Led by Assistant Professor Kou Li, a research group in Chuo University, Japan, has developed chemically enriched ...

Over the past years, computer scientists have introduced increasingly sophisticated generative AI models that can produce ...

It should probably come as no surprise to anyone that the images which we look at every day – whether printed or on a display – are simply illusions. That cat picture isn’t ...

Mathematical solutions to thorny quantum problems can be found more quickly by exploiting the correspondence between the statistical methods used in deep learning and techniques for implementing ...

Reducing the precision of model weights can make deep neural networks run faster in less GPU memory, while preserving model accuracy.

Color quantization is a method of image segmentation that represents an image using a limited number of colors. Given that an image may contain millions or even billions of pixels, traditional ...

Using this insight, the researchers create two-bit quantization techniques that are both theoretically sound and scalable to LLM-sized models. Based on this realization, they provide a novel technique ...