IEEE

Multiplication-Free Lookup-Based CNN Accelerator Using Residual Vector Quantization and Its FPGA Implementation

Abstract: In this paper, a table lookup-based computing technique is proposed to perform convolutional neural network (CNN) inference without multiplication, and its FPGA implementation is ...
IEEE

An Area-Efficient Lookup-Table -Based eDRAM Digital CIM Macro for Neural Network Inference

Digital circuit is a promising approach to implement computing-in-memory (CIM) architecture for data-intensive applications, such as neural network inference. Previous digital CIM implementations have ...
Microsoft

LUT Tensor Core: Lookup Table Enables Efficient Low-Bit LLM Inference Acceleration

As large language model (LLM) inference demands ever-greater resources, there is a rapid growing trend of using low-bit weights to shrink memory usage and boost inference efficiency. However, these ...
USA Today

PlayStation's Wrap-Up for 2025 is out. Here's how to check yours.

If you thought we were done with this year's wrapped trends, you may be surprised to learn they're still rolling in. The latest comes from PlayStation's Wrap-Up, which reflects on a "momentous year in ...
qualitysafety.bmj

Patient-reported harm from NHS treatment or care, or the lack of access to care: a cross-sectional survey of general population prevalence, impact and responses

Objectives The aim of this article is to provide an estimate of the proportion of the general public reporting healthcare-related harm in Great Britain, its location, impact, responses post-harm and ...