Abstract: In this paper, an adaptive fixed-time control approach is designed for a robot with dynamic uncertainty in the presence of input quantization by using the Broad learning system (BLS). The ...
Abstract: The linearity of Sigma Delta Modulators (SDMs) is typically evaluated by performing a Fourier Transform of the output bitstream. However, the presence of quantization noise in the output ...
Vector Post-Training Quantization (VPTQ) is a novel Post-Training Quantization method that leverages Vector Quantization to high accuracy on LLMs at an extremely low bit-width (<2-bit). VPTQ can ...
EDITOR’S NOTE: This story was updated to reflect the person of interest detained Sunday was being released. Saying the “evidence now points in a different direction,” law enforcement officials late ...
2,397 golden retrievers, and their owners, converged on a park in Buenos Aires, Argentina, on Monday morning to set a new Guinness world record. Our next story has big golden retriever energy, and by ...
ABSTRACT: This paper develops the second stage of quantization in the NUVO scalar-conformal framework, extending the arc-closure geometry of Quantization I to include loop structures and circulation.
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