Abstract: Deep learning models in computer vision face challenges such as high computational resource demands and limited generalization in practical scenarios. To address these issues, this study ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

MOREHEAD CITY — Carteret Community College trustees approved conducting a feasibility study for a licensed practical nursing (LPN) diploma program that could help with the area’s nursing shortage. The ...

A new study on quantum computing applications in artificial intelligence reveals that current hardware and algorithms remain far from offering any practical advantage over classical machine learning ...

More pressure has been heaped on the government to reconsider its work with Fujitsu, but despite the supplier’s involvement in the Post Office scandal, its deep roots mean it maintains its grip on the ...

Learn step-by-step how to plan and execute deep learning projects tailored for business success. Boost your company’s AI capabilities with proven strategies! #DeepLearning #AIforBusiness ...

Abstract: Geometric Deep Learning techniques have become a transformative force in the field of Computer-Aided Design (CAD), and have the potential to revolutionize how designers and engineers ...

ChatGPT Deep Research, which is an AI research tool to automate research, is getting support for new connectors (integrations), including Slack. Deep Research is an AI agent that automates research ...

Bolivia — a country battling the highest inflation in three decades, widespread shortages of everything from fuel to medical supplies and a burgeoning crisis of payments — is proving to be one of the ...

Journalists are often celebrated for their ability to ask sharp questions and uncover stories. But after more than two decades as a BBC journalist, I realized that the heart of powerful reporting ...

This study introduces Popnet, a deep learning model for forecasting 1 km-gridded populations, integrating U-Net, ConvLSTM, a Spatial Autocorrelation module and deep ensemble methods. Using spatial ...