Researchers from Australia and Bangladesh have developed an artificial intelligence model capable of spotting and ...

Data were input into a 101-layer 3D Convolutional Neural Network with Residual Connections (ResNet-101) with a binary output (HT vs no HT) trained on weighted focal binary cross-entropy loss.

Twelve University of Wyoming projects have been selected for seed funding for the application of artificial intelligence (AI) technologies to various areas of investigation.

These top 10 edge AI chips are designed to accelerate artificial-intelligence workloads without being power-hungry.

This important study shows that the activity of hypothalamic hypocretin/orexin neurons (HONs) correlates with body movement over multiple behaviors. Sophisticated techniques and analyses showcase this ...

In the grand narrative of artificial intelligence, there are few names that command as much respect and admiration as Fei-Fei ...

University of Cincinnati experts will present research at the International Stroke Conference 2025 in Los Angeles.

In this paper, we introduce TMCNet, a novel end-to-end deep learning model that integrates multi-scale 3D convolutional neural networks with Transformer for enhanced feature extraction. First, the ...

To address this challenge, we developed a reconstruction algorithm (Model-CNN) that integrates a diffusion equation model with a convolutional neural network (CNN). The CNN learns a regularization ...

Convolutional neural network has been shown to be able to automatically extract ... 1988), resulting in five corresponding 2D patterns of frequency density as a 3D input instance to the proposed CNNs.

data_utils/make_views_dir.py data_utils/off2obj.py (after 'sudo apt install openctm-tools') data_utils/obj2png.py Or You can create 2D dataset from 3D objects (.obj, .stl, and .off), using ...