Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

AI for Quality and Efficiency in Radiology Artificial intelligence (AI) is increasingly being leveraged in radiology to enhance image quality and streamline operations. In busy CT and MRI departments, ...

The study, titled Reinforcement Learning for Monetary Policy Under Macroeconomic Uncertainty: Analyzing Tabular and Function ...

Abstract: With the rapid development of computer vision technology, image classification algorithm based on deep learning has become a hot research and application field. At present, the mainstream ...

Abstract: This research centers on the image processing algorithm for photovoltaic panels based on self-supervised learning, aiming to enhance the accuracy and efficiency of defect detection and state ...

A reward shaping deep deterministic policy gradient (RS-DDPG) and simultaneous localization and mapping (SLAM) path tracking algorithm is proposed to address the issues of low accuracy and poor ...

This Research Topic gathers different contributions highlighting novel types of bio-inspired mathematical models with neuroimaging and physio-signal data, mainly applied in medical and industrial ...

"How to crop an image is a decision best made by people." After social media exploded with allegations that Twitter's image-cropping algorithm had a racial bias, the company said it investigated and ...