When engineers build AI language models like GPT-5 from training data, at least two major processing features emerge: ...
Artificial intelligence (AI) systems, particularly artificial neural networks, have proved to be highly promising tools for ...
Abstract: In recent years, next Point-of-Interest (POI) recommendation is essential for many location-based services, aiming to predict the most likely POI a user will visit next. Current research ...
A federal judge in Alabama has fined and reprimanded a lawyer who used artificial intelligence to draft court filings that contained inaccurate case citations. U.S. District Judge Terry Moorer penned ...
Department of Materials Science and Engineering, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, Pennsylvania 15213, United States Department of Chemistry, Carnegie Mellon University, 5000 ...
To take president Donald Trump’s word for it, America’s cities are in ruins, forcing him to deploy federal troops to Portland, Washington DC, and Memphis. There’s just one wrinkle — no one seems to be ...
This dataset proposes a Weighted Temporal Knowledge Flow Network (WTKFG) framework that integrates patent citation networks and various deep learning models. - ...
Efficient and Privacy-Preserving Artificial Neural Network Model Training With Separated Data in IoT
Abstract: Machine learning models based on artificial neural networks (ANNs) have been widely adopted to support diverse complex applications. However, the training of such models heavily relies on ...
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