Unlike conventional IT systems—with bounded entry points, predictable patch cycles, and known vulnerabilities—large language models (LLMs) and ...

ICE wants to build a public-private surveillance loop that transforms everyday online activity into potential evidence.

A coalition of Canadian cancer organizations is improving its system of sharing data in a bid to uncover better treatments for the disease. The initiative is led by a cohort of five facilities across ...

Abstract: Missing data presents a significant challenge in data analysis, affecting the quality of research outcomes. Real-world datasets often cover incomplete information due to various factors such ...

Abstract: The paper discusses the use of clustering methods to segment electrical impedance tomography images when assessing pulmonary perfusion through hypertonic saline injection. The clustering ...