Power supply constraints limit the growth potential of AI companies like OpenAI and Anthropic. Energy infrastructure ...

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced that they have developed a set of quantum algorithms for feedforward neural networks, breaking through the performance ...

Researchers have conducted a systematic review of advanced artificial intelligence algorithms and hardware acceleration techniques applied to material structure design, highlighting significant ...

Abstract: To accurately and robustly solve electromagnetic inverse scattering problems (ISPs), a physics-constrained neural network (PCNN) method is proposed in this work. The method adopts the Born ...

A full 70B-architecture training step in 7.2 GB of memory. SCT stores every weight matrix as W = U diag(s) V^T and never materializes the dense matrix. Gradients flow through the small spectral ...

This repository contains the source code for the paper "Space Correlation Constrained Physics Informed Neural Network for Seismic Tomography", accepted by JGR: Machine Learning and Computation on ...

UAV swarms have shown immense potential for applications ranging from disaster response to military reconnaissance, but ensuring reliable communication in contested environments has remained a ...