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Multi-modal action recognition methods can be generally classified into two categories: (1) fusing multi-modal features with simple concatenation or fusing the classification scores of individual modalities without considering the interaction among the multi-modalities; (2) using one of the modalities as privileged information in training to boost the recognition on the other modalities in inference. The former approach usually is not able to deal with the cases where one of the modalities is missing. In the latter, the trained classifier does not work on the privileged modality. To address th...

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks. - GitHub - mlabonne/llm-course: Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

This guide provides a quick overview of what neural networks are as well as explaining a little more about convolutional neural networks and

In natural free surface flows, sediment particles in the surface layer of a sediment bed are moved and entrained by the fluctuating hydrodynamic forces, such as lift and drag, exerted by the overlying flow. Accurate prediction of near-bed hydrodynamic forces in rapidly varied flows is vital for coastal sediment transport and morphodynamics. Directly measured hydrodynamic forces within the rapidly varied flows over rough bed layer have been limited by previous spatial averaging shear force studies. Therefore, the direct measurements were designed and adapted to estimate tidal bore forces, inclu...

Artificial intelligence is being used by researchers at the Department of Physical Education’s Human Movement Laboratory (Movi-Lab) at São Paulo State University (UNESP) in Bauru, Brazil, to assist in the diagnosis and prediction of the progression of Parkinson's disease.