AI and 3D imaging technologies in body farms are revolutionizing forensic science, providing precise data on human ...

Imagine a swarm of tiny robots, each about the size of the palm of your hand, spreading out over a wildfire-ravaged community ...

Team Green has succeeded in leaving me excited for the future of upscaling in games with DLSS 4, and I hope AMD can do the ...

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

We designed a two-stage segmentation strategy based on a convolutional neural network (CNN ... without the CaW segmentation step through a popular 3D medical image classification network ResNet1828 ...

Quantum Convolutional Neural Networks (QCNN), as an innovative deep learning framework ... MicroCloud's holographic digital twin technology resource library captures shapes and objects in 3D ...

The core innovation of this technology lies in the design and implementation of the Quantum Convolutional Neural Network (QCNN). The QCNN not only fully replicates the output of classical CNNs but ...

In this study, we propose a novel algorithmic trading model CNN-TA using a 2-D convolutional neural network based on image processing properties. In order to convert financial time series into 2-D ...

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 ...

Learn More A new neural-network architecture developed by researchers at Google might solve one of the great challenges for large language models (LLMs): extending their memory at inference time ...

Red Hat, the IBM-owned open-source software giant, has completed its acquisition of Neural Magic, a pioneering artificial intelligence (AI) optimization startup. Initially announced in November ...