Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory ...

A new accelerator chip called 'Hiddenite' that can achieve state-of-the-art accuracy in the calculation of sparse 'hidden neural networks' with lower computational burdens has now been developed. By ...

The core idea is deceptively simple: every observable phenomenon in the entire universe can be modeled by a neural network. And that means, by extension, the universe itself may be a neural network.

How useful a memory is for future situations determines where it resides in the brain, according to a new theory proposed by researchers at HHMI"s Janelia Research Campus and collaborators at UCL. The ...

Here, each neuron is represented as spacecrafts, with their pilots in the cockpits depicted in the shape of protein 3D structures. These spacecrafts collectively process and transmit information to ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of neural network quantile regression. The goal of a quantile regression problem is to predict a single numeric ...