AlphaQubit, a recurrent-transformer neural network, outperforms state-of-the-art decoders in quantum error correction, ...

AI researchers have achieved a milestone by allowing artificial neural networks to learn and evolve in ways that mirror ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

The announcement of the artificial intelligence researchers John Hopfield and Geoffrey Hinton as this year’s Nobel laureates ...

Quantum Machine Learning (QML) is pushing the boundaries of artificial intelligence, merging quantum mechanics with advanced ...

Artificial Intelligence (AI) has made significant strides over the past decades, shaping the way we interact with technology and influencing ...

Artificial Neural Network,Artificial Potential Field,Artificial Potential Field Method,Attention Mechanism,Autonomous Surface Vehicles,Channel Attention,Channel Attention Mechanism,Channel ...

Researchers have shed new light on the biological processes behind neural cell development, which is fundamental for ...

A significant advancement involves extending the QP model to incorporate two output qubits, enabling more scalable and efficient multi-class classification and paving the way for more complex neural ...

A new article examines the convergence of physics, chemistry, and AI, highlighted by recent Nobel Prizes. It traces the historical development of neural networks, emphasizing the role of ...