CoinTelegraph

An overview of graph neural networks (GNNs), types and applications

Graph neural networks (GNNs) have emerged as a powerful framework for analyzing and learning from structured data represented as graphs. GNNs operate directly on graphs, as opposed to conventional ...
Android Police

Transformers: Everything you need to know about the deep learning model

Ben Khalesi writes about where artificial intelligence, consumer tech, and everyday technology intersect for Android Police. With a background in AI and Data Science, he’s great at turning geek speak ...
ZDNet

Meta's 'data2vec' is a step toward One Neural Network to Rule Them All

The race is on to create one neural network that can process multiple kinds of data -- a more-general artificial intelligence that doesn't discriminate about types of data but instead can crunch them ...
VentureBeat

Facebook AI Research applies Transformer architecture to streamline object detection models

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Six members of Facebook AI Research (FAIR) tapped the popular Transformer ...
Semiconductor Engineering

New Neural Processors Address Emerging Neural Networks

It’s been ten years since AlexNet, a deep learning convolutional neural network (CNN) model running on GPUs, displaced more traditional vision processing algorithms to win the ImageNet Large Scale ...