Also, existing 3D segmentation methods capture more global structural information but overlook local detailed features, which negatively impacts the segmentation of small tissues. In this paper, we ...

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Here, we use a 3D electric network model to study the fundamentals of the constriction effect. Our findings suggest that dynamic constriction as a non-local effect cannot be captured by conventional ...

Google Beam turns 2D video streams into 3D experiences using AI It uses multiple webcams and light field display for depth and realism The system includes head ...

which they demonstrated in 2D/3D perovskite solar cells. A n-i-p champion perovskite solar cell had a power conversion efficiency of 25.9%, retaining 91% of the initial performance after 1,074 ...

Analog neural network modules (fully connected layer, 1d/2d/3d convolution layers, LSTM layer, sequential container). Analog training using torch training workflow: Analog torch optimizers (SGD).

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Recent advances in additive manufacturing techniques, particularly three-dimensional (3D) printing and four-dimensional (4D) printing have enabled the production of different parts of robots, ...

However, due to the high computation cost and memory burden, it is largely limited to 2D applications. To address these challenges, we developed a novel 2.5D Multi-view Averaging Diffusion Model (MADM ...

Matrix3D utilises a multimodal diffusion transformer (DiT) The model was developed in partnership with Nanjing University and HKUST It is an open-source model available for download on GitHub ...