Discourse relation classification is a fundamental task for discourse analysis, which is essential for understanding the structure and connection of texts. Implicit discourse relation classification aims to determine the relationship between adjacent sentences and is […]
New research reveals that synchronized foot vibrations and posture significantly enhance virtual walking experiences for stationary observers, improving self-motion, walking sensation, and embodiment. Standing posture was most effective, but sitting and lying positions also benefited […]
Automatic bug assignment has been well studied in the past decade. As textual bug reports usually describe the buggy phenomena and potential causes, engineers highly depend on these reports to fix bugs. Researchers heavily depend […]
Last week, quantum computers were added to Australia’s Defense and Strategic Goods List of controlled items facing export restrictions. That’s because quantum technologies—which may soon provide huge advances in computing, communication and sensing—are rapidly growing […]
Researchers from EPFL have developed a next-generation miniaturized brain-machine interface capable of direct brain-to-text communication on tiny silicon chips.This article was originally published on this website.
The most recent email you sent was likely encrypted using a tried-and-true method that relies on the idea that even the fastest computer would be unable to efficiently break a gigantic number into factors.This article […]
Training deep learning models on large datasets is essential for their success; however, these datasets often contain label noise, which can significantly decrease the classification performance on test datasets.This article was originally published on this […]
A research team has developed a computer vision technique that can perform dichotomous image segmentation, high-resolution salient object detection, and concealed object detection in the same framework. Their novel bilateral reference framework (BiRefNet) is able […]
A team of AI researchers and computer scientists at the University of Alberta has found that current artificial networks used with deep-learning systems lose their ability to learn during extended training on new data. In […]
A team of Chinese scientists has established a novel brain-inspired network model based on internal complexity to address challenges faced by traditional models, such as high consumption of computing resources, according to the Institute of […]
© 2024 WhizKids.ca