iToBoS project in ISE 2024

2/02/2024.

iToBoS project was present in the Integrated Systems Europe, an international exhibition dedicated to audio-visual and systems integration.

Perspectives for Generative AI at MPNE Consensus on Data Workshop

1/02/2024.

Presentation of the perspectives of generative Artificial Intelligence in melanoma at the MPNEconsensus 2024 by the iToBoS partner Leibniz University Hannover.

Transformers in Dermoscopic Image Classification

29/01/2024.

Dermoscopy is a powerful method used in dermatology to analyze the features of skin lesions.

iToBoS project was presented at 27th Annual Meeting European Dermatology Forum

27/01/2024.

The iToBoS project was presented at 27th Annual Meeting European Dermatology Forum, that took place in Montreux, Switzerland, from 25th to 27th of January, 2024.

Semi-Supervised Learning

25/01/2024.

Semi-supervised learning is a type of machine learning paradigm that falls between supervised and unsupervised learning.

Assessing and Implementing Trustworthy AI Across Multiple Dimensions

22/01/2024.

Artificial intelligence (AI) systems have become more and more prevalent in everyday life and especially in enterprise settings.

Melanoma Education with Generative AI in Dermatology

20/01/2024.

As artificial intelligence (AI) rapidly advances, its integration into dermatology, particularly through Generative Adversarial Networks (GANs), is opening new horizons in patient education and skin cancer diagnosis.

European Commission and WHO/Europe form partnership agreement for Data Sharing and Governance

18/01/2024.

The iToBoS project has previously written on the emergence of policy initiatives, regulatory frameworks and legislative proposals concerning a European Health Data Space.

AudioMNIST: Exploring Explainable Artificial Intelligence for audio analysis on a simple benchmark

15/01/2024.

The scientific work "AudioMNIST: Exploring Explainable Artificial Intelligence for audio analysis on a simple benchmark", supported by the iToBoS project, has been published.

Meta-Transformer

11/01/2024.

Multimodal learning is the challenging task of using data from various modalities to improve the capacity of one model.