News
Tech Xplore on MSN5d
Novel out-of-core mechanism introduced for large-scale graph neural network trainingA research team has introduced a new out-of-core mechanism, Capsule, for large-scale GNN training, which can achieve up to a ...
Tech Xplore on MSN5d
Quantum computing prepwork made faster with graph-based data grouping algorithmQuantum computers promise to speed calculations dramatically in some key areas such as computational chemistry and high-speed networking. But they're so different from today's computers that ...
To put this achievement into perspective, PoX can perform 25 billion operations per second – surpassing the previous world ...
Performance Metrics of the Model: The effectiveness of AI-based hardware Trojan (HT) detection models can be assessed by a range of classification metrics, including accuracy, precision, recall (true ...
Medical Xpress on MSN11d
Researchers Use Machine Learning to Predict Exercise AdherenceThe researchers say machine learning gives them more freedom to study the data. Older methods expect things to follow a ...
The adoption of graph database technologies—such as Neo4j, TigerGraph, AWS Neptune, and Graphwise—has made knowledge graphs more scalable and adaptable across various industries. A key trend is the ...
Tech Xplore on MSN12d
Machine Learning Model Can Predict Material Failures Before They HappenA paper describing their novel machine learning method was recently ... A long short-term memory (LSTM) network modeled how ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback