Recent years have seen a proliferation of specialized ML accelerators—proposed in both academia (e.g., Gemmini, FEATHER) and industry (e.g., Google TPU, Intel AMX)—that depart significantly from ...

Abstract: When planet bearing operates under a complex and variable environment, the fault signal is often coupled with signals from other transmission components and is influenced by the transmission ...

ABSTRACT: This study presents the design and modeling of an Automated Voltage Regulator (AVR) using MATLAB/Simulink, with a comparative performance evaluation against Proportional-Integral-Derivative ...

Adequate mathematical modeling is the key to success for many real-world projects in engineering, medicine, and other applied areas. Once a well-suited model is established, it can be thoroughly ...

This repository contains the official source code for the paper "Spectral vs. Fourier Neural Operators in Parametric PDE Modeling: Analysis and Experiments". This project conducts a systematic ...

First, we install the PyTorch and matplotlib libraries using pip, ensuring you have the necessary tools for building neural networks and visualizing the results in your Google Colab environment. Copy ...

A new technical paper titled “Modeling and Simulating Emerging Memory Technologies: A Tutorial” was published by researchers at TU Dortmund, TU Dresden, Karlsruhe Institute of Technology (KIT) and FAU ...

Many modern datasets are sampled with error from complex high-dimensional surfaces. Methods such as tensor product splines or Gaussian processes are effective and ...

Yuanyuan Shi has been named a 2024 AI2050 Early Career Fellow by Schmidt Sciences. This honor recognizes Shi's work developing AI-driven building control systems to optimize indoor air quality while ...

SC-W '23: Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis It is widely hoped that artificial intelligence will boost ...