By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.
University of Illinois professor Klara Nahrstedt received $275,000 from the National Science Foundation to develop streaming ...
An evnet driven model that uses financial time series data with New York Times information to form a LSTM recurrent neural network. There are 3 models. The first 2 models are based on price and volume ...
The Heisenberg uncertainty principle puts a limit on how precisely we can measure certain properties of quantum objects. But researchers may have found a way to bypass this limitation using a quantum ...
To explain how a convolutional neural network (CNN) processes an image, it is common to generate classification activation maps (CAMs) to reveal image areas that are relevant to output. Nevertheless, ...
Global network connection concept. Big data visualization. Social network communication in the global computer networks. Internet technology. Business. Science. Vector illustration. Royalty-free ...
A brightly colored abstract representation highlighting network connections and the complexity of neural systems using vibrant circular nodes and flowing connecting lines on a dark background. Royalty ...
Introduction: Emotion recognition based on electroencephalogram (EEG) signals has shown increasing application potential in fields such as brain-computer interfaces and affective computing. However, ...
Researchers from the University of Tokyo in collaboration with Aisin Corporation have demonstrated that universal scaling laws, which describe how the properties of a system change with size and scale ...
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