Explore five free and low-cost AI certifications that help tech professionals build AI skills across cloud, machine learning, ...

Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters ...

Calculations show that injecting randomness into a quantum neural network could help it determine properties of quantum ...

At first glance, it looks like the start of a human pregnancy: A ball-shaped embryo presses into the lining of the uterus ...

Abstract: Weakly supervised semantic segmentation methods can effectively alleviate the problem of high cost and difficult access to annotation in traditional methods. Among these approaches, point ...

India's AI job market has grown by more than 40% year-on-year, with demand for professionals soaring across various ...

Abstract: Contribution: This study identifies the types of interaction that contribute to student learning with student-led tutorials (SLTs). The quality of these interactions include peer discussion, ...

Abstract: Against the backdrop of the increasing trend of aging population in China and even globally, the demand for hand function rehabilitation is growing day by day, and human-machine interaction ...

Abstract: Point cloud completion is to restore complete 3D scenes and objects from incomplete observations or limited sensor data. Existing fully-supervised methods rely on paired datasets of ...

Abstract: Three-dimensional point cloud semantic segmentation is a fundamental task in computer vision. As the fully supervised approaches suffer from the generalization issue with limited data, ...

Abstract: Autonomous underwater vehicles (AUV) play an important role in the process of human exploration of the ocean. However, the existing AUV control methods are faced with the problem of ...

Abstract: The accurate measurement of the flatness of satellite devices is of great significance for the performance of satellites; however, the planes to be measured on satellites have different ...