In machine learning, backpropagation is a widely used algorithm for training feedforward artificial neural networks or other parameterized networks with differentiable nodes.

AI transforms RF engineering through neural networks that predict signal behavior and interference patterns, enabling ...

Here, we propose a hardware implementation of the backpropagation algorithm that progressively updates each layer using in situ stochastic gradient descent, avoiding this storage requirement.

New algorithm boosts multitasking in quantum machine learning Date: December 10, 2024 Source: Tohoku University Summary: When a quantum computer processes data, it must translate it into ...

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests.