Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...

When the companies disabled HEVC support built into the CPUs of select PCs, it raised uncomfortable questions: Why remove a ...

Abstract: Application of machine learning (ML) approaches has recently expanded within a wide range of domains, including semiconductor devices. Their strong potential resulted in increasing number of ...

Protein engineering is a field primed for artificial intelligence research. Each protein is made up of amino acids; to ...

Quantum dot–based time-bin QKD achieves stable, long-distance secure communication with practical performance.

Numbers are the language of science—yet in research articles, they are often buried within the text and difficult to analyze.

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