Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn ...

Abstract: Objective: Aiming to quantify and analyze disease-induced alterations in human movement, we explored the co-joint synergy patterns in locomotion through a vision-based co-joint synergistic ...

Abstract: This letter proposes an efficient iterative method assisted by an artificial neural network (ANN) for pattern synthesis of arbitrary conformal arrays. Relying on a fast and accurate ...

Introduction: Hip exoskeletons can lower the metabolic cost of walking in many tasks and populations, but their assistance patterns must be tailored to each user. We developed a simulation-based, ...

Everybody is about algorithmic processes and feed manipulation, but is that really new? What if the algorithm powering your Google search results and the predictive text on your phone originated from ...