(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 ...

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 ...

When it comes to neural network machine learning — recently popularized by artificial intelligence (AI) applications — a team of Bucknell University analytics researchers have found that less may be ...

Most data scientists soon realize that deep learning models can be unwieldy and often impractical to run on smaller devices without major modification. Our friends over at deeplearning.ai recently ...

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 ...

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 ...

“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 ...

AMD is set to reveal a research paper about its technique for neural texture block compression at the Eurographics Symposium on Rendering (EGSR) next week. It sounds like some technobabble, but the ...