Abstract: Post-training quantization (PTQ) converts a pre-trained full-precision (FP) model into a quantized model in a training-free manner. Determining suitable quantization parameters, such as ...

Abstract: This paper presents a DFT-IDFT-based minimum-segment calibration technique for SAR ADCs, specifically targeting capacitor mismatch-induced nonlinearity under incoherent sampling conditions.

ADAS calibration tips help shops perform accurate, reliable system calibrations with simple preparation and process control.

Study shows short-term increase in student trust for generative AI programming tools; long-term trust still unclear. Researchers weigh in on what this means for computer science educators. How much do ...

An AI-powered web application for assessing agricultural flood damage using satellite imagery and the Segment Anything Model (SAM). This tool helps organizations quantify flood impact on agricultural ...