Specifically, GCN relies on the calculation of the adjacency matrix ... Training loss and verification loss between different algorithms on Cora dataset. t-SNE is a machine learning algorithm for data ...

author={Lei, Huan and Akhtar, Naveed and Mian, Ajmal}, journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, year={2020} } @article{lei2019octree, title={Octree guided CNN with ...

Antimicrobial resistance is a growing health crisis that could lead to millions of deaths by 2050, according to the World ...

Thanks to its capacity to detect patterns and stay consistent, machine learning is a great tool for CNS behaviour studies.

Combining concepts from statistical physics with machine learning, researchers at the University of Bayreuth have shown that ...

Enzymes significantly speed up the chemical reactions that keep you alive. Researchers are using AI to create new ones to tackle modern challenges.

Scientists have developed a geometric deep learning method that can create a coherent picture of neuronal population activity during cognitive and motor tasks across experimental subjects and ...

Accelerated Climate Modeling AI-driven models, particularly Google's NeuralGCM, are leading a revolution in climate modeling.

Finding patterns and reducing noise in large, complex datasets generated by the gravitational wave-detecting LIGO facility just got easier, thanks to the work of scientists at the University of ...

Resolving Ambiguity: How the Brain Uses Context in Decision-Making and Learning Dec. 10, 2024 — Life can be tricky. We have so many decisions to make. It's a good thing we have an orbitofrontal ...

Read the 20 winning stories. By The Learning Network This year’s Super Bowl was likely the biggest wagering event in U.S. sports betting history. Is legalized gambling hurting fans and sports?