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 ...

Scientists have developed a deep learning–based approach that boosts plasma prediction on nuclear fusion by 1,000 times. The approach accelerates the computation of a nonlinear Fokker–Planck ...

By employing multimodal data fusion, merging traffic volumes, weather patterns, and vehicle telemetry, the system boosts the ...