Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

A self-driving car moves through traffic one moment at a time. A bus blocks part of the road. Rain throws reflections across ...

Large-scale applications, such as generative AI, recommendation systems, big data, and HPC systems, require large-capacity ...

A375, HEK293T, Sk-Mel-3 and Sk-Mel-24 cell lines were obtained from the American Type Culture Collection. A375 and HEK293T cells were maintained in ...

A study on vector database and AI integration identifies unstable indexing, weak cross-modal fusion, and rigid resource ...

Google Research unveiled TurboQuant, a novel quantization algorithm that compresses large language models’ Key-Value caches ...

Conservation levels of gene expression abundance ratios are globally coordinated in cells, and cellular state changes under such biologically relevant stoichiometric constraints are readable as ...

The dorsal raphe nucleus (DRN) serotonergic (5-HT) system has been implicated in regulating sleep and motor control; however, its specific role remains controversial. In this study, we found that ...

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

Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable ...

Spirent’s James Kimery spoke with EEWorld on how testing Wi-Fi devices is becoming more of an end-to-end experience. The RF is mature; it’s time to move on to performance testing.