Abstract: This work introduces a new hybrid architecture combining a voltage-controlled oscillator (VCO)-based continuous-time (CT) delta-sigma modulator (DSM) with a noise-shaping (NS) successive ...

Abstract: The use of a VCO-based integrator and quantizer within a continuous-time (CT) ΔΣ analog-to-digital converter (ADC) structure is explored, and a custom prototype in a 0.13 μm CMOS with a ...

Quantization is an essential technique in machine learning for compressing model data, which enables the efficient operation of large language models (LLMs). As the size and complexity of these models ...

Hello, I am trying to create a quantized convolutional neural network using brevitas that has scaling factors equal to 1. However, I can't find how to set the scaling factor. This is the code I use: ...

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I have an error while running jet_substructure example. After training, when running this commad "python3 neq2lut.py--arch jsc-s --checkpoint ./jsc_s/best_accuracy ...

I am an AI Reseach Engineer. I was formerly a researcher @Oxford VGG before founding the AI Bites YouTube channel. I am an AI Reseach Engineer. I was formerly a researcher @Oxford VGG before founding ...

Image parameter values for high dynamic range television for use in production and international programme exchange Superseded ...

This paper proposes a high-speed digital detector for the Internet of Things (IoT) assisted by signal’s intensity quantification. The detector quantifies the amplitude of each pixel of the detected ...

This paper describes a novel energy-efficient, high-speed ADC architecture combining a flash ADC and a TDC. A high conversion rate can be obtained owing to the flash coarse ADC, and low-power ...