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: Unstructured point clouds of varying sizes are increasingly acquired in a variety of environments through laser triangulation or Light Detection and Ranging (LiDAR). Predicting a vector ...
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 ...
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 ...
Adequate mathematical modeling is the key to success for many real-world projects in engineering, medicine, and other applied areas. As soon as an appropriate mathematical model is developed, it can ...
Abstract: Hyperspectral tensor completion (HTC) for remote sensing, critical for advancing space exploration and other satellite imaging technologies, has drawn considerable attention from recent ...
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