Abstract: Modular multiplication (MM) involves multiplication and modular reduction. In this brief, we explore an area-efficient modular reduction for MM on FPGA. We analyze and compare the equivalent ...

I have reproduced this project. The qwen-3b-instruct model can combine operations through addition and subtraction but fails to learn multiplication and division, even after I trained it for over ...

POCOMOKE CITY, Md. — The Pocomoke Area Model Train Club is hoping to expand its membership with an open house on October 11. WMDT visited the club headquarters to speak with hobbyists and learn how ...

Chain-of-thought (CoT) prompting is an increasingly popular approach to artificial intelligence (AI) training that boosts models’ reasoning capabilities. The technique prompts large-language models, ...

In a nutshell: Alienware is kicking off the new year by reviving one of its most iconic gaming desktops, the mighty Area-51, as its new flagship. The brand had been available since 1998 before Dell ...

“The only thing we request is to bring nonperishable food items for Friendly Hands Food Bank,” Hales said. The 1,800-square-foot space in the Lewis Street building is filled with realistic scenes ...

Leaf area index (LAI) of alfalfa is a crucial indicator of its growth status and a predictor of yield. The LAI of alfalfa is influenced by environmental factors, and the limitations of non-linear ...

Researchers claim to have developed a new way to run AI language models more efficiently by eliminating matrix multiplication from the process. This fundamentally redesigns neural network operations ...

Deploying large language models (LLMs) on resource-constrained devices presents significant challenges due to their extensive parameters and reliance on dense multiplication operations. This results ...