IEEE

Parallel Hybrid LSTM with Longitudinal Memory: To Handle Longer Sequential Data

Abstract: Long Short-Term Memory (LSTM), a variant of Recurrent Neural Network (RNN), is designed to process and predict sequential information effectively, addressing issues such as vanishing and ...
New Scientist

Quantum neural network may be able to cheat the uncertainty principle

Calculations show that injecting randomness into a quantum neural network could help it determine properties of quantum ...

How neuron groups team up to embed memories in context

Humans have the remarkable ability to remember the same person or object in completely different situations. We can easily ...

'It is basically DLSS. That’s the way graphics ought to be': Nvidia's Jensen Huang has a clear vision for the future of its gaming GPUs and is going to be all about neural ...

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IEEE

Machine Learning-Driven Joint Structuring of WPT Coil and Core for Enhanced Mutual Inductance and Reduced Ferrite Volume

Abstract: Machine learning (ML) algorithms have shown promise in optimizing wireless power transfer (WPT) systems, particularly for electric vehicle charging and medical implants. However, most ...