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At its core, most AI systems today use neural networks. These networks are composed of nodes (akin to neurons) connected by ...
Abstract In the age of information, where the line between reality and fiction is increasingly blurred, deepfake technology ...
The advent of AI as a widely available business tool has given rise to numerous applications that are proliferating at a ...
Researchers pioneered the integration of CNN-LSTM with bond stress-slip constitutive modeling and proposed a deep ...
In a recent advance, a multi-disciplinary team of researchers developed a machine learning framework that adapts to changes ...
Breakthrough light-powered chip speeds up AI training and reduces energy consumption. Engineers at Penn have developed the ...
AI is embedded in frontline diagnostics and decision-making systems. Machine learning models, trained on clinical datasets, ...
A new study titled "An Efficient Method for Early Alzheimer’s Disease Detection Based on MRI Images Using Deep Convolutional ...
A new communication-collective system, OptiReduce, speeds up AI and machine ... network periods and lengthen during busy periods. While some information is lost in the process, OptiReduce leverages ...