WiMi Hologram Cloud is studying a hybrid quantum-classical learning architecture for advanced multi-class image classification applications in artificial intelligence research worldwide.

In this architecture, the training process adopts a joint optimization mechanism based on classical cross-entropy loss. WiMi treats the measurement probability distribution output by the quantum ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

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Future events such as the weather or satellite trajectories are computed in tiny time steps, so the computation must be both ...

A new algorithmic framework that can predict flooding could help save lives and reduce the devastation as climate change drives more intense and unpredictable rainfall.

Even networks long considered "untrainable" can learn effectively with a bit of a helping hand. Researchers at MIT's Computer ...

Neuromorphic computing systems, encompassing both digital and analog neural accelerators, promise to revolutionize AI ...