Abstract: Electromagnetic computational imaging (ECI) offers a promising solution to electromagnetic inverse scattering problems (ISPs). Whereas it is challenged by its ill-posed nature and ...
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
Abstract: The global deployment of the phasor measurement units (PMUs) enables real-time monitoring of the power system, which has stimulated considerable research into machine learning-based models ...
SVG Autoencoder - Uses a frozen representation encoder with a residual branch to compensate the information loss and a learned convolutional decoder to transfer the SVG latent space to pixel space.
The history of human progress is, in many ways, the history of technology’s diffusion. Among these advances, a few—what economists call general-purpose technologies—have had the greatest impact on ...
This repository contains the complete codebase for training and evaluating energy-based diffusion models for molecular dynamics simulations. Our approach enables a single model to perform both ...
Amazon EC2 Trn3 UltraServers powered by AWS's first 3nm AI chip help organizations of all sizes run their most ambitious AI training and inference workloads. As AI models grow in size and complexity, ...
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