Security researchers have devised a technique to alter deep neural network outputs at the inference stage by changing model ...

For more than eighty years, deep learning has relied on a simplified model of brain function. Now, a Pittsburgh startup ...

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful.

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...

Researchers at Soongsil University (Korea) published “A Survey on Efficient Convolutional Neural Networks and Hardware Acceleration.” Abstract: “Over the past decade, deep-learning-based ...

Japanese carrier SoftBank has developed a new AI architecture using a Transformer model for radio access networks (RAN), the ...

Artificial Neural Network Architecture Example For image analysis purposes, an image’s pixels are converted into grayscale values and each pixel becomes a numerical input that enters the neural ...

The researchers chose a kind of neural network architecture known as a generative adversarial network (GAN), originally invented in 2014 to generate images. A GAN is composed of two neural networks — ...