Enhancing parkinson disease detection through feature based deep learning with autoencoders and neural networks

Enhancing parkinson disease detection through feature based deep learning with autoencoders and neural networks

The implementation of the proposed method was conducted in the Jupyter Notebook integrated development environment (IDE).…

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MARBLE: interpretable representations of neural population dynamics using geometric deep learning

MARBLE: interpretable representations of neural population dynamics using geometric deep learning

MARBLE is a representation learning framework that works by decomposing a set of vector fields, representing…

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Right loss function to train the neural networks

Right loss function to train the neural networks

Understanding loss functions for training neural networks Machine learning is very hands-on, and everyone charts their…

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I Wore Meta’s Orion AR Glasses: A Wireless Taste of a Neural Future

I Wore Meta’s Orion AR Glasses: A Wireless Taste of a Neural Future

I wore Mark Zuckerberg’s contact lenses. The pair, which Meta’s Orion AR glasses team grabbed for…

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Machine learning the electric field response of condensed phase systems using perturbed neural network potentials

Machine learning the electric field response of condensed phase systems using perturbed neural network potentials

Clarke, D., Whitney, H., Sutton, G. & Robert, D. Detection and learning of floral electric fields…

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A quantum neural network can see optical illusions like humans do. Could it be the future of AI?

A quantum neural network can see optical illusions like humans do. Could it be the future of AI?

(a) Sketch of the QT-DNN structure. W(n) with n = 1 … 4 are the matrices of the…

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