Learning a hidden Markov model (HMM) is typically based on the computation of a likelihood which is intractable due to a summation over all possible combinations of states and mixture components. This ...

The intelligent estimation of degradation state and the prediction of remaining useful life (RUL) are important for the maintenance of industrial equipment. In this study, the degradation process of ...

Gamma: the probability of being in state i at time t given the observed sequence O and the parameters θ. Epsilon: the probability of being in state i and j at times t and t+1 respectively given the ...

AI doesn’t replicate human thought—it bypasses it entirely, operating in a way that diverges from our minds even as we keep ...

As Large Language Models (LLMs) are widely used for tasks like document summarization, legal analysis, and medical history evaluation, it is crucial to recognize the limitations of these models. While ...

OpenAI researchers say they’ve discovered hidden features inside AI models that correspond to misaligned “personas,” according to new research published by the company on Wednesday.

Fellow model Nicole Trunfio was among those shocked at the news, as was Jessica Gomes. “So many emotionsï¸ . Get better soonï¸ ‍. Miss you and the babes and a NOVEL. I cannot (wait) to read!

"Supported by MAARS, clinicians can deliver personalized care to their patients and protect them appropriately from SCDA ...

Multimodal AI for ventricular Arrhythmia Risk Stratification (MAARS), predicts individual patients' risk for sudden cardiac ...

If U.S. systems are adapting our models to improve elder care, we should be the first to formalize, fund, and scale them. That means: Strengthening community health extension programs ...

Imagine a world where every smart device, from traffic sensors to wearable health monitors, can seamlessly communicate. This vision is at the heart of Massive Machine Type Communication (mMTC), a ...