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New AI-based method reduces latency in neurofeedback by 50-fold

Researchers from HSE University and the Artificial Intelligence Research Institute have successfully lowered the latency between a change in brain activity and the presentation of the corresponding neurofeedback signal by a factor of 50.
Lily Ramsey Alexei Ossadtchi Head Of The Neurointerfaces Group Centre For Bioelectric Interfaces Artificial Intelligence Research Institute Temporal Convolutional Network

"Multi-features fusion for short-term photovoltaic power prediction" by Ming Ma, Xiaorun Tang et al.

In recent years, in order to achieve the goal of 'carbon peaking and carbon neutralization', many countries have focused on the development of clean energy, and the prediction of photovoltaic power generation has become a hot research topic. However, many traditional methods only use meteorological factors such as temperature and irradiance as the features of photovoltaic power generation, and they rarely consider the multi-features fusion methods for power prediction. This paper first...
Temporal Convolutional Network Recurrent Neural Network Convolution Neural Network Northwest China Extreme Gradient Boosting Long Short Term Memory
Source: uow.edu.au

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