ámbito empresarial y la sociedad civil.
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.
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, hacia un machine learning ecológicamente viable
En Inria nos planteamos el dilema de que la inteligencia artificial puede ayudarnos a reducir nuestra huella de carbono, pero a la vez, también contamina en su desarrollo...
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