The Kennedy College of Sciences, Miner School of Computer & Information Sciences, invites you to attend a doctoral thesis defense by Madhavi Pagare on "Causal Learning-Enabled Hierarchical ...

From forgotten neural networks to the deep learning boom and the shift from predictive to generative AI – here’s how machine ...

Point cloud classification, crucial for discriminative 3D shape analysis, has witnessed significant progress through the application of deep learning. A significant research focus has been on ...

For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light ...

Researchers have unveiled the All-Topographic Neural Network (All-TNN), a new AI vision model type that mimics human brain ...

Recent studies on integrating multiple omics data highlighted the potential to advance our understanding of the cancer disease process. Computational models based on graph neural networks and ...

Methods: This study aimed to develop and evaluate a lightweight two-dimensional convolutional neural network (2D CNN) for the automated classification of MPS maturation stages using axial CBCT slices.

These network structure and parameters were chosen after preliminary experiments so that the neural network could perform the country classification task as efficiently as possible. In this study, we ...