GitHub

AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm Quantizer

This repository contains the official PyTorch implementation for the ECCV2024 paper "AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm Quantizer". AdaLog adapts the ...
IEEE

The Effect of the Power Module Structure (Cupper Clip Thickness) on Reliability Under Power Cycling Test

Abstract: Power module is required to be high power density, high current, high reliability and low loss. Especially for xEV fields, high power density and high current are important. Therefore this ...
GitHub

Amazon Bedrock Agents Quickstart

Welcome to our hands-on workshop on building Generative AI Agents using Amazon Bedrock Agents. In this interactive session, you will learn how to harness the power of AI agents and tools to build an ...
IEEE

Supercapacitor Modeling from Cell to Module Level via Robust Single-Test Parameter Identification

Abstract: Supercapacitors-based power supplies are becoming increasingly common for applications that demand rapid and significant power fluctuations. To effectively evaluate their benefits and ...