Analogue engineering still relies heavily on manual intervention, but that is changing with the growing use of AI/ML.

Can a handful of atoms outperform a much larger digital neural network on a real-world task? The answer may be yes. In a study published in Physical Review Letters, a team led by Prof. Peng Xinhua and ...

University of Birmingham experts have created open-source computer software that helps scientists understand how fast-moving ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).