Huawei’s Zurich Computing Systems Laboratory has released SINQ (Sinkhorn Normalization Quantization), an open-source quantization method that reduces the memory requirements of large language models ...
This is the official implementation of our paper GaussianImage, a groundbreaking paradigm of image representation and compression by 2D Gaussian Splatting. With compact 2D Gaussian representation and ...
ABSTRACT: In the past decade, Internet Of Things (IOT) technology has become one of the fastest-growing and most widely used technologies and is rapidly becoming a basic feature of global civilization ...
This project aims to integrate BBQ into the OpenSearch k-NN plugin to offer users a memory-efficient alternative, ideal for large-scale vector workloads in constrained compute environments. The ...
A research team led by Associate Prof. Wang Anting from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences (CAS) proposed a method for multidimensional ...
Skullcandy isn’t a name that usually comes to mind when you think of premium headphones. The Utah-based company has primarily made its name in the budget space, selling more on low prices and loud, ...
A classic gaming laptop, that makes up for its lack of battery performance or pencil-thin chassis design with serious gaming frame rates even outside of its cacophonous Extreme Performance mode. PC ...
ABSTRACT: Breast cancer remains one of the most prevalent diseases that affect women worldwide. Making an early and accurate diagnosis is essential for effective treatment. Machine learning (ML) ...
Abstract: In recent years, few-shot detection has become a popular research direction in the field of industrial defect detection, which aims to perform defect detection tasks accurately using a ...
1 School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China 2 State Grid Henan Electric Power Company Information and Communication Branch, Zhengzhou, China Human ...
Abstract: TinyML enables the deployment of Machine Learning (ML) models on resource-constrained devices, addressing a growing need for efficient, low-power AI solutions. However, significant ...