CONTAIN™ represents the next breakthrough in AI-powered ore sorting from TOMRA Mining – a deep learning solution purpose-built to classify complex inclusion-type ores with unprecedented accuracy. By ...

To tackle this problem, we propose a Multi-channel Disentangled Graph Neural Network (MD-GraphNet), which effectively ... the effectiveness of MD-GraphNet for semi-supervised node classification.

Although deep convolutional neural networks (DCNNs) and attention-based models have ... that MAMH-DFCNN achieves desirable performance across both binary and multi-class classification tasks, ...

Learn how to train a neural network to recognize hand-drawn digits using PyTorch! A fun and beginner-friendly intro to deep ...

Archaeologists often face major challenges when trying to connect new discoveries with information from old books: How can the findings of 200 years of archaeological research be combined with new ...

This repository contains the code to reproduce the few-shot classification experiments carried out in Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes and ...

@article{raissi2017physicsI, title={Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations}, author={Raissi, Maziar and Perdikaris, Paris and ...

Share My Research is Synced’s column that welcomes scholars to share their own research breakthroughs with over 2M global AI enthusiasts. Beyond technological advances, Share My Research also calls ...