Integrates dynamic codebook frequency statistics into a transformer attention module. Fuses semantic image features with latent representations of quantization ...

Corporate Travel Management will be removed from the Australian Securities Exchange 200 Index, as announced by S&P Dow Jones Indices in its latest quarterly rebalance, effective Dec. 22. The ...

Explore how Quantization Aware Training (QAT) and Quantization Aware Distillation (QAD) optimize AI models for low-precision environments, enhancing accuracy and inference performance. As artificial ...

I am doing LoRA finetuning on a whisper model on multiple GPU's using Deepspeed Zero 3. I am able to finetune the model at float32 precision without any quantization. However, when I quantise the ...

ENOB describes an analog-to-digital converter’s performance with respect to total noise and distortion. In the earlier parts of this series on analog-to-digital converters (ADCs), we looked at the ...

ABSTRACT: Among all unanswered questions in Physics, like quantization of the gravity, fields unification, and so on, the question of the particle mass creation and its mass quantization deserve ...

Specifications such as gain error, offset error, and differential nonlinearity help define an analog-to-digital converter’s performance. In part 1 of this series, we discussed an ideal ...

Abstract: Conventional quantization-based data hiding algorithms used uniform quantization. This scheme may be easily estimated by averaging on a set of embedded signals. Furthermore, by uniform ...