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 ...

Digital twin technology explained with real-world uses, predictive maintenance, smart manufacturing, and virtual model ...

The landscape for video training data and multimodal foundation models in 2026 is defined by a shift from quantity to highly ...

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Building on the proven foundations of RING and ARTESCA, Scality ADI introduces autonomous operations, cross-media flexibility ...

Data clustering is the process of grouping data items so that similar items are placed in the same cluster. There are several different clustering techniques, and each technique has many variations.

To feed the endless appetite of generative artificial intelligence (gen AI) for data, researchers have in recent years increasingly tried to create "synthetic" data, which is similar to the ...