22/03/2024.
Large language models have achieved a good performance on different tasks and different data types. However, they often lack of content fidelity and new context creation. These features could help to generate images in a more personalized way.
20/03/2024.
The integration of digital technologies, e.g., smartphone apps, has been shown to represent an impactful advancement in training for melanoma diagnosis.1
19/03/2024.
Expanding the concept of Scaled Dot-Product Attention, Vaswani et al proposed the multi-head attention mechanism.
16/03/2024.
Conformal prediction offers a solution in uncertainty quantification and simultaneously provides a method for instance classification.
15/03/2024.
Artificial intelligence (AI) is at its peak right now. And we know its applications in healthcare are numerous. But when it comes to health data labeling, precision is necessary.
14/03/2024.
The iToBoS project was introduced in the second edition of PhoenixD Magazine.
11/03/2024.
In Machine Learning, a common technique used to train a robust and generalizable model, is cross-validation. It divides the dataset into multiple subsets, where typically one of them is the validation set and the remainder consist the training set.
8/03/2024.
The iToBoS project participated in the Open Innovation Challenge 2024, aimed at meeting innovative solutions and technological challenges within the framework of the Mobile World Congress.
7/03/2024.
The AI, Data, and Data-Dependent Business Models workshop took place between 31 January and 2 February 2024 at Fraunhofer Heinrich Hertz Institute in Berlin.
6/03/2024.
The iToBoS 7th General Assembly (GA) meeting and 6th Project Management Board (PMB) meeting took place on March 6th, 2024 in Girona. Both meetings were hosted and organized by the University of Girona (UDG).