Google is internally testing a suite of new AI models for Gemini Live, uncovered via a hidden selector in its app. Seven previously unknown voice AI options, including "Capybara" and "Nitrogen," ...

HiMAP is a Python package for implementing hidden Markov Models (HMMs) and hidden semi-Markov Models (HSMMs) tailored for prognostic applications. It provides a probabilistic framework for predicting ...

Hidden Markov models (HMMs) provide a powerful framework for inferring unobserved processes that evolve over time or space by linking an underlying Markovian state sequence to observed data via ...

Prospective memory (PM)—the ability to form, maintain, and execute delayed intentions—is essential for everyday functioning. Traditionally, PM paradigms relied on repetitive tasks and focused on ...

The amino acid sequence of the transmembrane protein and its corresponding positions on the cell membrane are transformed into a hidden Markov process. After evaluating the parameters, the Viterbi ...

Abstract: We use Markov categories to generalize the basic theory of Markov chains and hidden Markov models to an abstract setting. This comprises characterizations of hidden Markov models in terms of ...

Objective: Hidden Markov models (HMMs) provide interpretable, lower-dimensional temporal representations of data, allowing for missingness. This study aimed to investigate the HMM as a method for ...

When it comes to fashion models, the body diversity revolution appears to be at an end. By Vanessa Friedman Earlier this month, I was standing backstage at the Schiaparelli show in Paris talking to ...

During the past 30 years, Hidden Markov modeling (HMM) has had a big impact in the analysis of biomedical data, with a few important application areas in genomics, natural history modeling, ...

Irritable bowel syndrome (IBS) is a common bowel-brain interaction disorder whose pathogenesis is unclear. Many studies have investigated abnormal changes in brain function in IBS patients. In this ...