Appears in collection : 3rd Huawei-IHES Workshop on Mathematical Theories for Information and Communication Technologies

Everyday, new deep learning algorithms are trained to solve specific tasks, such as medical images classification. What if we could share and connect those algorithms and create the conditions for a cross-fertilization between these powerful artificial intelligence systems ? In this talk, we will discuss the fundamental role of transfer learning to foster the emergence of collaborative artificial intelligence and show how it can bring the power of big-data-trained deep learning algorithms into the world of medical not-so-big data. As an illustration, we will present a new platform for medical image recognition based on deep transfer learning and collaborative AI.