"ColdFusion is your gateway to understanding the past, present, and future of technology and innovation. Discover ...

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

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 ...

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 ...

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, ...

Titans architecture complements attention layers with neural memory modules that select bits of information worth saving in the long term.

A collaborative team of researchers from Carnegie Mellon University and the University of Pittsburgh designed a clever experiment using a brain-controlled interface to determine whether one-way ...