When someone starts a new job, early training may involve shadowing a more experienced worker and observing what they do ...

The language capabilities of today's artificial intelligence systems are astonishing. We can now engage in natural ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

Training a neural network follows a process known as backpropagation, which I will introduce in more depth in my next article. Backpropagation is basically pushing changes backward through the ...

“These are neural networks that can stay adaptable, even after training,” Hasani says in the video, which appeared online in January. When you train these neural networks, they can still adapt ...

Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to partly emulate the functioning and structure of biological neural networks. As a ...

For enterprise adoption to achieve its full potential, particularly in mission and safety-critical applications, several ...

Desired or undesired results make the "terrain" in the landscape. As we've said before, gradient descent isn't the only neural network training method, but it is a powerful tool.