Retrieval Augmented Generation (RAG) systems

9/05/2024.

iToBoS representatives attended the event “Retrieval Augmented Generation (RAG) systems”, organized by Centre of Innovation for Data tech and Artificial Intelligence (CIDAI) online on May 8th, 2024.

Addressing the generalization of 3D registration methods with a featureless baseline and an unbiased benchmark

6/05/2024.

Recent 3D registration methods are mostly learning-based that either find correspondences in feature space and match them, or directly estimate the registration transformation from the given point cloud features.

First scanner prototype: the vision system

2/05/2024.

Initially, the system was engineered so that the first step is to map the patient in 3D from a collection of images acquired by the two cameras of the first group (Lucid Helios2+ and Lucid Triton).

From the first scanner prototype to the final prototype

25/04/2024.

The first prototype of iToBoS, conceived at the project’s initial stages was an innovative design that incorporated several arches.

iToBoS landed in Guadalupe for Nano in Bio 2024

20/04/2024.

iToBoS landed in Guadeloupe, French Caribbean, in the Nano in Bio 2024 International Conference, from April 14th to 20th, with a study conducted by the University of Trieste in collaboration with Elettra Sincrotone Trieste and the IkerBasque Foundation for Science, Vitoria-Gasteiz, Spain.

Ethical AI – Perspectives from Patient Advocates: Ethics and Emerging Technology

19/04/2024.

This blog is the next in a series of 5, to discuss the results of the Ethical AI workshop at MPNE Consensus Data 2024.

iToBoS project presented in Automation & Robotics Expo 2024

14/04/2024.

iToBoS project was presented in A & R Expo, the first Automation & Robotics Expo in Greece, which brought together key stakeholders in the research and industry to showcase the latest advancements and technology in the field of automation and robotics.

Challenges and limitations of AI in pathology

10/04/2024.

Artificial intelligence in medical applications is always faced with a series of difficulties. The challenges range from the quality of input data and model performance to ethical problems.

Foundation Models: The Benefits, Risks, and Applications

9/04/2024.

Foundation models have taken the world of AI by storm. These pre-trained powerhouses have revolutionized natural language processing, computer vision, and speech processing, remarkable advancements in various domains.

Generative AI: Health Care Solutions

8/04/2024.

Generative AI, a rapidly evolving subset of artificial intelligence, transforms how we create and interact with digital content.