Transformers are a neural network (NN) architecture, or model, that excels at processing sequential data by weighing the ...

Dr. Know-it-all Knows it all explains how Neural Network Transformers work. Neural Network Transformers were first created in 2017. He explains how Transformers remember data better than other neural ...

“Recent advances in deep learning have been driven by ever-increasing model sizes, with networks growing to millions or even billions of parameters. Such enormous models call for fast and ...

The future of computing has arrived in a flash, literally. In A Nutshell Researchers created a computer that performs complex ...

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 ...

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 ...

The machine-learning programs that underpin their ability to “see” still have blind spots—but not for much longer ...

For more than a decade, Alexander Huth from the University of Texas at Austin had been striving to build a language decoder—a tool that could extract a person’s thoughts noninvasively from brain ...