Transformers and BERT: the revolution in text processing

Word processing, once limited to simple methods of syntactic and statistical analysis, has undergone a profound transformation with the advent of Transformer models. These artificial intelligence architectures, introduced in 2017 by Vaswani and his collaborators, have pushed the boundaries of natural language processing (NLP). The integration of complex attention mechanisms has disrupted models’ ability to … Read more

AutoML: democratizing artificial intelligence

At dawn of 2025, artificial intelligence (AI) continues its integration at the heart of business processes and technological innovations. While the deployment of complex algorithms often remains the domain of experts, a discreet yet powerful revolution is taking place thanks to AutoML, or automated machine learning. This technology frees organizations from the usual constraints associated … Read more

Reinforcement learning: creating an AI that learns through experience

Artificial intelligence (AI) is constantly evolving, getting closer to a capacity for learning similar to that of a human. At the heart of this revolution is reinforcement learning, a method that allows an AI to acquire skills through experience by directly interacting with its environment and adjusting its decisions through a system of rewards and … Read more

Computer vision: mastering visual recognition algorithms

Computer vision is today becoming an essential technology in the global digital and industrial landscape. From advanced robotics to autonomous vehicles, medical imaging, and multimedia search engines, its ability to analyze and understand visual data deeply transforms industries. Image recognition, the heart of this discipline, relies on sophisticated algorithms that enable machines to decipher visual … Read more

The role of mathematics in artificial intelligence

Le rôle des mathématiques dans l'intelligence artificielle

IN BRIEF Use of mathematics to model complex systems. Neural networks and their mathematical foundations. Statistics to analyze and interpret data. Supervised learning and parameter tuning. Modern theories to predict chaotic phenomena. Applied mathematics in operational research. Influence on education and mathematics teaching. Optimization of learning methods through mathematics. Data security via mathematical approaches. Mathematics … Read more