A new study shows that the physics principle of 'nucleation' can perform complex calculations that rival a simple neural network. The work may suggest avenues for new ways to think about computation ...

Binary digits and circuit patterns forming a silhouette of a head. Neural networks and deep learning are closely related artificial intelligence technologies. While they are often used in tandem, ...

Compared to other regression techniques, a well-tuned neural network regression system can produce the most accurate prediction model, says Dr. James McCaffrey of Microsoft Research in presenting this ...

In this video, we will see What is Activation Function in Neural network, types of Activation function in Neural Network, why ...

A new study, published in Nature Communications this week, led by Jake Gavenas PhD, while he was a PhD student at the Brain Institute at Chapman University, and co-authored by two faculty members of ...

The MAX78000 low-power neural network accelerated microcontroller from Maxim Integrated Products, Inc. moves artificial intelligence to the edge without performance compromises in battery-powered ...