Walking robots, such as quadruped robotic dogs, must be able to move safely through rough, often changing environments. Today ...
Researchers from UNSW Sydney have built the first artificial protein motor capable of taking controlled, directional steps ...
And Schafmeister isn’t the only chemist turning to modular methods of synthesis to explore vast regions of chemical space. It ...
Researchers have developed AdapGNN, a novel model-agnostic framework that addresses the oversmoothing problem in graph neural ...
Diffusion-Augmented Spatiotemporal Graph Convolution for Clinical Gait and Motor Function Assessment
Abstract: Accurate assessment of gross motor function in children with cerebral palsy (CP) is essential for clinical decision-making, yet current practice is limited by data scarcity, severe class ...
In this paper, we consider the strong instability of standing waves for the Hartree equation with a constant magnetic field.
Abstract: Medical chest X-ray (CXR) classification necessitates balancing detailed local feature extraction with capturing broader, long-range dependencies, especially when working with limited and ...
Recent studies generally enhance MLLMs' reasoning capabilities via supervised fine-tuning on high-quality chain-of-thought reasoning data, which often leads models to merely imitate successful ...
This repo is the official implementation of Efficient 3D Recognition with Event-driven Spike Sparse Convolution. It currently concludes codes and models for the following tasks: 3D Classification: See ...
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