eLife Assessment This work models reinforcement-learning experiments using a recurrent neural network. It examines if the detailed credit assignment necessary for back-propagation through time can be ...

Quantum computers still face a major hurdle on their pathway to practical use cases: their limited ability to correct the ...

A multinational team has cracked a long-standing barrier to reliable quantum computing by inventing an algorithm that lets ordinary computers faithfully mimic a fault-tolerant quantum circuit built on ...

“The slightest noise from the surroundings in the form of vibrations, electromagnetic radiation, or a change in temperature ...

AI coding assistants sometimes hallucinate - confidently recommending software packages that don’t actually exist, aka ...

To enhance the efficiency and accuracy of direction of arrival (DOA) estimation, a novel self-calibrating algorithm is introduced, which incorporates channel compression to address array ...

The backpropagation algorithm is a very popular approach to learning in feed-forward multi-layer perceptron networks. However, in many scenarios the time required to adequately learn the task is ...