Nvidia’s new technique cuts LLM reasoning costs by 8x without losing accuracy

Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...
InfoWorld

Reactive state management with JavaScript Signals

Learn how frameworks like Solid, Svelte, and Angular are using the Signals pattern to deliver reactive state without the ...
IEEE

A Method to Reduce the Size of Reflector of One Dimensional Mirrored Aperture Synthesis Based on Reconfigurable Intelligent Surface

Abstract: This paper introduces reconfigurable intelligent surface (RIS) into One Dimensional Mirrored Aperture Synthesis (1-D MAS). The forward model of 1-D MAS based on RIS is derived and the ...
IEEE

A Method Based on Vector-Summing to Reduce Output Power Fluctuation for EV-DWPT System With the Passive LC Network

Abstract: Due to the decrease in coupling in the transition area of the primary segment, an undesired fluctuation in output power is expected for most existing solutions. This article, therefore, ...