In an era of ever-expanding astronomical research, the need for tools capable of swiftly classifying vast numbers of ...

A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after ...

Self-supervised learning is a machine learning approach that trains on unlabeled data, extending generalizability to real-world data. While it excels at identifying objects, a task called semantic ...

A multimodal neural network integrating morphology and spectral energy distribution data improves classification accuracy for ...

Researchers from the Yunnan Observatories have developed a neural network method for classifying large-scale celestial ...

Estimating the pose of hand-held objects is a critical and challenging problem in robotics and computer vision. While leveraging multi-modal RGB and depth data is a promising solution, existing ...