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

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

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

Researchers developed a novel method combining hydrogel-coated microfluidic devices with high-density microelectrode arrays ...

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

Yet, signal transmission is a vital functions for a neural code in ensuring communication among highly specialized brain regions. Feedforward networks with convergent or divergent connections ...

Like a river current, directional connections in neuronal networks propagate signals in a downstream flow from one area to another. A microfluid device has tiny channels that can precisely direct ...

Researchers at Oxford University uncover how deep neural networks possess an intrinsic simplicity bias, enabling them to ...

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep ...

Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized synchronization, ...