Abstract: For robots to perform a wide variety of tasks, they require a 3D representation of the world that is semantically rich, yet compact and efficient for task-driven perception and planning.
Abstract: Graph convolutional networks (GCNs) have become a powerful deep learning approach for graph-structured data. Different from traditional neural networks such as convolutional neural networks, ...
Morning Overview on MSN
Japanese startup reveals 3D graphene for faster-charging batteries
Japanese battery innovators are racing to solve the slow‑charging bottleneck that still frustrates drivers and device makers, ...
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