Comment savoir quelles technologies utiliser, implémenter, voire créer de toute pièce afin de répondre aux besoins très spécifiques, voire uniques de certaines entreprises?
IEEE Big Data 2025 signals a shift to secure, hybrid intelligence. CTO Sabri Skhiri unpacks the engineering reality from the conference: the practical shift to embeddings, the real need for security layers, and the limitations of AI agents in production.
We proposed a feature unlearning technique to reduce cancer-type bias, which improved segmentation accuracy while promoting fairness across sub-groups, even with limited data.
This partnership focuses on the technical integration of machine learning models into constrained embedded environments. We provide the architectural rigor required to deploy low-latency, high-throughput AI directly onto STMicroelectronics silicon.