When designing a robot, such as Boston Dynamics' anthropomorphic robot Atlas, which appears exercising and sorting boxes, ...

The brain's ability to track orientation and position is essential for memory, navigation, and decision-making. Traditionally ...

Artificial Neural Networks (ANNs) are bio-inspired models of neural computation that have proven highly effective. Still, ANNs lack a natural notion of time, and neural units in ANNs exchange analog ...

AI applications like ChatGPT are based on artificial neural networks that, in many respects, imitate the nerve cells in our ...

Western researchers have developed a novel technique using math to understand exactly how neural networks make decisions—a ...

Neural network models that are able to make decisions or store memories have long captured scientists' imaginations. In these ...

A study by the University of Bonn demonstrates a novel training method for spiking neural networks, which are ...

This article establishes a neural network-based technique for automatic peak picking in 2D NMR spectroscopy, demonstrating a ...

Neural networks are universal function approximations that can learn the dynamics of continuous dynamical systems, including Hamiltonian systems. Furthermore, the neural network of a dynamical system ...

Impact and progress Frontiers' impact Progress Report 2022 All progress reports ...

Abstract: Data-driven human localization technology has been on the rise with advancements in end-to-end Artificial Neural Networks (ANNs) in recent years. Different ...