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 ...

Researchers propose a self-distillation fix for ‘catastrophic forgetting’ in LLMs

LLMs tend to lose prior skills when fine-tuned for new tasks. A new self-distillation approach aims to reduce regression and ...
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, ...
The New York Times

State Terror Has Arrived

After the past three weeks of brutality in Minneapolis, it should no longer be possible to say that the Trump administration seeks merely to govern this nation. It seeks to reduce us all to a state of ...
IEEE

A Phase Current Reconstruction Method for Open-End Winding Permanent Magnet Synchronous Machine to Reduce Immeasurable Regions of High Modulation

Abstract: Aiming at improving the accuracy and reliability of the reconstructed current of open-end winding permanent magnet synchronous machine (OEW-PMSM) systems, a phase current reconstruction ...