(A) Illustration of a convolutional neural network (NN) whose variational parameters (T) are encoded in the automatically differentiable tensor network (ADTN) shown in (B). The ADTN contains many ...

“Over the past decade, deep-learning-based representations have demonstrated remarkable performance in academia and industry. The learning capability of convolutional neural networks (CNNs) originates ...

It's still early, but 2023 looks like it'll be remembered as the year 8GB of GPU memory met a premature demise. Just last year, 8GB was fine for most games. But even now, we've already seen multiple ...

If you read this site, chances are pretty good that you've probably played around with a neural image upscaler at some point. These programs, like the popular "waifu2x", use a pre-trained neural ...

It used to be that memory and storage space were so precious and so limited of a resource that handling nontrivial amounts of text was a serious problem. Text compression was a highly practical ...

In context: Games today use highly-detailed textures that can quickly fill the frame buffer on many graphics cards, leading to stuttering and game crashes in recent AAA titles for many gamers. With ...

It used to be that memory and storage space were so precious and so limited of a resource that handling nontrivial amounts of text was a serious problem. Text compression was a highly practical ...