2/05/2023.
In a past post, we explained that the biggest limitation of liquid lenses is gravity-induced coma aberrations which cause worse optical performance when the lenses are used with their optical axis oriented differently than vertical.
2/05/2023.
In a past post, we explained that the biggest limitation of liquid lenses is gravity-induced coma aberrations which cause worse optical performance when the lenses are used with their optical axis oriented differently than vertical.
1/05/2023.
The Data4Business Days, hosted by EnBW Köln, are a week-long event for the exchange of Data- and AI professionals.
30/04/2023.
On April 28th-30th 2023, 89 Melanoma patients, carers and patient advocates from 24 countries within and outside the European Union met for the first full post-Covid annual MPNE conference by the iToBoS project partner.
28/04/2023.
The decision to integrate liquid lenses into iToBoS’ full-body scanner was taken due to the need to take thousands of pictures in the shortest amount of time.
26/04/2023.
Diffusion models rival and can even surpass GANs on image synthesis, as they are able to generate more diverse outputs by having a better coverage of the data distribution and do not suffer from mode collapse and training instabilities of GANs.
25/04/2023.
Hungary’s oldest still operating medical and health sciences higher education institution, Semmelweis University, invited SZTAKI deputy director and iToBoS colleague Róbert Lovas to give a presentation about European Union-funded projects that foster medical research and innovation.
24/04/2023.
Transformers are deep learning architectures created to solve sequence-to-sequence tasks, such as language translation.
23/04/2023.
Just shy over a year ago, the Quantus toolkit v0.1.1 has been shared with the Machine Learning (ML) community as a pre-print on arXiv.org.
22/04/2023.
iToBoS was discussed in a presentation at the 19th EADO (European Association of Dermato Oncology) Congress, held at Rome, Italy, in April 2023.
21/04/2023.
Explainable Artificial Intelligence (XAI) can not only be employed to get an insight into the reasoning process of an Artificial Intelligence (AI) model.