This paper investigates the use of probabilistic neural networks (PNNs) to model aleatoric uncertainty, which refers to the inherent variability in the input-output relationships of a system, often ...

Some methods satisfied some of these requirements but none met all, leading us to develop a novel, interdisciplinary, and pragmatic prediction metasystem through a carefully considered synthesis of ...

A machine learning approach was used to test the new technology on COVID-19 disease and analyze cytokine profile clustering We tested our one-step FCM-based multiple cytokine assay with clinical serum ...

MIT researchers developed SEAL, a framework that lets language models continuously learn new knowledge and tasks.