InfoQ

Google’s TurboQuant Compression May Support Faster Inference, Same Accuracy on Less Capable Hardware

Google Research unveiled TurboQuant, a novel quantization algorithm that compresses large language models’ Key-Value caches ...
Tech Xplore on MSN

A hardware-software co-design can efficiently run AI on edge devices

A new hardware-software co-design increases AI energy efficiency and reduces latency, enabling real-time processing of ...
Tech Xplore on MSN

Compression technique makes AI models leaner and faster while they're still learning

Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...
IEEE

A Novel Hardware Efficient FPGA Implementation of Multi-Linear Regression Algorithm

Abstract: Multi-linear regression (MLR) algorithm is simple but one of the powerful machine learning algorithms for prediction where output linearly depends on the independent variables. This work ...