In a context where artificial intelligence is increasingly infiltrating the core of business strategies, the multiplication of initiatives in machine learning seems promising. Yet, the majority of the models developed never go beyond the experimental stage. They stagnate in notebooks, isolated, never integrated into business processes. This major gap is less explained by the intrinsic … Read more
Artificial intelligence has established itself as an indispensable driver of digital transformation across all sectors, from healthcare to finance. However, its widespread adoption faces a major challenge: understanding the decisions produced by algorithms often perceived as “black boxes.” Explainability is now at the heart of the discussions, embodying the need to make these systems more … Read more
At the dawn of a new technological era, Edge AI is emerging as a major revolution in the field of artificial intelligence. This approach, which consists of executing algorithms directly on mobile devices and other connected devices, profoundly changes data processing and user experience. By bringing artificial intelligence closer to data sources, it significantly reduces … Read more
In a context where the massive collection of personal data raises numerous concerns, the rise of artificial intelligence encounters limits imposed by the need to protect privacy. Federated learning changes the game by proposing a distributed model that respects data confidentiality while allowing collaborative and effective AI training. This revolutionary approach rethinks the classical paradigm … Read more
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
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
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 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
Natural language processing, or NLP (Natural Language Processing), has become an essential pillar in the interaction between humans and machines. In 2025, this technology continues to evolve, transcending linguistic barriers and making digital communication smoother than ever. Whether it’s through voice assistants, chatbots, or instant translation, NLP enables machines to understand and produce language that … Read more
Convolutional neural networks (CNN) have become essential in the field of artificial intelligence dedicated to image processing. Their ability to automatically extract complex features from images gives them a decisive advantage over traditional methods. Inspired by the function of the animal visual cortex, these networks enable machines to visually understand their environment, making possible a … Read more