Most of the world's information is stored digitally right now. Every year, we generate more data than we did the year before. Now, with AI in the picture, a technology that relies on a whole lot of ...
Abstract: This study introduces AIDE (Artificial Intelligence for Data Extraction and Dialogue in Education), an innovative platform designed to enhance data retrieval and presentation within academic ...
Abstract: Retrieval-augmented Large Models (RALMs) have emerged as a promising paradigm to enhance large language models (LLMs) by integrating external knowledge. However, the inherent complexity of ...
Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...
The ISTA team’s interdisciplinary study combines expertise in information theory, mathematics, genomics, and software engineering. From left to right: Al Depope, Jakub Bajzik, Marco Mondelli, and ...