IEEE

An Encoder–Decoder Model Based on Spiking Neural Networks for Address Event Representation Object Recognition

Abstract: Address event representation (AER) object recognition task has attracted extensive attention in neuromorphic vision processing. The spike-based and event-driven computation inherent in the ...
Scientific Research Publishing

Chen, H., Zhang, Y., Kalra, M.K., Lin, F., Chen, Y., Liao, P., et al. (2017) Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network. IEEE Transactions on ...

ABSTRACT: Magnetic Resonance Imaging (MRI) is commonly applied to clinical diagnostics owing to its high soft-tissue contrast and lack of invasiveness. However, its sensitivity to noise, attributable ...
Frontiers

Physics-guided deep neural networks for bathymetric mapping using Sentinel-2 multi-spectral imagery

1 School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China 2 Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China ...
Scientific Research Publishing

Daniel, G.V., Chandrasekaran, K., Meenakshi, V. and Paneer, P. (2023) Robust Graph Neural-Network-Based Encoder for Node and Edge Deep Anomaly Detection on Attributed Networks ...

ABSTRACT: Drug repositioning aims to identify new therapeutic applications for existing drugs offering a faster and more cost-effective alternative to traditional drug discovery. Since approved drugs ...
Computerworld

Is Microsoft’s new Mu for you?

Call it the return of Clippy — this time with AI. Microsoft’s new small language model shows us the future of interfaces. Microsoft announced this week a new generative AI (genAI) system called Mu, ...
ahajournals.org

Abstract P3089: Predicting Reductions In Hemoglobin A1c From Large Dietary Datasets Using Artificial Intelligence Pipeline With Interpretable Encoder-Decoder Deep Neural Networks

Introduction: Artificial intelligence algorithms can help understand and predict the complex interactions between dietary intake and health outcomes, especially from large datasets. Precision ...