The scientific work "Explain and improve: LRP-inference fine-tuning for image captioning models.", with the support of iToBoS project, has been published.

Machine learning and specifically deep learning, have dramatically improved the state-of-the-art in many areas of research, including computer vision, speech recognition, and natural language processing.

In this document we present a video on the development of optics for the new generation of scanners of the iToBoS project. The document is in German.

PhoenixD member Prof. Dr. Bernhard Roth and his team are part of the iToBoS project, which the European Union funds with twelve million euros.

If today privacy is mainly discussed in the contexts of maintaining databases and leaks from them, in the near future it will grab headlines and the attention of companies even when it comes to learning and training the machine. The arcile is writen in Hebrew.

Team der Leibniz Universität Hannover ist am Projekt iToBoS beteiligt, das die Europäische Union mit zwölf Millionen Euro fördert.

L’intelligence artificielle est un outil créé par l’humain, et pour l’humain. Il s’agit de près d’un siècle de recherches menées par de grands mathématiciens. D’ajouts continus de nouvelles données. Performante et fiable, l’intelligence artificielle est au service de l’humain. Si elle est au cœur des conversations et questionnements, c’est car elle prend une réelle place.

The work "CLEVR-XAI: A benchmark dataset for the ground truth evaluation of neural network explanations", supported by iToBoS project, has been published.

The scientific work "Explaining Machine Learning Models for Clinical Gait Analysis", with the support of iToBoS project, has been published.

The scientific work "Information Patients With Melanoma Spontaneously Report About Health-Related Quality of Life on Web-Based Forums: Case Study", with the support of partners of iToBoS project, has been published.