Hospitals do not always have the opportunity to collect data in tidy, uniform batches. A clinic may have a handful of ...

A new AI-driven technology developed by researchers at UNIST promises to significantly reduce data transmission loads during image transfer, paving the way for advancements in autonomous vehicles, ...

Abstract: Aiming at the shortcomings of traditional convolutional neural network methods in capturing long-range spatial dependencies in fine-grained image recognition due to the restricted sensory ...

Abstract: In the era of large-scale machine learning, large-scale clusters are extensively used for data processing jobs. However, the state-of-the-art heuristic-based and Deep Reinforcement Learning ...