A new artificial intelligence approach combines deep learning with physical modeling to extract detailed aerosol properties from complex satellite observations. By learning how light intensity and ...
Building on Ben Bernanke’s widely used recession probability model, we invented a better model using exactly the same ...
"Welcome to the world of RDHNet, a groundbreaking approach to multi-agent reinforcement learning (MARL) introduced by Dongzi Wang and colleagues from the College of Computer Science at the National ...
Knowledge representation is a fundamental aspect of AI, which allows machines to understand, think, and even make choices similarly to humans. By organizing inf ...
Wouldn't it be great if you could just take a picture of yourself with your mobile phone and sew your own clothes—in exactly the right size and fit? The solution is on the way.
Abstract: Sparse-view computed tomography (SVCT) is an advancement in computed tomography (CT) technology that aims to reduce the radiation dose during imaging. Reconstructing high-quality images from ...
Abstract: The Position information is essential for large-scale Internet of Things (IoT) devices and services. Multipath and nonline-of-sight (NLOS) effects introduce additional delays in pseudorange ...
An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...
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