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 ...
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 Separated Switching PWM Method to Reduce Bearing Currents

Abstract: Bearing currents resulting from inverter controlled electric drives can shorten bearing life significantly. The peak bearing current will occur when PWM switching states overlap within the ...