Abstract: Due to the fact that the Polyvinyl Chloride (PVC) polymerization process is a time-varying, nonlinear process with large time delays, there are many uncertainties and external disturbances ...

Controlling soft robots is challenging due to their complex, nonlinear dynamics. We show that a bio-inspired reservoir computing approach enables the control of a simulated musculoskeletal bio-hybrid ...

Physics-aware machine learning integrates domain-specific physical knowledge into machine learning models, leading to the development of physics-informed neural networks (PINNs). PINNs embed physical ...

A new framework that causes artificial neural networks to mimic how real neural networks operate in the brain has been developed by a RIKEN neuroscientist and his collaborator. In addition to shedding ...

Abstract: The flying-wing aircraft control problem is a major concern. In this paper, a new control strategy is introduced. First, a Feedforward neural network (FNN) modeling is introduced. Then, a ...

NeuralCoref is a pipeline extension for spaCy 2.1+ which annotates and resolves coreference clusters using a neural network. NeuralCoref is production-ready, integrated in spaCy's NLP pipeline and ...

Artificial neural networks (ANNs) mimic biological neural networks in the human brain. ANN consists of an input layer, a hidden layer, and an output layer. Also called neural nets, ANNs are used daily ...

The ability to perceive visual objects with various types of transformations, such as rotation, translation, and scaling, is crucial for consistent object recognition. In machine learning, invariant ...

TensorFlow is an open-source framework developed by Google scientists and engineers for numerical computing. TensorFlow.NET is a library that provides a .NET Standard binding for TensorFlow, allowing ...