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: 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 ...
FIFEMLab provides user friendly Matlab tools to generate 2D triangular meshes, solve PDEs with the Finite Element method and solve inverse parameters problems. It is fully object oriented in order to ...
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 ...
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 ...
Abstract: Spatial accelerator is a specialized hardware to provide noticeable performance speedup for tensor computations. It also brings a challenge to map tensor computations on spatial accelerators ...
Abstract: Over the past few years, Brazils increasing dependence on electricity has caused a continuous growth in demand and, therefore, the need to guarantee long-term energy supply to costumers.
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