Abstract: Deep neural networks (DNNs) have significantly improved the measurement efficiency and feasibility of fringe projection profilometry (FPP). However, the predicted 3-D contour either inherits ...
Alpha Rust implementation of JEPA (Joint Embedding Predictive Architecture) — the self-supervised learning framework from Yann LeCun and Meta AI for learning world models that predict in ...
The orbital angular momentum (OAM) of magnon, which is related to its spiral phase wavefront, shows great application potential benefiting from its attractive physical properties, such as strong ...
MentorPi is a ROS2-compatible robot car powered by the Raspberry Pi 5, designed for AI-driven robotics and Python programming. It offers two chassis options: MentorPi-M1, which features a ...
Quality of life is greatly affected by chronic wounds. It requires more intensive care than acute wounds. Schedule follow-up appointments with their doctor to track healing. Good wound treatment ...
Predicting the antigen binding specificity of the adaptive immune receptor (AIR), i.e. the T-cell receptor (TCR) and B-cell receptors (BCR), is crucial for discovering new immune therapies. However, ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. The knowledge ...
Machine learning and artificial intelligence (AI/ML) methods are beginning to have significant impact in chemistry and condensed matter physics. For example, deep learning methods have demonstrated ...
Encoders are widely used in the motion control and automation industry to monitor the position and speed of motors. This information can be used by the motion control electronics to detect if the ...
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